├── CNAME ├── arrays.classes.html ├── arrays.datetime.html ├── arrays.dtypes.html ├── arrays.html ├── arrays.indexing.html ├── arrays.interface.html ├── arrays.ndarray.html ├── arrays.nditer.html ├── arrays.scalars.html ├── c-api.array.html ├── c-api.config.html ├── c-api.coremath.html ├── c-api.deprecations.html ├── c-api.dtype.html ├── c-api.generalized-ufuncs.html ├── c-api.html ├── c-api.iterator.html ├── c-api.types-and-structures.html ├── c-api.ufunc.html ├── distutils.html ├── generated ├── numpy.DataSource.abspath.html ├── numpy.DataSource.exists.html ├── numpy.DataSource.html ├── numpy.DataSource.open.html ├── numpy.MachAr.html ├── numpy.RankWarning.html ├── numpy.absolute.html ├── numpy.add.html ├── numpy.all.html ├── numpy.allclose.html ├── numpy.alterdot.html ├── numpy.amax.html ├── numpy.amin.html ├── numpy.angle.html ├── numpy.any.html ├── numpy.append.html ├── numpy.apply_along_axis.html ├── numpy.apply_over_axes.html ├── numpy.arange.html ├── numpy.arccos.html ├── numpy.arccosh.html ├── numpy.arcsin.html ├── numpy.arcsinh.html ├── numpy.arctan.html ├── numpy.arctan2.html ├── numpy.arctanh.html ├── numpy.argmax.html ├── numpy.argmin.html ├── numpy.argpartition.html ├── numpy.argsort.html ├── numpy.argwhere.html ├── numpy.around.html ├── numpy.array.html ├── numpy.array2string.html ├── numpy.array_equal.html ├── numpy.array_equiv.html ├── numpy.array_repr.html ├── numpy.array_split.html ├── numpy.array_str.html ├── numpy.asanyarray.html ├── numpy.asarray.html ├── numpy.asarray_chkfinite.html ├── numpy.ascontiguousarray.html ├── numpy.asfarray.html ├── numpy.asfortranarray.html ├── numpy.asmatrix.html ├── numpy.asscalar.html ├── numpy.atleast_1d.html ├── numpy.atleast_2d.html ├── numpy.atleast_3d.html ├── numpy.average.html ├── numpy.bartlett.html ├── numpy.base_repr.html ├── numpy.binary_repr.html ├── numpy.bincount.html ├── numpy.bitwise_and.html ├── numpy.bitwise_or.html ├── numpy.bitwise_xor.html ├── numpy.blackman.html ├── numpy.bmat.html ├── numpy.broadcast.html ├── numpy.broadcast.index.html ├── numpy.broadcast.iters.html ├── numpy.broadcast.next.html ├── numpy.broadcast.reset.html ├── numpy.broadcast.shape.html ├── numpy.broadcast.size.html ├── numpy.broadcast_arrays.html ├── numpy.broadcast_to.html ├── numpy.busday_count.html ├── numpy.busday_offset.html ├── numpy.busdaycalendar.holidays.html ├── numpy.busdaycalendar.html ├── numpy.busdaycalendar.weekmask.html ├── numpy.c_.html ├── numpy.can_cast.html ├── numpy.cbrt.html ├── numpy.ceil.html ├── numpy.chararray.T.html ├── numpy.chararray.astype.html ├── numpy.chararray.base.html ├── numpy.chararray.copy.html ├── numpy.chararray.count.html ├── numpy.chararray.ctypes.html ├── numpy.chararray.data.html ├── numpy.chararray.decode.html ├── numpy.chararray.dtype.html ├── numpy.chararray.dump.html ├── numpy.chararray.dumps.html ├── numpy.chararray.encode.html ├── numpy.chararray.endswith.html ├── numpy.chararray.expandtabs.html ├── numpy.chararray.fill.html ├── numpy.chararray.find.html ├── numpy.chararray.flags.html ├── numpy.chararray.flat.html ├── numpy.chararray.flatten.html ├── numpy.chararray.getfield.html ├── numpy.chararray.html ├── numpy.chararray.imag.html ├── numpy.chararray.index.html ├── numpy.chararray.isalnum.html ├── numpy.chararray.isalpha.html ├── numpy.chararray.isdecimal.html ├── numpy.chararray.isdigit.html ├── numpy.chararray.islower.html ├── numpy.chararray.isnumeric.html ├── numpy.chararray.isspace.html ├── numpy.chararray.istitle.html ├── numpy.chararray.isupper.html ├── numpy.chararray.item.html ├── numpy.chararray.itemsize.html ├── numpy.chararray.join.html ├── numpy.chararray.ljust.html ├── numpy.chararray.lower.html ├── numpy.chararray.lstrip.html ├── numpy.chararray.nbytes.html ├── numpy.chararray.ndim.html ├── numpy.chararray.nonzero.html ├── numpy.chararray.put.html ├── numpy.chararray.ravel.html ├── numpy.chararray.real.html ├── numpy.chararray.repeat.html ├── numpy.chararray.replace.html ├── numpy.chararray.reshape.html ├── numpy.chararray.resize.html ├── numpy.chararray.rfind.html ├── numpy.chararray.rindex.html ├── numpy.chararray.rjust.html ├── numpy.chararray.rsplit.html ├── numpy.chararray.rstrip.html ├── numpy.chararray.searchsorted.html ├── numpy.chararray.setfield.html ├── numpy.chararray.setflags.html ├── numpy.chararray.shape.html ├── numpy.chararray.size.html ├── numpy.chararray.sort.html ├── numpy.chararray.split.html ├── numpy.chararray.splitlines.html ├── numpy.chararray.squeeze.html ├── numpy.chararray.startswith.html ├── numpy.chararray.strides.html ├── numpy.chararray.strip.html ├── numpy.chararray.swapaxes.html ├── numpy.chararray.swapcase.html ├── numpy.chararray.take.html ├── numpy.chararray.title.html ├── numpy.chararray.tofile.html ├── numpy.chararray.tolist.html ├── numpy.chararray.tostring.html ├── numpy.chararray.translate.html ├── numpy.chararray.transpose.html ├── numpy.chararray.upper.html ├── numpy.chararray.view.html ├── numpy.chararray.zfill.html ├── numpy.choose.html ├── numpy.clip.html ├── numpy.column_stack.html ├── numpy.common_type.html ├── numpy.compress.html ├── numpy.concatenate.html ├── numpy.conj.html ├── numpy.convolve.html ├── numpy.copy.html ├── numpy.copysign.html ├── numpy.copyto.html ├── numpy.core.defchararray.add.html ├── numpy.core.defchararray.array.html ├── numpy.core.defchararray.asarray.html ├── numpy.core.defchararray.capitalize.html ├── numpy.core.defchararray.center.html ├── numpy.core.defchararray.chararray.T.html ├── numpy.core.defchararray.chararray.astype.html ├── numpy.core.defchararray.chararray.base.html ├── numpy.core.defchararray.chararray.copy.html ├── numpy.core.defchararray.chararray.count.html ├── numpy.core.defchararray.chararray.ctypes.html ├── numpy.core.defchararray.chararray.data.html ├── numpy.core.defchararray.chararray.decode.html ├── numpy.core.defchararray.chararray.dtype.html ├── numpy.core.defchararray.chararray.dump.html ├── numpy.core.defchararray.chararray.dumps.html ├── numpy.core.defchararray.chararray.encode.html ├── numpy.core.defchararray.chararray.endswith.html ├── numpy.core.defchararray.chararray.expandtabs.html ├── numpy.core.defchararray.chararray.fill.html ├── numpy.core.defchararray.chararray.find.html ├── numpy.core.defchararray.chararray.flags.html ├── numpy.core.defchararray.chararray.flat.html ├── numpy.core.defchararray.chararray.flatten.html ├── numpy.core.defchararray.chararray.getfield.html ├── numpy.core.defchararray.chararray.html ├── numpy.core.defchararray.chararray.imag.html ├── numpy.core.defchararray.chararray.index.html ├── numpy.core.defchararray.chararray.isalnum.html ├── numpy.core.defchararray.chararray.isalpha.html ├── numpy.core.defchararray.chararray.isdecimal.html ├── numpy.core.defchararray.chararray.isdigit.html ├── numpy.core.defchararray.chararray.islower.html ├── numpy.core.defchararray.chararray.isnumeric.html ├── numpy.core.defchararray.chararray.isspace.html ├── numpy.core.defchararray.chararray.istitle.html ├── numpy.core.defchararray.chararray.isupper.html ├── numpy.core.defchararray.chararray.item.html ├── numpy.core.defchararray.chararray.itemsize.html ├── numpy.core.defchararray.chararray.join.html ├── numpy.core.defchararray.chararray.ljust.html ├── numpy.core.defchararray.chararray.lower.html ├── numpy.core.defchararray.chararray.lstrip.html ├── numpy.core.defchararray.chararray.nbytes.html ├── numpy.core.defchararray.chararray.ndim.html ├── numpy.core.defchararray.chararray.nonzero.html ├── numpy.core.defchararray.chararray.put.html ├── numpy.core.defchararray.chararray.ravel.html ├── numpy.core.defchararray.chararray.real.html ├── numpy.core.defchararray.chararray.repeat.html ├── numpy.core.defchararray.chararray.replace.html ├── numpy.core.defchararray.chararray.reshape.html ├── numpy.core.defchararray.chararray.resize.html ├── numpy.core.defchararray.chararray.rfind.html ├── numpy.core.defchararray.chararray.rindex.html ├── numpy.core.defchararray.chararray.rjust.html ├── numpy.core.defchararray.chararray.rsplit.html ├── numpy.core.defchararray.chararray.rstrip.html ├── numpy.core.defchararray.chararray.searchsorted.html ├── numpy.core.defchararray.chararray.setfield.html ├── numpy.core.defchararray.chararray.setflags.html ├── numpy.core.defchararray.chararray.shape.html ├── numpy.core.defchararray.chararray.size.html ├── numpy.core.defchararray.chararray.sort.html ├── numpy.core.defchararray.chararray.split.html ├── numpy.core.defchararray.chararray.splitlines.html ├── numpy.core.defchararray.chararray.squeeze.html ├── numpy.core.defchararray.chararray.startswith.html ├── numpy.core.defchararray.chararray.strides.html ├── numpy.core.defchararray.chararray.strip.html ├── numpy.core.defchararray.chararray.swapaxes.html ├── numpy.core.defchararray.chararray.swapcase.html ├── numpy.core.defchararray.chararray.take.html ├── numpy.core.defchararray.chararray.title.html ├── numpy.core.defchararray.chararray.tofile.html ├── numpy.core.defchararray.chararray.tolist.html ├── numpy.core.defchararray.chararray.tostring.html ├── numpy.core.defchararray.chararray.translate.html ├── numpy.core.defchararray.chararray.transpose.html ├── numpy.core.defchararray.chararray.upper.html ├── numpy.core.defchararray.chararray.view.html ├── numpy.core.defchararray.chararray.zfill.html ├── numpy.core.defchararray.count.html ├── numpy.core.defchararray.decode.html ├── numpy.core.defchararray.encode.html ├── numpy.core.defchararray.equal.html ├── numpy.core.defchararray.find.html ├── numpy.core.defchararray.greater.html ├── numpy.core.defchararray.greater_equal.html ├── numpy.core.defchararray.index.html ├── numpy.core.defchararray.isalpha.html ├── numpy.core.defchararray.isdecimal.html ├── numpy.core.defchararray.isdigit.html ├── numpy.core.defchararray.islower.html ├── numpy.core.defchararray.isnumeric.html ├── numpy.core.defchararray.isspace.html ├── numpy.core.defchararray.istitle.html ├── numpy.core.defchararray.isupper.html ├── numpy.core.defchararray.join.html ├── numpy.core.defchararray.less.html ├── numpy.core.defchararray.less_equal.html ├── numpy.core.defchararray.ljust.html ├── numpy.core.defchararray.lower.html ├── numpy.core.defchararray.lstrip.html ├── numpy.core.defchararray.mod.html ├── numpy.core.defchararray.multiply.html ├── numpy.core.defchararray.not_equal.html ├── numpy.core.defchararray.partition.html ├── numpy.core.defchararray.replace.html ├── numpy.core.defchararray.rfind.html ├── numpy.core.defchararray.rindex.html ├── numpy.core.defchararray.rjust.html ├── numpy.core.defchararray.rpartition.html ├── numpy.core.defchararray.rsplit.html ├── numpy.core.defchararray.rstrip.html ├── numpy.core.defchararray.split.html ├── numpy.core.defchararray.splitlines.html ├── numpy.core.defchararray.startswith.html ├── numpy.core.defchararray.strip.html ├── numpy.core.defchararray.swapcase.html ├── numpy.core.defchararray.title.html ├── numpy.core.defchararray.translate.html ├── numpy.core.defchararray.upper.html ├── numpy.core.defchararray.zfill.html ├── numpy.core.records.array.html ├── numpy.core.records.fromarrays.html ├── numpy.core.records.fromfile.html ├── numpy.core.records.fromrecords.html ├── numpy.core.records.fromstring.html ├── numpy.corrcoef.html ├── numpy.correlate.html ├── numpy.cos.html ├── numpy.cosh.html ├── numpy.count_nonzero.html ├── numpy.cov.html ├── numpy.cross.html ├── numpy.cumprod.html ├── numpy.cumsum.html ├── numpy.deg2rad.html ├── numpy.degrees.html ├── numpy.delete.html ├── numpy.diag.html ├── numpy.diag_indices.html ├── numpy.diag_indices_from.html ├── numpy.diagflat.html ├── numpy.diagonal.html ├── numpy.diff.html ├── numpy.digitize.html ├── numpy.distutils.cpuinfo.cpu.html ├── numpy.distutils.exec_command.html ├── numpy.distutils.log.set_verbosity.html ├── numpy.distutils.misc_util.all_strings.html ├── numpy.distutils.misc_util.allpath.html ├── numpy.distutils.misc_util.appendpath.html ├── numpy.distutils.misc_util.blue_text.html ├── numpy.distutils.misc_util.cyan_text.html ├── numpy.distutils.misc_util.cyg2win32.html ├── numpy.distutils.misc_util.dict_append.html ├── numpy.distutils.misc_util.dot_join.html ├── numpy.distutils.misc_util.filter_sources.html ├── numpy.distutils.misc_util.generate_config_py.html ├── numpy.distutils.misc_util.get_cmd.html ├── numpy.distutils.misc_util.get_dependencies.html ├── numpy.distutils.misc_util.get_ext_source_files.html ├── numpy.distutils.misc_util.get_numpy_include_dirs.html ├── numpy.distutils.misc_util.get_script_files.html ├── numpy.distutils.misc_util.green_text.html ├── numpy.distutils.misc_util.has_cxx_sources.html ├── numpy.distutils.misc_util.has_f_sources.html ├── numpy.distutils.misc_util.is_local_src_dir.html ├── numpy.distutils.misc_util.red_text.html ├── numpy.distutils.misc_util.terminal_has_colors.html ├── numpy.distutils.misc_util.yellow_text.html ├── numpy.distutils.system_info.get_info.html ├── numpy.distutils.system_info.get_standard_file.html ├── numpy.divide.html ├── numpy.dot.html ├── numpy.dsplit.html ├── numpy.dstack.html ├── numpy.dtype.__reduce__.html ├── numpy.dtype.