python - matplot lib "fatal IO error 25 (Inappropriate ioctl for device) on X server "localhost :10. 0“

Question

我将设备监视脚本作为应该永远运行的后台进程运行。但是，该过程在24小时后因错误而被终止。

XIO:  fatal IO error 25 (Inappropriate ioctl for device) on X server "localhost:10.0"^M
257706       after 507 requests (507 known processed) with 5 events remaining.^M
257707 0.4.38,23): recv 'x01159454   r28 

我正在使用matplotlib绘制图形，这是我第一次使用此lib。
由于错误表示X服务器问题，因此我认为它与matplot lib有关，因为它是纯telnet脚本，因此脚本中任何地方都没有X服务器的作用

即使使用matplot lib，我的目标也是将图形另存为png图像。

以下是我的matplot lib代码，请查看是否有明显错误。

 15 plt.ioff()
 16
 17 def plot_cpu_utilization_graphs(df):
 18     plt.clf()
 19     column_name = 'CPU'
 20     #df = df[[column_name, 'timestamp', 'ip']]
 21     max_value = df[column_name].max()
 22     if max_value < 100:
 23          max_value = 100
 24     min_value = df[column_name].min()
 25     if min_value > 0:
 26         min_value = 0
 27     start_idx = df['timestamp'].iloc[0]
 28     end_idx = df['timestamp'].iloc[-1]
 29     time_series = pandas.DatetimeIndex(freq='20T', start=start_idx, end=end_idx)
 30     y_axes_series = range(int(min_value), int(max_value), 10)
 31     #ax = df.groupby('ip').plot(x='timestamp', y='CPU')
 32     fig, ax = plt.subplots()
 33     labels = []
 34     for key, grp in df.groupby(['ip']):
 35         ax = grp.plot(x='timestamp', y='CPU', ax=ax )
 36         labels.append(key)
 37     lines, _ = ax.get_legend_handles_labels()
 38     lgd = ax.legend(lines, labels, loc='upper center', bbox_to_anchor=(-.25, 1))
 39     ax.set_ylabel("CPU")
 40     ax.set_xlabel("Time")
 41     ax.set_ylim(min_value, max_value)
 42     #ax.set_xlim(time_series[0], time_series[-1])
 43     plt.title("CPU STATS")
 44     fig.savefig('CPUStats', bbox_extra_artists=(lgd,), bbox_inches='tight')



 74 def reboot_count(df):
 75     plt.clf()
 76     plt.cla()
 77     sf = df[df.Rebooted][['ip', 'Rebooted']].groupby(['ip', 'Rebooted']).agg(len)
 78     if not sf.empty:
 79         new_df = pandas.DataFrame({"ip":sf.index.levels[0], "Reboot Count":sf.values})
 80         p = new_df.plot(kind='bar', x='ip', y='Reboot Count', color='grey')
 81
 82         ax = p.axes
 83         for tick in ax.get_xticklabels():
 84            tick.set_rotation(15)
 85         ax.set_ylabel("Reboot Count")
 86         ax.set_xlabel("IP")
 87         #ax.legend().remove()
 88         plt.title(" REBOOT COUNTS")
 89         plt.savefig('Reboot Counts')
 90     else:
 91         print "No Data Present for Graphs"

Answer 1

我有同样的错误。该错误归因于matplotlib使用的后端(您以非交互方式运行它)

尝试

import matplotlib
matplotlib.use('Agg') 

参见 https://matplotlib.org/faq/howto_faq.html