├── .gitignore ├── .vscode ├── launch.json └── settings.json ├── 23041808.024 ├── Border.py ├── ClipBorder.py ├── Contour.py ├── File.py ├── FnTime.py ├── HeadDesc.py ├── LICENSE ├── Legend.py ├── Main.py ├── Map.py ├── Micaps11Data.py ├── Micaps17Data.py ├── Micaps3Data.py ├── Micaps4Data.py ├── MicapsData.py ├── MicapsFile.py ├── MlabGridData.py ├── Picture.py ├── PolygonEx.py ├── Products.py ├── Projection.py ├── README.md ├── SampleData ├── 17011418.000 ├── 17032908.060 ├── 17033108.240 ├── 17033115.000 ├── 17041020.000 ├── 17041720.048 ├── data.txt ├── jxstation.txt └── readme.txt ├── Stations.py ├── Title.py ├── UV.py ├── _config.yml ├── borders ├── GA.txt ├── JA.txt ├── JD.txt ├── JJ.txt ├── JY.txt ├── LC.txt ├── NC.txt ├── PX.txt ├── SR.txt ├── XD.txt ├── YD.txt ├── YN.txt └── jxqy1.txt ├── config.xml ├── images ├── 1.png ├── 10.png ├── 11.png ├── 17032520.001.png ├── 2.png ├── 3.png ├── 4.png ├── 7.png ├── 9.png ├── debug.png ├── jz.png ├── lcc.png ├── readme.txt ├── sh.png ├── sh1.png ├── wx.png ├── xz.png └── zfb.png ├── jxlogo.png ├── lib ├── natgrid-0.2.1-cp37-cp37m-win_amd64.whl ├── nclcmaps-master.zip └── readme.txt ├── maskout.py └── shapefile ├── bou1_4p.dbf ├── bou1_4p.shp ├── bou1_4p.shx ├── bou2_4l.dbf ├── bou2_4l.shp ├── bou2_4l.shx ├── bou2_4p.dbf ├── bou2_4p.shp ├── bou2_4p.shx └── readme.txt /.gitignore: -------------------------------------------------------------------------------- 1 | # Byte-compiled / optimized / DLL files 2 | __pycache__/ 3 | *.py[cod] 4 | *$py.class 5 | 6 | # C extensions 7 | *.so 8 | 9 | # Distribution / packaging 10 | .Python 11 | env/ 12 | build/ 13 | develop-eggs/ 14 | dist/ 15 | downloads/ 16 | eggs/ 17 | .eggs/ 18 | lib/ 19 | lib64/ 20 | parts/ 21 | sdist/ 22 | var/ 23 | *.egg-info/ 24 | .installed.cfg 25 | *.egg 26 | 27 | # PyInstaller 28 | # Usually these files are written by a python script from a template 29 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 30 | *.manifest 31 | *.spec 32 | 33 | # Installer logs 34 | pip-log.txt 35 | pip-delete-this-directory.txt 36 | 37 | # Unit test / coverage reports 38 | htmlcov/ 39 | .tox/ 40 | .coverage 41 | .coverage.* 42 | .cache 43 | nosetests.xml 44 | coverage.xml 45 | *,cover 46 | .hypothesis/ 47 | 48 | # Translations 49 | *.mo 50 | *.pot 51 | 52 | # Django stuff: 53 | *.log 54 | local_settings.py 55 | 56 | # Flask stuff: 57 | instance/ 58 | .webassets-cache 59 | 60 | # Scrapy stuff: 61 | .scrapy 62 | 63 | # Sphinx documentation 64 | docs/_build/ 65 | 66 | # PyBuilder 67 | target/ 68 | 69 | # IPython Notebook 70 | .ipynb_checkpoints 71 | 72 | # pyenv 73 | .python-version 74 | 75 | # celery beat schedule file 76 | celerybeat-schedule 77 | 78 | # dotenv 79 | .env 80 | 81 | # virtualenv 82 | venv/ 83 | ENV/ 84 | 85 | # Spyder project settings 86 | .spyderproject 87 | 88 | # Rope project settings 89 | .ropeproject 90 | -------------------------------------------------------------------------------- /.vscode/launch.json: -------------------------------------------------------------------------------- 1 | { 2 | // 使用 IntelliSense 了解相关属性。 3 | // 悬停以查看现有属性的描述。 4 | // 欲了解更多信息，请访问: https://go.microsoft.com/fwlink/?linkid=830387 5 | "version": "0.2.0", 6 | "configurations": [ 7 | { 8 | "name": "Python: 当前文件", 9 | "type": "python", 10 | "request": "launch", 11 | "program": "${file}", 12 | "console": "integratedTerminal" 13 | } 14 | ] 15 | } -------------------------------------------------------------------------------- /.vscode/settings.json: -------------------------------------------------------------------------------- 1 | { 2 | "python.pythonPath": "D:\\Anaconda3\\python.exe" 3 | } -------------------------------------------------------------------------------- /Border.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | # 3 | # Author: Liu xianyao 4 | # Email: flashlxy@qq.com 5 | # Update: 2017-04-06 6 | # Copyright: ©江西省气象台 2017 7 | # Version: 1.1.20170409 8 | from __future__ import print_function 9 | import re 10 | from datetime import datetime 11 | from matplotlib.path import Path 12 | from ClipBorder import ClipBorder 13 | from Projection import Projection 14 | 15 | 16 | class Border: 17 | """ 18 | 标题描述类 19 | """ 20 | 21 | def __init__(self, leaf): 22 | self.file = Projection.leaf_to_string(leaf, "File") 23 | self.filetype = str.upper(Projection.leaf_to_string(leaf, "Type", "shp")) 24 | self.draw = Projection.leaf_to_bool(leaf, "Draw", False) 25 | self.encoding = Projection.leaf_to_string(leaf, "Encoding", "utf-8") 26 | self.path = ( 27 | ClipBorder.readPath(self.file, 0) if self.filetype != "SHP" else None 28 | ) 29 | self.polygon = str.upper(Projection.leaf_to_string(leaf, "Polygon", "on")) 30 | # self.draw = Projection.leaf_to_bool(leaf, "Draw", False) 31 | self.linewidth = Projection.leaf_to_float(leaf, "LineWidth", 1) 32 | self.linecolor = Projection.leaf_to_string(leaf, "LineColor", "k") 33 | 34 | @staticmethod 35 | def readPolygon(filename): 36 | """ 37 | 从特定格式的文件中获取path 38 | :param filename: 特定的数据文件全名 39 | :return: path对象的一个实例 40 | """ 41 | try: 42 | file_object = open(filename) 43 | all_the_text = file_object.read().strip() 44 | file_object.close() 45 | poses = re.split(r"[,]+|[\s]+", all_the_text) 46 | lon = [float(p) for p in poses[0::2]] 47 | lat = [float(p) for p in poses[1::2]] 48 | path = Path(zip(lon, lat)) 49 | return path 50 | except Exception as err: 51 | print("【{0}】{1}-{2}".format(filename, err, datetime.now())) 52 | return None 53 | -------------------------------------------------------------------------------- /ClipBorder.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | # 3 | # Author: Liu xianyao 4 | # Email: flashlxy@qq.com 5 | # Update: 2017-04-06 6 | # Copyright: ©江西省气象台 2017 7 | # Version: 1.1.20170409 8 | from __future__ import print_function 9 | 10 | from datetime import datetime 11 | 12 | from matplotlib.path import Path 13 | 14 | import maskout 15 | from Projection import Projection 16 | 17 | 18 | class ClipBorder: 19 | """ 20 | 边界裁切类 21 | """ 22 | 23 | def __init__(self, leaf): 24 | start_pos = 0 25 | filehead = Projection.leaf_to_string(leaf, "File") 26 | filetype = Projection.leaf_to_string(leaf, "Type", "shp") 27 | code = Projection.leaf_to_list(leaf, "Code", [360000]) 28 | drawswitch = str.upper(Projection.leaf_to_string(leaf, "Draw", "off")) 29 | self.encoding = Projection.leaf_to_string(leaf, "Encoding", "utf-8") 30 | self.path = self.getPath( 31 | filehead=filehead, 32 | code=code, 33 | filetype=filetype, 34 | start_pos=start_pos, 35 | encoding=self.encoding, 36 | ) 37 | self.draw = str.upper(Projection.leaf_to_string(leaf, "Draw", "off")) 38 | self.using = Projection.leaf_to_bool(leaf, "Using", True) 39 | self.linewidth = Projection.leaf_to_float(leaf, "LineWidth", 1) 40 | self.linecolor = ( 41 | Projection.leaf_to_string(leaf, "LineColor", "k") 42 | if drawswitch == "ON" 43 | else "none" 44 | ) 45 | 46 | @staticmethod 47 | def getPath(filehead, code, filetype, start_pos, encoding=None): 48 | """ 49 | 根据文件类型获取path对象 50 | :param start_pos: 正文开始的位置，对txt文件有效 51 | :param filehead: 文件名 52 | :param code: 闭合区域行政区号-对shp文件有效 53 | :param filetype: 文件类型 54 | :return: path对象的一个实例 55 | """ 56 | if encoding is None: 57 | encoding = "utf-8" 58 | if filetype == "shp": 59 | path = maskout.getPathFromShp(filehead, code, encoding=encoding) 60 | else: 61 | path = ClipBorder.readPath(filehead, start_pos) 62 | return path 63 | 64 | @staticmethod 65 | def readPath(filename, start_pos=13): 66 | """ 67 | 从类似第9类micaps数据中获取path 68 | :param start_pos: 69 | :param filename: 数据文件全名 70 | :return: path对象的一个实例 71 | """ 72 | try: 73 | file_object = open(filename) 74 | all_the_text = file_object.read() 75 | file_object.close() 76 | poses = all_the_text.strip().split() 77 | lon = [float(p) for p in poses[start_pos::2]] 78 | lat = [float(p) for p in poses[start_pos + 1 :: 2]] 79 | path = Path(zip(lon, lat)) 80 | return path 81 | except Exception as err: 82 | print("【{0}】{1}-{2}".format(filename, err, datetime.now())) 83 | return None 84 | -------------------------------------------------------------------------------- /Contour.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | # 3 | # Author: Liu xianyao 4 | # Email: flashlxy@qq.com 5 | # Update: 2017-04-06 6 | # Copyright: ©江西省气象台 2017 7 | # Version: 1.1.20170406 8 | from __future__ import print_function 9 | from Projection import Projection 10 | 11 | 12 | class Contour: 13 | def __init__(self, root): 14 | p = root.find("Contour") 15 | 16 | # 是否用彩色圆点标注格点或站点 17 | self.scatter = Projection.leaf_to_bool(p, "Scatter", False) 18 | # 圆点的透明度 19 | self.alpha = Projection.leaf_to_float(p, "Alpha", 1) 20 | # 圆点半径 default is 10 21 | self.radius = Projection.leaf_to_float(p, "Radius", 10) 22 | 23 | # 第三类数据等值线步长 24 | self.step = Projection.leaf_to_float(p, "Step", 2.0) 25 | 26 | # 经纬方向上的插值格点数 27 | self.grid = Projection.leaf_to_list(p, "Grid", [195, 216]) 28 | if len(self.grid) != 2: 29 | self.grid = [195, 216] 30 | else: 31 | self.grid = [int(str(g)) for g in self.grid] 32 | 33 | # 等值线参数 34 | contourleaf = p.find("Contour") 35 | if contourleaf is None: 36 | self.contour = { 37 | "visible": False, 38 | "linewidth": 1.0, 39 | "linecolor": "k", 40 | "colorline": False, 41 | } 42 | else: 43 | self.contour = { 44 | "visible": Projection.leaf_to_bool( 45 | contourleaf, "Visible", False, "TRUE" 46 | ), 47 | "linewidth": Projection.leaf_to_float(contourleaf, "LineWidth", 1.0), 48 | "linecolor": Projection.leaf_to_string(contourleaf, "LineColor", "k"), 49 | "colorline": Projection.leaf_to_bool( 50 | contourleaf, "ColorLine", False, "TRUE" 51 | ), 52 | } 53 | 54 | # 是否显示色斑图 55 | self.contourfvisible = Projection.leaf_to_bool( 56 | p, "ContourfVisible", False, "TRUE" 57 | ) 58 | 59 | # 等值线标注参数 60 | leaf = p.find("ContourLabel") 61 | if leaf is None: 62 | self.contourlabel = { 63 | "visible": False, 64 | "fmt": "%1.0f", 65 | "fontsize": 12, 66 | "fontcolor": "k", 67 | "inlinespacing": 2, 68 | } 69 | else: 70 | self.contourlabel = { 71 | "visible": Projection.leaf_to_bool(leaf, "Visible", False, "TRUE"), 72 | "fmt": Projection.leaf_to_string(leaf, "Fmt", "%1.0f"), 73 | "fontsize": Projection.leaf_to_float(leaf, "FontSize", 12), 74 | "fontcolor": Projection.leaf_to_string(leaf, "FontColor", "k"), 75 | "inlinespacing": Projection.leaf_to_float(leaf, "InlineSpacing", 2), 76 | } 77 | -------------------------------------------------------------------------------- /File.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | # 3 | # Author: Liu xianyao 4 | # Email: flashlxy@qq.com 5 | # Update: 2017-04-06 6 | # Copyright: ©江西省气象台 2017 7 | # Version: 1.1.20170406 8 | from __future__ import print_function 9 | from Micaps11Data import Micaps11Data 10 | from Micaps3Data import Micaps3Data 11 | from Micaps4Data import Micaps4Data 12 | from Projection import Projection 13 | 14 | 15 | class File: 16 | def __init__(self, root): 17 | leaf = root.find("File") 18 | if leaf is None: 19 | return 20 | self.type = Projection.leaf_to_string(leaf, "Type", "M4") 21 | self.filename = Projection.leaf_to_string(leaf, "FileName", "M4") 22 | if self.type == "M4": 23 | self.micapsdata = Micaps4Data(self.filename) 24 | elif self.type == "M3": 25 | self.micapsdata = Micaps3Data(self.filename) 26 | elif self.type == "M11": 27 | self.micapsdata = Micaps11Data(self.filename) 28 | else: 29 | return 30 | -------------------------------------------------------------------------------- /FnTime.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | """ 3 | ------------------------------------------------- 4 | File Name： FnTime 5 | Description : 6 | Author : Xianyao Liu 7 | date： 2019/3/16 8 | ------------------------------------------------- 9 | Change Activity: 10 | 2019/3/16 11 | ------------------------------------------------- 12 | """ 13 | import time 14 | from functools import wraps 15 | 16 | __author__ = 'Xianyao Liu' 17 | 18 | 19 | def fn_timer(func): 20 | @wraps(func) 21 | def function_timer(*args, **kwargs): 22 | t0 = time.time() 23 | result = func(*args, **kwargs) 24 | t1 = time.time() 25 | # print("Total time running %s: %s seconds" % (func.__name__, str(t1 - t0))) 26 | print("Total time running %s: %s seconds" % (func.__name__, str(t1 - t0))) 27 | return result 28 | 29 | return function_timer 30 | -------------------------------------------------------------------------------- /HeadDesc.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | # 3 | # Author: Liu xianyao 4 | # Email: flashlxy@qq.com 5 | # Update: 2017-04-06 6 | # Copyright: ©江西省气象台 2017 7 | # Version: 1.1.20170406 8 | 9 | 10 | class HeadDesc: 11 | """ 12 | 标题描述类 13 | """ 14 | 15 | def __init__(self, txt, pos, font): 16 | self.text = txt 17 | self.pos = pos 18 | self.font = font 19 | -------------------------------------------------------------------------------- /Legend.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | # 3 | # Author: Liu xianyao 4 | # Email: flashlxy@qq.com 5 | # Update: 2017-04-11 6 | # Copyright: ©江西省气象台 2017 7 | # Version: 2.0.20170411 8 | from __future__ import print_function 9 | from Projection import Projection 10 | 11 | 12 | class Legend: 13 | def __init__(self, root): 14 | p = root.find("Legend") 15 | if p is None: 16 | print("没有图例节点") 17 | return 18 | # 图例图片文件路径，图例叠加到产品图上的位置，为空表示自行生成图例 19 | legend_pic = p.find("LegendPic").text 20 | self.islegendpic = False 21 | self.legendpic = "" 22 | self.legendpos = [0, 0] 23 | self.legendopacity = 1 24 | if not (legend_pic is None or legend_pic.strip() == ""): 25 | self.islegendpic = True 26 | legend_pics = legend_pic.strip().split(",") 27 | if 1 == len(legend_pics): 28 | self.legendpic = legend_pics[0].strip() 29 | elif 4 == len(legend_pics): 30 | self.legendpic = legend_pics[0].strip() 31 | self.legendpos = [ 32 | float(legend_pics[1].strip()), 33 | float(legend_pics[2].strip()), 34 | ] 35 | self.legendopacity = float(legend_pics[3].strip()) 36 | else: 37 | self.legendpic = legend_pics[0].strip() 38 | 39 | # 图例的延展类型:neither,min,max default is neither 40 | self.extend = Projection.leaf_to_string(p, "Extend", "neither") 41 | 42 | # 是否取MICAPS数据本身的图例值 43 | self.micapslegendvalue = Projection.leaf_to_bool( 44 | p, "MicapsLegendValue", True, "TRUE" 45 | ) 46 | 47 | # When micapslegendvalue is true, the setting is working. 48 | # if pin the legend values, [begin value, stop value, step] is working.default is None 49 | # else use the data self legend values 50 | self.pinlegendvalue = Projection.leaf_to_list(p, "PinLegendValue", None) 51 | self.valid(self.pinlegendvalue) 52 | 53 | # NCL colorbar 的别名 54 | self.micapslegendcolor = Projection.leaf_to_string( 55 | p, "MicapsLegendColor", "ncl_default" 56 | ) 57 | 58 | # 图例填充样式数组，一般和自定义的legend结合使用，如不够LegendValue数组的长度，则会用最后一个样式自动补齐 59 | self.hatches = Projection.leaf_to_list(p, "Hatches", [""]) 60 | self.validhatches(self.hatches) 61 | # 图例等级值 62 | self.legendvalue = Projection.leaf_to_list(p, "LegendValue", None) 63 | 64 | # 实际显示在图例上的值 65 | self.legendvaluealias = Projection.leaf_to_list(p, "LegendValueAlias", None) 66 | 67 | # 图例颜色值 68 | self.legendcolor = Projection.leaf_to_list(p, "LegendColor", None) 69 | 70 | # 图例抽稀间隔 71 | self.thinning = Projection.leaf_to_int(p, "Thinning", 1) 72 | 73 | # 图例字体 74 | self.font = Projection.leaf_to_dict(p, "Font", None) 75 | 76 | # 图例标题 77 | self.title = Projection.leaf_to_string(p, "Title", "") 78 | 79 | # 图例标题字体 80 | self.titlefont = Projection.leaf_to_dict(p, "TitleFont", None) 81 | 82 | # 图例标题位置 83 | self.titlepos = Projection.leaf_to_dict( 84 | p, 85 | "TitlePos", 86 | {"rotation": 90, "va": "top", "ha": "center", "ypercent": 0.5}, 87 | ) 88 | 89 | # ---------- 无投影时的图例配置 start -------- 90 | # 图例放置方式 91 | self.orientation = Projection.leaf_to_string(p, "Orientation", "vertical") 92 | 93 | # 图例离边框位置 94 | self.anchor = Projection.leaf_to_list(p, "Anchor", [0, 0]) 95 | 96 | # 图例收缩系数 97 | self.shrink = Projection.leaf_to_float(p, "Shrink", 1) 98 | 99 | self.fraction = Projection.leaf_to_float(p, "Fraction", 0.15) 100 | 101 | # ---------- 有投影时的图例配置 start -------- 102 | # 图例收缩系数 103 | self.size = Projection.leaf_to_string(leaf=p, code="Size", defvalue="5%") 104 | 105 | # 图例离边框位置 106 | self.pad = Projection.leaf_to_string(leaf=p, code="Pad", defvalue="2%") 107 | 108 | # 图例放置位置 109 | self.location = Projection.leaf_to_string( 110 | leaf=p, code="Location", defvalue="right" 111 | ) 112 | 113 | def valid(self, pin): 114 | if pin is not None and len(pin) == 3: 115 | if pin[1] < pin[0] or pin[2] < 0: 116 | self.pinlegendvalue = None 117 | else: 118 | self.pinlegendvalue = None 119 | 120 | def validhatches(self, hatches): 121 | hatches_list = ["", "/", "\\", "|", "-", "+", "x", "o", "O", ".", "*"] 122 | if hatches is not None: 123 | self.hatches = [a if a in hatches_list else "" for a in hatches] 124 | -------------------------------------------------------------------------------- /Main.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | # 3 | # Author: Liu xianyao 4 | # Email: flashlxy@qq.com 5 | # Update: 2017-04-11 6 | # Copyright: ©江西省气象台 2017 7 | # Version: 2.0.20170411 8 | 9 | import sys 10 | import math 11 | from itertools import takewhile 12 | from FnTime import fn_timer 13 | 14 | 15 | def parseInt(s): 16 | """ 17 | 全局函数 字符串转整数 18 | :param s: 字符串 19 | :return: 整数 20 | """ 21 | assert isinstance(s, str) 22 | return ( 23 | int("".join(list(takewhile(lambda x: x.isdigit(), s)))) 24 | if s[0].isdigit() 25 | else None 26 | ) 27 | 28 | 29 | def equal(value1, value2): 30 | return math.fabs(value1 - value2) < 10e-5 31 | 32 | 33 | @fn_timer 34 | def main(debug): 35 | """ 36 | 主程序 37 | :param debug: 38 | :return: 39 | """ 40 | if debug: 41 | xml = r"config.xml" 42 | else: 43 | if len(sys.argv) < 2: 44 | print("参数不够，至少需要一个xml文件名参数") 45 | sys.exit() 46 | xml = sys.argv[1] 47 | 48 | from Products import Products 49 | 50 | products = Products(xml) 51 | if products is not None: 52 | for micapsfile in products.micapsfiles: 53 | micapsfile.file.micapsdata.Draw(products, micapsfile, debug) 54 | # break 55 | 56 | 57 | if __name__ == "__main__": 58 | ISDEBUG = True 59 | main(ISDEBUG) 60 | -------------------------------------------------------------------------------- /Micaps11Data.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | # Micaps第11类数据 继承Micaps基类 3 | # Author: Liu xianyao 4 | # Email: flashlxy@qq.com 5 | # Update: 2019-11-20 6 | # Copyright: ©江西省气象台 2017 7 | # Version: 3.0.20191120 8 | 9 | import math 10 | import re 11 | import nclcmaps 12 | from datetime import datetime 13 | import matplotlib.pyplot as plt 14 | import numpy as np 15 | from MicapsData import Micaps 16 | 17 | 18 | class Micaps11Data(Micaps): 19 | def __init__(self, filename, encoding="GBK"): 20 | super().__init__(filename, encoding=encoding) 21 | self.U = None 22 | self.V = None 23 | self.linewidth = 1 24 | self.color = "k" 25 | self.density = [1, 1] 26 | self.barbsgrid = [31, 31] 27 | self.cmap = None 28 | self.stream = None 29 | self.barbs = None 30 | self.length = 5 31 | self.scale = 700 32 | self.colorlist = ["k", "b", "r", "g"] 33 | self.wholeclip = False 34 | self.ReadFromFile() 35 | 36 | def ReadFromFile(self): 37 | """ 38 | 读micaps第11类数据文件到内存 39 | :return: 40 | """ 41 | try: 42 | begin = 17 43 | all_the_text = self.Read(self.filename, self.encoding) 44 | if all_the_text is None: 45 | print("Micaps 11 file error: " + self.filename) 46 | return None 47 | contents = re.split(r"[\s]+", all_the_text) 48 | if len(contents) < begin: 49 | return 50 | self.dataflag = contents[0].strip() 51 | self.style = contents[1].strip() 52 | self.title = contents[2].strip() 53 | self.yy = int(contents[3].strip()) 54 | self.mm = int(contents[4].strip()) 55 | self.dd = int(contents[5].strip()) 56 | self.hh = int(contents[6].strip()) 57 | self.forehh = int(contents[7].strip()) 58 | self.level = contents[8].strip() 59 | 60 | self.deltalon = float(contents[9].strip()) 61 | self.deltalat = float(contents[10].strip()) 62 | self.beginlon = float(contents[11].strip()) 63 | self.endlon = float(contents[12].strip()) 64 | self.beginlat = float(contents[13].strip()) 65 | self.endlat = float(contents[14].strip()) 66 | 67 | self.sumlon = int(contents[15].strip()) 68 | self.sumlat = int(contents[16].strip()) 69 | 70 | self.x = np.arange( 71 | self.beginlon, self.endlon + self.deltalon, self.deltalon 72 | ) 73 | self.y = np.arange( 74 | self.beginlat, self.endlat + self.deltalat, self.deltalat 75 | ) 76 | self.X, self.Y = np.meshgrid(self.x, self.y) 77 | 78 | if self.dataflag == "diamond" and self.style == "11": 79 | self.U = np.zeros((self.sumlat, self.sumlon)) 80 | self.V = np.zeros((self.sumlat, self.sumlon)) 81 | self.Z = np.zeros((self.sumlat, self.sumlon)) 82 | 83 | for i in range(self.sumlon): 84 | for j in range(self.sumlat): 85 | self.U[j, i] = float(contents[begin + j * self.sumlon + i]) 86 | 87 | vbegin = begin + self.sumlat * self.sumlon 88 | for i in range(self.sumlon): 89 | for j in range(self.sumlat): 90 | self.V[j, i] = float(contents[vbegin + j * self.sumlon + i]) 91 | 92 | for i in range(self.sumlon): 93 | for j in range(self.sumlat): 94 | self.Z[j, i] = math.sqrt(self.U[j, i] ** 2 + self.V[j, i] ** 2) 95 | if self.deltalat < 0: 96 | self.TransposeYaxis() 97 | 98 | except Exception as err: 99 | print("【{0}】{1}-{2}".format(self.filename, err, datetime.now())) 100 | 101 | def TransposeYaxis(self): 102 | self.beginlat, self.endlat = self.endlat, self.beginlat 103 | self.deltalat = math.fabs(self.deltalat) 104 | self.y = np.arange(self.beginlat, self.endlat + self.deltalat, self.deltalat) 105 | self.X, self.Y = np.meshgrid(self.x, self.y) 106 | self.U = self.U[::-1, ::] 107 | self.V = self.V[::-1, ::] 108 | self.Z = self.Z[::-1, ::] 109 | 110 | def UpdateData(self, products, micapsfile): 111 | self.UpdateExtents(products) 112 | # micapsfile = products.micapsfiles[0] 113 | self.min = self.Z.min() 114 | self.max = self.Z.max() 115 | self.distance = micapsfile.contour.step 116 | self.min = math.floor(self.min / self.distance) * self.distance 117 | self.max = math.ceil(self.max / self.distance) * self.distance 118 | 119 | # 如果自定义了legend的最小、最大和步长值 则用自定义的值更新 120 | self.UpdatePinLegendValue(micapsfile) 121 | 122 | from Main import equal 123 | 124 | if micapsfile.uv.onspeed and not equal(self.Z.max(), 0): 125 | self.linewidth = 5 * self.Z / self.Z.max() 126 | else: 127 | self.linewidth = micapsfile.uv.linewidth 128 | self.density = micapsfile.uv.density 129 | self.barbsgrid = micapsfile.uv.barbsgrid 130 | 131 | if micapsfile.uv.oncolor: 132 | self.color = self.Z 133 | self.cmap = nclcmaps.cmaps(micapsfile.legend.micapslegendcolor) 134 | else: 135 | self.color = micapsfile.uv.color 136 | 137 | self.barbs = micapsfile.uv.barbs 138 | self.stream = micapsfile.uv.stream 139 | self.length = micapsfile.uv.length 140 | self.scale = micapsfile.uv.scale 141 | self.wholeclip = micapsfile.uv.wholecilp 142 | self.colorlist = micapsfile.legend.legendcolor 143 | 144 | def GetPatches(self, paths): 145 | ps = [] 146 | for path in paths: 147 | from matplotlib import patches 148 | 149 | ps.append( 150 | patches.PathPatch(path, linewidth=1, facecolor="none", edgecolor="k") 151 | ) 152 | return ps 153 | 154 | def ConvertPacth(self, ax, patch): 155 | path = patch.get_path() 156 | lon = [] 157 | lat = [] 158 | for points in path.vertices: 159 | x, y = points[0], points[1] 160 | xy_pixels = ax.transData.transform(np.vstack([x, y]).T) 161 | xpix, ypix = xy_pixels.T 162 | lon.append(xpix[0]) 163 | lat.append(ypix[0]) 164 | from matplotlib.path import Path 165 | 166 | apath = Path(list(zip(lon, lat))) 167 | from matplotlib import patches 168 | 169 | apatch = patches.PathPatch(apath, linewidth=1, facecolor="none", edgecolor="k") 170 | plt.gca().add_patch(apatch) 171 | return apatch 172 | 173 | def DrawUV(self, m, micapsfile, clipborder, patch): 174 | if m is plt: 175 | if self.stream: 176 | plot = m.streamplot( 177 | self.X, 178 | self.Y, 179 | self.U, 180 | self.V, 181 | density=self.density, 182 | linewidth=self.linewidth, 183 | color=self.color, 184 | cmap=self.cmap, 185 | ) 186 | if self.barbs: 187 | barbs = m.barbs( 188 | self.X, 189 | self.Y, 190 | self.U, 191 | self.V, 192 | length=self.length, 193 | barb_increments=dict(half=2, full=4, flag=20), 194 | sizes=dict(emptybarb=0), 195 | ) 196 | pass 197 | 198 | else: 199 | # transform vectors to projection grid. 200 | uproj, vproj, xx, yy = m.transform_vector( 201 | self.U, 202 | self.V, 203 | self.x, 204 | self.y, 205 | self.barbsgrid[0], 206 | self.barbsgrid[1], 207 | returnxy=True, 208 | masked=True, 209 | ) 210 | 211 | if isinstance(self.color, np.ndarray): 212 | self.color = self.colorlist 213 | 214 | if self.stream: 215 | # plot = m.streamplot(xx, yy, uproj, vproj # , latlon=True 216 | # # density=self.density, 217 | # # linewidth=self.linewidth, 218 | # # color=self.color 219 | # # cmap=self.cmap 220 | # ) 221 | # now plot. 222 | Q = m.quiver(xx, yy, uproj, vproj, color=self.color, scale=self.scale) 223 | # make quiver key. 224 | speed = micapsfile.uv.markscalelength 225 | qk = plt.quiverkey(Q, 0.1, 0.1, speed, "%.0f m/s" % speed, labelpos="W") 226 | if self.barbs: 227 | barbs = m.barbs( 228 | xx, 229 | yy, 230 | uproj, 231 | vproj, 232 | length=self.length, 233 | barb_increments=dict(half=2, full=4, flag=20), 234 | sizes=dict(emptybarb=0), 235 | barbcolor="k", 236 | flagcolor="r", 237 | linewidth=0.5, 238 | ) 239 | 240 | if clipborder.path is not None and clipborder.using: 241 | from matplotlib.patches import FancyArrowPatch 242 | from matplotlib.collections import PolyCollection 243 | from matplotlib.lines import Line2D 244 | 245 | for artist in plt.gca().get_children(): 246 | if self.wholeclip: 247 | # from matplotlib.patches import Polygon 248 | if not isinstance(artist, Line2D): 249 | artist.set_clip_path(patch) 250 | else: 251 | from matplotlib.collections import LineCollection 252 | 253 | if ( 254 | isinstance(artist, FancyArrowPatch) 255 | or isinstance(artist, PolyCollection) 256 | or isinstance(artist, LineCollection) 257 | ): 258 | artist.set_clip_path(patch) 259 | 260 | # if m is plt and self.stream: 261 | # for ax in fig.axes: 262 | # from matplotlib.patches import FancyArrowPatch 263 | # artists = ax.get_children() 264 | # for artist in artists: 265 | # if isinstance(artist, FancyArrowPatch): 266 | # artist.set_clip_path(patch) 267 | # plot.lines.set_clip_path(patch) 268 | # 269 | # if self.barbs or (m is not plt and self.stream): 270 | # for ax in fig.axes: 271 | # artists = ax.get_children() 272 | # for artist in artists: 273 | # from matplotlib.collections import PolyCollection 274 | # if isinstance(artist, PolyCollection): 275 | # artist.set_clip_path(patch) 276 | -------------------------------------------------------------------------------- /Micaps17Data.