__setstate__.html ├── numpy.dtype.alignment.html ├── numpy.dtype.base.html ├── numpy.dtype.byteorder.html ├── numpy.dtype.char.html ├── numpy.dtype.descr.html ├── numpy.dtype.fields.html ├── numpy.dtype.flags.html ├── numpy.dtype.hasobject.html ├── numpy.dtype.html ├── numpy.dtype.isalignedstruct.html ├── numpy.dtype.isbuiltin.html ├── numpy.dtype.isnative.html ├── numpy.dtype.itemsize.html ├── numpy.dtype.kind.html ├── numpy.dtype.metadata.html ├── numpy.dtype.name.html ├── numpy.dtype.names.html ├── numpy.dtype.newbyteorder.html ├── numpy.dtype.num.html ├── numpy.dtype.shape.html ├── numpy.dtype.str.html ├── numpy.dtype.subdtype.html ├── numpy.dtype.type.html ├── numpy.ediff1d.html ├── numpy.einsum.html ├── numpy.empty.html ├── numpy.empty_like.html ├── numpy.equal.html ├── numpy.errstate.html ├── numpy.exp.html ├── numpy.exp2.html ├── numpy.expand_dims.html ├── numpy.expm1.html ├── numpy.extract.html ├── numpy.eye.html ├── numpy.fabs.html ├── numpy.fft.fft.html ├── numpy.fft.fft2.html ├── numpy.fft.fftfreq.html ├── numpy.fft.fftn.html ├── numpy.fft.fftshift.html ├── numpy.fft.hfft.html ├── numpy.fft.ifft.html ├── numpy.fft.ifft2.html ├── numpy.fft.ifftn.html ├── numpy.fft.ifftshift.html ├── numpy.fft.ihfft.html ├── numpy.fft.irfft.html ├── numpy.fft.irfft2.html ├── numpy.fft.irfftn.html ├── numpy.fft.rfft.html ├── numpy.fft.rfft2.html ├── numpy.fft.rfftfreq.html ├── numpy.fft.rfftn.html ├── numpy.fill_diagonal.html ├── numpy.find_common_type.html ├── numpy.finfo.html ├── numpy.fix.html ├── numpy.flatiter.coords.html ├── numpy.flatiter.copy.html ├── numpy.flatiter.html ├── numpy.flatiter.next.html ├── numpy.flatnonzero.html ├── numpy.fliplr.html ├── numpy.flipud.html ├── numpy.floor.html ├── numpy.floor_divide.html ├── numpy.fmax.html ├── numpy.fmin.html ├── numpy.fmod.html ├── numpy.format_parser.html ├── numpy.frexp.html ├── numpy.frombuffer.html ├── numpy.fromfile.html ├── numpy.fromfunction.html ├── numpy.fromiter.html ├── numpy.frompyfunc.html ├── numpy.fromregex.html ├── numpy.fromstring.html ├── numpy.full.html ├── numpy.full_like.html ├── numpy.fv.html ├── numpy.generic.T.html ├── numpy.generic.__array__.html ├── numpy.generic.__array_interface__.html ├── numpy.generic.__array_priority__.html ├── numpy.generic.__array_struct__.html ├── numpy.generic.__array_wrap__.html ├── numpy.generic.__reduce__.html ├── numpy.generic.__setstate__.html ├── numpy.generic.all.html ├── numpy.generic.any.html ├── numpy.generic.argmax.html ├── numpy.generic.argmin.html ├── numpy.generic.argsort.html ├── numpy.generic.astype.html ├── numpy.generic.base.html ├── numpy.generic.byteswap.html ├── numpy.generic.choose.html ├── numpy.generic.clip.html ├── numpy.generic.compress.html ├── numpy.generic.conj.html ├── numpy.generic.conjugate.html ├── numpy.generic.copy.html ├── numpy.generic.cumprod.html ├── numpy.generic.cumsum.html ├── numpy.generic.data.html ├── numpy.generic.diagonal.html ├── numpy.generic.dtype.html ├── numpy.generic.dump.html ├── numpy.generic.dumps.html ├── numpy.generic.fill.html ├── numpy.generic.flags.html ├── numpy.generic.flat.html ├── numpy.generic.flatten.html ├── numpy.generic.getfield.html ├── numpy.generic.html ├── numpy.generic.imag.html ├── numpy.generic.item.html ├── numpy.generic.itemset.html ├── numpy.generic.itemsize.html ├── numpy.generic.max.html ├── numpy.generic.mean.html ├── numpy.generic.min.html ├── numpy.generic.nbytes.html ├── numpy.generic.ndim.html ├── numpy.generic.newbyteorder.html ├── numpy.generic.nonzero.html ├── numpy.generic.prod.html ├── numpy.generic.ptp.html ├── numpy.generic.put.html ├── numpy.generic.ravel.html ├── numpy.generic.real.html ├── numpy.generic.repeat.html ├── numpy.generic.reshape.html ├── numpy.generic.resize.html ├── numpy.generic.round.html ├── numpy.generic.searchsorted.html ├── numpy.generic.setfield.html ├── numpy.generic.setflags.html ├── numpy.generic.shape.html ├── numpy.generic.size.html ├── numpy.generic.sort.html ├── numpy.generic.squeeze.html ├── numpy.generic.std.html ├── numpy.generic.strides.html ├── numpy.generic.sum.html ├── numpy.generic.swapaxes.html ├── numpy.generic.take.html ├── numpy.generic.tobytes.html ├── numpy.generic.tofile.html ├── numpy.generic.tolist.html ├── numpy.generic.tostring.html ├── numpy.generic.trace.html ├── numpy.generic.transpose.html ├── numpy.generic.var.html ├── numpy.generic.view.html ├── numpy.genfromtxt.html ├── numpy.get_printoptions.html ├── numpy.getbuffer.html ├── numpy.getbufsize.html ├── numpy.geterr.html ├── numpy.geterrcall.html ├── numpy.geterrobj.html ├── numpy.gradient.html ├── numpy.greater.html ├── numpy.greater_equal.html ├── numpy.hamming.html ├── numpy.hanning.html ├── numpy.histogram.html ├── numpy.histogram2d.html ├── numpy.histogramdd.html ├── numpy.hsplit.html ├── numpy.hstack.html ├── numpy.hypot.html ├── numpy.i0.html ├── numpy.identity.html ├── numpy.iinfo.html ├── numpy.iinfo.max.html ├── numpy.iinfo.min.html ├── numpy.imag.html ├── numpy.in1d.html ├── numpy.indices.html ├── numpy.info.html ├── numpy.inner.html ├── numpy.insert.html ├── numpy.interp.html ├── numpy.intersect1d.html ├── numpy.invert.html ├── numpy.ipmt.html ├── numpy.irr.html ├── numpy.is_busday.html ├── numpy.isclose.html ├── numpy.iscomplex.html ├── numpy.iscomplexobj.html ├── numpy.isfinite.html ├── numpy.isfortran.html ├── numpy.isinf.html ├── numpy.isnan.html ├── numpy.isneginf.html ├── numpy.isposinf.html ├── numpy.isreal.html ├── numpy.isrealobj.html ├── numpy.isscalar.html ├── numpy.issctype.html ├── numpy.issubclass_.html ├── numpy.issubdtype.html ├── numpy.issubsctype.html ├── numpy.ix_.html ├── numpy.kaiser.html ├── numpy.kron.html ├── numpy.ldexp.html ├── numpy.left_shift.html ├── numpy.less.html ├── numpy.less_equal.html ├── numpy.lexsort.html ├── numpy.lib.Arrayterator.flat.html ├── numpy.lib.Arrayterator.html ├── numpy.lib.Arrayterator.shape.html ├── numpy.lib.NumpyVersion.html ├── numpy.lib.user_array.container.html ├── numpy.linalg.LinAlgError.html ├── numpy.linalg.cholesky.html ├── numpy.linalg.cond.html ├── numpy.linalg.det.html ├── numpy.linalg.eig.html ├── numpy.linalg.eigh.html ├── numpy.linalg.eigvals.html ├── numpy.linalg.eigvalsh.html ├── numpy.linalg.inv.html ├── numpy.linalg.lstsq.html ├── numpy.linalg.matrix_power.html ├── numpy.linalg.matrix_rank.html ├── numpy.linalg.norm.html ├── numpy.linalg.pinv.html ├── numpy.linalg.qr.html ├── numpy.linalg.slogdet.html ├── numpy.linalg.solve.html ├── numpy.linalg.svd.html ├── numpy.linalg.tensorinv.html ├── numpy.linalg.tensorsolve.html ├── numpy.linspace.html ├── numpy.load.html ├── numpy.loadtxt.html ├── numpy.log.html ├── numpy.log10.html ├── numpy.log1p.html ├── numpy.log2.html ├── numpy.logaddexp.html ├── numpy.logaddexp2.html ├── numpy.logical_and.html ├── numpy.logical_not.html ├── numpy.logical_or.html ├── numpy.logical_xor.html ├── numpy.logspace.html ├── numpy.lookfor.html ├── numpy.ma.MaskType.html ├── numpy.ma.MaskedArray.T.html ├── numpy.ma.MaskedArray.__abs__.html ├── numpy.ma.MaskedArray.__add__.html ├── numpy.ma.MaskedArray.__and__.html ├── numpy.ma.MaskedArray.__array__.html ├── numpy.ma.MaskedArray.__array_priority__.html ├── numpy.ma.MaskedArray.__array_wrap__.html ├── numpy.ma.MaskedArray.__contains__.html ├── numpy.ma.MaskedArray.__copy__.html ├── numpy.ma.MaskedArray.__deepcopy__.html ├── numpy.ma.MaskedArray.__delitem__.html ├── numpy.ma.MaskedArray.__div__.html ├── numpy.ma.MaskedArray.__divmod__.html ├── numpy.ma.MaskedArray.__eq__.html ├── numpy.ma.MaskedArray.__float__.html ├── numpy.ma.MaskedArray.__floordiv__.html ├── numpy.ma.MaskedArray.__ge__.html ├── numpy.ma.MaskedArray.__getitem__.html ├── numpy.ma.MaskedArray.__getstate__.html ├── numpy.ma.MaskedArray.__gt__.html ├── numpy.ma.MaskedArray.__hex__.html ├── numpy.ma.MaskedArray.__iadd__.html ├── numpy.ma.MaskedArray.__iand__.html ├── numpy.ma.MaskedArray.__idiv__.html ├── numpy.ma.MaskedArray.__ifloordiv__.html ├── numpy.ma.MaskedArray.__ilshift__.html ├── numpy.ma.MaskedArray.__imod__.html ├── numpy.ma.MaskedArray.__imul__.html ├── numpy.ma.MaskedArray.__int__.html ├── numpy.ma.MaskedArray.__ior__.html ├── numpy.ma.MaskedArray.__ipow__.html ├── numpy.ma.MaskedArray.__irshift__.html ├── numpy.ma.MaskedArray.__isub__.html ├── numpy.ma.MaskedArray.__itruediv__.html ├── numpy.ma.MaskedArray.__ixor__.html ├── numpy.ma.MaskedArray.__le__.html ├── numpy.ma.MaskedArray.__len__.html ├── numpy.ma.MaskedArray.__long__.html ├── numpy.ma.MaskedArray.__lshift__.html ├── numpy.ma.MaskedArray.__lt__.html ├── numpy.ma.MaskedArray.__mod__.html ├── numpy.ma.MaskedArray.__mul__.html ├── numpy.ma.MaskedArray.__ne__.html ├── numpy.ma.MaskedArray.__new__.html ├── numpy.ma.MaskedArray.__nonzero__.html ├── numpy.ma.MaskedArray.__oct__.html ├── numpy.ma.MaskedArray.__or__.html ├── numpy.ma.MaskedArray.__pow__.html ├── numpy.ma.MaskedArray.__radd__.html ├── numpy.ma.MaskedArray.__rand__.html ├── numpy.ma.MaskedArray.__rdiv__.html ├── numpy.ma.MaskedArray.__rdivmod__.html ├── numpy.ma.MaskedArray.__reduce__.html ├── numpy.ma.MaskedArray.__repr__.html ├── numpy.ma.MaskedArray.__rfloordiv__.html ├── numpy.ma.MaskedArray.__rlshift__.html ├── numpy.ma.MaskedArray.__rmod__.html ├── numpy.ma.MaskedArray.__rmul__.html ├── numpy.ma.MaskedArray.__ror__.html ├── numpy.ma.MaskedArray.__rpow__.html ├── numpy.ma.MaskedArray.__rrshift__.html ├── numpy.ma.MaskedArray.__rshift__.html ├── numpy.ma.MaskedArray.__rsub__.html ├── numpy.ma.MaskedArray.__rtruediv__.html ├── numpy.ma.MaskedArray.__rxor__.html ├── numpy.ma.MaskedArray.__setitem__.html ├── numpy.ma.MaskedArray.__setmask__.html ├── numpy.ma.MaskedArray.__setstate__.html ├── numpy.ma.MaskedArray.__str__.html ├── numpy.ma.MaskedArray.__sub__.html ├── numpy.ma.MaskedArray.__truediv__.html ├── numpy.ma.MaskedArray.__xor__.html ├── numpy.ma.MaskedArray.all.html ├── numpy.ma.MaskedArray.anom.html ├── numpy.ma.MaskedArray.any.html ├── numpy.ma.MaskedArray.argmax.html ├── numpy.ma.MaskedArray.argmin.html ├── numpy.ma.MaskedArray.argsort.html ├── numpy.ma.MaskedArray.astype.html ├── numpy.ma.MaskedArray.base.html ├── numpy.ma.MaskedArray.byteswap.html ├── numpy.ma.MaskedArray.choose.html ├── numpy.ma.MaskedArray.clip.html ├── numpy.ma.MaskedArray.compress.html ├── numpy.ma.MaskedArray.compressed.html ├── numpy.ma.MaskedArray.conj.html ├── numpy.ma.MaskedArray.conjugate.html ├── numpy.ma.MaskedArray.copy.html ├── numpy.ma.MaskedArray.count.html ├── numpy.ma.MaskedArray.ctypes.html ├── numpy.ma.MaskedArray.cumprod.html ├── numpy.ma.MaskedArray.cumsum.html ├── numpy.ma.MaskedArray.data.html ├── numpy.ma.MaskedArray.diagonal.html ├── numpy.ma.MaskedArray.dtype.html ├── numpy.ma.MaskedArray.dump.html ├── numpy.ma.MaskedArray.dumps.html ├── numpy.ma.MaskedArray.fill.html ├── numpy.ma.MaskedArray.fill_value.html ├── numpy.ma.MaskedArray.filled.html ├── numpy.ma.MaskedArray.flags.html ├── numpy.ma.MaskedArray.flat.html ├── numpy.ma.MaskedArray.flatten.html ├── numpy.ma.MaskedArray.get_fill_value.html ├── numpy.ma.MaskedArray.harden_mask.html ├── numpy.ma.MaskedArray.ids.html ├── numpy.ma.MaskedArray.imag.html ├── numpy.ma.MaskedArray.iscontiguous.html ├── numpy.ma.MaskedArray.item.html ├── numpy.ma.MaskedArray.itemsize.html ├── numpy.ma.MaskedArray.mask.html ├── numpy.ma.MaskedArray.max.html ├── numpy.ma.MaskedArray.mean.html ├── numpy.ma.MaskedArray.min.html ├── numpy.ma.MaskedArray.nbytes.html ├── numpy.ma.MaskedArray.ndim.html ├── numpy.ma.MaskedArray.nonzero.html ├── numpy.ma.MaskedArray.prod.html ├── numpy.ma.MaskedArray.product.html ├── numpy.ma.MaskedArray.ptp.html ├── numpy.ma.MaskedArray.put.html ├── numpy.ma.MaskedArray.ravel.html ├── numpy.ma.MaskedArray.real.html ├── numpy.ma.MaskedArray.recordmask.html ├── numpy.ma.MaskedArray.repeat.html ├── numpy.ma.MaskedArray.reshape.html ├── numpy.ma.MaskedArray.resize.html ├── numpy.ma.MaskedArray.round.html ├── numpy.ma.MaskedArray.searchsorted.html ├── numpy.ma.MaskedArray.set_fill_value.html ├── numpy.ma.MaskedArray.shape.html ├── numpy.ma.MaskedArray.shrink_mask.html ├── numpy.ma.MaskedArray.size.html ├── numpy.ma.MaskedArray.soften_mask.html ├── numpy.ma.MaskedArray.sort.html ├── numpy.ma.MaskedArray.squeeze.html ├── numpy.ma.MaskedArray.std.html ├── numpy.ma.MaskedArray.strides.html ├── numpy.ma.MaskedArray.sum.html ├── numpy.ma.MaskedArray.swapaxes.html ├── numpy.ma.MaskedArray.take.html ├── numpy.ma.MaskedArray.tobytes.html ├── numpy.ma.MaskedArray.tofile.html ├── numpy.ma.MaskedArray.toflex.html ├── numpy.ma.MaskedArray.tolist.html ├── numpy.ma.MaskedArray.torecords.html ├── numpy.ma.MaskedArray.tostring.html ├── numpy.ma.MaskedArray.trace.html ├── numpy.ma.MaskedArray.transpose.html ├── numpy.ma.MaskedArray.unshare_mask.html ├── numpy.ma.MaskedArray.var.html ├── numpy.ma.MaskedArray.view.html ├── numpy.ma.all.html ├── numpy.ma.allclose.html ├── numpy.ma.allequal.html ├── numpy.ma.anom.html ├── numpy.ma.anomalies.html ├── numpy.ma.any.html ├── numpy.ma.append.html ├── numpy.ma.apply_along_axis.html ├── numpy.ma.arange.html ├── numpy.ma.argmax.html ├── numpy.ma.argmin.html ├── numpy.ma.argsort.html ├── numpy.ma.around.html ├── numpy.ma.array.html ├── numpy.ma.asanyarray.html ├── numpy.ma.asarray.html ├── numpy.ma.atleast_1d.html ├── numpy.ma.atleast_2d.html ├── numpy.ma.atleast_3d.html ├── numpy.ma.average.html ├── numpy.ma.choose.html ├── numpy.ma.clip.html ├── numpy.ma.clump_masked.html ├── numpy.ma.clump_unmasked.html ├── numpy.ma.column_stack.html ├── numpy.ma.common_fill_value.html ├── numpy.ma.compress_cols.html ├── numpy.ma.compress_rowcols.html ├── numpy.ma.compress_rows.html ├── numpy.ma.compressed.html ├── numpy.ma.concatenate.html ├── numpy.ma.conjugate.html ├── numpy.ma.copy.html ├── numpy.ma.corrcoef.html ├── numpy.ma.count.html ├── numpy.ma.count_masked.html ├── numpy.ma.cov.html ├── numpy.ma.cumprod.html ├── numpy.ma.cumsum.html ├── numpy.ma.default_fill_value.html ├── numpy.ma.diag.html ├── numpy.ma.dot.html ├── numpy.ma.dstack.html ├── numpy.ma.dump.html ├── numpy.ma.dumps.html ├── numpy.ma.ediff1d.html ├── numpy.ma.empty.html ├── numpy.ma.empty_like.html ├── numpy.ma.expand_dims.html ├── numpy.ma.filled.html ├── numpy.ma.fix_invalid.html ├── numpy.ma.flatnotmasked_contiguous.html ├── numpy.ma.flatnotmasked_edges.html ├── numpy.ma.frombuffer.html ├── numpy.ma.fromfunction.html ├── numpy.ma.getdata.html ├── numpy.ma.getmask.html ├── numpy.ma.getmaskarray.html ├── numpy.ma.harden_mask.html ├── numpy.ma.hsplit.html ├── numpy.ma.hstack.html ├── numpy.ma.identity.html ├── numpy.ma.indices.html ├── numpy.ma.inner.html ├── numpy.ma.innerproduct.html ├── numpy.ma.is_mask.html ├── numpy.ma.is_masked.html ├── numpy.ma.load.html ├── numpy.ma.loads.html ├── numpy.ma.make_mask.html ├── numpy.ma.make_mask_descr.html ├── numpy.ma.make_mask_none.html ├── numpy.ma.mask_cols.html ├── numpy.ma.mask_or.html ├── numpy.ma.mask_rowcols.html ├── numpy.ma.mask_rows.html ├── numpy.ma.masked_all.html ├── numpy.ma.masked_all_like.html ├── numpy.ma.masked_array.html ├── numpy.ma.masked_array.mask.html ├── numpy.ma.masked_equal.html ├── numpy.ma.masked_greater.html ├── numpy.ma.masked_greater_equal.html ├── numpy.ma.masked_inside.html ├── numpy.ma.masked_invalid.html ├── numpy.ma.masked_less.html ├── numpy.ma.masked_less_equal.html ├── numpy.ma.masked_not_equal.html ├── numpy.ma.masked_object.html ├── numpy.ma.masked_outside.html ├── numpy.ma.masked_values.html ├── numpy.ma.masked_where.html ├── numpy.ma.max.html ├── numpy.ma.maximum_fill_value.html ├── numpy.ma.mean.html ├── numpy.ma.median.html ├── numpy.ma.min.html ├── numpy.ma.mr_.html ├── numpy.ma.nonzero.html ├── numpy.ma.notmasked_contiguous.html ├── numpy.ma.notmasked_edges.html ├── numpy.ma.ones.html ├── numpy.ma.outer.html ├── numpy.ma.outerproduct.html ├── numpy.ma.polyfit.html ├── numpy.ma.power.html ├── numpy.ma.prod.html ├── numpy.ma.ptp.html ├── numpy.ma.ravel.html ├── numpy.ma.reshape.html ├── numpy.ma.resize.html ├── numpy.ma.round.html ├── numpy.ma.row_stack.html ├── numpy.ma.set_fill_value.html ├── numpy.ma.shape.html ├── numpy.ma.size.html ├── numpy.ma.soften_mask.html ├── numpy.ma.sort.html ├── numpy.ma.squeeze.html ├── numpy.ma.std.html ├── numpy.ma.sum.html ├── numpy.ma.swapaxes.html ├── numpy.ma.trace.html ├── numpy.ma.transpose.html ├── numpy.ma.vander.html ├── numpy.ma.var.html ├── numpy.ma.vstack.html ├── numpy.ma.where.html ├── numpy.ma.zeros.html ├── numpy.mask_indices.html ├── numpy.mat.html ├── numpy.matlib.empty.html ├── numpy.matlib.eye.html ├── numpy.matlib.identity.html ├── numpy.matlib.ones.html ├── numpy.matlib.rand.html ├── numpy.matlib.randn.html ├── numpy.matlib.repmat.html ├── numpy.matlib.zeros.html ├── numpy.matmul.html ├── numpy.matrix.A.html ├── numpy.matrix.A1.html ├── numpy.matrix.H.html ├── numpy.matrix.I.html ├── numpy.matrix.T.html ├── numpy.matrix.all.html ├── numpy.matrix.any.html ├── numpy.matrix.argmax.html ├── numpy.matrix.argmin.html ├── numpy.matrix.argpartition.html ├── numpy.matrix.argsort.html ├── numpy.matrix.astype.html ├── numpy.matrix.base.html ├── numpy.matrix.byteswap.html ├── numpy.matrix.choose.html ├── numpy.matrix.clip.html ├── numpy.matrix.compress.html ├── numpy.matrix.conj.html ├── numpy.matrix.conjugate.html ├── numpy.matrix.copy.html ├── numpy.matrix.ctypes.html ├── numpy.matrix.cumprod.html ├── numpy.matrix.cumsum.html ├── numpy.matrix.data.html ├── numpy.matrix.diagonal.html ├── numpy.matrix.dot.html ├── numpy.matrix.dtype.html ├── numpy.matrix.dump.html ├── numpy.matrix.dumps.html ├── numpy.matrix.fill.html ├── numpy.matrix.flags.html ├── numpy.matrix.flat.html ├── numpy.matrix.flatten.html ├── numpy.matrix.getA.html ├── numpy.matrix.getA1.html ├── numpy.matrix.getH.html ├── numpy.matrix.getI.html ├── numpy.matrix.getT.html ├── numpy.matrix.getfield.html ├── numpy.matrix.html ├── numpy.matrix.imag.html ├── numpy.matrix.item.html ├── numpy.matrix.itemset.html ├── numpy.matrix.itemsize.html ├── numpy.matrix.max.html ├── numpy.matrix.mean.html ├── numpy.matrix.min.html ├── numpy.matrix.nbytes.html ├── numpy.matrix.ndim.html ├── numpy.matrix.newbyteorder.html ├── numpy.matrix.nonzero.html ├── numpy.matrix.partition.html ├── numpy.matrix.prod.html ├── numpy.matrix.ptp.html ├── numpy.matrix.put.html ├── numpy.matrix.ravel.html ├── numpy.matrix.real.html ├── numpy.matrix.repeat.html ├── numpy.matrix.reshape.html ├── numpy.matrix.resize.html ├── numpy.matrix.round.html ├── numpy.matrix.searchsorted.html ├── numpy.matrix.setfield.html ├── numpy.matrix.setflags.html ├── numpy.matrix.shape.html ├── numpy.matrix.size.html ├── numpy.matrix.sort.html ├── numpy.matrix.squeeze.html ├── numpy.matrix.std.html ├── numpy.matrix.strides.html ├── numpy.matrix.sum.html ├── numpy.matrix.swapaxes.html ├── numpy.matrix.take.html ├── numpy.matrix.tobytes.html ├── numpy.matrix.tofile.html ├── numpy.matrix.tolist.html ├── numpy.matrix.tostring.html ├── numpy.matrix.trace.html ├── numpy.matrix.transpose.html ├── numpy.matrix.var.html ├── numpy.matrix.view.html ├── numpy.maximum.html ├── numpy.may_share_memory.html ├── numpy.mean.html ├── numpy.median.html ├── numpy.memmap.flush.html ├── numpy.memmap.html ├── numpy.meshgrid.html ├── numpy.mgrid.html ├── numpy.min_scalar_type.html ├── numpy.minimum.html ├── numpy.mintypecode.html ├── numpy.mirr.html ├── numpy.mod.html ├── numpy.modf.html ├── numpy.moveaxis.html ├── numpy.msort.html ├── numpy.multiply.html ├── numpy.nan_to_num.html ├── numpy.nanargmax.html ├── numpy.nanargmin.html ├── numpy.nanmax.html ├── numpy.nanmean.html ├── numpy.nanmedian.html ├── numpy.nanmin.html ├── numpy.nanpercentile.html ├── numpy.nanprod.html ├── numpy.nanstd.html ├── numpy.nansum.html ├── numpy.nanvar.html ├── numpy.ndarray.T.html ├── numpy.ndarray.__abs__.html ├── numpy.ndarray.__add__.html ├── numpy.ndarray.__and__.html ├── numpy.ndarray.__array__.html ├── numpy.ndarray.__array_wrap__.html ├── numpy.ndarray.__contains__.html ├── numpy.ndarray.__copy__.html ├── numpy.ndarray.__deepcopy__.html ├── numpy.ndarray.__div__.html ├── numpy.ndarray.__divmod__.html ├── numpy.ndarray.__eq__.html ├── numpy.ndarray.__float__.html ├── numpy.ndarray.__floordiv__.html ├── numpy.ndarray.__ge__.html ├── numpy.ndarray.__getitem__.html ├── numpy.ndarray.__gt__.html ├── numpy.ndarray.__hex__.html ├── numpy.ndarray.__iadd__.html ├── numpy.ndarray.__iand__.html ├── numpy.ndarray.__idiv__.html ├── numpy.ndarray.__ifloordiv__.html ├── numpy.ndarray.__ilshift__.html ├── numpy.ndarray.__imod__.html ├── numpy.ndarray.__imul__.html ├── numpy.ndarray.__int__.html ├── numpy.ndarray.__invert__.html ├── numpy.ndarray.__ior__.html ├── numpy.ndarray.__ipow__.html ├── numpy.ndarray.__irshift__.html ├── numpy.ndarray.__isub__.html ├── numpy.ndarray.__itruediv__.html ├── numpy.ndarray.__ixor__.html ├── numpy.ndarray.__le__.html ├── numpy.ndarray.__len__.html ├── numpy.ndarray.__long__.html ├── numpy.ndarray.__lshift__.html ├── numpy.ndarray.__lt__.html ├── numpy.ndarray.__mod__.html ├── numpy.ndarray.__mul__.html ├── numpy.ndarray.__ne__.html ├── numpy.ndarray.__neg__.html ├── numpy.ndarray.__new__.html ├── numpy.ndarray.__nonzero__.html ├── numpy.ndarray.__oct__.html ├── numpy.ndarray.__or__.html ├── numpy.ndarray.__pos__.html ├── numpy.ndarray.__pow__.html ├── numpy.ndarray.__reduce__.html ├── numpy.ndarray.__repr__.html ├── numpy.ndarray.__rshift__.html ├── numpy.ndarray.__setitem__.html ├── numpy.ndarray.__setstate__.html ├── numpy.ndarray.__str__.html ├── numpy.ndarray.__sub__.html ├── numpy.ndarray.__truediv__.html ├── numpy.ndarray.__xor__.html ├── numpy.ndarray.all.html ├── numpy.ndarray.any.html ├── numpy.ndarray.argmax.html ├── numpy.ndarray.argmin.html ├── numpy.ndarray.argpartition.html ├── numpy.ndarray.argsort.html ├── numpy.ndarray.astype.html ├── numpy.ndarray.base.html ├── numpy.ndarray.byteswap.html ├── numpy.ndarray.choose.html ├── numpy.ndarray.clip.html ├── numpy.ndarray.compress.html ├── numpy.ndarray.conj.html ├── numpy.ndarray.conjugate.html ├── numpy.ndarray.copy.html ├── numpy.ndarray.ctypes.html ├── numpy.ndarray.cumprod.html ├── numpy.ndarray.cumsum.html ├── numpy.ndarray.data.html ├── numpy.ndarray.diagonal.html ├── numpy.ndarray.dot.html ├── numpy.ndarray.dtype.html ├── numpy.ndarray.dump.html ├── numpy.ndarray.dumps.html ├── numpy.ndarray.fill.html ├── numpy.ndarray.flags.html ├── numpy.ndarray.flat.html ├── numpy.ndarray.flatten.html ├── numpy.ndarray.getfield.html ├── numpy.ndarray.html ├── numpy.ndarray.imag.html ├── numpy.ndarray.item.html ├── numpy.ndarray.itemset.html ├── numpy.ndarray.itemsize.html ├── numpy.ndarray.max.html ├── numpy.ndarray.mean.html ├── numpy.ndarray.min.html ├── numpy.ndarray.nbytes.html ├── numpy.ndarray.ndim.html ├── numpy.ndarray.newbyteorder.html ├── numpy.ndarray.nonzero.html ├── numpy.ndarray.partition.html ├── numpy.ndarray.prod.html ├── numpy.ndarray.ptp.html ├── numpy.ndarray.put.html ├── numpy.ndarray.ravel.html ├── numpy.ndarray.real.html ├── numpy.ndarray.repeat.html ├── numpy.ndarray.reshape.html ├── numpy.ndarray.resize.html ├── numpy.ndarray.round.html ├── numpy.ndarray.searchsorted.html ├── numpy.ndarray.setfield.html ├── numpy.ndarray.setflags.html ├── numpy.ndarray.shape.html ├── numpy.ndarray.size.html ├── numpy.ndarray.sort.html ├── numpy.ndarray.squeeze.html ├── numpy.ndarray.std.html ├── numpy.ndarray.strides.html ├── numpy.ndarray.sum.html ├── numpy.ndarray.swapaxes.html ├── numpy.ndarray.take.html ├── numpy.ndarray.tobytes.html ├── numpy.ndarray.tofile.html ├── numpy.ndarray.tolist.html ├── numpy.ndarray.tostring.html ├── numpy.ndarray.trace.html ├── numpy.ndarray.transpose.html ├── numpy.ndarray.var.html ├── numpy.ndarray.view.html ├── numpy.ndenumerate.html ├── numpy.ndenumerate.next.html ├── numpy.ndindex.html ├── numpy.ndindex.ndincr.html ├── numpy.ndindex.next.html ├── numpy.nditer.copy.html ├── numpy.nditer.debug_print.html ├── numpy.nditer.enable_external_loop.html ├── numpy.nditer.html ├── numpy.nditer.iternext.html ├── numpy.nditer.next.html ├── numpy.nditer.remove_axis.html ├── numpy.nditer.remove_multi_index.html ├── numpy.nditer.reset.html ├── numpy.negative.html ├── numpy.newbuffer.html ├── numpy.nonzero.html ├── numpy.not_equal.html ├── numpy.nper.html ├── numpy.npv.html ├── numpy.obj2sctype.html ├── numpy.ogrid.html ├── numpy.ones.html ├── numpy.ones_like.html ├── numpy.outer.html ├── numpy.packbits.html ├── numpy.pad.html ├── numpy.partition.html ├── numpy.percentile.html ├── numpy.piecewise.html ├── numpy.place.html ├── numpy.pmt.html ├── numpy.poly.html ├── numpy.poly1d.__call__.html ├── numpy.poly1d.deriv.html ├── numpy.poly1d.html ├── numpy.poly1d.integ.html ├── numpy.polyadd.html ├── numpy.polyder.html ├── numpy.polydiv.html ├── numpy.polyfit.html ├── numpy.polyint.html ├── numpy.polymul.html ├── numpy.polynomial.chebyshev.Chebyshev.__call__.html ├── numpy.polynomial.chebyshev.Chebyshev.basis.html ├── numpy.polynomial.chebyshev.Chebyshev.cast.html ├── numpy.polynomial.chebyshev.Chebyshev.convert.html ├── numpy.polynomial.chebyshev.Chebyshev.copy.html ├── numpy.polynomial.chebyshev.Chebyshev.cutdeg.html ├── numpy.polynomial.chebyshev.Chebyshev.degree.html ├── numpy.polynomial.chebyshev.Chebyshev.deriv.html ├── numpy.polynomial.chebyshev.Chebyshev.fit.html ├── numpy.polynomial.chebyshev.Chebyshev.fromroots.html ├── numpy.polynomial.chebyshev.Chebyshev.has_samecoef.html ├── numpy.polynomial.chebyshev.Chebyshev.has_samedomain.html ├── numpy.polynomial.chebyshev.Chebyshev.has_sametype.html ├── numpy.polynomial.chebyshev.Chebyshev.has_samewindow.html ├── numpy.polynomial.chebyshev.Chebyshev.html ├── numpy.polynomial.chebyshev.Chebyshev.identity.html ├── numpy.polynomial.chebyshev.Chebyshev.integ.html ├── numpy.polynomial.chebyshev.Chebyshev.linspace.html ├── numpy.polynomial.chebyshev.Chebyshev.mapparms.html ├── numpy.polynomial.chebyshev.Chebyshev.roots.html ├── numpy.polynomial.chebyshev.Chebyshev.trim.html ├── numpy.polynomial.chebyshev.Chebyshev.truncate.html ├── numpy.polynomial.chebyshev.cheb2poly.html ├── numpy.polynomial.chebyshev.chebadd.html ├── numpy.polynomial.chebyshev.chebcompanion.html ├── numpy.polynomial.chebyshev.chebder.html ├── numpy.polynomial.chebyshev.chebdiv.html ├── numpy.polynomial.chebyshev.chebdomain.html ├── numpy.polynomial.chebyshev.chebfit.html ├── numpy.polynomial.chebyshev.chebfromroots.html ├── numpy.polynomial.chebyshev.chebgauss.html ├── numpy.polynomial.chebyshev.chebgrid2d.html ├── numpy.polynomial.chebyshev.chebgrid3d.html ├── numpy.polynomial.chebyshev.chebint.html ├── numpy.polynomial.chebyshev.chebline.html ├── numpy.polynomial.chebyshev.chebmul.html ├── numpy.polynomial.chebyshev.chebmulx.html ├── numpy.polynomial.chebyshev.chebone.html ├── numpy.polynomial.chebyshev.chebpow.html ├── numpy.polynomial.chebyshev.chebroots.html ├── numpy.polynomial.chebyshev.chebsub.html ├── numpy.polynomial.chebyshev.chebtrim.html ├── numpy.polynomial.chebyshev.chebval.html ├── numpy.polynomial.chebyshev.chebval2d.html ├── numpy.polynomial.chebyshev.chebval3d.html ├── numpy.polynomial.chebyshev.chebvander.html ├── numpy.polynomial.chebyshev.chebvander2d.html ├── numpy.polynomial.chebyshev.chebvander3d.html ├── numpy.polynomial.chebyshev.chebweight.html ├── numpy.polynomial.chebyshev.chebx.html ├── numpy.polynomial.chebyshev.chebzero.html ├── numpy.polynomial.chebyshev.poly2cheb.html ├── numpy.polynomial.hermite.Hermite.