├── .idea ├── inspectionProfiles │ └── profiles_settings.xml ├── mat.iml ├── misc.xml ├── modules.xml └── workspace.xml ├── README.md ├── 折线图.py ├── 散点图.py ├── 条形图.py ├── 直方图.py ├── 箱形图.py └── 饼状图.py /.idea/inspectionProfiles/profiles_settings.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 7 | -------------------------------------------------------------------------------- /.idea/mat.iml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 11 | -------------------------------------------------------------------------------- /.idea/misc.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | -------------------------------------------------------------------------------- /.idea/modules.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | -------------------------------------------------------------------------------- /.idea/workspace.xml: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | 31 | 32 | 33 | 34 | 35 | 36 | 37 | 38 | 39 | 40 | 41 | 42 | 43 | 44 | 45 | 46 | 47 | 48 | 49 | 50 | 51 | 52 | 53 | 54 | 55 | 56 | 57 | 58 | 59 | 60 | 61 | 62 | 63 | 64 | 65 | 66 | 67 | 68 | 69 | 70 | 71 | 72 | 73 | 74 | 75 | 76 | 77 | 78 | 79 | 80 | 81 | 82 | 83 | 84 | 85 | 86 | 87 | 88 | 89 | 90 | 91 | 92 | 93 | 98 | 99 | 100 | 110 | 111 | 112 | 113 | 114 | true 115 | DEFINITION_ORDER 116 | 117 | 118 | 123 | 124 | 125 | 126 | 127 | 128 | 129 | 130 | 131 | 132 | 133 | 134 | 135 | 136 | 137 | 138 | 139 | 140 | 141 | 142 | 143 | 146 | 147 | 150 | 151 | 152 | 153 | 154 | 155 | 156 | 157 | 158 | 159 | 160 | 161 | 162 | 172 | 173 | 174 | 175 | 193 | 194 | 212 | 213 | 231 | 232 | 250 | 251 | 269 | 270 | 289 | 290 | 291 | 292 | 293 | 294 | 295 | 296 | 297 | 298 | 299 | 300 | 301 | 302 | 303 | 304 | 305 | 306 | 319 | 320 | 333 | 334 | 352 | 353 | 365 | 366 | project 367 | 368 | 369 | 370 | 371 | 372 | 373 | 374 | 375 | 376 | 377 | 378 | 379 | 380 | 381 | 382 | 401 | 402 | 417 | 418 | 419 | 420 | 421 | 422 | 423 | 424 | 425 | 426 | 427 | 428 | 429 | 430 | 431 | 432 | 433 | 434 | 435 | 437 | 438 | 439 | 440 | 1496452679238 441 | 445 | 446 | 447 | 448 | 449 | 450 | 451 | 452 | 453 | 454 | 455 | 456 | 457 | 458 | 459 | 460 | 461 | 462 | 463 | 464 | 465 | 466 | 467 | 468 | 469 | 470 | 471 | 472 | 473 | 475 | 476 | 478 | 479 | 480 | 481 | 482 | 483 | 484 | 485 | 486 | 487 | 488 | 489 | 490 | 491 | 492 | 493 | 494 | 495 | 496 | 497 | 498 | 499 | 500 | 501 | 502 | 503 | 504 | 505 | 506 | 507 | 508 | 509 | 510 | 511 | 512 | 513 | 514 | 515 | 516 | 517 | 518 | 519 | 520 | 521 | 522 | 523 | 524 | 525 | 526 | 527 | 528 | 529 | 530 | 531 | 532 | 533 | 534 | 535 | 536 | 537 | 538 | 539 | 540 | 541 | 542 | 543 | 544 | 545 | 546 | 547 | 548 | 549 | 550 | 551 | 552 | 553 | 554 | 555 | 556 | 557 | 558 | 559 | 560 | 561 | 562 | 563 | 564 | 565 | 566 | 567 | 568 | 569 | 570 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # python数据可视化建图 2 | #所需环境(代码在python3.6.1下完美运行):
3 |

4 |

matplotlib:安装方法 pip install matplotlib    或 easy_install matplotlib


5 | 6 |

numpy:安装方法 pip install numpy    或 easy_install numpy

7 | -------------------------------------------------------------------------------- /折线图.py: -------------------------------------------------------------------------------- 1 | #coding:utf-8 2 | import matplotlib.pyplot as plt 3 | import matplotlib.dates as mdates 4 | import numpy as np 5 | x=np.linspace(-10000,10000,100) #将-10到10等区间分成100份 6 | y=x**2+x**3+x**7 7 | plt.plot(x,y) 8 | plt.show() 9 | 10 | -------------------------------------------------------------------------------- /散点图.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/python3 2 | import matplotlib.pyplot as plt 3 | import numpy as np 4 | N=50 5 | # height=np.random.randint(150,180,20) 6 | # weight=np.random.randint(80,150,20) 7 | x=np.random.randn(N) 8 | y=np.random.randn(N) 9 | plt.scatter(x,y,s=50,c='r',marker='o',alpha=0.5) 10 | plt.show() 11 | 12 | -------------------------------------------------------------------------------- /条形图.py: -------------------------------------------------------------------------------- 1 | import matplotlib.pyplot as plt 2 | import numpy as np 3 | N=5 4 | y=[20,10,30,25,15] 5 | y1=np.random.randint(10,50,5) 6 | x=np.random.randint(10,1000,N) 7 | index=np.arange(N) 8 | # plt.bar(left=index,height=y,color='red',width=0.3) 9 | # plt.bar(left=index+0.3,height=y1,color='black',width=0.3) 10 | #plt.barh() 加了h就是横向的条形图，不用设置orientation 11 | plt.bar(left=0,bottom=index,width=y,color='red',height=0.5,orientation='horizontal') 12 | plt.show() -------------------------------------------------------------------------------- /直方图.py: -------------------------------------------------------------------------------- 1 | #coding:utf-8 2 | import matplotlib.pyplot as plt 3 | import numpy as np 4 | 5 | # m1=100 6 | # sigma=20 7 | # x=m1+sigma*np.random.randn(2000) 8 | # plt.hist(x,bins=50,color="green",normed=True) 9 | # plt.show() 10 | 11 | #双变量的直方图 12 | #颜色越深频率越高 13 | #研究双变量的联合分布 14 | x=np.random.rand(1000)+2 15 | y=np.random.rand(1000)+3 16 | plt.hist2d(x,y,bins=40) 17 | plt.show() 18 | -------------------------------------------------------------------------------- /箱形图.py: -------------------------------------------------------------------------------- 1 | #coding:utf-8 2 | import matplotlib.pyplot as plt 3 | import numpy as np 4 | data=np.random.normal(loc=0,scale=1,size=1000) 5 | #sym 点的形状，whis虚线的长度 6 | plt.boxplot(data,sym="o",whis=1.5) 7 | plt.show() 8 | -------------------------------------------------------------------------------- /饼状图.py: -------------------------------------------------------------------------------- 1 | #coding:utf-8 2 | import matplotlib.pyplot as plt 3 | import numpy as np 4 | labes=['A','B','C','D'] 5 | fracs=[15,30,45,10] 6 | explode=[0,0.1,0.05,0] 7 | #设置x,y轴比例为1：1，从而达到一个正的圆 8 | plt.axes(aspect=1) 9 | #labels标签参数,x是对应的数据列表,autopct显示每一个区域占的比例,explode突出显示某一块,shadow阴影 10 | plt.pie(x=fracs,labels=labes,autopct="%.0f%%",explode=explode,shadow=True) 11 | plt.show() 12 | 13 | --------------------------------------------------------------------------------