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | # Micaps第17类数据 继承Micaps基类 3 | # Author: Liu xianyao 4 | # Email: flashlxy@qq.com 5 | # Update: 2017-04-14 6 | # Copyright: ©江西省气象台 2017 7 | # Version: 2.0.20170414 8 | from __future__ import print_function 9 | import re 10 | from datetime import datetime 11 | 12 | import math 13 | 14 | from MicapsData import Micaps 15 | 16 | 17 | class Micaps17Data(Micaps): 18 | def __init__(self, filename, encoding="GBK"): 19 | super().__init__(filename, encoding=encoding) 20 | self.stationsum = None 21 | self.stations = [] 22 | self.ReadFromFile() 23 | 24 | def ReadFromFile(self): 25 | """ 26 | 读micaps第3类数据文件到内存 27 | :return: 28 | """ 29 | try: 30 | all_the_text = self.Read(self.filename, self.encoding) 31 | if all_the_text is None: 32 | print("Micaps 17 file error: " + self.filename) 33 | return None 34 | contents = re.split(r"[\s]+", all_the_text) 35 | if len(contents) < 4: 36 | return 37 | self.dataflag = contents[0].strip() 38 | self.style = contents[1].strip() 39 | self.title = contents[2].strip() 40 | self.stationsum = int(contents[3].strip()) 41 | 42 | if self.dataflag == "diamond" and self.style == "17": 43 | begin = 4 44 | step = 0 45 | for i in range(self.stationsum): 46 | k = step + begin + 7 * i 47 | code = contents[k + 0].strip() 48 | lat = self.ChangeLL(contents[k + 1].strip()) 49 | lon = self.ChangeLL(contents[k + 2].strip()) 50 | height = float(contents[k + 3].strip()) 51 | iclass = int(contents[k + 4].strip()) 52 | infosum = int(contents[k + 5].strip()) 53 | info = [] 54 | for j in range(infosum): 55 | info.append(contents[k + 6 + j].strip()) 56 | step += infosum - 1 57 | # self.stations.append( 58 | # {'code': code, 'lon': lon, 'lat': lat, 'height': height, 59 | # 'iclass': iclass, 'infosum': infosum, 'name': info[0] 60 | # } 61 | # ) 62 | self.stations.append( 63 | [code, lat, lon, height, iclass, infosum, info[0]] 64 | ) 65 | except Exception as err: 66 | print("【{0}】{1}-{2}".format(self.filename, err, datetime.now())) 67 | 68 | @staticmethod 69 | def ChangeLL(lonlat): 70 | if "." in lonlat: 71 | return float(lonlat) 72 | else: 73 | just = math.floor(float(lonlat) / 100) 74 | return just + (float(lonlat) / 100 - just) * 100 / 60.0 75 | -------------------------------------------------------------------------------- /Micaps3Data.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | # Micaps第3类数据 继承Micaps基类 3 | # Author: Liu xianyao 4 | # Email: flashlxy@qq.com 5 | # Update: 2019-11-20 6 | # Copyright: ©江西省气象台 2017 7 | # Version: 3.0.20191120 8 | 9 | import itertools 10 | import math 11 | import operator 12 | import re 13 | import numpy as np 14 | import PolygonEx 15 | from datetime import datetime 16 | 17 | from Main import equal 18 | from MicapsData import Micaps 19 | 20 | # from matplotlib.mlab import griddata 21 | from MlabGridData import griddata 22 | 23 | 24 | class Micaps3Data(Micaps): 25 | def __init__(self, filename, encoding="GBK"): 26 | super().__init__(filename, encoding=encoding) 27 | self.contoursum = None 28 | self.smoothindex = None 29 | self.boldvalue = None 30 | self.pointsincutborder = None 31 | self.elementsum = 1 32 | self.stationsum = None 33 | self.data = [] 34 | self.defaultvalue = 9999.0 35 | 36 | self.ReadFromFile() 37 | 38 | def EqualDefaultValue(self, value): 39 | return equal(self.defaultvalue, value) 40 | 41 | def valid(self, lon, lat, zvalue): 42 | if equal(lon, 0) or equal(lon, self.defaultvalue): 43 | return False 44 | if equal(lat, 0) or equal(lat, self.defaultvalue): 45 | return False 46 | if equal(zvalue, self.defaultvalue): 47 | return False 48 | return True 49 | 50 | def ReadFromFile(self): 51 | """ 52 | 读micaps第3类数据文件到内存 53 | :return: 54 | """ 55 | try: 56 | all_the_text = self.Read(self.filename, self.encoding) 57 | if all_the_text is None: 58 | print("Micaps 3 file error: " + self.filename) 59 | return None 60 | contents = re.split(r"[\s]+", all_the_text) 61 | if len(contents) < 14: 62 | return 63 | self.dataflag = contents[0].strip() 64 | self.style = contents[1].strip() 65 | self.title = contents[2].strip() 66 | self.yy = int(contents[3].strip()) 67 | self.mm = int(contents[4].strip()) 68 | self.dd = int(contents[5].strip()) 69 | self.hh = int(contents[6].strip()) 70 | self.level = contents[7].strip() 71 | 72 | self.contoursum = int(contents[8].strip()) 73 | self.smoothindex = float(contents[9].strip()) 74 | self.boldvalue = float(contents[10].strip()) 75 | self.pointsincutborder = int(contents[11].strip()) 76 | 77 | self.elementsum = int(contents[12].strip()) 78 | self.stationsum = int(contents[13].strip()) 79 | 80 | self.x = [] 81 | self.y = [] 82 | self.z = [] 83 | 84 | self.x1 = [] 85 | self.y1 = [] 86 | self.z1 = [] 87 | 88 | self.stationsum = int((len(contents) - 14) / 5) 89 | stations = [] 90 | if self.dataflag == "diamond" and self.style == "3": 91 | begin = 14 92 | for i in range(self.stationsum): 93 | code = contents[begin + 5 * i + 0].strip() 94 | lon = float(contents[begin + 5 * i + 1].strip()) 95 | lat = float(contents[begin + 5 * i + 2].strip()) 96 | height = float(contents[begin + 5 * i + 3].strip()) 97 | zvalue = float(contents[begin + 5 * i + 4].strip()) 98 | if self.valid(lon, lat, zvalue): 99 | stations.append( 100 | { 101 | "code": code, 102 | "lon": lon, 103 | "lat": lat, 104 | "height": height, 105 | "zvalue": zvalue, 106 | } 107 | ) 108 | 109 | if len(stations) > 0: 110 | self.CheckData(stations) 111 | 112 | for ele in stations: 113 | # code = ele['code'] 114 | lon = ele["lon"] 115 | lat = ele["lat"] 116 | # height = ele['height'] 117 | zvalue = ele["zvalue"] 118 | self.x.append(lon) 119 | self.y.append(lat) 120 | self.z.append(zvalue) 121 | self.x1.append(lon) 122 | self.y1.append(lat) 123 | self.z1.append(zvalue) 124 | 125 | self.beginlon = min(self.x) 126 | self.endlon = max(self.x) 127 | self.beginlat = min(self.y) 128 | self.endlat = max(self.y) 129 | # self.data.append((code, lon, lat, height, zvalue)) 130 | 131 | except Exception as err: 132 | print("【{0}】{1}-{2}".format(self.filename, err, datetime.now())) 133 | 134 | @staticmethod 135 | def AddPoints(x, y, z, path): 136 | # 增加轮廓外围插值点 137 | ext_polygon = PolygonEx.PolygonEx(x, y, z, 1.0, path) 138 | control_point = ext_polygon.get_extend_hull() 139 | for point in control_point: 140 | x.append(point[0]) 141 | y.append(point[1]) 142 | z.append(point[2]) 143 | 144 | def CreateArray(self): 145 | self.data = np.array( 146 | self.data, 147 | dtype=[ 148 | ("code", np.int32), 149 | ("lon", np.float32), 150 | ("lat", np.float32), 151 | ("height", np.float32), 152 | ("zvalue", np.float32), 153 | ], 154 | ) 155 | 156 | def UpdateData(self, products, micapsfile): 157 | self.UpdateExtents(products) 158 | 159 | extents = products.picture.extents 160 | xmax = extents.xmax 161 | xmin = extents.xmin 162 | ymax = extents.ymax 163 | ymin = extents.ymin 164 | 165 | path = products.map.clipborders[0].path 166 | 167 | if path is not None: 168 | self.AddPoints(self.x, self.y, self.z, path) 169 | 170 | # self.CreateArray() 171 | self.X = np.linspace(xmin, xmax, micapsfile.contour.grid[0]) 172 | self.Y = np.linspace(ymin, ymax, micapsfile.contour.grid[1]) 173 | # x = self.data['lon'] 174 | # y = self.data['lat'] 175 | # z = self.data['zvalue'] 176 | self.Z = griddata(self.x, self.y, self.z, self.X, self.Y, "nn") 177 | self.X, self.Y = np.meshgrid(self.X, self.Y) 178 | 179 | self.min = min(self.z) 180 | self.max = max(self.z) 181 | self.distance = micapsfile.contour.step 182 | self.min = math.floor(self.min / self.distance) * self.distance 183 | self.max = math.ceil(self.max / self.distance) * self.distance 184 | # 如果自定义了legend的最小、最大和步长值 则用自定义的值更新 185 | self.UpdatePinLegendValue(micapsfile) 186 | 187 | @staticmethod 188 | def CheckData(data): 189 | # 根据经纬度去重 190 | getvals = operator.itemgetter("lon", "lat") 191 | data.sort(key=getvals) 192 | result = [] 193 | for _, g in itertools.groupby(data, getvals): 194 | result.append(next(g)) 195 | data[:] = result 196 | -------------------------------------------------------------------------------- /Micaps4Data.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | # Micaps第4类数据 继承Micaps基类 3 | # Author: Liu xianyao 4 | # Email: flashlxy@qq.com 5 | # Update: 2017-04-11 6 | # Copyright: ©江西省气象台 2017 7 | # Version: 2.0.20170411 8 | 9 | import numpy as np 10 | import re 11 | 12 | from datetime import datetime 13 | from MicapsData import Micaps 14 | 15 | 16 | class Micaps4Data(Micaps): 17 | def __init__(self, filename, encoding="GBK"): 18 | super().__init__(filename, encoding=encoding) 19 | self.empty = False 20 | self.ReadFromFile() 21 | 22 | def ReadFromFile(self): 23 | """ 24 | 读micaps第4类数据文件到内存 25 | :return: 26 | """ 27 | try: 28 | # file_object = codecs.open(self.filename, mode='r', encoding=self.encoding) 29 | # all_the_text = file_object.read().strip() 30 | # file_object.close() 31 | all_the_text = self.Read(self.filename, self.encoding) 32 | if all_the_text is None: 33 | self.empty = True 34 | print("Micaps 4 file error: " + self.filename) 35 | return None 36 | contents = re.split(r"[\s]+", all_the_text) 37 | if len(contents) < 23: 38 | return 39 | self.dataflag = contents[0].strip() 40 | self.style = contents[1].strip() 41 | self.title = contents[2].strip() 42 | self.yy = int(contents[3].strip()) 43 | self.mm = int(contents[4].strip()) 44 | self.dd = int(contents[5].strip()) 45 | self.hh = int(contents[6].strip()) 46 | self.forehh = int(contents[7].strip()) 47 | self.level = contents[8].strip() 48 | 49 | self.deltalon = float(contents[9].strip()) 50 | self.deltalat = float(contents[10].strip()) 51 | self.beginlon = float(contents[11].strip()) 52 | self.endlon = float(contents[12].strip()) 53 | self.beginlat = float(contents[13].strip()) 54 | self.endlat = float(contents[14].strip()) 55 | 56 | self.sumlon = int(contents[15].strip()) 57 | self.sumlat = int(contents[16].strip()) 58 | self.distance = float(contents[17].strip()) 59 | self.min = float(contents[18].strip()) 60 | self.max = float(contents[19].strip()) 61 | self.def1 = contents[20].strip() 62 | self.def2 = contents[21].strip() 63 | 64 | x = np.arange( 65 | self.beginlon, self.endlon + 0.9 * self.deltalon, self.deltalon 66 | ) 67 | y = np.arange( 68 | self.beginlat, self.endlat + 0.9 * self.deltalat, self.deltalat 69 | ) 70 | self.X, self.Y = np.meshgrid(x, y) 71 | 72 | if self.dataflag == "diamond" and self.style == "4": 73 | begin = 22 74 | self.Z = np.zeros((self.sumlat, self.sumlon)) 75 | if contents is not None: 76 | contents = np.array(contents[begin:]).astype(np.float64) 77 | self.Z = contents.reshape((self.sumlat, self.sumlon)) 78 | # self.Z = np.zeros((self.sumlat, self.sumlon)) 79 | 80 | # for i in range(self.sumlon): 81 | # for j in range(self.sumlat): 82 | # self.Z[j, i] = float(contents[begin + j * self.sumlon + i]) 83 | 84 | except Exception as err: 85 | print("【{0}】{1}-{2}".format(self.filename, err, datetime.now())) 86 | 87 | def UpdateData(self, products, micapsfile): 88 | self.UpdateExtents(products) 89 | # 如果自定义了legend的最小、最大和步长值 则用自定义的值更新 90 | self.UpdatePinLegendValue(micapsfile) 91 | 92 | @staticmethod 93 | def Write(filename, fdate, edate, flon, elon, flat, elat, xjj, yjj, nx, ny, zi): 94 | """ 95 | 把数据写入 micaps 第四类数据文件 96 | :param filename: 写入文件 97 | :param fdate: 起始日期 98 | :param edate: 结束日期 99 | :param flon: 起始经度 100 | :param elon: 结束经度 101 | :param flat: 起始纬度 102 | :param elat: 结束纬度 103 | :param xjj: 经度方向的步长 104 | :param yjj: 纬度方向的步长 105 | :param nx: 经度方向上的点数 106 | :param ny: 纬度方向上的点数 107 | :param zi: z值数组 108 | :return: 109 | """ 110 | content = "diamond 4 " + fdate + "-" + edate + "客观分析网格雨量 " 111 | content += ( 112 | fdate[0:4] 113 | + " " 114 | + fdate[4:6] 115 | + " " 116 | + fdate[6:8] 117 | + " " 118 | + fdate[8:10] 119 | + " 000 999 " 120 | ) 121 | content += ( 122 | " ".join( 123 | [ 124 | xjj, 125 | yjj, 126 | flon, 127 | elon, 128 | flat, 129 | elat, 130 | nx, 131 | ny, 132 | "10.0", 133 | "0", 134 | str(zi.max()), 135 | "0", 136 | "0", 137 | ] 138 | ) 139 | + "\n" 140 | ) 141 | for a in zi.tolist(): 142 | content += " ".join([Micaps4Data.FToS(b) for b in a]) + "\n" 143 | fp = open(filename, "w") 144 | fp.write(content) 145 | fp.close() 146 | 147 | @staticmethod 148 | def FToS(lat): 149 | """ 150 | 实数转字符串 151 | :param lat: 实数 152 | :return: 转换后的字符串 153 | """ 154 | if lat is None: 155 | s = "0" 156 | else: 157 | s = "%.2f" % lat 158 | return s 159 | -------------------------------------------------------------------------------- /MicapsData.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | # MicapsData基类 3 | # Author: Liu xianyao 4 | # Email: flashlxy@qq.com 5 | # Update: 2019-11-20 6 | # Copyright: ©江西省气象台 2017 7 | # Version: 3.0.20191120 8 | from __future__ import print_function 9 | 10 | 11 | import chardet 12 | from matplotlib.font_manager import FontProperties 13 | from matplotlib.markers import MarkerStyle 14 | 15 | import MicapsFile 16 | from Map import Map 17 | from Picture import Picture 18 | 19 | # matplotlib.use('Agg') 20 | from pylab import * 21 | from matplotlib.transforms import Bbox 22 | import os 23 | import numpy as np 24 | import matplotlib.pyplot as plt 25 | import nclcmaps 26 | import math 27 | 28 | matplotlib.rcParams["figure.subplot.top"] = 1 29 | matplotlib.rcParams["figure.subplot.bottom"] = 0 30 | matplotlib.rcParams["figure.subplot.left"] = 0 31 | matplotlib.rcParams["figure.subplot.right"] = 1 32 | matplotlib.rcParams["font.size"] = 12 33 | matplotlib.rcParams["font.sans-serif"] = ["SimHei"] # 指定默认字体 SimHei 34 | matplotlib.rcParams["axes.unicode_minus"] = False # 解决保存图像是负号'-'显示为方块的问题 35 | matplotlib.rcParams["savefig.dpi"] = 72 36 | 37 | 38 | class Micaps: 39 | def __init__(self, filename, encoding="utf-8", **kwargs): 40 | self.filename = filename 41 | self.encoding = encoding 42 | self.dataflag = None 43 | self.style = None 44 | self.title = None 45 | self.yy = None 46 | self.mm = None 47 | self.dd = None 48 | self.hh = None 49 | self.forehh = None 50 | self.level = None 51 | self.deltalon = None 52 | self.deltalat = None 53 | self.beginlon = None 54 | self.endlon = None 55 | self.beginlat = None 56 | self.endlat = None 57 | self.sumlon = None 58 | self.sumlat = None 59 | self.distance = None 60 | self.min = None 61 | self.max = None 62 | self.def1 = None 63 | self.def2 = None 64 | self.X = None 65 | self.Y = None 66 | self.Z = None 67 | self.outPath = os.path.dirname(os.path.abspath(__file__)) 68 | 69 | self.SetCheckSize(self.filename, **kwargs) 70 | self.SetEncoding0() 71 | pass 72 | 73 | def SetCheckSize(self, filename, **kwargs): 74 | if "check_bytes" in kwargs.keys(): 75 | self.check_bytes = kwargs["check_bytes"] 76 | else: 77 | if os.path.isfile(filename): 78 | self.check_bytes = os.path.getsize(self.filename) 79 | else: 80 | self.check_bytes = 1024 81 | 82 | def SetEncoding(self): 83 | if os.path.isfile(self.filename): 84 | bigdata = open(self.filename, "rb") 85 | from cchardet import UniversalDetector 86 | 87 | detector = UniversalDetector() 88 | for line in bigdata.readlines(): 89 | detector.feed(line) 90 | if detector.done: 91 | break 92 | detector.close() 93 | bigdata.close() 94 | result = detector.result 95 | if result["confidence"] is not None and result["confidence"] > 0.6: 96 | self.encoding = result.get("encoding", self.encoding) 97 | 98 | def SetEncoding0(self): 99 | # 二进制方式读取，获取字节数据，检测类型 100 | with open(self.filename, "rb") as f: 101 | data = f.read() 102 | result = chardet.detect(data) 103 | if result["confidence"] is not None and result["confidence"] > 0.8: 104 | self.encoding = result.get("encoding", self.encoding) 105 | 106 | @staticmethod 107 | def UpdatePath(path, projection): 108 | """ 109 | 根据投影对象更新path 110 | :param path: 路径对象 111 | :param projection: 投影类型 112 | :return: 113 | """ 114 | if path is None: 115 | return 116 | for point in path.vertices: 117 | point[0], point[1] = projection(point[0], point[1]) 118 | 119 | @staticmethod 120 | def Update(products, projection): 121 | """ 122 | 根据投影类型和更新产品对象中的path对象 123 | :param products: 产品参数 124 | :param projection: 投影类型 125 | :return: 126 | """ 127 | 128 | Micaps.UpdatePath(products.map.clipborders[0].path, projection) 129 | 130 | for area in products.map.borders: 131 | if area.path is not None: 132 | Micaps.UpdatePath(area.path, projection) 133 | 134 | @staticmethod 135 | def UpdateXY(projection, x, y): 136 | return projection(x, y) 137 | 138 | @staticmethod 139 | def StandardPinLegendValue(pin): 140 | distance = pin[2] 141 | minvalue = math.floor(pin[0] / distance) * distance 142 | maxvalue = math.ceil(pin[1] / distance) * distance 143 | return minvalue, maxvalue, distance 144 | 145 | def UpdateExtents(self, products): 146 | """ 147 | 更新产品参数的extents 148 | :param products: 产品参数对象 149 | :return: 150 | """ 151 | if products.picture.extents is None: 152 | maxlon = max(self.endlon, self.beginlon) 153 | minlon = min(self.endlon, self.beginlon) 154 | maxlat = max(self.endlat, self.beginlat) 155 | minlat = min(self.endlat, self.beginlat) 156 | margin = products.picture.margin 157 | xmax = maxlon + margin[2] if maxlon + margin[2] <= 180 else 180 158 | xmin = minlon - margin[0] if minlon - margin[0] >= -180 else -180 159 | ymax = maxlat + margin[1] if maxlat + margin[1] <= 90 else 90 160 | ymin = minlat - margin[3] if minlat - margin[3] >= -90 else -90 161 | products.picture.extents = Bbox.from_extents(xmin, ymin, xmax, ymax) 162 | else: 163 | extents = products.picture.extents 164 | if isinstance(extents, list): 165 | products.picture.extents = Bbox.from_extents( 166 | extents[0], extents[1], extents[2], extents[3] 167 | ) 168 | 169 | def UpdatePinLegendValue(self, micapsfile): 170 | pin = micapsfile.legend.pinlegendvalue 171 | if pin is not None: 172 | self.min, self.max, self.distance = self.StandardPinLegendValue(pin) 173 | 174 | def UpdateData(self, products, micapsfile): 175 | """ 176 | 要被重载的函数，用来更新产品中的一系列参数 177 | :param micapsfile: 产品中包含的一个micapsfile 178 | :param products:产品参数 179 | :return: 180 | """ 181 | return 182 | 183 | def GetExtend(self): 184 | if self.title.find("降水") >= 0 or self.title.find("雨") >= 0: 185 | extend = "max" 186 | else: 187 | extend = "neither" 188 | return extend 189 | 190 | def DrawUV(self, m, micapsfile, clipborder, patch): 191 | return 192 | 193 | def DrawCommon(self, products, debug=True): 194 | # 图例的延展类型 195 | # extend = self.GetExtend() 196 | # 更新绘图矩形区域 197 | # self.UpdateExtents(products) 198 | micapsfile = products.micapsfiles[0] 199 | 200 | def Clip(self, clipborder, fig, patch): 201 | if clipborder.path is not None and clipborder.using: 202 | for ax in fig.axes: 203 | if not isinstance(ax, Axes): 204 | # from matplotlib.patches import FancyArrowPatch 205 | artists = ax.get_children() 206 | for artist in artists: 207 | # if isinstance(artist, FancyArrowPatch): 208 | artist.set_clip_path(patch) 209 | 210 | @classmethod 211 | def Read(cls, filename, encoding): 212 | encodings = [encoding, "utf-8", "gb18030", "GBK"] 213 | for encoding in encodings: 214 | all_the_text = None 215 | try: 216 | with open(filename, "r", encoding=encoding) as f: 217 | all_the_text = f.read().replace(",", "").strip() 218 | break 219 | except Exception: 220 | pass 221 | if all_the_text is None: 222 | print("Micaps file error: " + filename) 223 | return None 224 | return all_the_text 225 | 226 | def Draw(self, products, micapsfile, debug=True): 227 | """ 228 | 根据产品参数绘制图像 229 | :param micapsfile: 指定绘制产品中包含的一个micapsfile 230 | :param debug: 调试状态 231 | :param products: 产品参数 232 | :return: 233 | """ 234 | self.UpdateData(products, micapsfile) 235 | extents = products.picture.extents 236 | xmax = extents.xmax 237 | xmin = extents.xmin 238 | ymax = extents.ymax 239 | ymin = extents.ymin 240 | 241 | # 设置绘图画板的宽和高 单位：英寸 242 | h = products.picture.height 243 | if products.map.projection.name == "sall": # 等经纬度投影时不用配置本身的宽度，直接根据宽高比得到 244 | w = ( 245 | h 246 | * np.math.fabs((xmax - xmin) / (ymax - ymin)) 247 | * products.picture.widthshrink 248 | ) 249 | else: 250 | w = products.picture.width 251 | 252 | # 创建画布 253 | fig = plt.figure( 254 | figsize=(w, h), dpi=products.picture.dpi, facecolor="white" 255 | ) # 必须在前面 256 | ax = fig.add_subplot(111) 257 | ax.spines["bottom"].set_linewidth(products.map.projection.axisthick) 258 | ax.spines["left"].set_linewidth(products.map.projection.axisthick) 259 | ax.spines["right"].set_linewidth(products.map.projection.axisthick) 260 | ax.spines["top"].set_linewidth(products.map.projection.axisthick) 261 | # 设置绘图区域 262 | plt.xlim(xmin, xmax) 263 | plt.ylim(ymin, ymax) 264 | 265 | # 背景透明 266 | fig.patch.set_alpha(products.picture.opacity) 267 | 268 | # 坐标系统尽可能靠近绘图区边界 269 | fig.tight_layout(pad=products.picture.pad) 270 | 271 | clipborder = products.map.clipborders[0] 272 | 273 | # 获得产品投影 274 | from Projection import Projection 275 | 276 | m = Projection.GetProjection(products) 277 | 278 | if m is not plt: 279 | # 用投影更新经纬度数据 280 | self.X, self.Y = Micaps.UpdateXY(m, self.X, self.Y) 281 | # 用投影更新产品参数中涉及经纬度的数据 282 | Micaps.Update(products, m) 283 | # 画世界底图 284 | Map.DrawWorld(products, m) 285 | 286 | # 绘制裁切区域边界 287 | patch = Map.DrawClipBorders(products.map.clipborders) 288 | 289 | # draw parallels and meridians. 290 | Map.DrawGridLine(products, m) 291 | 292 | cmap = nclcmaps.cmaps( 293 | micapsfile.legend.micapslegendcolor 294 | ) # cm.jet temp_diff_18lev 295 | vmax = math.ceil(self.max) 296 | vmin = math.floor(self.min) 297 | levels = arange(vmin - self.distance, vmax + self.distance + 0.1, self.distance) 298 | 299 | if micapsfile.legend.micapslegendvalue: 300 | level = levels 301 | else: 302 | level = micapsfile.legend.legendvalue 303 | 304 | # 绘制等值线 ------ 等值线和标注是一体的 305 | c = micapsfile.contour 306 | 307 | Map.DrawContourAndMark( 308 | contour=c, 309 | x=self.X, 310 | y=self.Y, 311 | z=self.Z, 312 | level=level, 313 | clipborder=clipborder, 314 | patch=patch, 315 | m=m, 316 | ) 317 | 318 | cf = micapsfile.contour 319 | cbar = micapsfile.legend 320 | extend = micapsfile.legend.extend 321 | # 绘制色斑图 ------ 色版图、图例、裁切是一体的 322 | Map.DrawContourfAndLegend( 323 | contourf=cf, 324 | legend=cbar, 325 | clipborder=clipborder, 326 | patch=patch, 327 | cmap=cmap, 328 | levels=levels, 329 | extend=extend, 330 | extents=extents, 331 | x=self.X, 332 | y=self.Y, 333 | z=self.Z, 334 | m=m, 335 | ) 336 | 337 | # 绘制描述文本 338 | MicapsFile.MicapsFile.DrawTitle(m, micapsfile.title, self.title) 339 | 340 | self.DrawUV(m, micapsfile, clipborder, patch) 341 | 342 | # 绘制地图 343 | Map.DrawBorders(m, products) 344 | 345 | # 绘制散点 346 | if micapsfile.contour.scatter: 347 | if hasattr(self, "x1"): 348 | m.scatter( 349 | self.x1, 350 | self.y1, 351 | s=micapsfile.contour.radius, 352 | c=self.z1, 353 | alpha=micapsfile.contour.alpha, 354 | edgecolors="b", 355 | ) 356 | else: 357 | m.scatter( 358 | self.X, 359 | self.Y, 360 | s=micapsfile.contour.radius, 361 | c=self.Z, 362 | alpha=micapsfile.contour.alpha, 363 | edgecolors="b", 364 | ) 365 | 366 | # 绘制站点 367 | stations = products.map.stations 368 | if stations.visible: 369 | # 'code': code, 'lon': lon, 'lat': lat, 'height': height, 370 | # 'iclass': iclass, 'infosum': infosum, 'name': info[0] 371 | # stations_tuple = tuple(stations.micapsdata.stations) 372 | # (code, lat, lon, height, iclass, infosum, info[0]) 373 | # stations_array = np.array(stations.micapsdata.stations, dtype=[ 374 | # ('code', 'U'), 375 | # ('lat', np.float32), 376 | # ('lon', np.float32), 377 | # ('height', np.float32), 378 | # ('iclass', 'i'), 379 | # ('infosum', 'i'), 380 | # ('info', 'U') 381 | # ]) 382 | 383 | # stations_array = [list(ele) for ele in zip(*stations.micapsdata.stations)] 384 | stations_array = list(zip(*stations.micapsdata.stations)) 385 | # 画站点mark 386 | if m is not plt: 387 | stations_array[2], stations_array[1] = Micaps.UpdateXY( 388 | m, stations_array[2], stations_array[1] 389 | ) 390 | marker = MarkerStyle(stations.markstyle[0], stations.markstyle[1]) 391 | m.scatter( 392 | stations_array[2], 393 | stations_array[1], 394 | marker=marker, 395 | s=stations.radius, 396 | c=stations.color, 397 | alpha=stations.alpha, 398 | edgecolors=stations.edgecolors, 399 | ) 400 | 401 | # 画站点文本 402 | 403 | fontfile = r"C:\WINDOWS\Fonts\{0}".format(stations.font[1]) 404 | if not os.path.exists(fontfile): 405 | font = FontProperties(size=stations.font[0], weight=stations.font[2]) 406 | else: 407 | font = FontProperties( 408 | fname=fontfile, size=stations.font[0], weight=stations.font[2] 409 | ) 410 | for sta in stations.micapsdata.stations: 411 | if m is not plt: 412 | lon, lat = Micaps.UpdateXY(m, sta[2], sta[1]) 413 | lon1, _ = Micaps.UpdateXY(m, sta[2] + stations.detax, sta[1]) 414 | deta = lon1 - lon 415 | else: 416 | lon, lat = sta[2], sta[1] 417 | deta = stations.detax 418 | plt.text( 419 | lon + deta, 420 | lat, 421 | sta[6], 422 | fontproperties=font, 423 | rotation=0, 424 | color=stations.font[3], 425 | ha="left", 426 | va="center", 427 | ) 428 | 429 | # 接近收尾 430 | 431 | # self.Clip(clipborder, fig, patch) 432 | 433 | # 存图 434 | Picture.savePicture(fig, products.picture.picfile) 435 | 436 | print(products.picture.picfile + "存图成功!") 437 | if debug: 438 | plt.show() 439 | 440 | # def GetColors(self, legend, z): 441 | # if legend.micapslegendvalue: 442 | # pass 443 | # else: 444 | # for i in range(len(z)): 445 | # if z[i] 446 | -------------------------------------------------------------------------------- /MicapsFile.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | # 3 | # Author: Liu xianyao 4 | # Email: flashlxy@qq.com 5 | # Update: 2017-04-06 6 | # Copyright: ©江西省气象台 2017 7 | # Version: 1.1.20170406 8 | from __future__ import print_function 9 | import os 10 | from matplotlib.font_manager import FontProperties 11 | import matplotlib.pyplot as plt 12 | from Contour import Contour 13 | from File import File 14 | from Legend import Legend 15 | from Title import Title 16 | from UV import UV 17 | 18 | 19 | class MicapsFile: 20 | def __init__(self, leaf): 21 | self.file = File(leaf) 22 | self.legend = Legend(leaf) 23 | self.contour = Contour(leaf) 24 | self.title = Title(leaf) 25 | self.uv = UV(leaf) 26 | 27 | @staticmethod 28 | def DrawTitle(m, title, headtxt): 29 | if m is plt: 30 | if title.mtitleposition is None: 31 | for desc in title.descs: 32 | fontfile = r"C:\WINDOWS\Fonts\{0}".format(desc.font["family"]) 33 | if not os.path.exists(fontfile): 34 | font = FontProperties( 35 | size=desc.font["fontsize"], weight=desc.font["weight"] 36 | ) 37 | else: 38 | font = FontProperties( 39 | fname=fontfile, 40 | size=desc.font["fontsize"], 41 | weight=desc.font["weight"], 42 | ) 43 | plt.text( 44 | desc.pos[0], 45 | desc.pos[1], 46 | desc.text, 47 | # size=desc.font['fontsize'], weight=desc.font['weight'], 48 | color=desc.font["color"], 49 | fontdict=desc.font, 50 | fontproperties=font, 51 | rotation=0, 52 | ha="left", 53 | va="top", 54 | ) 55 | else: 56 | if title.mtitleposition == [0, 0]: 57 | plt.title(headtxt, fontdict={"fontsize": 14}) 58 | else: 59 | plt.text( 60 | title.mtitleposition[0], 61 | title.mtitleposition[1], 62 | headtxt, 63 | size=14, 64 | weight="bold", 65 | # color='blue', 66 | # fontdict=desc.font, 67 | # fontproperties=font, 68 | rotation=0, 69 | ha="left", 70 | va="top", 71 | ) 72 | else: 73 | plt.title(headtxt) 74 | -------------------------------------------------------------------------------- /MlabGridData.py: -------------------------------------------------------------------------------- 1 | import matplotlib.cbook as cbook 2 | import numpy as np 3 | 4 | 5 | @cbook.deprecated("2.2", alternative="scipy.interpolate.griddata") 6 | def griddata(x, y, z, xi, yi, interp="nn"): 7 | """ 8 | Interpolates from a nonuniformly spaced grid to some other grid. 9 | Fits a surface of the form z = f(`x`, `y`) to the data in the 10 | (usually) nonuniformly spaced vectors (`x`, `y`, `z`), then 11 | interpolates this surface at the points specified by 12 | (`xi`, `yi`) to produce `zi`. 13 | Parameters 14 | ---------- 15 | x, y, z : 1d array_like 16 | Coordinates of grid points to interpolate from. 17 | xi, yi : 1d or 2d array_like 18 | Coordinates of grid points to interpolate to. 19 | interp : string key from {'nn', 'linear'} 20 | Interpolation algorithm, either 'nn' for natural neighbor, or 21 | 'linear' for linear interpolation. 22 | Returns 23 | ------- 24 | 2d float array 25 | Array of values interpolated at (`xi`, `yi`) points. Array 26 | will be masked is any of (`xi`, `yi`) are outside the convex 27 | hull of (`x`, `y`). 28 | Notes 29 | ----- 30 | If `interp` is 'nn' (the default), uses natural neighbor 31 | interpolation based on Delaunay triangulation. This option is 32 | only available if the mpl_toolkits.natgrid module is installed. 33 | This can be downloaded from https://github.com/matplotlib/natgrid. 34 | The (`xi`, `yi`) grid must be regular and monotonically increasing 35 | in this case. 36 | If `interp` is 'linear', linear interpolation is used via 37 | matplotlib.tri.LinearTriInterpolator. 38 | Instead of using `griddata`, more flexible functionality and other 39 | interpolation options are available using a 40 | matplotlib.tri.Triangulation and a matplotlib.tri.TriInterpolator. 41 | """ 42 | # Check input arguments. 43 | x = np.asanyarray(x, dtype=np.float64) 44 | y = np.asanyarray(y, dtype=np.float64) 45 | z = np.asanyarray(z, dtype=np.float64) 46 | if x.shape != y.shape or x.shape != z.shape or x.ndim != 1: 47 | raise ValueError("x, y and z must be equal-length 1-D arrays") 48 | 49 | xi = np.asanyarray(xi, dtype=np.float64) 50 | yi = np.asanyarray(yi, dtype=np.float64) 51 | if xi.ndim != yi.ndim: 52 | raise ValueError("xi and yi must be arrays with the same number of " 53 | "dimensions (1 or 2)") 54 | if xi.ndim == 2 and xi.shape != yi.shape: 55 | raise ValueError("if xi and yi are 2D arrays, they must have the same " 56 | "shape") 57 | if xi.ndim == 1: 58 | xi, yi = np.meshgrid(xi, yi) 59 | 60 | if interp == "nn": 61 | use_nn_interpolation = True 62 | elif interp == "linear": 63 | use_nn_interpolation = False 64 | else: 65 | raise ValueError("interp keyword must be one of 'linear' (for linear " 66 | "interpolation) or 'nn' (for natural neighbor " 67 | "interpolation). Default is 'nn'.") 68 | 69 | # Remove masked points. 70 | mask = np.ma.getmask(z) 71 | if mask is not np.ma.nomask: 72 | x = x.compress(~mask) 73 | y = y.compress(~mask) 74 | z = z.compressed() 75 | 76 | if use_nn_interpolation: 77 | try: 78 | from mpl_toolkits.natgrid import _natgrid 79 | except ImportError: 80 | raise RuntimeError( 81 | "To use interp='nn' (Natural Neighbor interpolation) in " 82 | "griddata, natgrid must be installed. Either install it " 83 | "from http://github.com/matplotlib/natgrid or use " 84 | "interp='linear' instead.") 85 | 86 | if xi.ndim == 2: 87 | # natgrid expects 1D xi and yi arrays. 88 | xi = xi[0, :] 89 | yi = yi[:, 0] 90 | 91 | # Override default natgrid internal parameters. 92 | _natgrid.seti(b"ext", 0) 93 | _natgrid.setr(b"nul", np.nan) 94 | 95 | if np.min(np.diff(xi)) < 0 or np.min(np.diff(yi)) < 0: 96 | raise ValueError("Output grid defined by xi,yi must be monotone " 97 | "increasing") 98 | 99 | # Allocate array for output (buffer will be overwritten by natgridd) 100 | zi = np.empty((yi.shape[0], xi.shape[0]), np.float64) 101 | 102 | # Natgrid requires each array to be contiguous rather than e.g. a view 103 | # that is a non-contiguous slice of another array. Use numpy.require 104 | # to deal with this, which will copy if necessary. 105 | x = np.require(x, requirements=["C"]) 106 | y = np.require(y, requirements=["C"]) 107 | z = np.require(z, requirements=["C"]) 108 | xi = np.require(xi, requirements=["C"]) 109 | yi = np.require(yi, requirements=["C"]) 110 | _natgrid.natgridd(x, y, z, xi, yi, zi) 111 | 112 | # Mask points on grid outside convex hull of input data. 113 | if np.any(np.isnan(zi)): 114 | zi = np.ma.masked_where(np.isnan(zi), zi) 115 | return zi 116 | else: 117 | # Linear interpolation performed using a matplotlib.tri.Triangulation 118 | # and a matplotlib.tri.LinearTriInterpolator. 119 | from matplotlib.tri import Triangulation, LinearTriInterpolator 120 | triang = Triangulation(x, y) 121 | interpolator = LinearTriInterpolator(triang, z) 122 | return interpolator(xi, yi) 123 | -------------------------------------------------------------------------------- /Picture.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | # 3 | # Author: Liu xianyao 4 | # Email: flashlxy@qq.com 5 | # Update: 2017-04-11 6 | # Copyright: ©江西省气象台 2017 7 | # Version: 2.0.20170411 8 | from __future__ import print_function 9 | import os 10 | from matplotlib.transforms import Bbox 11 | from Projection import Projection 12 | 13 | 14 | class Picture: 15 | def __init__(self, root, clipborders): 16 | p = root.find("Picture") 17 | # 生成的图片宽度 18 | self.width = Projection.leaf_to_float(p, "PicWidth", 10) 19 | 20 | # 生成的图片高度 21 | self.height = Projection.leaf_to_float(p, "PicHeight", 10) 22 | 23 | # dpi 24 | self.dpi = Projection.leaf_to_int(p, "Dpi", 72) 25 | 26 | # 高宽比 27 | self.widthshrink = Projection.leaf_to_float(p, "WidthShrink", 1.0) 28 | 29 | # 绘图区外延 30 | self.margin = Projection.leaf_to_list(p, "Margin", [0, 0, 0, 0]) 31 | 32 | # 绘图区内边距 33 | self.pad = Projection.leaf_to_float(p, "Pad", 0.0) 34 | 35 | # 绘图区域 36 | 37 | extents = p.find("Extents").text 38 | if extents is None or extents == "": 39 | if ( 40 | len(clipborders) < 1 41 | or clipborders[0].path is None 42 | or (not clipborders[0].using) 43 | ): 44 | self.extents = None 45 | else: 46 | jxextend = clipborders[0].path.get_extents() 47 | delta = self.margin 48 | xmax = jxextend.xmax + delta[2] 49 | xmin = jxextend.xmin - delta[0] 50 | ymax = jxextend.ymax + delta[1] 51 | ymin = jxextend.ymin - delta[3] 52 | self.extents = Bbox.from_extents(xmin, ymin, xmax, ymax) 53 | else: 54 | self.extents = Projection.leaf_to_list(p, "Extents", None) 55 | 56 | # 画布透明度 57 | self.opacity = Projection.leaf_to_float(p, "Opacity", 1) 58 | if self.opacity < 0 or self.opacity > 1: 59 | self.opacity = 1 60 | 61 | # 生成的图片文件存放路径 62 | self.picfile = Projection.leaf_to_string(p, "PicFile", "mytest.png") 63 | self.checkFilename() 64 | 65 | return 66 | 67 | @staticmethod 68 | def savePicture(fig, filename): 69 | # 存图 70 | fig.savefig(filename, format="png", transparent=False) 71 | # return 72 | 73 | def checkFilename(self): 74 | """ 75 | 创建数据文件夹 76 | :return: 77 | """ 78 | try: 79 | path = os.path.dirname(self.picfile) 80 | if not os.path.isdir(path): 81 | os.makedirs(path) 82 | except: 83 | self.picfile = "mytest.png" 84 | -------------------------------------------------------------------------------- /PolygonEx.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | # !/usr/bin/env python 3 | # ############################################## 4 | # Name: PolygonEx.py 5 | # Purpose: 获得凸型轮廓扩大选区的最外围点 6 | # Author: liuxianyao 7 | # Created: 04/11/2015 8 | # ############################################## 9 | import scipy 10 | import scipy.linalg 11 | import scipy.integrate 12 | import scipy.spatial 13 | import scipy.spatial._procrustes 14 | import scipy.special._ufuncs_cxx 15 | import scipy.optimize._lbfgsb 16 | import scipy.linalg.cython_blas 17 | import scipy.linalg.cython_lapack 18 | import numpy as np 19 | from sympy import Symbol, nsolve 20 | 21 | 22 | class PolygonEx: 23 | def __init__(self, lons, lats, zvalues, d, path): 24 | """ 25 | :param lons: x方向坐标数组 26 | :param lats: y方向坐标数组 27 | :param zvalues: 坐标数组对应的点值 28 | :param d: 扩大选取的距离 29 | :param path: 切图所用的path 30 | """ 31 | self.lons = lons 32 | self.lats = lats 33 | self.zvalues = zvalues 34 | self.d = d 35 | self.path = path 36 | 37 | def point_in_path(self, point): 38 | return self.path.contains_point((point[0], point[1])) 39 | 40 | def get_extend_hull(self): 41 | ext_points = [] 42 | # 点集转换为numpy数组 43 | points = np.array([self.lons, self.lats]).T 44 | if len(points) < 3: 45 | return ext_points 46 | # 获取点集的凸多边形轮廓 47 | hull = scipy.spatial.ConvexHull(points) 48 | 49 | for simplex in hull.simplices: 50 | # 设置初值 以获得两个解 51 | if simplex[1] == 0: 52 | continue 53 | pairs = [True, False] 54 | for pair in pairs: 55 | # print(pair) 56 | extend_point = self.equations(points[simplex], pair) 57 | # 在边界内的点排除 58 | if extend_point and not self.point_in_path(extend_point): 59 | ext_points.append( 60 | [extend_point[0], extend_point[1], self.zvalues[simplex[0]]] 61 | ) 62 | return ext_points 63 | 64 | def equations(self, point_pairs, is_less): 65 | """ 66 | 以一条线段作为直角三角形的一条边，从这条线段的起点向该线段引一条距离为d的垂线， 67 | 用垂线的另一点和该线段组成一个直角三角形，这个垂线上的另一点即为要扩展的轮廓的一点 68 | 用以下两个方程组成二元二次方程组，求解可获得这点坐标 69 | ① 直角,向量法.（x-x1)(x2-x1)+(y-y1)(y2-y1)=0 70 | ② L,两点距离公式.（x-x1)²+(y-y1)²=l² 71 | 解二元二次方程 72 | :param point_pairs:直角三角形的一条直角边 73 | :param is_less:初值的x坐标值是否大于直角边起点的x坐标值 74 | :return:返回一个解（x,y) 75 | :rtype: object 76 | """ 77 | try: 78 | x1 = point_pairs[0][0] 79 | y1 = point_pairs[0][1] 80 | x2 = point_pairs[1][0] 81 | y2 = point_pairs[1][1] 82 | deta = 0.05 83 | if is_less: 84 | init_pairs = [x1 - deta, y1] 85 | else: 86 | init_pairs = [x1 + deta, y1] 87 | 88 | x = Symbol("x") 89 | y = Symbol("y") 90 | func = [ 91 | (x2 - x1) * (x - x1) + (y2 - y1) * (y - y1), 92 | (x - x1) ** 2 + (y - y1) ** 2 - self.d**2, 93 | ] 94 | return nsolve(func, [x, y], init_pairs) 95 | except Exception as err: 96 | return None 97 | -------------------------------------------------------------------------------- /Products.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | # 产品参数类 关联模块Main，maskout和类Micaps3Data，Micaps4Data，Projection, HeadDesc 3 | # Author: Liu xianyao 4 | # Email: flashlxy@qq.com 5 | # Update: 2017-04-11 6 | # Copyright: ©江西省气象台 2017 7 | # Version: 2.0.20170411 8 | import os 9 | from datetime import datetime 10 | from xml.etree import ElementTree 11 | 12 | from Map import Map 13 | from MicapsFile import MicapsFile 14 | from Picture import Picture 15 | 16 | 17 | class Products: 18 | """ 19 | 画图参数的封装类 20 | 用法： 21 | 22 | """ 23 | 24 | def __init__(self, xmlfile): 25 | self.xmlfile = xmlfile 26 | if not os.path.exists(self.xmlfile): 27 | return 28 | try: 29 | tree = ElementTree.parse(self.xmlfile) 30 | p = tree.getroot() 31 | 32 | # 地图 33 | self.map = Map(p) 34 | 35 | # get picture para class 36 | self.picture = Picture(p, self.map.clipborders) 37 | 38 | # Get the micaps files list 39 | self.micapsfiles = [] 40 | # 3.9以上版本 .getchildren() 方法被清除 41 | # micapsfiles = p.find("MicapsFiles").getchildren() 42 | micapsfiles = list(p.find("MicapsFiles")) 43 | for micapsfile in micapsfiles: 44 | self.micapsfiles.append(MicapsFile(micapsfile)) 45 | 46 | except Exception as err: 47 | print("【{0}】{1}-{2}".format(self.xmlfile, err, datetime.now())) 48 | return None 49 | -------------------------------------------------------------------------------- /Projection.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | # 投影类 3 | # Author: Liu xianyao 4 | # Email: flashlxy@qq.com 5 | # Update: 2017-04-06 6 | # Copyright: ©江西省气象台 2017 7 | # Version: 3.0.20191120 8 | from __future__ import print_function 9 | from __future__ import print_function 10 | from mpl_toolkits.basemap import Basemap 11 | from Main import parseInt 12 | from pylab import * 13 | import matplotlib.pyplot as plt 14 | 15 | 16 | class Projection: 17 | def __init__(self, root): 18 | leaf = root.find("Projection") 19 | if leaf is None: 20 | self.name = "sall" 21 | self.name = self.leaf_to_string(leaf, "Name", "sall") 22 | self.lon_0 = self.leaf_to_float(leaf, "Lon_0") 23 | self.lat_0 = self.leaf_to_float(leaf, "Lat_0") 24 | self.lat_ts = self.leaf_to_float(leaf, "Lat_ts") 25 | self.boundinglat = self.leaf_to_float(leaf, "BoundingLat") 26 | self.llcrnrlat = self.leaf_to_float(leaf, "LlcrnrLat") 27 | self.llcrnrlon = self.leaf_to_float(leaf, "LlcrnrLon") 28 | self.urcrnrlat = self.leaf_to_float(leaf, "UrcrnrLat") 29 | self.urcrnrlon = self.leaf_to_float(leaf, "UrcrnrLon") 30 | 31 | if self.lon_0 is None or self.lat_0 is None: 32 | self.lon_0 = None 33 | self.lat_0 = None 34 | if ( 35 | self.llcrnrlat is None 36 | or self.llcrnrlon is None 37 | or self.urcrnrlat is None 38 | or self.urcrnrlon is None 39 | ): 40 | self.llcrnrlat = None 41 | self.llcrnrlon = None 42 | self.urcrnrlat = None 43 | self.urcrnrlon = None 44 | 45 | self.coastlines = self.leaf_to_bool(leaf=leaf, code="Coastlines") 46 | self.countries = self.leaf_to_bool(leaf=leaf, code="Countries") 47 | 48 | subleaf = leaf.find("Lsmask") 49 | if subleaf is None: 50 | self.lsmask = { 51 | "visible": False, 52 | "land_color": "#BF9E30", 53 | "ocean_color": "#689CD2", 54 | } 55 | else: 56 | self.lsmask = { 57 | "visible": self.leaf_to_bool(leaf=subleaf, code="Visible"), 58 | "land_color": self.leaf_to_string(subleaf, "Land_color", "#BF9E30"), 59 | "ocean_color": self.leaf_to_string(subleaf, "Ocean_color", "#689CD2"), 60 | } 61 | self.axis = Projection.leaf_to_string(leaf=leaf, code="Axis", defvalue="off") 62 | if self.axis not in ["on", "off"]: 63 | self.axis = "off" 64 | self.axisthick = self.leaf_to_float(leaf, "AxisThick", 1.0) 65 | self.axisfmt = Projection.leaf_to_list( 66 | leaf=leaf, code="AxisFmt", defvalue=["%d°E", "%d°N"] 67 | ) 68 | self.latlabels = Projection.leaf_to_list( 69 | leaf=leaf, code="LatLabels", defvalue=[0, 0, 0, 0] 70 | ) 71 | self.lonlabels = Projection.leaf_to_list( 72 | leaf=leaf, code="LonLabels", defvalue=[0, 0, 0, 0] 73 | ) 74 | 75 | @staticmethod 76 | def ValidExtents(extents): 77 | for extent in extents: 78 | if extent is None: 79 | return False 80 | return True 81 | 82 | @staticmethod 83 | def GetProjection(products): 84 | """ 85 | 根据获得产品参数获得投影后的画布对象 86 | :param products: 产品参数 87 | :return: 画布对象 88 | """ 89 | 90 | xmax = products.picture.extents.xmax 91 | xmin = products.picture.extents.xmin 92 | ymax = products.picture.extents.ymax 93 | ymin = products.picture.extents.ymin 94 | lon_0 = xmin + (xmax - xmin) / 2 95 | lat_0 = ymin + (ymax - ymin) / 2 96 | 97 | projection = products.map.projection 98 | pjname = projection.name 99 | 100 | if Projection.ValidExtents((projection.lon_0, projection.lon_0)): 101 | lon_0 = projection.lon_0 102 | lat_0 = projection.lat_0 103 | 104 | if Projection.ValidExtents( 105 | ( 106 | projection.llcrnrlat, 107 | projection.llcrnrlat, 108 | projection.urcrnrlat, 109 | projection.urcrnrlon, 110 | ) 111 | ): 112 | xmax = projection.urcrnrlon 113 | xmin = projection.llcrnrlon 114 | ymax = projection.urcrnrlat 115 | ymin = projection.llcrnrlat 116 | 117 | lat_ts = projection.lat_ts 118 | if lat_ts is None: 119 | lat_ts = lat_0 120 | 121 | boundinglat = projection.boundinglat 122 | if boundinglat is None: 123 | boundinglat = 0 124 | 125 | if pjname == "sall": 126 | m = plt 127 | elif pjname == "cyl": 128 | m = Basemap( 129 | projection="cyl", 130 | llcrnrlat=ymin, 131 | urcrnrlat=ymax, 132 | llcrnrlon=xmin, 133 | urcrnrlon=xmax, 134 | lon_0=lon_0, 135 | lat_0=lat_0, 136 | ) 137 | elif pjname == "mill": 138 | m = Basemap( 139 | projection="mill", 140 | llcrnrlon=xmin, 141 | llcrnrlat=ymin, 142 | urcrnrlon=xmax, 143 | urcrnrlat=ymax, 144 | ) 145 | elif pjname == "gnom": 146 | m = Basemap( 147 | projection="gnom", 148 | llcrnrlon=xmin, 149 | llcrnrlat=ymin, 150 | urcrnrlon=xmax, 151 | urcrnrlat=ymax, 152 | lat_0=lat_0, 153 | lon_0=lon_0, 154 | ) 155 | elif pjname == "ortho": 156 | m = Basemap(projection="ortho", lat_0=lat_0, lon_0=lon_0, resolution="l") 157 | elif pjname == "hammer": 158 | m = Basemap(projection="hammer", lon_0=lon_0) 159 | elif pjname == "kav7": 160 | m = Basemap(projection="kav7", lon_0=lon_0, resolution=None) 161 | elif pjname == "merc": 162 | ymin = ymin if ymin >= -80 else -80 163 | ymax = ymax if ymax <= 80 else 80 164 | lat_ts = lat_ts if lat_ts < 90 else 80.0 165 | m = Basemap( 166 | llcrnrlon=xmin, 167 | llcrnrlat=ymin, 168 | urcrnrlon=xmax, 169 | urcrnrlat=ymax, 170 | rsphere=(6378137.00, 6356752.3142), 171 | resolution="l", 172 | projection="merc", 173 | lat_0=lat_0, 174 | lon_0=lon_0, 175 | lat_ts=lat_ts, 176 | ) 177 | elif pjname == "lcc": 178 | # lat_1=lat_0, lat_2=60, lat_0=lat_0, lon_0=lon_0 width=12000000, height=9000000, 179 | # lon_0 = 120. 180 | # lat_0 = 90. 181 | # ymin = 5.13 182 | # ymax = 53.51 183 | # xmin = 85.86 184 | # xmax = 174.69 185 | m = Basemap( 186 | projection="lcc", 187 | # width=w, height=h, 188 | llcrnrlon=xmin, 189 | llcrnrlat=ymin, 190 | urcrnrlon=xmax, 191 | urcrnrlat=ymax, 192 | rsphere=(6378137.00, 6356752.3142), 193 | resolution="l", 194 | area_thresh=1000.0, 195 | lat_2=60, 196 | lat_1=30, 197 | lon_0=lon_0, 198 | lat_0=lat_0, 199 | ) 200 | elif pjname == "stere": 201 | # lon_0 = 116. 202 | # lat_0 = 90. 203 | # ymin = 5.13 204 | # ymax = 53.51 205 | # xmin = 85.86 206 | # xmax = 174.69 207 | m = Basemap( 208 | projection="stere", 209 | lon_0=lon_0, 210 | lat_0=lat_0, 211 | lat_ts=lat_ts, 212 | llcrnrlat=ymin, 213 | urcrnrlat=ymax, 214 | llcrnrlon=xmin, 215 | urcrnrlon=xmax, 216 | # boundinglat=ymin, 217 | # width=w, height=h, 218 | rsphere=6371200.0, 219 | resolution="l", 220 | area_thresh=10000, 221 | ) 222 | elif pjname == "npstere": 223 | m = Basemap( 224 | projection="npstere", 225 | lon_0=lon_0, 226 | lat_0=lat_0, 227 | lat_ts=lat_ts, 228 | boundinglat=boundinglat, 229 | # llcrnrlat=ymin, urcrnrlat=ymax, 230 | # llcrnrlon=xmin, urcrnrlon=xmax, 231 | # width=12000000, height=8000000, 232 | rsphere=6371200.0, 233 | area_thresh=10000, 234 | ) 235 | else: 236 | m = plt 237 | return m 238 | 239 | @staticmethod 240 | def leaf_to_float(leaf, code, defvalue=None): 241 | # 242 | try: 243 | tpos = leaf.find(code) 244 | if tpos is None or tpos.text.strip() == "": 245 | return defvalue 246 | else: 247 | return float(tpos.text.strip()) 248 | except: 249 | return defvalue 250 | 251 | @staticmethod 252 | def leaf_to_string(leaf, code, defvalue=None): 253 | # 254 | try: 255 | tpos = leaf.find(code) 256 | if tpos is None or tpos.text.strip() == "": 257 | return defvalue 258 | else: 259 | return tpos.text.strip() 260 | except Exception as err: 261 | return defvalue 262 | 263 | @staticmethod 264 | def leaf_to_bool(leaf, code, defvalue=False, ok="ON"): 265 | try: 266 | tpos = leaf.find(code) 267 | if tpos is None or tpos.text.strip() == "": 268 | return defvalue 269 | else: 270 | return str.upper(tpos.text.strip()) == ok 271 | except Exception as err: 272 | return defvalue 273 | 274 | @staticmethod 275 | def leaf_to_int(leaf, code, defvalue=None): 276 | # 277 | try: 278 | tpos = leaf.find(code) 279 | if tpos is None or tpos.text.strip() == "": 280 | return defvalue 281 | else: 282 | return parseInt(tpos.text.strip()) 283 | except Exception as err: 284 | return defvalue 285 | 286 | @staticmethod 287 | def leaf_to_list(leaf, code, defvalue=None): 288 | # 289 | try: 290 | tpos = leaf.find(code) 291 | if tpos is None or tpos.text.strip() == "": 292 | return defvalue 293 | else: 294 | labels = eval("[{0}]".format(tpos.text.strip())) 295 | return labels 296 | except Exception as err: 297 | return defvalue 298 | 299 | @staticmethod 300 | def leaf_to_dict(leaf, code, defvalue=None): 301 | # 302 | try: 303 | tpos = leaf.find(code) 304 | if tpos is None or tpos.text.strip() == "": 305 | return defvalue 306 | else: 307 | labels = eval("{0}".format(tpos.text.strip())) 308 | return labels 309 | except Exception as err: 310 | return defvalue 311 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | ## PyMICAPS（原名：MicapsDataDraw）更新到 Python3.7 python2.7 版见分支 v2.2-py2.7-20191119 2 | 3 | #### 一个超级实用生产图片工具，用 matplotlib 和 basemap 绘制 micaps 数据 4 | 5 | 利用配置文件config.xml定制参数，结合micaps具体数据， 6 | 7 | 可实现多种 micaps 数据类型的单独绘制或叠加绘制（in the future） 8 | 9 | 并自动输出相应图像到指定文件。 10 | 11 | ###### Author：Xianyao Liu | Version：3.0.20191120 | E-mail：flashlxy@qq.com | Language：Python3.7 12 | 13 | ## 更新日志 14 | 15 | 2023-04-18 升级python3.7中的matplotlib和pyshp到最新版 16 | 17 | 2019-11-20 升级到python3.7 18 | 19 | 2019-11-19 准备升级到python3.7 20 | 21 | 2018-07-09 更改工程名称为PyMicaps 22 | 23 | 2018-03-25 修复一个扩大多边形区域类PolygonEx.py中的bug 24 | 25 | 2018-03-21 修复一个在无投影下绘制shp文件的bug 26 | 27 | 2017-04-19 裁切区对流线和风矢也有效，修复1个自定义绘图区的BUG 28 | 29 | 2017-04-18 修复在投影下绘制第11类数据当纬度步长为负数时出不了图的BUG 30 | 31 | 2017-04-15 修复等值线标注在裁切区外还显示的BUG， 32 | 33 | 增加一种快捷包含shp文件中所有闭合区域作为裁切区的配置参数。 34 | 35 | 2017-04-14 增加Micaps第17类数据的绘制。 36 | 37 | 2017-04-13 增加Micaps第11类数据的绘制，修复数个小BUG，优化配置文件逻辑。 38 | 39 | 统一边界txt文件的格式为： 40 | 41 | 经度 纬度 经度 纬度 经度 纬度 ...... 42 | 43 | 或 44 | 45 | 经度 纬度 46 | 经度 纬度 47 | 经度 纬度 48 | ...... 49 | 50 | ## 主要功能 51 | 52 | #### 1、支持 Micaps 第 3、4、11、17 类数据的绘制 53 | 54 | 目前实现了某类数据的单独绘制，多类数据叠加在不久的将来实现。 55 | 56 | #### 2、支持多种投影 57 | 58 | sall：无投影，lcc:兰波托投影，mill，ortho，stere：极射赤面投影， 59 | 60 | npstere：北半球极射赤面投影, 61 | 62 | hammer，kav7，merc：麦卡托投影，gnom, cyl：等经纬度投影。 63 | 64 | #### 3、支持底图叠加 65 | 66 | 用一个或多个shp格式或者定制的txt文件叠加到底图。 67 | 68 | #### 4、支持任意区域完美白化 69 | 70 | 用shp或者定制的txt文件所形成的单个或多个闭合区域切图（也叫白化），轻松实现分省绘图。 71 | 72 | #### 5、支持灵活配置色标 73 | 74 | 可以自己定义色标，同时支持 75 | 76 | [NCL 色标](http://www.ncl.ucar.edu/Document/Graphics/color_table_gallery.shtml) 77 | 78 | #### 6、高度可定制化 79 | 80 | 包括但不限于绘图区域、标题内容、样式、位置；色标选择、位置、放置方式； 81 | 82 | 色版图、等值线、标注、格点着色的显隐等都实现了高度自定义。 83 | 84 | ## 程序运行 85 | 86 | python main.py config.xml 87 | 88 | ## 项目参考的代码及的用到的一些库 89 | 90 | #### 代码[完美白化](http://bbs.06climate.com/forum.php?mod=viewthread&tid=42437) 91 | 92 | 气象家园帖子作者的片段代码 93 | 94 | #### 第三方库[nclcmaps](http://bbs.06climate.com/forum.php?mod=viewthread&tid=43521) 95 | 96 | 作者的一个支持NCL colorbar的python库。 97 | 98 | matplotlib==3.0.3 99 | 安装方法： 100 | conda安装 conda install matplotlib==3.0.3 101 | pip安装 pip install matplotlib==3.0.3 102 | 103 | basemap 104 | 105 | numpy 106 | 107 | natgrid 108 | 安装包见.\lib\natgrid-0.2.1-cp37-cp37m-win_amd64.whl 109 | 安装方法： 110 | pip install natgrid-0.2.1-cp37-cp37m-win_amd64.whl 111 | 112 | scipy 113 | 114 | sympy 115 | 116 | pyshp=1.2.10 117 | 118 | nclcmaps 119 | 安装包见.\lib\nclcmaps-master.zip 120 | 安装方法：解压后在当前目录运行python setup.py install 121 | 122 | cchardet 123 | 124 | 欢迎大家star和fork，一并感谢2位作者！ 125 | 126 | ## 示例数据结合适当配置文件输出的图片 127 | 128 | Micaps第三类数据-等经纬度投影： 129 | 130 | ![](https://github.com/flashlxy/MicapsDataDraw/raw/master/images/xz.png) 131 | 132 | Micaps第11类数据 等经纬度和兰波托投影、自定义区域、中国区作为裁切区(流线风场也有效) 133 | 134 | ![](https://github.com/flashlxy/MicapsDataDraw/raw/master/images/10.png) 135 | 136 | ![](https://github.com/flashlxy/MicapsDataDraw/raw/master/images/11.png) 137 | 138 | Micaps第11类数据-等经纬度投影： 139 | 140 | ![](https://github.com/flashlxy/MicapsDataDraw/raw/master/images/9.png) 141 | 142 | Micaps第11类数据-ortho投影： 143 | 144 | ![](https://github.com/flashlxy/MicapsDataDraw/raw/master/images/7.png) 145 | 146 | Micaps第四类数据ortho投影： 147 | 148 | ![](https://github.com/flashlxy/MicapsDataDraw/raw/master/images/3.png) 149 | 150 | Micaps第四类 数据无投影： 151 | 152 | ![](https://github.com/flashlxy/MicapsDataDraw/raw/master/images/2.png) 153 | 154 | Micaps第四类 数据Lambert投影： 155 | 156 | ![](https://github.com/flashlxy/MicapsDataDraw/raw/master/images/1.png) 157 | 158 | Micaps第三类数据-等经纬度投影： 159 | 160 | ![](https://github.com/flashlxy/MicapsDataDraw/raw/master/images/4.png) 161 | 162 | Micaps第三类数据-Lambert投影： 163 | 164 | ![](https://github.com/flashlxy/MicapsDataDraw/raw/master/images/lcc.png) 165 | -------------------------------------------------------------------------------- /SampleData/17011418.000: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/flashlxy/PyMICAPS/8bffd1793dba2bd56bc048f4ff25f1a7e84fcc57/SampleData/17011418.000 -------------------------------------------------------------------------------- /SampleData/17032908.060: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/flashlxy/PyMICAPS/8bffd1793dba2bd56bc048f4ff25f1a7e84fcc57/SampleData/17032908.060 -------------------------------------------------------------------------------- /SampleData/17033108.240: -------------------------------------------------------------------------------- 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https://raw.githubusercontent.com/flashlxy/PyMICAPS/8bffd1793dba2bd56bc048f4ff25f1a7e84fcc57/SampleData/17041720.048 -------------------------------------------------------------------------------- /SampleData/data.txt: -------------------------------------------------------------------------------- 1 | diamond 3 ZDZData 2 | 17 01 01 00 -1 3 | 0 4 | 1 25 0 5 | 1 375 6 | 54398 116.62 40.13 1 11.5 7 | 54399 116.3 40 1 24.3 8 | 54406 115.97 40.45 1 2.4 9 | 54410 116.1 40.6 1 1.5 10 | 54412 116.6 40.7 1 0 11 | 54416 116.87 40.38 1 3.4 12 | 54419 116.63 40.37 1 3.6 13 | 54421 117.1 40.7 1 0.5 14 | 54424 117.12 40.17 1 4.4 15 | 54431 116.63 39.92 1 34 16 | 54433 116.5 40 1 22.8 17 | 54499 116.22 40.22 1 18 18 | 54501 115.7 40 1 11.4 19 | 54505 116.12 39.92 1 31.4 20 | 54511 116.47 39.8 1 24.7 21 | 54513 116.2 39.9 1 28.8 22 | 54514 116.3 39.9 1 26.6 23 | 54594 116.35 39.72 1 52.1 24 | 54596 116.13 39.68 1 31.6 25 | 54597 115.7 39.7 1 20.2 26 | A1001 116.3906 39.9 1 18.4 27 | A1003 116.4433 39.9314 1 17.6 28 | A1006 116.3544 39.9331 1 16.6 29 | A1007 116.3967 39.9819 1 12 30 | A1008 116.4614 39.9756 1 17.3 31 | A1009 116.475 39.8531 1 39.9 32 | A1010 116.3058 39.8619 1 30.7 33 | A1013 116.3144 39.9444 1 18.7 34 | A1014 116.4283 39.9053 1 22.2 35 | A1015 116.3506 39.8714 1 17.8 36 | A1016 116.4047 39.8844 1 20 37 | A1017 116.3906 40.0225 1 13.2 38 | A1018 116.4819 39.9444 1 23.6 39 | A1019 116.2117 39.9156 1 18.8 40 | A1020 116.3889 39.8719 1 18.1 41 | A1021 116.2814 39.8067 1 38.4 42 | A1022 116.1661 39.8789 1 26.5 43 | A1023 116.3983 39.83 1 31 44 | A1024 116.2911 39.9453 1 18.3 45 | A1029 116.3058 39.9139 1 18.5 46 | A1030 116.4278 39.8731 1 30.9 47 | A1031 116.1714 39.9642 1 31.8 48 | A1032 116.195 39.9967 1 30.3 49 | A1033 116.1811 40.1358 1 4.2 50 | A1034 116.3211 40.0153 1 17.3 51 | A1035 116.3422 39.8158 1 23.7 52 | A1036 116.1575 39.9333 1 31.2 53 | A1037 116.1592 39.8089 1 32.8 54 | A1038 116.4808 39.9075 1 33.9 55 | A1039 116.6217 39.9719 1 22.5 56 | A1040 116.4408 40.0272 1 9.7 57 | A1041 116.5911 39.8306 1 32 58 | A1042 116.4094 39.9683 1 13.3 59 | A1043 116.2356 39.9042 1 28.2 60 | A1045 116.2664 40.0039 1 18.4 61 | A1046 116.3414 39.8461 1 17.3 62 | A1047 116.3914 39.8564 1 17.7 63 | A1048 116.4806 39.9256 1 28.9 64 | A1049 116.35 39.9069 1 15 65 | A1050 116.0903 40.08 1 26.2 66 | A1051 116.0986 40.1114 1 17.8 67 | A1052 116.5486 39.9075 1 31.7 68 | A1053 116.2719 39.8669 1 32.3 69 | A1054 116.235 40.0656 1 25.7 70 | A1060 116.3842 39.9067 1 17.5 71 | A1061 116.3333 39.9844 1 18.2 72 | A1065 116.2769 39.9089 1 23.9 73 | A1066 116.1139 39.8572 1 27.8 74 | A1067 116.0717 39.8689 1 29.4 75 | A1068 116.2103 39.9681 1 0.1 76 | A1069 116.2039 40.0375 1 26.6 77 | A1070 116.2164 39.8456 1 29 78 | A1072 116.5264 39.8761 1 19.2 79 | A1073 116.5556 40.0033 1 23.8 80 | A1074 116.3214 39.9472 1 17.8 81 | A1076 116.3944 39.9156 1 18.9 82 | A1078 116.1939 39.8719 1 27.8 83 | A1079 116.1983 39.8792 1 32.9 84 | A1080 116.1244 39.9308 1 26.5 85 | A1081 116.12 39.9667 1 32.6 86 | A1085 116.5244 40.0581 1 15.5 87 | A1086 116.5056 40.0236 1 17.9 88 | A1087 116.51 39.9681 1 21.7 89 | A1088 116.4753 39.8319 1 29 90 | A1089 116.4972 39.8714 1 30 91 | A1090 116.5453 39.9319 1 35.4 92 | A1091 116.5614 39.8842 1 27.7 93 | A1092 116.6133 39.9089 1 25.4 94 | A1093 116.6217 39.9361 1 30.6 95 | A1094 116.5628 39.9486 1 42.3 96 | A1095 116.3508 39.81 1 21.7 97 | A1099 116.3902778 39.9905556 1 9999 98 | A1102 116.1981 39.8906 1 40 99 | A1103 116.1011 39.5237 1 29.7 100 | A1201 116.7764 39.6769 1 0.1 101 | A1202 116.7144 39.8478 1 28.7 102 | A1203 116.5553 39.7472 1 32.2 103 | A1204 116.8636 39.8381 1 13.9 104 | A1205 116.7511 39.9236 1 20.6 105 | A1208 116.6978 39.6867 1 33.4 106 | A1209 116.7689 39.7717 1 16 107 | A1212 116.6094 39.8375 1 35.6 108 | A1213 116.6861 39.9072 1 26.7 109 | A1214 116.6789 39.9572 1 29 110 | A1215 116.7236 39.7581 1 20.1 111 | A1216 116.72361 39.75806 1 9999 112 | A1218 116.7875 39.8428 1 17.5 113 | A1219 116.6281 39.8428 1 33.9 114 | A1251 116.6464 39.6192 1 19.9 115 | A1252 116.3211 39.5222 1 38.3 116 | A1253 116.5031 39.6933 1 36.2 117 | A1254 116.325 39.6028 1 65.3 118 | A1255 116.5106 39.6156 1 37.5 119 | A1256 116.5681 39.6978 1 31.6 120 | A1257 116.4425 39.7631 1 20.4 121 | A1258 116.4086 39.6283 1 37.1 122 | A1259 116.4144 39.5414 1 40.1 123 | A1260 116.3281 39.7878 1 33.1 124 | A1261 116.2508 39.6636 1 48.2 125 | A1265 116.3475 39.4578 1 31.4 126 | A1266 116.3272 39.55 1 49.2 127 | A1267 116.2431 39.5925 1 46.2 128 | A1268 116.4364 39.81 1 50.5 129 | A1270 116.2528 39.7353 1 30.8 130 | A1309 115.7289 39.5794 1 22.2 131 | A1310 115.8828 39.8203 1 25.8 132 | A1311 115.8911 39.6194 1 31.1 133 | A1312 115.5247 39.7822 1 12.4 134 | A1313 115.9069 39.6697 1 41.9 135 | A1314 116.1289 39.7433 1 34.8 136 | A1315 115.8319 39.7678 1 21.5 137 | A1316 116.11 39.6072 1 29 138 | A1317 115.6681 39.8528 1 14.9 139 | A1318 115.6025 39.635 1 6.6 140 | A1319 116.0333 39.7761 1 37.9 141 | A1320 115.7708 39.885 1 7.8 142 | A1321 116.0083 39.705 1 33.1 143 | A1322 115.8206 39.5519 1 33.9 144 | A1323 116.1106 39.6467 1 33 145 | A1324 116.1906 39.6903 1 48 146 | A1327 115.8747 39.5828 1 35.3 147 | A1328 115.715 39.8356 1 11.6 148 | A1329 115.5808 39.8128 1 15.8 149 | A1330 115.8419 39.6331 1 41.6 150 | A1331 116.0244 39.6097 1 37.5 151 | A1332 115.8594 39.7903 1 14.3 152 | A1333 115.8558 39.6892 1 35.7 153 | A1334 116.0131 39.8292 1 26.7 154 | A1335 115.9133 39.7314 1 27.7 155 | A1336 115.8369 39.7206 1 27.5 156 | A1337 115.8264 39.6069 1 39.4 157 | A1338 115.7053 39.875 1 11.3 158 | A1339 116.1383 39.6772 1 38.7 159 | A1344 115.9853 39.6567 1 31 160 | A1345 116.0808 39.6831 1 33.2 161 | A1346 115.9219 39.805 1 16.4 162 | A1351 115.4961 40.0489 1 9.4 163 | A1352 116.0233 40.0681 1 12.2 164 | A1353 115.6203 39.9428 1 12.7 165 | A1354 116.105 39.9378 1 32.5 166 | A1355 115.7672 39.995 1 3.1 167 | A1356 116.0228 39.8772 1 26.8 168 | A1357 115.945 39.9728 1 13.7 169 | A1358 115.8778 40.0319 1 6.7 170 | A1359 115.5003 39.9394 1 4.2 171 | A1360 115.5839 39.8672 1 9.8 172 | A1361 116.0531 39.9842 1 20.2 173 | A1362 115.7136 40.07 1 7.2 174 | A1363 116.1311 40.0144 1 20.9 175 | A1364 115.8603 40.13 1 14.5 176 | A1365 115.8936 40.0731 1 7.5 177 | A1366 115.6394 39.9958 1 22.8 178 | A1367 115.7836 39.94 1 13.3 179 | A1368 115.5661 39.8831 1 1.5 180 | A1369 115.9994 39.9753 1 14.8 181 | A1370 115.815 40.1269 1 7.9 182 | A1371 116.085 40.0089 1 34.4 183 | A1372 115.59 39.9025 1 0 184 | A1373 115.76 40.0364 1 9999 185 | A1374 115.6472 39.9206 1 11 186 | A1375 115.5719 39.9872 1 6.8 187 | A1376 115.7483 40.0908 1 0 188 | A1377 115.6828 39.9464 1 14.6 189 | A1378 116.0489 39.9058 1 21.3 190 | A1379 115.9064 39.9517 1 10.5 191 | A1380 116.0889 39.9739 1 29.5 192 | A1381 116.1094 39.9142 1 26.5 193 | A1401 116.3836 40.1831 1 11.8 194 | A1402 116.3028 40.3678 1 7.4 195 | A1403 116.0672 40.2883 1 6.1 196 | A1404 116.03 40.1983 1 9.8 197 | A1405 116.3322 40.2267 1 20.7 198 | A1406 116.1778 40.2567 1 22.6 199 | A1407 116.2453 40.2939 1 13.3 200 | A1408 116.4531 40.2208 1 21.3 201 | A1409 116.2856 40.1472 1 14.8 202 | A1410 115.9756 40.1019 1 6.1 203 | A1411 116.2658 40.2436 1 16.2 204 | A1415 116.3458 40.1733 1 14.2 205 | A1416 116.4192 40.1172 1 9.5 206 | A1417 115.9461 40.2136 1 5.5 207 | A1418 116.1561 40.1944 1 19.9 208 | A1419 116.2417 40.275 1 12.7 209 | A1421 116.3578 40.2022 1 12.4 210 | A1422 116.07 40.1719 1 19.4 211 | A1423 116.4206 40.3103 1 15.5 212 | A1424 116.3294 40.1269 1 14.9 213 | A1425 116.0081 40.1603 1 11.4 214 | A1426 115.875 40.1556 1 15 215 | A1427 116.0006 40.2003 1 10 216 | A1428 116.2392 40.1194 1 11.9 217 | A1429 115.9436 40.155 1 5.9 218 | A1430 116.1536 40.3236 1 9.8 219 | A1431 116.06 40.22 1 13.9 220 | A1432 116.2069 40.3181 1 11.4 221 | A1433 116.4217 40.275 1 19.8 222 | A1434 116.3225 40.3086 1 19.6 223 | A1435 116.4375 40.23 1 20.7 224 | A1436 116.215 40.365 1 14 225 | A1437 116.3228 40.26 1 12.3 226 | A1438 116.1003 40.2436 1 11.6 227 | A1439 116.3338889 40.07305556 1 9999 228 | A1440 116.3911111 40.065 1 9999 229 | A1441 116.3319 40.1911 1 16.4 230 | A1442 116.2119 40.2219 1 0.7 231 | A1443 116.1489 40.1469 1 32.2 232 | A1444 116.3339 40.0731 1 15.2 233 | A1445 116.3911 40.065 1 13.5 234 | A1451 115.8939 40.4558 1 1.7 235 | A1452 116.4061 40.5297 1 0.3 236 | A1453 115.6078 40.2347 1 1.9 237 | A1454 116.005 40.5461 1 1.2 238 | A1455 116.2225 40.4361 1 10.7 239 | A1456 116.4869 40.5969 1 0 240 | A1457 116.1775 40.6531 1 0.2 241 | A1458 115.8647 40.4417 1 0.5 242 | A1459 116.0683 40.4442 1 8 243 | A1460 116.1689 40.5242 1 5.1 244 | A1461 115.8886 40.5442 1 0 245 | A1462 116.3239 40.6931 1 0.4 246 | A1463 116.1983 40.5814 1 1.7 247 | A1464 115.7822 40.4517 1 3.1 248 | A1465 116.2631 40.705 1 0 249 | A1466 116.0642 40.5311 1 0.8 250 | A1468 115.9975 40.3572 1 9.1 251 | A1469 115.8139 40.5044 1 1.3 252 | A1470 115.8497 40.4078 1 1 253 | A1471 115.9397 40.5197 1 0.4 254 | A1473 116.3197 40.63 1 0.2 255 | A1474 116.4281 40.7517 1 0.8 256 | A1475 116.3439 40.5381 1 3.3 257 | A1476 116.2383 40.4156 1 14.8 258 | A1477 116.4811 40.6683 1 0 259 | A1478 116.0931 40.4061 1 14.8 260 | A1479 116.0094 40.4881 1 3.3 261 | A1480 116.4203 40.5547 1 0.3 262 | A1481 115.9008 40.4122 1 3.2 263 | A1482 115.9719 40.4772 1 1.4 264 | A1483 116.2539 40.4397 1 6.9 265 | A1484 116.3581 40.5217 1 2.4 266 | A1485 116.1814 40.4269 1 11.7 267 | A1486 116.0889 40.5947 1 1.1 268 | A1487 115.8694 40.4669 1 1.2 269 | A1488 116.0967 40.5078 1 2.7 270 | A1489 115.7825 40.5203 1 0.5 271 | A1490 115.8014 40.5414 1 9999 272 | A1491 115.8292 40.5542 1 9999 273 | A1492 115.8194 40.5433 1 9999 274 | A1496 115.5742 40.312 1 9999 275 | A1501 117.3286 40.1819 1 3 276 | A1502 116.9975 40.0439 1 8.6 277 | A1503 117.0425 40.3017 1 4.9 278 | A1504 117.2217 40.1453 1 3.4 279 | A1505 117.1678 40.1983 1 3.6 280 | A1506 117.2331 40.2056 1 2.7 281 | A1507 117.1619 40.3506 1 2.1 282 | A1508 116.9364 40.2044 1 6.7 283 | A1509 117.1492 40.1275 1 4.6 284 | A1510 117.2106 40.2503 1 2.7 285 | A1511 117.2275 40.3331 1 2.5 286 | A1513 116.9964 40.1169 1 10.7 287 | A1514 117.1428 40.0761 1 5.5 288 | A1515 117.2928 40.2164 1 2 289 | A1517 117.1675 40.2994 1 2.6 290 | A1518 117.0364 40.1583 1 6.9 291 | A1519 117.1064 40.2572 1 3 292 | A1520 117.3233 40.2411 1 1.3 293 | A1521 117.2725 40.2781 1 1.8 294 | A1522 116.9831 40.2561 1 4.4 295 | A1523 117.2303 40.3558 1 1.9 296 | A1524 117.0214 40.3186 1 4.4 297 | A1525 117.1581 40.2272 1 2.6 298 | A1526 117.1089 40.2214 1 3.3 299 | A1527 117.355 40.2183 1 1.4 300 | A1530 117.0886 40.1208 1 7.2 301 | A1531 117.0319 40.2178 1 6.2 302 | A1551 116.6592 40.1667 1 14.6 303 | A1552 116.6864 40.1817 1 11.3 304 | A1553 116.9147 40.0867 1 14.5 305 | A1554 116.8511 40.2314 1 5.7 306 | A1555 116.8072 40.1386 1 10.8 307 | A1556 116.6375 40.0758 1 15.6 308 | A1557 116.7228 40.1972 1 10.2 309 | A1558 116.5897 40.1208 1 11.1 310 | A1559 116.75 40.0869 1 16.5 311 | A1560 116.5372 40.1111 1 15.2 312 | A1561 116.5794 40.1817 1 6.4 313 | A1562 116.5072 40.2097 1 6.2 314 | A1563 116.8622 40.2644 1 4.8 315 | A1568 116.5714 40.0581 1 10.1 316 | A1569 116.6508 40.2061 1 6.9 317 | A1570 116.6508 40.2439 1 6.2 318 | A1571 116.7053 40.1331 1 13.2 319 | A1572 116.6622 40.1225 1 13.4 320 | A1573 116.7675 40.2436 1 6.6 321 | A1574 116.8208 40.0658 1 15.6 322 | A1575 116.9131 40.1503 1 11.7 323 | A1601 116.6786 40.2947 1 4.2 324 | A1602 116.4539 40.3597 1 6.6 325 | A1603 116.6842 40.3906 1 2.4 326 | A1604 116.6575 40.6033 1 0.3 327 | A1605 116.7606 40.7994 1 0 328 | A1606 116.4611 40.4139 1 5 329 | A1607 116.5647 40.6933 1 0.1 330 | A1608 116.55 40.2847 1 9 331 | A1609 116.6206 40.3022 1 2.9 332 | A1610 116.6153 40.9011 1 0 333 | A1617 116.4869 40.8025 1 0 334 | A1618 116.5567 40.3931 1 8.5 335 | A1619 116.6025 40.5831 1 0.3 336 | A1620 116.7047 40.845 1 0 337 | A1621 116.6306 40.3203 1 2.8 338 | A1622 116.3367 40.4072 1 3 339 | A1623 116.5325 40.4694 1 6.9 340 | A1625 116.64861 40.40028 1 9999 341 | A1626 116.6992 40.3264 1 3.9 342 | A1627 116.7617 40.7597 1 0 343 | A1628 116.6472 40.9444 1 0 344 | A1629 116.5211 40.8408 1 0 345 | A1630 116.6558 40.4925 1 0.9 346 | A1631 116.6011 40.4672 1 1.7 347 | A1632 116.6683 40.3956 1 2.7 348 | A1633 116.6228 40.2711 1 3.6 349 | A1651 117.1211 40.5364 1 0.2 350 | A1652 116.9706 40.5647 1 0.6 351 | A1653 117.3289 40.6419 1 0 352 | A1654 117.1156 40.4 1 1.8 353 | A1655 116.8481 40.4744 1 4.5 354 | A1656 116.8697 40.6192 1 9.5 355 | A1657 116.9614 40.2928 1 5.7 356 | A1658 116.675 40.5528 1 0.3 357 | A1659 116.7542 40.6506 1 0 358 | A1660 116.8056 40.5614 1 1.3 359 | A1661 116.8569 40.7617 1 0.1 360 | A1662 117.1744 40.5081 1 0.6 361 | A1663 116.9903 40.435 1 4.2 362 | A1664 117.1578 40.6853 1 0.4 363 | A1665 117.3553 40.5983 1 0 364 | A1666 116.7375 40.4617 1 2.3 365 | A1667 116.7636 40.5556 1 1.1 366 | A1669 116.8039 40.7256 1 0 367 | A1670 116.9417 40.3806 1 5.7 368 | A1671 116.8836 42.6531 1 6.3 369 | A1672 116.8406 40.6022 1 3.7 370 | A1673 116.7989 40.605 1 0.2 371 | A1674 116.9919 40.6239 1 3.8 372 | A1675 116.8211 40.3308 1 6 373 | A1676 116.8083 40.3792 1 6.2 374 | A1677 116.7831 40.3519 1 6.7 375 | T0001 116.18 40.09 1 9999 376 | T0002 116.3 40.01 1 9999 377 | T0003 116.12 40.05 1 9999 378 | T0004 116.26 40.03 1 9999 379 | T0005 116.09 40.07 1 9999 380 | T0006 116 39.99 1 9999 381 | -------------------------------------------------------------------------------- /SampleData/jxstation.txt: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/flashlxy/PyMICAPS/8bffd1793dba2bd56bc048f4ff25f1a7e84fcc57/SampleData/jxstation.txt -------------------------------------------------------------------------------- /SampleData/readme.txt: -------------------------------------------------------------------------------- 1 | sample data 2 | -------------------------------------------------------------------------------- /Stations.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | # 站点类 3 | # Author: Liu xianyao 4 | # Email: flashlxy@qq.com 5 | # Update: 2017-04-14 6 | # Copyright: ©江西省气象台 2017 7 | # Version: 1.1.20170414 8 | from __future__ import print_function 9 | from Micaps17Data import Micaps17Data 10 | from Projection import Projection 11 | 12 | 13 | class Stations: 14 | def __init__(self, root): 15 | leaf = root.find("Stations") 16 | 17 | self.file = Projection.leaf_to_string(leaf, "File") 18 | self.visible = Projection.leaf_to_bool(leaf, "Visible", False) 19 | self.markstyle = Projection.leaf_to_list(leaf, "MarkStyle", ["o", "full"]) 20 | self.color = Projection.leaf_to_string(leaf, "Color", "k") 21 | self.edgecolors = Projection.leaf_to_string(leaf, "EdgeColors", "k") 22 | 23 | self.alpha = Projection.leaf_to_float(leaf, "Alpha", 1.0) 24 | self.radius = Projection.leaf_to_float(leaf, "Radius", 5) 25 | self.font = Projection.leaf_to_list(leaf, "Font", [18, "myyh.ttc", "bold", "k"]) 26 | self.detax = Projection.leaf_to_float(leaf, "Detax", 0.03) 27 | self.micapsdata = Micaps17Data(self.file) 28 | -------------------------------------------------------------------------------- /Title.