__call__.html ├── numpy.polynomial.hermite.Hermite.basis.html ├── numpy.polynomial.hermite.Hermite.cast.html ├── numpy.polynomial.hermite.Hermite.convert.html ├── numpy.polynomial.hermite.Hermite.copy.html ├── numpy.polynomial.hermite.Hermite.cutdeg.html ├── numpy.polynomial.hermite.Hermite.degree.html ├── numpy.polynomial.hermite.Hermite.deriv.html ├── numpy.polynomial.hermite.Hermite.fit.html ├── numpy.polynomial.hermite.Hermite.fromroots.html ├── numpy.polynomial.hermite.Hermite.has_samecoef.html ├── numpy.polynomial.hermite.Hermite.has_samedomain.html ├── numpy.polynomial.hermite.Hermite.has_sametype.html ├── numpy.polynomial.hermite.Hermite.has_samewindow.html ├── numpy.polynomial.hermite.Hermite.html ├── numpy.polynomial.hermite.Hermite.identity.html ├── numpy.polynomial.hermite.Hermite.integ.html ├── numpy.polynomial.hermite.Hermite.linspace.html ├── numpy.polynomial.hermite.Hermite.mapparms.html ├── numpy.polynomial.hermite.Hermite.roots.html ├── numpy.polynomial.hermite.Hermite.trim.html ├── numpy.polynomial.hermite.Hermite.truncate.html ├── numpy.polynomial.hermite.herm2poly.html ├── numpy.polynomial.hermite.hermadd.html ├── numpy.polynomial.hermite.hermcompanion.html ├── numpy.polynomial.hermite.hermder.html ├── numpy.polynomial.hermite.hermdiv.html ├── numpy.polynomial.hermite.hermdomain.html ├── numpy.polynomial.hermite.hermfit.html ├── numpy.polynomial.hermite.hermfromroots.html ├── numpy.polynomial.hermite.hermgauss.html ├── numpy.polynomial.hermite.hermgrid2d.html ├── numpy.polynomial.hermite.hermgrid3d.html ├── numpy.polynomial.hermite.hermint.html ├── numpy.polynomial.hermite.hermline.html ├── numpy.polynomial.hermite.hermmul.html ├── numpy.polynomial.hermite.hermmulx.html ├── numpy.polynomial.hermite.hermone.html ├── numpy.polynomial.hermite.hermpow.html ├── numpy.polynomial.hermite.hermroots.html ├── numpy.polynomial.hermite.hermsub.html ├── numpy.polynomial.hermite.hermtrim.html ├── numpy.polynomial.hermite.hermval.html ├── numpy.polynomial.hermite.hermval2d.html ├── numpy.polynomial.hermite.hermval3d.html ├── numpy.polynomial.hermite.hermvander.html ├── numpy.polynomial.hermite.hermvander2d.html ├── numpy.polynomial.hermite.hermvander3d.html ├── numpy.polynomial.hermite.hermweight.html ├── numpy.polynomial.hermite.hermx.html ├── numpy.polynomial.hermite.hermzero.html ├── numpy.polynomial.hermite.poly2herm.html ├── numpy.polynomial.hermite_e.HermiteE.__call__.html ├── numpy.polynomial.hermite_e.HermiteE.basis.html ├── numpy.polynomial.hermite_e.HermiteE.cast.html ├── numpy.polynomial.hermite_e.HermiteE.convert.html ├── numpy.polynomial.hermite_e.HermiteE.copy.html ├── numpy.polynomial.hermite_e.HermiteE.cutdeg.html ├── numpy.polynomial.hermite_e.HermiteE.degree.html ├── numpy.polynomial.hermite_e.HermiteE.deriv.html ├── numpy.polynomial.hermite_e.HermiteE.fit.html ├── numpy.polynomial.hermite_e.HermiteE.fromroots.html ├── numpy.polynomial.hermite_e.HermiteE.has_samecoef.html ├── numpy.polynomial.hermite_e.HermiteE.has_samedomain.html ├── numpy.polynomial.hermite_e.HermiteE.has_sametype.html ├── numpy.polynomial.hermite_e.HermiteE.has_samewindow.html ├── numpy.polynomial.hermite_e.HermiteE.html ├── numpy.polynomial.hermite_e.HermiteE.identity.html ├── numpy.polynomial.hermite_e.HermiteE.integ.html ├── numpy.polynomial.hermite_e.HermiteE.linspace.html ├── numpy.polynomial.hermite_e.HermiteE.mapparms.html ├── numpy.polynomial.hermite_e.HermiteE.roots.html ├── numpy.polynomial.hermite_e.HermiteE.trim.html ├── numpy.polynomial.hermite_e.HermiteE.truncate.html ├── numpy.polynomial.hermite_e.herme2poly.html ├── numpy.polynomial.hermite_e.hermeadd.html ├── numpy.polynomial.hermite_e.hermecompanion.html ├── numpy.polynomial.hermite_e.hermeder.html ├── numpy.polynomial.hermite_e.hermediv.html ├── numpy.polynomial.hermite_e.hermedomain.html ├── numpy.polynomial.hermite_e.hermefit.html ├── numpy.polynomial.hermite_e.hermefromroots.html ├── numpy.polynomial.hermite_e.hermegauss.html ├── numpy.polynomial.hermite_e.hermegrid2d.html ├── numpy.polynomial.hermite_e.hermegrid3d.html ├── numpy.polynomial.hermite_e.hermeint.html ├── numpy.polynomial.hermite_e.hermeline.html ├── numpy.polynomial.hermite_e.hermemul.html ├── numpy.polynomial.hermite_e.hermemulx.html ├── numpy.polynomial.hermite_e.hermeone.html ├── numpy.polynomial.hermite_e.hermepow.html ├── numpy.polynomial.hermite_e.hermeroots.html ├── numpy.polynomial.hermite_e.hermesub.html ├── numpy.polynomial.hermite_e.hermetrim.html ├── numpy.polynomial.hermite_e.hermeval.html ├── numpy.polynomial.hermite_e.hermeval2d.html ├── numpy.polynomial.hermite_e.hermeval3d.html ├── numpy.polynomial.hermite_e.hermevander.html ├── numpy.polynomial.hermite_e.hermevander2d.html ├── numpy.polynomial.hermite_e.hermevander3d.html ├── numpy.polynomial.hermite_e.hermeweight.html ├── numpy.polynomial.hermite_e.hermex.html ├── numpy.polynomial.hermite_e.hermezero.html ├── numpy.polynomial.hermite_e.poly2herme.html ├── numpy.polynomial.laguerre.Laguerre.__call__.html ├── numpy.polynomial.laguerre.Laguerre.basis.html ├── numpy.polynomial.laguerre.Laguerre.cast.html ├── numpy.polynomial.laguerre.Laguerre.convert.html ├── numpy.polynomial.laguerre.Laguerre.copy.html ├── numpy.polynomial.laguerre.Laguerre.cutdeg.html ├── numpy.polynomial.laguerre.Laguerre.degree.html ├── numpy.polynomial.laguerre.Laguerre.deriv.html ├── numpy.polynomial.laguerre.Laguerre.fit.html ├── numpy.polynomial.laguerre.Laguerre.fromroots.html ├── numpy.polynomial.laguerre.Laguerre.has_samecoef.html ├── numpy.polynomial.laguerre.Laguerre.has_samedomain.html ├── numpy.polynomial.laguerre.Laguerre.has_sametype.html ├── numpy.polynomial.laguerre.Laguerre.has_samewindow.html ├── numpy.polynomial.laguerre.Laguerre.html ├── numpy.polynomial.laguerre.Laguerre.identity.html ├── numpy.polynomial.laguerre.Laguerre.integ.html ├── numpy.polynomial.laguerre.Laguerre.linspace.html ├── numpy.polynomial.laguerre.Laguerre.mapparms.html ├── numpy.polynomial.laguerre.Laguerre.roots.html ├── numpy.polynomial.laguerre.Laguerre.trim.html ├── numpy.polynomial.laguerre.Laguerre.truncate.html ├── numpy.polynomial.laguerre.lag2poly.html ├── numpy.polynomial.laguerre.lagadd.html ├── numpy.polynomial.laguerre.lagcompanion.html ├── numpy.polynomial.laguerre.lagder.html ├── numpy.polynomial.laguerre.lagdiv.html ├── numpy.polynomial.laguerre.lagdomain.html ├── numpy.polynomial.laguerre.lagfit.html ├── numpy.polynomial.laguerre.lagfromroots.html ├── numpy.polynomial.laguerre.laggauss.html ├── numpy.polynomial.laguerre.laggrid2d.html ├── numpy.polynomial.laguerre.laggrid3d.html ├── numpy.polynomial.laguerre.lagint.html ├── numpy.polynomial.laguerre.lagline.html ├── numpy.polynomial.laguerre.lagmul.html ├── numpy.polynomial.laguerre.lagmulx.html ├── numpy.polynomial.laguerre.lagone.html ├── numpy.polynomial.laguerre.lagpow.html ├── numpy.polynomial.laguerre.lagroots.html ├── numpy.polynomial.laguerre.lagsub.html ├── numpy.polynomial.laguerre.lagtrim.html ├── numpy.polynomial.laguerre.lagval.html ├── numpy.polynomial.laguerre.lagval2d.html ├── numpy.polynomial.laguerre.lagval3d.html ├── numpy.polynomial.laguerre.lagvander.html ├── numpy.polynomial.laguerre.lagvander2d.html ├── numpy.polynomial.laguerre.lagvander3d.html ├── numpy.polynomial.laguerre.lagweight.html ├── numpy.polynomial.laguerre.lagx.html ├── numpy.polynomial.laguerre.lagzero.html ├── numpy.polynomial.laguerre.poly2lag.html ├── numpy.polynomial.legendre.Legendre.__call__.html ├── numpy.polynomial.legendre.Legendre.basis.html ├── numpy.polynomial.legendre.Legendre.cast.html ├── numpy.polynomial.legendre.Legendre.convert.html ├── numpy.polynomial.legendre.Legendre.copy.html ├── numpy.polynomial.legendre.Legendre.cutdeg.html ├── numpy.polynomial.legendre.Legendre.degree.html ├── numpy.polynomial.legendre.Legendre.deriv.html ├── numpy.polynomial.legendre.Legendre.fit.html ├── numpy.polynomial.legendre.Legendre.fromroots.html ├── numpy.polynomial.legendre.Legendre.has_samecoef.html ├── numpy.polynomial.legendre.Legendre.has_samedomain.html ├── numpy.polynomial.legendre.Legendre.has_sametype.html ├── numpy.polynomial.legendre.Legendre.has_samewindow.html ├── numpy.polynomial.legendre.Legendre.html ├── numpy.polynomial.legendre.Legendre.identity.html ├── numpy.polynomial.legendre.Legendre.integ.html ├── numpy.polynomial.legendre.Legendre.linspace.html ├── numpy.polynomial.legendre.Legendre.mapparms.html ├── numpy.polynomial.legendre.Legendre.roots.html ├── numpy.polynomial.legendre.Legendre.trim.html ├── numpy.polynomial.legendre.Legendre.truncate.html ├── numpy.polynomial.legendre.leg2poly.html ├── numpy.polynomial.legendre.legadd.html ├── numpy.polynomial.legendre.legcompanion.html ├── numpy.polynomial.legendre.legder.html ├── numpy.polynomial.legendre.legdiv.html ├── numpy.polynomial.legendre.legdomain.html ├── numpy.polynomial.legendre.legfit.html ├── numpy.polynomial.legendre.legfromroots.html ├── numpy.polynomial.legendre.leggauss.html ├── numpy.polynomial.legendre.leggrid2d.html ├── numpy.polynomial.legendre.leggrid3d.html ├── numpy.polynomial.legendre.legint.html ├── numpy.polynomial.legendre.legline.html ├── numpy.polynomial.legendre.legmul.html ├── numpy.polynomial.legendre.legmulx.html ├── numpy.polynomial.legendre.legone.html ├── numpy.polynomial.legendre.legpow.html ├── numpy.polynomial.legendre.legroots.html ├── numpy.polynomial.legendre.legsub.html ├── numpy.polynomial.legendre.legtrim.html ├── numpy.polynomial.legendre.legval.html ├── numpy.polynomial.legendre.legval2d.html ├── numpy.polynomial.legendre.legval3d.html ├── numpy.polynomial.legendre.legvander.html ├── numpy.polynomial.legendre.legvander2d.html ├── numpy.polynomial.legendre.legvander3d.html ├── numpy.polynomial.legendre.legweight.html ├── numpy.polynomial.legendre.legx.html ├── numpy.polynomial.legendre.legzero.html ├── numpy.polynomial.legendre.poly2leg.html ├── numpy.polynomial.polynomial.Polynomial.__call__.html ├── numpy.polynomial.polynomial.Polynomial.basis.html ├── numpy.polynomial.polynomial.Polynomial.cast.html ├── numpy.polynomial.polynomial.Polynomial.convert.html ├── numpy.polynomial.polynomial.Polynomial.copy.html ├── numpy.polynomial.polynomial.Polynomial.cutdeg.html ├── numpy.polynomial.polynomial.Polynomial.degree.html ├── numpy.polynomial.polynomial.Polynomial.deriv.html ├── numpy.polynomial.polynomial.Polynomial.fit.html ├── numpy.polynomial.polynomial.Polynomial.fromroots.html ├── numpy.polynomial.polynomial.Polynomial.has_samecoef.html ├── numpy.polynomial.polynomial.Polynomial.has_samedomain.html ├── numpy.polynomial.polynomial.Polynomial.has_sametype.html ├── numpy.polynomial.polynomial.Polynomial.has_samewindow.html ├── numpy.polynomial.polynomial.Polynomial.html ├── numpy.polynomial.polynomial.Polynomial.identity.html ├── numpy.polynomial.polynomial.Polynomial.integ.html ├── numpy.polynomial.polynomial.Polynomial.linspace.html ├── numpy.polynomial.polynomial.Polynomial.mapparms.html ├── numpy.polynomial.polynomial.Polynomial.roots.html ├── numpy.polynomial.polynomial.Polynomial.trim.html ├── numpy.polynomial.polynomial.Polynomial.truncate.html ├── numpy.polynomial.polynomial.polyadd.html ├── numpy.polynomial.polynomial.polycompanion.html ├── numpy.polynomial.polynomial.polyder.html ├── numpy.polynomial.polynomial.polydiv.html ├── numpy.polynomial.polynomial.polydomain.html ├── numpy.polynomial.polynomial.polyfit.html ├── numpy.polynomial.polynomial.polyfromroots.html ├── numpy.polynomial.polynomial.polygrid2d.html ├── numpy.polynomial.polynomial.polygrid3d.html ├── numpy.polynomial.polynomial.polyint.html ├── numpy.polynomial.polynomial.polyline.html ├── numpy.polynomial.polynomial.polymul.html ├── numpy.polynomial.polynomial.polymulx.html ├── numpy.polynomial.polynomial.polyone.html ├── numpy.polynomial.polynomial.polypow.html ├── numpy.polynomial.polynomial.polyroots.html ├── numpy.polynomial.polynomial.polysub.html ├── numpy.polynomial.polynomial.polytrim.html ├── numpy.polynomial.polynomial.polyval.html ├── numpy.polynomial.polynomial.polyval2d.html ├── numpy.polynomial.polynomial.polyval3d.html ├── numpy.polynomial.polynomial.polyvander.html ├── numpy.polynomial.polynomial.polyvander2d.html ├── numpy.polynomial.polynomial.polyvander3d.html ├── numpy.polynomial.polynomial.polyx.html ├── numpy.polynomial.polynomial.polyzero.html ├── numpy.polysub.html ├── numpy.polyval.html ├── numpy.power.html ├── numpy.ppmt.html ├── numpy.prod.html ├── numpy.promote_types.html ├── numpy.ptp.html ├── numpy.put.html ├── numpy.putmask.html ├── numpy.pv.html ├── numpy.r_.html ├── numpy.rad2deg.html ├── numpy.radians.html ├── numpy.random.RandomState.beta.html ├── numpy.random.RandomState.binomial.html ├── numpy.random.RandomState.bytes.html ├── numpy.random.RandomState.chisquare.html ├── numpy.random.RandomState.choice.html ├── numpy.random.RandomState.dirichlet.html ├── numpy.random.RandomState.exponential.html ├── numpy.random.RandomState.f.html ├── numpy.random.RandomState.gamma.html ├── numpy.random.RandomState.geometric.html ├── numpy.random.RandomState.get_state.html ├── numpy.random.RandomState.gumbel.html ├── numpy.random.RandomState.html ├── numpy.random.RandomState.hypergeometric.html ├── numpy.random.RandomState.laplace.html ├── numpy.random.RandomState.logistic.html ├── numpy.random.RandomState.lognormal.html ├── numpy.random.RandomState.logseries.html ├── numpy.random.RandomState.multinomial.html ├── numpy.random.RandomState.multivariate_normal.html ├── numpy.random.RandomState.negative_binomial.html ├── numpy.random.RandomState.noncentral_chisquare.html ├── numpy.random.RandomState.noncentral_f.html ├── numpy.random.RandomState.normal.html ├── numpy.random.RandomState.pareto.html ├── numpy.random.RandomState.permutation.html ├── numpy.random.RandomState.poisson.html ├── numpy.random.RandomState.power.html ├── numpy.random.RandomState.rand.html ├── numpy.random.RandomState.randint.html ├── numpy.random.RandomState.randn.html ├── numpy.random.RandomState.random_integers.html ├── numpy.random.RandomState.random_sample.html ├── numpy.random.RandomState.rayleigh.html ├── numpy.random.RandomState.seed.html ├── numpy.random.RandomState.set_state.html ├── numpy.random.RandomState.shuffle.html ├── numpy.random.RandomState.standard_cauchy.html ├── numpy.random.RandomState.standard_exponential.html ├── numpy.random.RandomState.standard_gamma.html ├── numpy.random.RandomState.standard_normal.html ├── numpy.random.RandomState.standard_t.html ├── numpy.random.RandomState.tomaxint.html ├── numpy.random.RandomState.triangular.html ├── numpy.random.RandomState.uniform.html ├── numpy.random.RandomState.vonmises.html ├── numpy.random.RandomState.wald.html ├── numpy.random.RandomState.weibull.html ├── numpy.random.RandomState.zipf.html ├── numpy.random.beta.html ├── numpy.random.binomial.html ├── numpy.random.bytes.html ├── numpy.random.chisquare.html ├── numpy.random.choice.html ├── numpy.random.dirichlet.html ├── numpy.random.exponential.html ├── numpy.random.f.html ├── numpy.random.gamma.html ├── numpy.random.geometric.html ├── numpy.random.get_state.html ├── numpy.random.gumbel.html ├── numpy.random.hypergeometric.html ├── numpy.random.laplace.html ├── numpy.random.logistic.html ├── numpy.random.lognormal.html ├── numpy.random.logseries.html ├── numpy.random.multinomial.html ├── numpy.random.multivariate_normal.html ├── numpy.random.negative_binomial.html ├── numpy.random.noncentral_chisquare.html ├── numpy.random.noncentral_f.html ├── numpy.random.normal.html ├── numpy.random.pareto.html ├── numpy.random.permutation.html ├── numpy.random.poisson.html ├── numpy.random.power.html ├── numpy.random.rand.html ├── numpy.random.randint.html ├── numpy.random.randn.html ├── numpy.random.random.html ├── numpy.random.random_integers.html ├── numpy.random.random_sample.html ├── numpy.random.ranf.html ├── numpy.random.rayleigh.html ├── numpy.random.sample.html ├── numpy.random.seed.html ├── numpy.random.set_state.html ├── numpy.random.shuffle.html ├── numpy.random.standard_cauchy.html ├── numpy.random.standard_exponential.html ├── numpy.random.standard_gamma.html ├── numpy.random.standard_normal.html ├── numpy.random.standard_t.html ├── numpy.random.triangular.html ├── numpy.random.uniform.html ├── numpy.random.vonmises.html ├── numpy.random.wald.html ├── numpy.random.weibull.html ├── numpy.random.zipf.html ├── numpy.rate.html ├── numpy.ravel.html ├── numpy.ravel_multi_index.html ├── numpy.real.html ├── numpy.real_if_close.html ├── numpy.recarray.T.html ├── numpy.recarray.all.html ├── numpy.recarray.any.html ├── numpy.recarray.argmax.html ├── numpy.recarray.argmin.html ├── numpy.recarray.argpartition.html ├── numpy.recarray.argsort.html ├── numpy.recarray.astype.html ├── numpy.recarray.base.html ├── numpy.recarray.byteswap.html ├── numpy.recarray.choose.html ├── numpy.recarray.clip.html ├── numpy.recarray.compress.html ├── numpy.recarray.conj.html ├── numpy.recarray.conjugate.html ├── numpy.recarray.copy.html ├── numpy.recarray.ctypes.html ├── numpy.recarray.cumprod.html ├── numpy.recarray.cumsum.html ├── numpy.recarray.data.html ├── numpy.recarray.diagonal.html ├── numpy.recarray.dot.html ├── numpy.recarray.dtype.html ├── numpy.recarray.dump.html ├── numpy.recarray.dumps.html ├── numpy.recarray.field.html ├── numpy.recarray.fill.html ├── numpy.recarray.flags.html ├── numpy.recarray.flat.html ├── numpy.recarray.flatten.html ├── numpy.recarray.getfield.html ├── numpy.recarray.html ├── numpy.recarray.imag.html ├── numpy.recarray.item.html ├── numpy.recarray.itemset.html ├── numpy.recarray.itemsize.html ├── numpy.recarray.max.html ├── numpy.recarray.mean.html ├── numpy.recarray.min.html ├── numpy.recarray.nbytes.html ├── numpy.recarray.ndim.html ├── numpy.recarray.newbyteorder.html ├── numpy.recarray.nonzero.html ├── numpy.recarray.partition.html ├── numpy.recarray.prod.html ├── numpy.recarray.ptp.html ├── numpy.recarray.put.html ├── numpy.recarray.ravel.html ├── numpy.recarray.real.html ├── numpy.recarray.repeat.html ├── numpy.recarray.reshape.html ├── numpy.recarray.resize.html ├── numpy.recarray.round.html ├── numpy.recarray.searchsorted.html ├── numpy.recarray.setfield.html ├── numpy.recarray.setflags.html ├── numpy.recarray.shape.html ├── numpy.recarray.size.html ├── numpy.recarray.sort.html ├── numpy.recarray.squeeze.html ├── numpy.recarray.std.html ├── numpy.recarray.strides.html ├── numpy.recarray.sum.html ├── numpy.recarray.swapaxes.html ├── numpy.recarray.take.html ├── numpy.recarray.tobytes.html ├── numpy.recarray.tofile.html ├── numpy.recarray.tolist.html ├── numpy.recarray.tostring.html ├── numpy.recarray.trace.html ├── numpy.recarray.transpose.html ├── numpy.recarray.var.html ├── numpy.recarray.view.html ├── numpy.reciprocal.html ├── numpy.record.T.html ├── numpy.record.all.html ├── numpy.record.any.html ├── numpy.record.argmax.html ├── numpy.record.argmin.html ├── numpy.record.argsort.html ├── numpy.record.astype.html ├── numpy.record.base.html ├── numpy.record.byteswap.html ├── numpy.record.choose.html ├── numpy.record.clip.html ├── numpy.record.compress.html ├── numpy.record.conj.html ├── numpy.record.conjugate.html ├── numpy.record.copy.html ├── numpy.record.cumprod.html ├── numpy.record.cumsum.html ├── numpy.record.data.html ├── numpy.record.diagonal.html ├── numpy.record.dtype.html ├── numpy.record.dump.html ├── numpy.record.dumps.html ├── numpy.record.fill.html ├── numpy.record.flags.html ├── numpy.record.flat.html ├── numpy.record.flatten.html ├── numpy.record.getfield.html ├── numpy.record.html ├── numpy.record.imag.html ├── numpy.record.item.html ├── numpy.record.itemset.html ├── numpy.record.itemsize.html ├── numpy.record.max.html ├── numpy.record.mean.html ├── numpy.record.min.html ├── numpy.record.nbytes.html ├── numpy.record.ndim.html ├── numpy.record.newbyteorder.html ├── numpy.record.nonzero.html ├── numpy.record.pprint.html ├── numpy.record.prod.html ├── numpy.record.ptp.html ├── numpy.record.put.html ├── numpy.record.ravel.html ├── numpy.record.real.html ├── numpy.record.repeat.html ├── numpy.record.reshape.html ├── numpy.record.resize.html ├── numpy.record.round.html ├── numpy.record.searchsorted.html ├── numpy.record.setfield.html ├── numpy.record.setflags.html ├── numpy.record.shape.html ├── numpy.record.size.html ├── numpy.record.sort.html ├── numpy.record.squeeze.html ├── numpy.record.std.html ├── numpy.record.strides.html ├── numpy.record.sum.html ├── numpy.record.swapaxes.html ├── numpy.record.take.html ├── numpy.record.tobytes.html ├── numpy.record.tofile.html ├── numpy.record.tolist.html ├── numpy.record.tostring.html ├── numpy.record.trace.html ├── numpy.record.transpose.html ├── numpy.record.var.html ├── numpy.record.view.html ├── numpy.remainder.html ├── numpy.repeat.html ├── numpy.require.html ├── numpy.reshape.html ├── numpy.resize.html ├── numpy.restoredot.html ├── numpy.result_type.html ├── numpy.right_shift.html ├── numpy.rint.html ├── numpy.roll.html ├── numpy.rollaxis.html ├── numpy.roots.html ├── numpy.rot90.html ├── numpy.round_.html ├── numpy.s_.html ├── numpy.save.html ├── numpy.savetxt.html ├── numpy.savez.html ├── numpy.savez_compressed.html ├── numpy.sctype2char.html ├── numpy.searchsorted.html ├── numpy.select.html ├── numpy.set_printoptions.html ├── numpy.set_string_function.html ├── numpy.setbufsize.html ├── numpy.setdiff1d.html ├── numpy.seterr.html ├── numpy.seterrcall.html ├── numpy.seterrobj.html ├── numpy.setxor1d.html ├── numpy.shares_memory.html ├── numpy.sign.html ├── numpy.signbit.html ├── numpy.sin.html ├── numpy.sinc.html ├── numpy.sinh.html ├── numpy.sort.html ├── numpy.sort_complex.html ├── numpy.source.html ├── numpy.split.html ├── numpy.sqrt.html ├── numpy.square.html ├── numpy.squeeze.html ├── numpy.stack.html ├── numpy.std.html ├── numpy.subtract.html ├── numpy.sum.html ├── numpy.swapaxes.html ├── numpy.take.html ├── numpy.tan.html ├── numpy.tanh.html ├── numpy.tensordot.html ├── numpy.testing.Tester.html ├── numpy.testing.assert_allclose.html ├── numpy.testing.assert_almost_equal.html ├── numpy.testing.assert_approx_equal.html ├── numpy.testing.assert_array_almost_equal.html ├── numpy.testing.assert_array_almost_equal_nulp.html ├── numpy.testing.assert_array_equal.html ├── numpy.testing.assert_array_less.html ├── numpy.testing.assert_array_max_ulp.html ├── numpy.testing.assert_equal.html ├── numpy.testing.assert_raises.html ├── numpy.testing.assert_raises_regex.html ├── numpy.testing.assert_string_equal.html ├── numpy.testing.assert_warns.html ├── numpy.testing.decorate_methods.html ├── numpy.testing.decorators.deprecated.html ├── numpy.testing.decorators.knownfailureif.html ├── numpy.testing.decorators.setastest.html ├── numpy.testing.decorators.skipif.html ├── numpy.testing.decorators.slow.html ├── numpy.testing.run_module_suite.html ├── numpy.testing.rundocs.html ├── numpy.tile.html ├── numpy.trace.html ├── numpy.transpose.html ├── numpy.trapz.html ├── numpy.tri.html ├── numpy.tril.html ├── numpy.tril_indices.html ├── numpy.tril_indices_from.html ├── numpy.trim_zeros.html ├── numpy.triu.html ├── numpy.triu_indices.html ├── numpy.triu_indices_from.html ├── numpy.true_divide.html ├── numpy.trunc.html ├── numpy.typename.html ├── numpy.ufunc.accumulate.html ├── numpy.ufunc.at.html ├── numpy.ufunc.identity.html ├── numpy.ufunc.nargs.html ├── numpy.ufunc.nin.html ├── numpy.ufunc.nout.html ├── numpy.ufunc.ntypes.html ├── numpy.ufunc.outer.html ├── numpy.ufunc.reduce.html ├── numpy.ufunc.reduceat.html ├── numpy.ufunc.types.html ├── numpy.union1d.html ├── numpy.unique.html ├── numpy.unpackbits.html ├── numpy.unravel_index.html ├── numpy.unwrap.html ├── numpy.vander.html ├── numpy.var.html ├── numpy.vdot.html ├── numpy.vectorize.__call__.html ├── numpy.vectorize.html ├── numpy.vsplit.html ├── numpy.vstack.html ├── numpy.where.html ├── numpy.zeros.html └── numpy.zeros_like.html ├── index.html ├── internals.code-explanations.html ├── internals.html ├── maskedarray.baseclass.html ├── maskedarray.generic.html ├── maskedarray.html ├── routines.array-creation.html ├── routines.array-manipulation.html ├── routines.bitwise.html ├── routines.char.html ├── routines.ctypeslib.html ├── routines.datetime.html ├── routines.dtype.html ├── routines.dual.html ├── routines.emath.html ├── routines.err.html ├── routines.fft.html ├── routines.financial.html ├── routines.functional.html ├── routines.help.html ├── routines.html ├── routines.indexing.html ├── routines.io.html ├── routines.linalg.html ├── routines.logic.html ├── routines.ma.html ├── routines.math.html ├── routines.matlib.html ├── routines.other.html ├── routines.padding.html ├── routines.polynomials.chebyshev.html ├── routines.polynomials.classes.html ├── routines.polynomials.hermite.html ├── routines.polynomials.hermite_e.html ├── routines.polynomials.html ├── routines.polynomials.laguerre.html ├── routines.polynomials.legendre.html ├── routines.polynomials.package.html ├── routines.polynomials.poly1d.html ├── routines.polynomials.polynomial.html ├── routines.random.html ├── routines.set.html ├── routines.sort.html ├── routines.statistics.html ├── routines.testing.html ├── routines.window.html ├── swig.html ├── swig.interface-file.html ├── swig.testing.html └── ufuncs.html /CNAME: -------------------------------------------------------------------------------- 1 | numpy.apachecn.org -------------------------------------------------------------------------------- /generated/numpy.broadcast.next.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.broadcast.next

