绘制三维散点图
2017-08-18 00:00
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import numpy as np import pandas as pd
不同类型的label可区分
def data_vasual(): """ 绘制散点图 :return: """ feature_data = pd.read_csv('./dataset/feature').values import matplotlib.pyplot as plt # 不导入这个就会报错。 from mpl_toolkits.mplot3d import Axes3D f1 = plt.figure(1) ax = f1.add_subplot(111, projection='3d') X = feature_data[:999, 0] Y = feature_data[:999, 1] Z = feature_data[:999, 2] ax.scatter(X, Y, Z, marker='x', color='m', label='1', s=30) # 绘制数据点 ax.set_xlabel('longitude') ax.set_ylabel('latitude') ax.set_zlabel('deepth') f1.show() print(1)
feature:
licheng,youxi,bingbang 40920,8.326976,0.953952 14488,7.153469,1.673904 26052,1.441871,0.805124 75136,13.147394,0.428964 38344,1.669788,0.134296 72993,10.14174,1.0329549999999998 35948,6.830792,1.213192 42666,13.276369,0.54388 67497,8.631577,0.749278 35483,12.273169,1.508053 50242,3.723498,0.831917 63275,8.385879,1.669485 5569,4.875435,0.728658 51052,4.680098,0.625224 77372,15.29957,0.331351 43673,1.889461,0.191283 61364,7.516754,1.269164 69673,14.239195,0.261333 15669,0.0,1.250185 28488,10.528555,1.304844 6487,3.540265,0.822483 37708,2.991551,0.8339200000000001 22620,5.297865,0.638306 28782,6.593803,0.187108 19739,2.81676,1.686209 36788,12.458258,0.649617 5741,0.0,1.656418 28567,9.968648,0.731232 6808,1.364838,0.640103 41611,0.230453,1.151996 36661,11.865402,0.88281 43605,0.12046,1.352013 15360,8.545204,1.340429 63796,5.856649,0.16000599999999998 10743,9.665617999999998,0.778626 70808,9.778763,1.084103 72011,4.932976,0.632026 5914,2.216246,0.587095 14851,14.305635999999998,0.632317 33553,12.591889,0.686581 44952,3.424649,1.004504 17934,0.0,0.147573 27738,8.533823,0.205324 29290,9.829528,0.23862 42330,11.492186,0.263499 36429,3.570968,0.832254 39623,1.7712279999999998,0.207612 32404,3.513921,0.991854 27268,4.398172,0.975024 5477,4.276823,1.174874 14254,5.946014,1.614244 68613,13.79897,0.724375 41539,10.393591,1.6637240000000002 7917,3.007577,0.297302 21331,1.031938,0.486174 8338,4.7512120000000015,0.064693 5176,3.692269,1.655113 18983,10.448091,0.267652 68837,10.585786,0.329557 13438,1.604501,0.069064 48849,3.679497,0.961466 12285,3.795146,0.6966939999999999 7826,2.531885,1.659173 5565,9.73334,0.977746 10346,6.093067,1.413798 1823,7.712960000000002,1.054927 9744,11.470364,0.7604609999999999 16857,2.886529,0.934416 39336,10.054373,1.138351 65230,9.97247,0.881876 2463,2.335785,1.3661450000000002 27353,11.375155,1.528626 16191,0.0,0.6056189999999999 12258,4.126787,0.357501 42377,6.319522,1.058602 25607,8.680527,0.08695499999999999 77450,14.856391,1.129823 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