python - savefig 步骤 : ValueError: cannot convert float NaN to integer 出错

Question

我正在尝试创建循环来绘制多个数据文件。

#!/usr/bin/env python
# -*- coding: utf-8 -*-


import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import glob
import os

pathf1 = r'/home/foo/condt/'
allfiles1 = glob.glob(pathf1 + '/*.csv')
fig1 = plt.figure()



for filee_ in allfiles1:
       dfp = pd.read_csv(filee_, sep=',', encoding='utf-8')
       ax = plt.subplot(111)
       ax.plot(dfp['col3'], dfp['col2'], ls = '-', color='red', marker='x', markersize = 25.0)
       ax.errorbar(dfp['col1'], dfp['col2'], yerr=dfp['PN_6_FLUX_ERR'], ls='None', marker = '.')
       ax.set_xlim((dfp['col1'].min()-0.1*(dfp['col1'].max()-dfp['col1'].min())), ((dfp['col1'].max()+0.1*(dfp['col1'].max()-dfp['col1'].min()))))
       ax.set_ylim((dfp['col2'].min()-dfp['col2'].max()),((dfp['col2'].max()/2.0)+dfp['col2'].max())
       ax.grid()
       plt.xticks(dfp['col1'])
       plt.yticks(dfp['col2'])
       plt.xlabel('col1')
       plt.ylabel('col2')
       plt.title('col1 vs. col2')
       filenamee = ''+ str('%02s' %filee_)+'.png'
       plt.savefig(filenamee, dpi=600)
       plt.clf()

plt.show()

当我运行代码时，我得到以下结果:

plt.savefig(filenamee, dpi=600)

ValueError: cannot convert float NaN to integer

类似于文件中的列，

col1           col2              col3
3.39895E-12    52459.7796644
3.62529E-12    52461.7358623
3.67719E-12    52501.6052951
2.26977E-11    56340.081624
3.38851E-11    53574.1580939     53574.1580939

当我从代码中删除刻度时，一切都会正常......但我的图表中需要刻度。我该如何解决这个问题？

Answer 1

我找到了解决方案。问题根源是 matplotlib 库的版本。我认为这是一种错误。为了解决这个问题，您必须使用下面的终端命令更新 matplotlib_venn 库。

pip install --upgrade matplotlib_venn