Question

我正在使用matplotlib在循环中进行子绘图。例如，我想要绘制49个数据集，并从文档中，我这样实现它;

import numpy as np
import matplotlib.pyplot as plt

X1=list(range(0,10000,1))
X1 = [ x/float(10) for x in X1 ]
nb_mix = 2

parameters = []

for i in range(49):

    param = []

    Y = [0] * len(X1)

    for j in range(nb_mix):

        mean = 5* (1 + (np.random.rand() * 2 - 1 ) * 0.5 )
        var = 10* (1 + np.random.rand() * 2 - 1 )
        scale = 5* ( 1 + (np.random.rand() * 2 - 1) * 0.5 )

        Y = [ Y[k] + scale * np.exp(-((X1[k] - mean)/float(var))**2) for k in range(len(X1)) ] 
        param = param + [[mean, var, scale]]



    ax = plt.subplot(7, 7, i + 1)
    ax.plot(X1, Y)

    parameters = parameters + [param]

ax.show()

但是，从i = 0开始，我的索引超出了范围错误。

我能在哪里做得更好？

- 这是我得到的错误

Traceback (most recent call last):
  File "F:\WORK\SOLVEUR\ALGOCODE\PYTHON_\DataSets\DataSets_DONLP2_gaussians.py", line 167, in <module>
    ax = plt.subplot(7, 7, i + 1)
  File "C:\Python27\lib\site-packages\matplotlib\pyplot.py", line 766, in subplot
    a = fig.add_subplot(*args, **kwargs)
  File "C:\Python27\lib\site-packages\matplotlib\figure.py", line 777, in add_subplot
    a = subplot_class_factory(projection_class)(self, *args, **kwargs)
  File "C:\Python27\lib\site-packages\matplotlib\axes.py", line 8364, in __init__
    self._subplotspec = GridSpec(rows, cols)[int(num)-1]
  File "C:\Python27\lib\site-packages\matplotlib\gridspec.py", line 175, in __getitem__
    raise IndexError("index out of range")
IndexError: index out of range

由于

subplot matplotlib语法错误

0 个答案: