Question

没有找到答案。

我的数据看起来像这样：

import pandas as pd    
mapDF = pd.DataFrame({u'N1': {0: 20,  1: 20,  2: 20,  3: 20,  4: 20,  5: 21,  6: 21,  7: 21,  8: 21,  9: 21,  10: 22,  11: 22,  12: 22,  13: 22,  14: 22,  15: 23,  16: 23,  17: 23,  18: 23,  19: 23,  20: 24,  21: 24,  22: 24,  23: 24,  24: 24}, 
    u'N2': {0: 50,  1: 51,  2: 52,  3: 53,  4: 54,  5: 50,  6: 51,  7: 52,  8: 53,  9: 54,  10: 50,  11: 51,  12: 52,  13: 53,  14: 54,  15: 50,  16: 51,  17: 52,  18: 53,  19: 54,  20: 50,  21: 51,  22: 52,  23: 53,  24: 54}, 
    u'optGain': {0: 1.119175,  1: 1.11189,  2: 1.0984430000000001,  3: 1.0648280000000001,  4: 1.0459499999999999,  5: 1.149848,  6: 1.154882,  7: 1.1460840000000001,  8: 1.096886,  9: 1.098012,  10: 1.1416869999999999,  11: 1.118763,  12: 1.118763,  13: 1.098276,  14: 1.068576,  15: 1.1165069999999999,  16: 1.128744,  17: 1.128744,  18: 1.1070770000000001,  19: 1.0678430000000001,  20: 1.100743,  21: 1.096325,  22: 1.087421,  23: 1.090177,  24: 1.089968}, 
    u'simGain': {0: 0.94936399999999999,  1: 0.94052000000000002,  2: 0.93819300000000005,  3: 0.90808299999999997,  4: 0.91296299999999997,  5: 0.94936399999999999,  6: 0.90771599999999997,  7: 0.90771599999999997,  8: 0.91296299999999997,  9: 0.85592699999999999,  10: 0.90232000000000001,  11: 0.90232000000000001,  12: 0.84629200000000004,  13: 0.75560000000000005,  14: 0.75560000000000005,  15: 0.92555200000000004,  16: 0.87239299999999997,  17: 0.87274600000000002,  18: 0.88428399999999996,  19: 0.83454799999999996,  20: 0.86954900000000002,  21: 0.88426899999999997,  22: 0.88746899999999995,  23: 0.82285200000000003,  24: 0.82285200000000003}})

我正在尝试制作等高线图或曲面图，其中N1，N2是x，y轴，optGain列是值。尝试使用pylab或plotlib，但没有一个接受DF，所有都需要对数据进行网格划分。这很麻烦，因为我不打算绘制函数，而是绘制已有的数据。任何帮助或指示将不胜感激谢谢！

Answer 1

查看this question的答案。

一般情况下，您可以使用

执行此操作

import matplotlib.pyplot as plt

plt.scatter(mapDF.N1.values, mapDF.N2.values, c=mapDF.optGain.values, s=500)
plt.gray()

plt.show()

它将在连续灰色的价值观中绘制东西。

修改

以上将绘制灰度散点图。正如Syrtis Major在评论中所述，请尝试tricontour获取2d等高线图。使用此功能，请注意colors参数，具体为：

如果matplotlib颜色的元组args（字符串，浮点数，rgb等），将按指定的顺序以不同的颜色绘制不同的级别。

因此，您可以使用mapDF.optGain.values为不同级别构建RGB颜色。

有没有一种简单的方法从pandas数据框中的3列绘制轮廓或曲面图？

1 个答案: