3D条形图使用Matplotlib和数据框绘制。

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英文:

3d bar chart with matplotlib using DataFrames

问题

我有以下的DataFrame：

  1. j	k	z
  2. 16	36	3.34541e-07
  3. 19	40	4.4038e-07
  4. 21	52	1.24715e-06
  5. 24	41	9.13244e-07
  6. 25	37	6.33979e-07
  7. 25	45	5.89413e-07
  8. 26	31	7.83958e-07
  9. 26	36	6.24651e-07
  10. 26	42	5.44847e-07
  11. 26	47	4.77851e-07
  12. 27	30	8.50074e-07
  13. 27	35	5.51727e-07
  14. 27	36	1.2272e-06
  15. 27	38	5.77199e-07

我尝试使用plotly和matplotlib，但结果非常不理想。

英文:

I have the following DataFrame:

  1. j	k	z
  2. 16	36	3.34541e-07
  3. 19	40	4.4038e-07
  4. 21	52	1.24715e-06
  5. 24	41	9.13244e-07
  6. 25	37	6.33979e-07
  7. 25	45	5.89413e-07
  8. 26	31	7.83958e-07
  9. 26	36	6.24651e-07
  10. 26	42	5.44847e-07
  11. 26	47	4.77851e-07
  12. 27	30	8.50074e-07
  13. 27	35	5.51727e-07
  14. 27	36	1.2272e-06
  15. 27	38	5.77199e-07

And I am not finding any solutions to display this data in a nice and simple way with a bar chart where j k are the bar indices and z controls the height.

I tried with plotly, matplotlib, and had very poor results

答案1

得分: 1

  1. # 使用matplotlib：
  3. import numpy as np
  4. import pandas as pd
  5. import matplotlib.pyplot as plt
  7. df = pd.DataFrame([
  8.     [16, 36, 3.34541e-07],
  9.     [19, 40, 4.4038e-07],
  10.     [21, 52, 1.24715e-06],
  11.     [24, 41, 9.13244e-07],
  12.     [25, 37, 6.33979e-07],
  13.     [25, 45, 5.89413e-07],
  14.     [26, 31, 7.83958e-07],
  15.     [26, 36, 6.24651e-07],
  16.     [26, 42, 5.44847e-07],
  17.     [26, 47, 4.77851e-07],
  18.     [27, 30, 8.50074e-07],
  19.     [27, 35, 5.51727e-07],
  20.     [27, 36, 1.2272e-06],
  21.     [27, 38, 5.77199e-07]
  22. ])
  23. df.columns = ['j', 'k', 'z']
  25. fig = plt.figure()
  26. ax = fig.add_subplot(projection='3d')
  27. ax.bar3d(df['j'], df['k'], np.zeros_like(df['k']), dx=0.5, dy=1, dz=df['z'])
  28. ax.set_xlabel('j')
  29. ax.set_ylabel('k')
  30. plt.show()

3D条形图使用Matplotlib和数据框绘制。

英文:

Using matplotlib:

  1. import numpy as np
  2. import pandas as pd
  3. import matplotlib.pyplot as plt
  5. df = pd.DataFrame([
  6.     [16, 36, 3.34541e-07],
  7.     [19, 40, 4.4038e-07],
  8.     [21, 52, 1.24715e-06],
  9.     [24, 41, 9.13244e-07],
  10.     [25, 37, 6.33979e-07],
  11.     [25, 45, 5.89413e-07],
  12.     [26, 31, 7.83958e-07],
  13.     [26, 36, 6.24651e-07],
  14.     [26, 42, 5.44847e-07],
  15.     [26, 47, 4.77851e-07],
  16.     [27, 30, 8.50074e-07],
  17.     [27, 35, 5.51727e-07],
  18.     [27, 36, 1.2272e-06],
  19.     [27, 38, 5.77199e-07]
  20. ])
  21. df.columns = ['j', 'k', 'z']
  24. fig = plt.figure()
  25. ax = fig.add_subplot(projection='3d')
  26. ax.bar3d(df['j'], df['k'], np.zeros_like(df['k']), dx=0.5, dy=1, dz=df['z'])
  27. ax.set_xlabel('j')
  28. ax.set_ylabel('k')
  29. plt.show()

3D条形图使用Matplotlib和数据框绘制。

huangapple
  • 本文由 发表于 2023年2月9日 02:10:15
  • 转载请务必保留本文链接：https://go.coder-hub.com/75390041.html
  • bar3d
  • matplotlib
  • matplotlib-3d
  • pandas
  • python
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