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | # 3 | # Author: Liu xianyao 4 | # Email: flashlxy@qq.com 5 | # Update: 2017-04-06 6 | # Copyright: ©江西省气象台 2017 7 | # Version: 1.1.20170406 8 | from __future__ import print_function 9 | from HeadDesc import HeadDesc 10 | from Main import parseInt 11 | from Projection import Projection 12 | 13 | 14 | class Title: 15 | def __init__(self, root): 16 | p = root.find("Title") 17 | 18 | # 是否按Micaps数据的标题写产品描述 19 | self.mtitleposition = Projection.leaf_to_list(p, "MTitlePosition", None) 20 | 21 | # 产品图片文字描述（可能多个） 22 | descs = list(p.find("Descs")) 23 | self.descs = [] 24 | for desc in descs: 25 | txt = Projection.leaf_to_string(desc, "Text", "测试数据") 26 | pos = Projection.leaf_to_list(desc, "Position", [113.2, 30.5]) 27 | fonts = desc.find("Font").text.strip().split(",") 28 | font = { 29 | "family": "monospace", 30 | "weight": "bold", 31 | "fontsize": 12, 32 | "color": "k", 33 | } 34 | if len(fonts) == 4: 35 | font["fontsize"] = parseInt(fonts[0].strip()) 36 | font["family"] = fonts[1] 37 | font["weight"] = fonts[2] 38 | font["color"] = fonts[3] 39 | self.descs.append(HeadDesc(txt, pos, font)) 40 | -------------------------------------------------------------------------------- /UV.py: -------------------------------------------------------------------------------- 1 | # -*- coding: utf-8 -*- 2 | # 3 | # Author: Liu xianyao 4 | # Email: flashlxy@qq.com 5 | # Update: 2017-04-11 6 | # Copyright: ©江西省气象台 2017 7 | # Version: 2.0.20170411 8 | from __future__ import print_function 9 | from Projection import Projection 10 | 11 | 12 | class UV: 13 | def __init__(self, root): 14 | leaf = root.find("UV") 15 | if leaf is None: 16 | return 17 | 18 | self.stream = Projection.leaf_to_bool(leaf, "Stream", False) 19 | self.density = Projection.leaf_to_list(leaf, "Density", [1, 1]) 20 | self.barbsgrid = Projection.leaf_to_list(leaf, "BarbsGrid", [31, 31]) 21 | self.color = Projection.leaf_to_string(leaf, "Color", "k") 22 | self.onspeed = Projection.leaf_to_bool(leaf, "OnSpeed", False) 23 | self.wholecilp = Projection.leaf_to_bool(leaf, "WholeClip", False) 24 | self.oncolor = Projection.leaf_to_bool(leaf, "OnColor", False) 25 | self.linewidth = Projection.leaf_to_float(leaf, "LineWidth", 1.0) 26 | self.scale = Projection.leaf_to_int(leaf, "Scale", 700) 27 | self.markscalelength = Projection.leaf_to_float(leaf, "MarkScaleLength", 12.0) 28 | 29 | self.barbs = Projection.leaf_to_bool(leaf, "Barbs", False) 30 | self.length = Projection.leaf_to_int(leaf, "Length", 1) 31 | -------------------------------------------------------------------------------- /_config.yml: -------------------------------------------------------------------------------- 1 | theme: jekyll-theme-hacker -------------------------------------------------------------------------------- /borders/JA.txt: -------------------------------------------------------------------------------- 1 | 115.631578 27.484354 115.616844 27.504513 115.613597 27.51869 115.598593 27.526621 115.612501 27.544373 115.615161 27.573269 115.610471 27.577417 115.623742 27.597871 115.624194 27.606512 115.631199 27.617696 115.643756 27.624423 115.658529 27.642999 115.669213 27.650398 115.670561 27.656639 115.682491 27.657534 115.702045 27.684774 115.719917 27.699079 115.73201 27.715526 115.741709 27.735278 115.734698 27.756867 115.736915 27.763681 115.732744 27.768256 115.726765 27.767121 115.703187 27.777233 115.696559 27.791836 115.684734 27.798531 115.679681 27.815879 115.663916 27.834198 115.650768 27.826839 115.643246 27.829871 115.636694 27.827546 115.61884 27.834118 115.592474 27.850822 115.584717 27.869519 115.572829 27.866082 115.558014 27.871669 115.548261 27.877861 115.538902 27.890535 115.530784 27.891291 115.51716 27.902462 115.523136 27.91341 115.520874 27.922356 115.535974 27.931126 115.541547 27.938366 115.544032 27.949601 115.541012 27.955392 115.530842 27.95277 115.517469 27.954045 115.49117 27.962821 115.482382 27.954402 115.470171 27.951961 115.481023 27.940576 115.477727 27.932171 115.466298 27.926912 115.446487 27.939432 115.449974 27.964434 115.435558 27.967603 115.431832 27.962945 115.433227 27.952624 115.420723 27.96124 115.399629 27.949939 115.400256 27.941305 115.414809 27.935632 115.415665 27.931531 115.410461 27.917373 115.393177 27.906896 115.390721 27.898209 115.400643 27.889088 115.412247 27.886329 115.413921 27.879434 115.403032 27.875141 115.39731 27.876584 115.39432 27.866854 115.388709 27.871286 115.367494 27.867402 115.366594 27.851785 115.358357 27.838571 115.33775 27.824703 115.325237 27.803904 115.295954 27.777845 115.286784 27.773204 115.211632 27.757284 115.184223 27.740946 115.172366 27.739026 115.16279 27.722443 115.155373 27.716239 115.142452 27.716432 115.145376 27.732919 115.142796 27.737043 115.133611 27.740089 115.13286 27.743819 115.127758 27.743138 115.119633 27.735471 115.114753 27.721634 115.092879 27.710146 115.088225 27.71152 115.085554 27.723311 115.069888 27.732691 115.064296 27.732356 115.030548 27.716824 115.033045 27.702933 115.022167 27.69485 115.021747 27.673851 115.02674 27.669513 115.024598 27.658973 115.015489 27.656916 115.004195 27.661353 114.986789 27.680501 114.982448 27.680938 114.967197 27.667464 114.976586 27.662599 114.976814 27.656251 114.96054 27.645727 114.95018 27.646083 114.935832 27.639486 114.932132 27.635796 114.932926 27.630088 114.919752 27.620956 114.895092 27.614162 114.894022 27.607078 114.886135 27.597255 114.87092 27.597828 114.859358 27.591218 114.845775 27.596527 114.834498 27.5961 114.827425 27.603948 114.824885 27.613868 114.783779 27.626313 114.767878 27.611743 114.761354 27.613424 114.748971 27.60877 114.748373 27.600363 114.743495 27.595663 114.73691 27.606465 114.716273 27.605244 114.709358 27.597461 114.686143 27.594498 114.675288 27.583764 114.674202 27.574077 114.667216 27.569589 114.658425 27.547981 114.641288 27.536134 114.630001 27.541353 114.624219 27.562352 114.614875 27.561096 114.608235 27.555473 114.600093 27.561938 114.601069 27.567504 114.597133 27.571116 114.550458 27.570557 114.542184 27.579974 114.537205 27.601859 114.514141 27.608821 114.506919 27.603253 114.51032 27.595083 114.508829 27.588573 114.490317 27.582072 114.472499 27.563666 114.468626 27.568059 114.44064 27.56901 114.43127 27.564816 114.423542 27.553831 114.381814 27.556439 114.374385 27.551811 114.355468 27.570333 114.341646 27.560733 114.339998 27.565612 114.31534 27.58143 114.291487 27.584306 114.273814 27.577068 114.262118 27.567651 114.235895 27.557892 114.22564 27.533032 114.209027 27.528615 114.205702 27.511601 114.210803 27.499862 114.200924 27.479162 114.187753 27.466678 114.184354 27.45509 114.174717 27.445872 114.163166 27.444981 114.15009 27.436649 114.131163 27.435346 114.119278 27.442678 114.092401 27.434305 114.077936 27.439781 114.067451 27.436633 114.046422 27.439309 114.039962 27.43424 114.033952 27.412682 114.029546 27.40898 114.032805 27.40141 114.027497 27.397077 114.023705 27.385984 114.04654 27.387033 114.059694 27.38052 114.056021 27.375124 114.061181 27.367872 114.080349 27.357906 114.077514 27.353781 114.078984 27.342815 114.089198 27.33843 114.120356 27.334151 114.116024 27.321881 114.117667 27.317899 114.133997 27.312555 114.14315 27.319398 114.14727 27.318459 114.145363 27.306046 114.156003 27.288102 114.155014 27.271318 114.164386 27.259022 114.16417 27.248713 114.129212 27.224608 114.119819 27.230013 114.104877 27.218549 114.10086 27.212641 114.104477 27.2033 114.097796 27.196936 114.092523 27.174859 114.082486 27.160399 114.055976 27.163929 114.041874 27.153991 114.019873 27.128865 114.010404 27.101082 114.002263 27.091816 114.004171 27.064089 113.98892 27.051598 113.985862 27.042365 113.973128 27.039585 113.970541 27.036114 113.965335 27.022805 113.969653 27.007696 113.967747 27.004871 113.954917 27.004243 113.937073 26.984452 113.927942 26.965887 113.932934 26.952924 113.910187 26.934343 113.907532 26.924053 113.909529 26.916776 113.896856 26.901823 113.895053 26.886391 113.897798 26.874523 113.891355 26.867441 113.88036 26.86261 113.865463 26.839971 113.864405 26.832979 113.841167 26.809857 113.843339 26.801946 113.852472 26.794109 113.860036 26.775512 113.862905 26.720862 113.869084 26.705749 113.86697 26.670294 113.874466 26.659284 113.883603 26.662822 113.887904 26.660702 113.891344 26.642137 113.906371 26.635875 113.912919 26.621756 113.945483 26.618536 113.959713 26.619476 113.969087 26.624371 113.976753 26.622644 113.979923 26.618542 113.983359 26.622343 114.00279 26.621944 114.024116 26.605852 114.022055 26.597743 114.026189 26.593644 114.039603 26.591578 114.065831 26.579906 114.091203 26.583713 114.108256 26.582595 114.112709 26.578761 114.113334 26.568702 114.102766 26.554419 114.10401 26.547385 114.086314 26.52196 114.090635 26.508434 114.078775 26.493155 114.07995 26.485097 114.100552 26.486151 114.106814 26.480481 114.092935 26.445551 114.095174 26.41749 114.091955 26.412216 114.083025 26.409963 114.078248 26.415591 114.070645 26.41312 114.056452 26.396847 114.049524 26.396062 114.042777 26.383245 114.037044 26.382634 114.038345 26.375276 114.046194 26.367278 114.046286 26.351539 114.056688 26.343456 114.042987 26.332725 114.045821 26.313666 114.033703 26.304597 114.028059 26.294722 114.029551 26.281986 114.035785 26.272413 113.995534 26.252983 113.985358 26.243918 113.987376 26.234882 113.97804 26.225381 113.97917 26.212052 113.973813 26.205944 113.954373 26.195538 113.952703 26.19022 113.958374 26.18362 113.958206 26.177663 113.951091 26.169446 113.966986 26.156667 113.975288 26.160953 113.988438 26.159148 113.986359 26.167267 114.012271 26.187047 114.015144 26.185904 114.019829 26.190371 114.034409 26.186115 114.042914 26.194486 114.050959 26.187418 114.064152 26.187344 114.06099 26.176268 114.062958 26.169216 114.067059 26.168491 114.068799 26.17313 114.075636 26.175444 114.093114 26.17218 114.100523 26.1825 114.106832 26.184629 114.106797 26.190865 114.11163 26.195366 114.142608 26.204728 114.148405 26.209554 114.159748 26.210365 114.184526 26.222241 114.187945 26.220961 114.193192 26.202859 114.223273 26.209284 114.227599 26.196318 114.23884 26.18778 114.224947 26.17469 114.225858 26.170152 114.231819 26.165935 114.242115 26.166429 114.243911 26.160256 114.196317 26.127259 114.174258 26.128217 114.163205 26.121714 114.115184 26.106604 114.112124 26.103905 114.113922 26.101456 114.125386 26.096264 114.127437 26.092265 114.113358 26.075752 114.106513 26.07803 114.09212 26.072297 114.076422 26.084286 114.050367 26.082486 114.053826 26.07523 114.045859 26.071815 114.042363 26.050698 114.03448 26.037874 114.014345 26.020487 114.016165 26.00657 114.020815 26.007646 114.026575 25.999523 114.034247 25.997736 114.033902 25.985164 114.027192 25.978382 114.045542 25.992675 114.064397 25.997567 114.080906 25.992414 114.090139 25.998706 114.112038 25.998015 114.128661 26.010931 114.137218 26.007793 114.155383 26.015987 114.158058 26.024487 114.167838 26.031179 114.196682 26.035022 114.227806 26.02505 114.237501 26.032986 114.26415 26.032392 114.27631 26.03558 114.283937 26.041404 114.288333 26.037678 114.299617 26.040585 114.298089 26.05171 114.301223 26.058593 114.312312 26.064715 114.318742 26.073137 114.340095 26.082029 114.342403 26.088488 114.351054 26.094611 114.3634 26.097197 114.381502 26.122757 114.39797 26.118159 114.408362 26.119484 114.418643 26.112849 114.432881 26.113509 114.430905 26.104924 114.435301 26.087739 114.45009 26.114703 114.463022 26.120473 114.459285 26.148918 114.462274 26.151974 114.470088 26.150514 114.48206 26.155108 114.495411 26.170865 114.508822 26.177605 114.526605 26.198561 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###################################################################################################################### 7 | # ####USAGE:INPUT include 'originfig':the matplotlib instance## 8 | # 'ax': the Axes instance 9 | # 'shapefile': the shape file used for generating a basemap A 10 | # 'region':the name of a region of on the basemap A,outside the region the data is to be maskout 11 | # OUTPUT is 'clip' :the the masked-out or clipped matplotlib instance. 12 | import shapefile 13 | from matplotlib.path import Path 14 | from matplotlib.patches import PathPatch 15 | 16 | 17 | def getPathFromShp(shpfile, region, encoding="utf-8"): 18 | try: 19 | sf = shapefile.Reader(shpfile, encoding=encoding) 20 | vertices = [] # 这块是已经修改的地方 21 | codes = [] # 这块是已经修改的地方 22 | paths = [] 23 | for shape_rec in sf.shapeRecords(): 24 | # if shape_rec.record[3] == region: # 这里需要找到和region匹配的唯一标识符，record[]中必有一项是对应的。 25 | if region == [100000] or shape_rec.record[4] in region: # 这块是已经修改的地方 26 | pts = shape_rec.shape.points 27 | prt = list(shape_rec.shape.parts) + [len(pts)] 28 | for i in range(len(prt) - 1): 29 | for j in range(prt[i], prt[i + 1]): 30 | vertices.append((pts[j][0], pts[j][1])) 31 | codes += [Path.MOVETO] 32 | codes += [Path.LINETO] * (prt[i + 1] - prt[i] - 2) 33 | codes += [Path.CLOSEPOLY] 34 | path = Path(vertices, codes) 35 | paths.append(path) 36 | if paths: 37 | path = Path.make_compound_path(*paths) 38 | else: 39 | path = None 40 | return path 41 | except Exception as err: 42 | print(err) 43 | return None 44 | 45 | 46 | def shp2clip(originfig, ax, shpfile, region, encoding=None): 47 | if encoding is None: 48 | encoding = "utf-8" 49 | path = getPathFromShp(shpfile=shpfile, region=region, encoding=encoding) 50 | patch = None 51 | if path: 52 | patch = PathPatch( 53 | path, transform=ax.transData, facecolor="none", edgecolor="black" 54 | ) 55 | for contour in originfig.collections: 56 | contour.set_clip_path(patch) 57 | return path, patch 58 | 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