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校对：（虚位以待）

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broadcast.next
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numpy.busdaycalendar.holidays

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原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.busdaycalendar.holidays.html

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译者：飞龙 UsyiyiCN

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busdaycalendar.holidays
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假日数组的副本，表示额外的无效天数。

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numpy.busdaycalendar.weekmask

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指示有效天数的七元素布尔掩码的副本。

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numpy.chararray.data

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chararray.data
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Python缓冲区对象指向数组的数据的开始。

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numpy.core.defchararray.chararray.data

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chararray.data
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Python缓冲区对象指向数组的数据的开始。

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numpy.distutils.cpuinfo.cpu

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numpy.distutils.cpuinfo.cpu = <numpy.distutils.cpuinfo.LinuxCPUInfo object>
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numpy.distutils.log.set_verbosity

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numpy.distutils.log.set_verbosity(v, force=False)[source]
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numpy.distutils.misc_util.blue_text

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译者：飞龙 UsyiyiCN

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校对：（虚位以待）

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numpy.distutils.misc_util.blue_text(s)[source]
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numpy.distutils.misc_util.cyan_text

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原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.distutils.misc_util.cyan_text.html

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校对：（虚位以待）

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numpy.distutils.misc_util.cyan_text(s)[source]
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numpy.distutils.misc_util.cyg2win32

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译者：飞龙 UsyiyiCN

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numpy.distutils.misc_util.cyg2win32(path)[source]
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numpy.distutils.misc_util.dot_join

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numpy.distutils.misc_util.dot_join(*args)[source]
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numpy.distutils.misc_util.get_cmd

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原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.distutils.misc_util.get_cmd.html

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numpy.distutils.misc_util.get_cmd(cmdname, _cache={})[source]
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numpy.distutils.misc_util.green_text

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原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.distutils.misc_util.green_text.html

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numpy.distutils.misc_util.green_text(s)[source]
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numpy.distutils.misc_util.red_text

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原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.distutils.misc_util.red_text.html

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numpy.distutils.misc_util.red_text(s)[source]
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numpy.distutils.misc_util.yellow_text

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原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.distutils.misc_util.yellow_text.html

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numpy.distutils.misc_util.yellow_text(s)[source]
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numpy.dtype.__reduce__

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dtype.__reduce__()
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numpy.dtype.__setstate__

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dtype.__setstate__()
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numpy.dtype.alignment

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dtype.alignment
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根据编译器，此数据类型所需的对齐（字节）。

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有关详细信息，请参阅本手册的C-API部分。

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numpy.dtype.base

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dtype.base
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numpy.dtype.char

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dtype.char
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21种不同内置类型中的每一种的唯一字符代码。

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numpy.dtype.descr

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dtype.descr
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数组类型的数组接口完全描述。

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该格式是__ array_interface __属性中的“descr”键所需的格式。

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numpy.dtype.hasobject

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原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.dtype.hasobject.html

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dtype.hasobject
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布尔值，指示此dtype是否在任何字段或子类型中包含任何引用计数的对象。

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回忆一下，在代表Python对象的ndarray存储器中实际是该对象的存储器地址（指针）。可能需要特殊处理，并且此属性可用于区分可能包含任意Python对象的数据类型和不包含的对象的数据类型。

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numpy.dtype.isalignedstruct

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原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.dtype.isalignedstruct.html

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布尔值，表示dtype是否为保持字段对齐的结构体。这个标志是粘性的，因此当将多个结构组合在一起时，它被保留并产生也对齐的新的类型。

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numpy.dtype.isnative

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原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.dtype.isnative.html

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校对：（虚位以待）

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dtype.isnative
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布尔值，指示此dtype的字节顺序是否为平台本地的。

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numpy.dtype.itemsize

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原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.dtype.itemsize.html

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译者：飞龙 UsyiyiCN

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校对：（虚位以待）

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dtype.itemsize
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此数据类型对象的元素大小。

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对于21种类型中的18种，该数字由数据类型固定。对于灵活的数据类型，这个数字可以是任何东西。

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numpy.dtype.metadata

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原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.dtype.metadata.html

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译者：飞龙 UsyiyiCN

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校对：（虚位以待）

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numpy.dtype.name

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译者：飞龙 UsyiyiCN

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校对：（虚位以待）

7 |
8 | 9 |
10 |
dtype.name
11 |

此数据类型的位宽名称。

12 |

未调整大小的灵活数据类型对象没有此属性。

13 |
14 | -------------------------------------------------------------------------------- /generated/numpy.dtype.num.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.dtype.num

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.dtype.num.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
dtype.num
11 |

21种不同内置类型中的每一种的唯一编号。

12 |

这些大致从最小到最大精度排序。

13 |
14 | -------------------------------------------------------------------------------- /generated/numpy.dtype.shape.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.dtype.shape

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.dtype.shape.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
dtype.shape
11 |

如果此数据类型描述子数组，则子数组的形状元组，否则为()。

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.dtype.str.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.dtype.str

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.dtype.str.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
dtype.str
11 |

此数据类型对象的数组协议typestring。

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.dtype.type.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.dtype.type

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.dtype.type.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
dtype.type
11 |

用于实例化此数据类型的标量的类型对象。

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.flatiter.next.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.flatiter.next

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.flatiter.next.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
flatiter.next
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.generic.T.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.generic.T

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.generic.T.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
generic.T
11 |

转置

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.generic.__array__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.generic.__array__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.generic.__array__.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
generic.__array__()
11 |

sc .__ array __（| type）return 0-dim数组

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.generic.__array_interface__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.generic.__array_interface__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.generic.__array_interface__.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
generic.__array_interface__
11 |

数组协议：Python端

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.generic.__array_priority__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.generic.__array_priority__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.generic.__array_priority__.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
generic.__array_priority__
11 |

数组优先级。

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.generic.__array_struct__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.generic.__array_struct__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.generic.__array_struct__.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
generic.__array_struct__
11 |

数组协议：struct

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.generic.__array_wrap__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.generic.__array_wrap__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.generic.__array_wrap__.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
generic.__array_wrap__()
11 |

sc .__ array_wrap __（obj）返回数组的标量

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.generic.__reduce__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.generic.__reduce__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.generic.__reduce__.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

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8 | 9 |
10 |
generic.__reduce__()
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.generic.__setstate__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.generic.__setstate__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.generic.__setstate__.html

5 |

译者：飞龙 UsyiyiCN

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校对：（虚位以待）

7 |
8 | 9 |
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generic.__setstate__()
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.generic.base.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.generic.base

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.generic.base.html

5 |

译者：飞龙 UsyiyiCN

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校对：（虚位以待）

7 |
8 | 9 |
10 |
generic.base
11 |

基础对象

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.generic.conj.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.generic.conj

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.generic.conj.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
generic.conj()
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.generic.data.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.generic.data

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.generic.data.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
generic.data
11 |

指向数据开始的指针

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.generic.dtype.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.generic.dtype

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.generic.dtype.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
generic.dtype
11 |

获取数组数据描述符

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.generic.flags.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.generic.flags

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.generic.flags.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
generic.flags
11 |

标志的整数值

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.generic.flat.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.generic.flat

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.generic.flat.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
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generic.flat
11 |

标量的1-d视图

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.generic.imag.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.generic.imag

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.generic.imag.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
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generic.imag
11 |

标量的虚部

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.generic.itemsize.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.generic.itemsize

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.generic.itemsize.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
generic.itemsize
11 |

一个元素的长度（以字节为单位）

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.generic.nbytes.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.generic.nbytes

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.generic.nbytes.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
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generic.nbytes
11 |

项目的长度（以字节为单位）

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.generic.ndim.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.generic.ndim

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.generic.ndim.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
generic.ndim
11 |

数组维数

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.generic.real.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.generic.real

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.generic.real.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
generic.real
11 |

实数部分

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.generic.shape.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.generic.shape

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.generic.shape.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
generic.shape
11 |

数组维度的元组

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.generic.size.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.generic.size

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.generic.size.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
generic.size
11 |

gentype中的元素数

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.generic.strides.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.generic.strides

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.generic.strides.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
generic.strides
11 |

每个维度中的字节步长

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.generic.tobytes.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.generic.tobytes

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.generic.tobytes.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

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8 | 9 |
10 |
generic.tobytes()
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.iinfo.max.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.iinfo.max

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.iinfo.max.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
iinfo.max
11 |

给定dtype的最大值。

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.iinfo.min.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.iinfo.min

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.iinfo.min.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
iinfo.min
11 |

给定dtype的最小值。

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskType.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskType

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskType.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
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numpy.ma.MaskType[source]
11 |

bool_的别名

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.T.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.T

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.T.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
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MaskedArray.T
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__abs__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__abs__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__abs__.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
MaskedArray.__abs__() <==> abs(x)
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__add__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__add__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__add__.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
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MaskedArray.__add__(other)[source]
11 |

将self添加到其他，并返回一个新的蒙版数组。

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__and__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__and__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__and__.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
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MaskedArray.__and__
11 |

x。和__（y）x＆y

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__array__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__array__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__array__.html

5 |

译者：飞龙 UsyiyiCN

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校对：（虚位以待）

7 |
8 | 9 |
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MaskedArray.__array__(|dtype) → reference if type unchanged, copy otherwise.
11 |

如果未指定dtype，则返回对self的新引用，如果dtype与数组的当前dtype不同，则返回提供的数据类型的新数组。

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__array_priority__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__array_priority__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__array_priority__.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

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8 | 9 |
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MaskedArray.__array_priority__ = 15
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__contains__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__contains__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__contains__.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
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MaskedArray.__contains__
11 |

x .__在x中包含__（y）y

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__deepcopy__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__deepcopy__

3 |
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原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__deepcopy__.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
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MaskedArray.__deepcopy__(memo=None)[source]
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__delitem__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__delitem__

3 |
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原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__delitem__.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
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MaskedArray.__delitem__
11 |

x .__ delitem __（y）del x [y]

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__div__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__div__

3 |
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原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__div__.html

5 |

译者：飞龙 UsyiyiCN

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校对：（虚位以待）

7 |
8 | 9 |
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MaskedArray.__div__(other)[source]
11 |

将其他划分为self，并返回一个新的屏蔽数组。

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__divmod__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__divmod__

3 |
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原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__divmod__.html

5 |

译者：飞龙 UsyiyiCN

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校对：（虚位以待）

7 |
8 | 9 |
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MaskedArray.__divmod__(y) <==> divmod(x, y)
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__eq__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__eq__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__eq__.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
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MaskedArray.__eq__(other)[source]
11 |

检查其他是否等于自我元素。

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__float__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__float__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__float__.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
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MaskedArray.__float__()[source]
11 |

转换为浮动。

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__ge__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__ge__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__ge__.html

5 |

译者：飞龙 UsyiyiCN

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校对：（虚位以待）

7 |
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MaskedArray.__ge__
11 |

x ._ge__（y）x> = y

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__gt__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__gt__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__gt__.html

5 |

译者：飞龙 UsyiyiCN

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校对：（虚位以待）

7 |
8 | 9 |
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MaskedArray.__gt__
11 |

x .__ gt__（y）x> y

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__hex__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__hex__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__hex__.html

5 |

译者：飞龙 UsyiyiCN

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校对：（虚位以待）

7 |
8 | 9 |
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MaskedArray.__hex__() <==> hex(x)
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__iadd__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__iadd__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__iadd__.html

5 |

译者：飞龙 UsyiyiCN

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校对：（虚位以待）

7 |
8 | 9 |
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MaskedArray.__iadd__(other)[source]
11 |

添加其他到自己就地。

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__iand__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__iand__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__iand__.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
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MaskedArray.__iand__
11 |

x .__ iand __（y）x＆= y

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__idiv__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__idiv__

3 |
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原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__idiv__.html

5 |

译者：飞龙 UsyiyiCN

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校对：（虚位以待）

7 |
8 | 9 |
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MaskedArray.__idiv__(other)[source]
11 |

将自己与其他地方分开。

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__ilshift__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__ilshift__

3 |
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原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__ilshift__.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
MaskedArray.__ilshift__
11 |

x .__ ilshift __（y）x

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__imod__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__imod__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__imod__.html

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译者：飞龙 UsyiyiCN

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校对：（虚位以待）

7 |
8 | 9 |
10 |
MaskedArray.__imod__
11 |

x。_ imod __（y）x％= y

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__imul__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__imul__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__imul__.html

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译者：飞龙 UsyiyiCN

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校对：（虚位以待）

7 |
8 | 9 |
10 |
MaskedArray.__imul__(other)[source]
11 |

通过其他就地乘法自我。

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__int__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__int__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__int__.html

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译者：飞龙 UsyiyiCN

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校对：（虚位以待）

7 |
8 | 9 |
10 |
MaskedArray.__int__()[source]
11 |

转换为int。

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__ior__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__ior__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__ior__.html

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译者：飞龙 UsyiyiCN

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校对：（虚位以待）

7 |
8 | 9 |
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MaskedArray.__ior__
11 |

x .__ ior __（y）x | = y

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__ipow__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__ipow__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__ipow__.html

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译者：飞龙 UsyiyiCN

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校对：（虚位以待）

7 |
8 | 9 |
10 |
MaskedArray.__ipow__(other)[source]
11 |

提高自己到力量其他，到位。

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__irshift__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__irshift__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__irshift__.html

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译者：飞龙 UsyiyiCN

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校对：（虚位以待）

7 |
8 | 9 |
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MaskedArray.__irshift__
11 |

x .__ irshift __（y）x >> = y

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__isub__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__isub__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__isub__.html

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译者：飞龙 UsyiyiCN

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校对：（虚位以待）

7 |
8 | 9 |
10 |
MaskedArray.__isub__(other)[source]
11 |

从其他位置自行扣除。

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__ixor__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__ixor__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__ixor__.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
MaskedArray.__ixor__
11 |

x。_ ixor __（y）x ^ = y

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__le__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__le__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__le__.html

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译者：飞龙 UsyiyiCN

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校对：（虚位以待）

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8 | 9 |
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MaskedArray.__le__
11 |

x。_ le __（y）x

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__len__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__len__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__len__.html

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译者：飞龙 UsyiyiCN

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校对：（虚位以待）

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8 | 9 |
10 |
MaskedArray.__len__() <==> len(x)
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__long__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__long__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__long__.html

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译者：飞龙 UsyiyiCN

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校对：（虚位以待）

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10 |
MaskedArray.__long__() <==> long(x)
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__lshift__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__lshift__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__lshift__.html

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译者：飞龙 UsyiyiCN

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校对：（虚位以待）

7 |
8 | 9 |
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MaskedArray.__lshift__
11 |

x .__ lshift __（y）x

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__lt__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__lt__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__lt__.html

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译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
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MaskedArray.__lt__
11 |

x.__lt__(y) <==> x

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__mod__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__mod__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__mod__.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
MaskedArray.__mod__
11 |

x .__ mod __（y）x％y

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__mul__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__mul__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__mul__.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
MaskedArray.__mul__(other)[source]
11 |

乘以其他，并返回一个新的蒙版数组。

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__ne__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__ne__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__ne__.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
MaskedArray.__ne__(other)[source]
11 |

检查其他不等于自我元素

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__nonzero__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__nonzero__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__nonzero__.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
MaskedArray.__nonzero__
11 |

x .__ nonzero __()x！= 0

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__oct__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__oct__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__oct__.html

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译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
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MaskedArray.__oct__() <==> oct(x)
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__or__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__or__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__or__.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
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MaskedArray.__or__
11 |

x .__或__（y）x | y

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__pow__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__pow__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__pow__.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
MaskedArray.__pow__(other)[source]
11 |

提高自我对权力其他，掩蔽潜力NaNs / Infs

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__radd__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__radd__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__radd__.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
MaskedArray.__radd__(other)[source]
11 |

将其他添加到self，并返回一个新的蒙版数组。

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__rand__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__rand__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__rand__.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
MaskedArray.__rand__
11 |

x。_ rand __（y）y＆x

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__rdiv__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__rdiv__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__rdiv__.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
MaskedArray.__rdiv__
11 |

点¯x.__ RDIV __（Y）Y / X

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__rdivmod__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__rdivmod__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__rdivmod__.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

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8 | 9 |
10 |
MaskedArray.__rdivmod__(y) <==> divmod(y, x)
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__reduce__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__reduce__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__reduce__.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
MaskedArray.__reduce__()[source]
11 |

返回用于酸洗MaskedArray的3元组。

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__repr__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__repr__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__repr__.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
MaskedArray.__repr__()[source]
11 |

文字字符串表示。

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__rlshift__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__rlshift__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__rlshift__.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
MaskedArray.__rlshift__
11 |

x .__ rlshift __（y）y

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__rmod__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__rmod__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__rmod__.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
MaskedArray.__rmod__
11 |

x .__ rmod __（y）y％x

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__rmul__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__rmul__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__rmul__.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
MaskedArray.__rmul__(other)[source]
11 |

通过self乘其他，并返回一个新的蒙版数组。

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__ror__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__ror__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__ror__.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
MaskedArray.__ror__
11 |

x .__ ror __（y）y | x

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__rpow__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__rpow__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__rpow__.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
MaskedArray.__rpow__(other)[source]
11 |

提高其他的力量自我，掩蔽潜力NaNs / Infs

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__rrshift__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__rrshift__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__rrshift__.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
MaskedArray.__rrshift__
11 |

x .__ rrshift __（y）y >> x

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__rshift__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__rshift__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__rshift__.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
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MaskedArray.__rshift__
11 |

x .__ rshift__（y）x >> y

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__rsub__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__rsub__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__rsub__.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
MaskedArray.__rsub__(other)[source]
11 |

从其他中减去self，并返回一个新的蒙版数组。

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__rxor__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__rxor__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__rxor__.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
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MaskedArray.__rxor__
11 |

x。_ rxor __（y）y ^ x

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__str__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__str__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__str__.html

5 |

译者：飞龙 UsyiyiCN

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校对：（虚位以待）

7 |
8 | 9 |
10 |
MaskedArray.__str__()[source]
11 |

字符串表示。

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__sub__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__sub__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__sub__.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
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MaskedArray.__sub__(other)[source]
11 |

从self中减去其他，并返回一个新的蒙版数组。

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.__xor__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.__xor__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.__xor__.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
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MaskedArray.__xor__
11 |

x .__ xor __（y）x ^ y

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.data.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.data

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.data.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
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MaskedArray.data
11 |

返回当前数据，作为原始基础数据的视图。

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.fill_value.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.fill_value

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.fill_value.html

5 |

译者：飞龙 UsyiyiCN

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校对：（虚位以待）

7 |
8 | 9 |
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MaskedArray.fill_value
11 |

灌装值。

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.flat.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.flat

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.flat.html

5 |

译者：飞龙 UsyiyiCN

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校对：（虚位以待）

7 |
8 | 9 |
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MaskedArray.flat
11 |

数组的平版本。

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.imag.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.imag

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.imag.html

5 |

译者：飞龙 UsyiyiCN

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校对：（虚位以待）

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8 | 9 |
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MaskedArray.imag
11 |

虚构部分。

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.mask.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.mask

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.mask.html

5 |

译者：飞龙 UsyiyiCN

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校对：（虚位以待）

7 |
8 | 9 |
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MaskedArray.mask
11 |

面具

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.real.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.real

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.real.html

5 |

译者：飞龙 UsyiyiCN

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校对：（虚位以待）

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8 | 9 |
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MaskedArray.real
11 |

实体部分

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.recordmask.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.recordmask

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.recordmask.html

5 |

译者：飞龙 UsyiyiCN

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校对：（虚位以待）

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8 | 9 |
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MaskedArray.recordmask
11 |

返回记录的掩码。

12 |

当所有字段都被屏蔽时，记录被屏蔽。

13 |
14 | -------------------------------------------------------------------------------- /generated/numpy.ma.MaskedArray.take.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.MaskedArray.take

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.MaskedArray.take.html

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译者：飞龙 UsyiyiCN

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校对：（虚位以待）

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MaskedArray.take(indices, axis=None, out=None, mode='raise')[source]
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.ma.masked_array.mask.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ma.masked_array.mask

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ma.masked_array.mask.html

5 |

译者：飞龙 UsyiyiCN

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校对：（虚位以待）

7 |
8 | 9 |
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masked_array.mask
11 |

面具

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ma.outer.html: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/apachecn/numpy-doc-zh/122b4cca9612dc9bb685daf1858ff076ae643fa2/generated/numpy.ma.outer.html -------------------------------------------------------------------------------- /generated/numpy.matrix.data.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.matrix.data

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matrix.data
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numpy.ndarray.__abs__

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ndarray.__abs__() <==> abs(x)
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numpy.ndarray.__add__

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numpy.ndarray.__and__

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x。和__（y）x＆y

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numpy.ndarray.__array__

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ndarray.__array__(|dtype) → reference if type unchanged, copy otherwise.
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numpy.ndarray.__array_wrap__

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ndarray.__array_wrap__(obj) → Object of same type as ndarray object a.
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numpy.ndarray.__contains__

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ndarray.__deepcopy__() → Deep copy of array.
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numpy.ndarray.__div__

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x .__ div __（y）x / y

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numpy.ndarray.__divmod__

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ndarray.__divmod__(y) <==> divmod(x, y)
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numpy.ndarray.__eq__

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x .__ eq __（y）x == y

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numpy.ndarray.__float__

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ndarray.__float__() <==> float(x)
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numpy.ndarray.__floordiv__

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x .__ floordiv __（y）x // y

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numpy.ndarray.__ge__

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numpy.ndarray.__getitem__

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x .__ getitem __（y）x [y]

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numpy.ndarray.__gt__

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x .__ gt__（y）x> y

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numpy.ndarray.__hex__

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ndarray.__hex__() <==> hex(x)
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numpy.ndarray.__iadd__

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x .__ iadd __（y）x + = y

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numpy.ndarray.__iand__

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x .__ iand __（y）x＆= y

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numpy.ndarray.__idiv__

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x。_ idiv __（y）x / = y

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numpy.ndarray.__ifloordiv__

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x ._ ifloordiv __（y）x // = y

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numpy.ndarray.__ilshift__

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x .__ ilshift __（y）x

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numpy.ndarray.__imod__

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x。_ imod __（y）x％= y

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numpy.ndarray.__imul__

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x .__ imul __（y）x * = y

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numpy.ndarray.__int__

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ndarray.__int__() <==> int(x)
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numpy.ndarray.__invert__

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x .__反转__()〜x

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numpy.ndarray.__ior__

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x .__ ior __（y）x | = y

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numpy.ndarray.__ipow__

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x。_ ipow __（y）x ** = y

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numpy.ndarray.__irshift__

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x .__ irshift __（y）x >> = y

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numpy.ndarray.__isub__

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x .__ isub __（y）x- = y

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numpy.ndarray.__itruediv__

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x .__ itruediv __（y）x / = y

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numpy.ndarray.__ixor__

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ndarray.__ixor__
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x。_ ixor __（y）x ^ = y

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numpy.ndarray.__le__

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ndarray.__le__
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x。_ le __（y）x

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numpy.ndarray.__len__

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ndarray.__len__() <==> len(x)
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numpy.ndarray.__long__

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ndarray.__long__() <==> long(x)
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numpy.ndarray.__lshift__

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x .__ lshift __（y）x

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numpy.ndarray.__lt__

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numpy.ndarray.__mod__

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x .__ mod __（y）x％y

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numpy.ndarray.__mul__

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x。_ mul __（y）x * y

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numpy.ndarray.__ne__

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x .__ ne __（y）x！= y

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numpy.ndarray.__neg__

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ndarray.__neg__
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x .__ neg __()-x

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numpy.ndarray.__new__

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ndarray.__new__(S, ...) → a new object with type S, a subtype of T
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numpy.ndarray.__nonzero__

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x .__ nonzero __()x！= 0

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numpy.ndarray.__oct__

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ndarray.__oct__() <==> oct(x)
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numpy.ndarray.__or__

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ndarray.__or__
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x .__或__（y）x | y

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numpy.ndarray.__pos__

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x .__ pos __()+ x

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numpy.ndarray.__pow__

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numpy.ndarray.__reduce__

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ndarray.__reduce__()
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酸洗。

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numpy.ndarray.__repr__

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numpy.ndarray.__rshift__

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x .__ rshift__（y）x >> y

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numpy.ndarray.__setitem__

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x .__ setitem __（i，y）x [i] = y

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numpy.ndarray.__str__

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原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ndarray.__str__.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
ndarray.__str__() <==> str(x)
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.ndarray.__sub__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ndarray.__sub__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ndarray.__sub__.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
ndarray.__sub__
11 |

x .__ sub __（y）x-y

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ndarray.__truediv__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ndarray.__truediv__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ndarray.__truediv__.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
ndarray.__truediv__
11 |

x。_ truediv __（y）x / y

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ndarray.__xor__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ndarray.__xor__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ndarray.__xor__.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
ndarray.__xor__
11 |

x .__ xor __（y）x ^ y

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ndarray.data.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ndarray.data

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ndarray.data.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
ndarray.data
11 |

Python缓冲区对象指向数组的数据的开始。

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.ndindex.ndincr.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.ndindex.ndincr

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.ndindex.ndincr.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
ndindex.ndincr()[source]
11 |

将多维索引增加1。

12 |

此方法仅用于向后兼容：不使用。

13 |
14 | -------------------------------------------------------------------------------- /generated/numpy.nditer.debug_print.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.nditer.debug_print

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.nditer.debug_print.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
nditer.debug_print()
11 |

打印nditer实例的当前状态并将调试信息输出到stdout。

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.nditer.enable_external_loop.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.nditer.enable_external_loop

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.nditer.enable_external_loop.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
nditer.enable_external_loop()
11 |

当在构造期间没有使用“external_loop”时，这是修改迭代器的行为，如同指定了标志。

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.nditer.next.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.nditer.next

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.nditer.next.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
nditer.next
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.nditer.remove_axis.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.nditer.remove_axis

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.nditer.remove_axis.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
nditer.remove_axis(i)
11 |

从迭代器中删除轴i。需要启用标志“multi_index”。

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.nditer.remove_multi_index.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.nditer.remove_multi_index

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.nditer.remove_multi_index.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
nditer.remove_multi_index()
11 |

当指定“multi_index”标志时，这将删除它，允许内部迭代结构进一步优化。

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.nditer.reset.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.nditer.reset

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.nditer.reset.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
nditer.reset()
11 |

将迭代器重置为其初始状态。

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.poly1d.__call__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.poly1d.__call__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.poly1d.__call__.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
poly1d.__call__(val)[source]
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.polynomial.chebyshev.chebdomain.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.polynomial.chebyshev.chebdomain

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.polynomial.chebyshev.chebdomain.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
numpy.polynomial.chebyshev.chebdomain = array([-1, 1])
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.polynomial.chebyshev.chebone.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.polynomial.chebyshev.chebone

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.polynomial.chebyshev.chebone.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
numpy.polynomial.chebyshev.chebone = array([1])
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.polynomial.chebyshev.chebx.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.polynomial.chebyshev.chebx

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.polynomial.chebyshev.chebx.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
numpy.polynomial.chebyshev.chebx = array([0, 1])
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.polynomial.chebyshev.chebzero.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.polynomial.chebyshev.chebzero

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.polynomial.chebyshev.chebzero.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
numpy.polynomial.chebyshev.chebzero = array([0])
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.polynomial.hermite.Hermite.__call__.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.polynomial.hermite.Hermite.__call__

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.polynomial.hermite.Hermite.__call__.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
Hermite.__call__(arg)[source]
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.polynomial.hermite.hermdomain.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.polynomial.hermite.hermdomain

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.polynomial.hermite.hermdomain.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
numpy.polynomial.hermite.hermdomain = array([-1, 1])
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.polynomial.hermite.hermone.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.polynomial.hermite.hermone

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.polynomial.hermite.hermone.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
numpy.polynomial.hermite.hermone = array([1])
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.polynomial.hermite.hermx.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.polynomial.hermite.hermx

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.polynomial.hermite.hermx.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
numpy.polynomial.hermite.hermx = array([ 0. , 0.5])
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.polynomial.hermite.hermzero.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.polynomial.hermite.hermzero

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.polynomial.hermite.hermzero.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
numpy.polynomial.hermite.hermzero = array([0])
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.polynomial.hermite_e.hermedomain.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.polynomial.hermite_e.hermedomain

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.polynomial.hermite_e.hermedomain.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
numpy.polynomial.hermite_e.hermedomain = array([-1, 1])
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.polynomial.hermite_e.hermeone.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.polynomial.hermite_e.hermeone

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.polynomial.hermite_e.hermeone.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
numpy.polynomial.hermite_e.hermeone = array([1])
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.polynomial.hermite_e.hermex.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.polynomial.hermite_e.hermex

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.polynomial.hermite_e.hermex.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
numpy.polynomial.hermite_e.hermex = array([0, 1])
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.polynomial.hermite_e.hermezero.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.polynomial.hermite_e.hermezero

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.polynomial.hermite_e.hermezero.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
numpy.polynomial.hermite_e.hermezero = array([0])
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.polynomial.laguerre.lagdomain.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.polynomial.laguerre.lagdomain

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.polynomial.laguerre.lagdomain.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
numpy.polynomial.laguerre.lagdomain = array([0, 1])
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.polynomial.laguerre.lagone.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.polynomial.laguerre.lagone

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.polynomial.laguerre.lagone.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
numpy.polynomial.laguerre.lagone = array([1])
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.polynomial.laguerre.lagx.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.polynomial.laguerre.lagx

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.polynomial.laguerre.lagx.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
numpy.polynomial.laguerre.lagx = array([ 1, -1])
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.polynomial.laguerre.lagzero.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.polynomial.laguerre.lagzero

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.polynomial.laguerre.lagzero.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
numpy.polynomial.laguerre.lagzero = array([0])
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.polynomial.legendre.legdomain.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.polynomial.legendre.legdomain

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.polynomial.legendre.legdomain.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
numpy.polynomial.legendre.legdomain = array([-1, 1])
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.polynomial.legendre.legone.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.polynomial.legendre.legone

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.polynomial.legendre.legone.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
numpy.polynomial.legendre.legone = array([1])
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.polynomial.legendre.legx.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.polynomial.legendre.legx

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.polynomial.legendre.legx.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
numpy.polynomial.legendre.legx = array([0, 1])
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.polynomial.legendre.legzero.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.polynomial.legendre.legzero

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.polynomial.legendre.legzero.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
numpy.polynomial.legendre.legzero = array([0])
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.polynomial.polynomial.polydomain.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.polynomial.polynomial.polydomain

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.polynomial.polynomial.polydomain.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
numpy.polynomial.polynomial.polydomain = array([-1, 1])
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.polynomial.polynomial.polyone.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.polynomial.polynomial.polyone

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.polynomial.polynomial.polyone.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
numpy.polynomial.polynomial.polyone = array([1])
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.polynomial.polynomial.polyx.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.polynomial.polynomial.polyx

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.polynomial.polynomial.polyx.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
numpy.polynomial.polynomial.polyx = array([0, 1])
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.polynomial.polynomial.polyzero.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.polynomial.polynomial.polyzero

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.polynomial.polynomial.polyzero.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
numpy.polynomial.polynomial.polyzero = array([0])
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.recarray.data.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.recarray.data

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.recarray.data.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
recarray.data
11 |

Python缓冲区对象指向数组的数据的开始。

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.recarray.field.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.recarray.field

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.recarray.field.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
recarray.field(attr, val=None)[source]
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.record.T.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.record.T

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.record.T.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
record.T
11 |

转置

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.record.base.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.record.base

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.record.base.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
record.base
11 |

基础对象

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.record.conj.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.record.conj

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.record.conj.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
record.conj()
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.record.data.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.record.data

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.record.data.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
record.data
11 |

指向数据开始的指针

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.record.dtype.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.record.dtype

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.record.dtype.html

5 |

译者：飞龙 UsyiyiCN

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校对：（虚位以待）

7 |
8 | 9 |
10 |
record.dtype
11 |

dtype对象

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.record.flags.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.record.flags

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.record.flags.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
record.flags
11 |

标志的整数值

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.record.flat.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.record.flat

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.record.flat.html

5 |

译者：飞龙 UsyiyiCN

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校对：（虚位以待）

7 |
8 | 9 |
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record.flat
11 |

标量的1-d视图

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.record.getfield.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.record.getfield

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.record.getfield.html

5 |

译者：飞龙 UsyiyiCN

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校对：（虚位以待）

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record.getfield()
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.record.imag.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.record.imag

3 |
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原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.record.imag.html

5 |

译者：飞龙 UsyiyiCN

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校对：（虚位以待）

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8 | 9 |
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record.imag
11 |

标量的虚部

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.record.itemsize.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.record.itemsize

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.record.itemsize.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
record.itemsize
11 |

一个元素的长度（以字节为单位）

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.record.nbytes.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.record.nbytes

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.record.nbytes.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
record.nbytes
11 |

项目的长度（以字节为单位）

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.record.ndim.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.record.ndim

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.record.ndim.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
record.ndim
11 |

数组维数

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.record.pprint.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.record.pprint

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.record.pprint.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
record.pprint()[source]
11 |

美丽打印所有字段。

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.record.real.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.record.real

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.record.real.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
record.real
11 |

实数部分

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.record.setfield.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.record.setfield

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.record.setfield.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
record.setfield()
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.record.shape.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.record.shape

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.record.shape.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
record.shape
11 |

数组维度的元组

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.record.size.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.record.size

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.record.size.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
record.size
11 |

gentype中的元素数

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.record.strides.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.record.strides

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.record.strides.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
record.strides
11 |

每个维度中的字节步长

12 |
13 | -------------------------------------------------------------------------------- /generated/numpy.record.tobytes.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.record.tobytes

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.record.tobytes.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
record.tobytes()
11 |
12 | -------------------------------------------------------------------------------- /generated/numpy.testing.Tester.html: -------------------------------------------------------------------------------- 1 | 2 |

numpy.testing.Tester

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/generated/numpy.testing.Tester.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 |
10 |
numpy.testing.Tester[source]
11 |

NoseTester的别名

12 |
13 | -------------------------------------------------------------------------------- /routines.padding.html: -------------------------------------------------------------------------------- 1 | 2 |

Padding Arrays

3 |
4 |

原文：https://docs.scipy.org/doc/numpy/reference/routines.padding.html

5 |

译者：飞龙 UsyiyiCN

6 |

校对：（虚位以待）

7 |
8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 |
pad（array，pad_width，mode，\ * \ * kwargs）填充数组。
20 | --------------------------------------------------------------------------------