pandas 在熊猫中格式化辅助 y 轴
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formatting secondary y axis in pandas
提问by dreamwalker
I am plotting a pandas DataFrame with several columns as below:
我正在绘制一个包含以下几列的 Pandas DataFrame：
fig, ax = py.subplots(figsize=(11.7, 8.3))
df.plot(ax=ax, secondary_y=[A])
I can format the primary yaxis with a command as below:
我可以使用如下命令格式化主 yaxis：
ax.yaxis.set_major_formatter(FormatStrFormatter('%d days'))
How can I apply formatting to the secondary Y-axis (the one that displays on the right)?
如何将格式应用于辅助 Y 轴（显示在右侧的轴）？
采纳答案by joris
You can access the secondary ax with ax.right_ax. See the pandas docs on this: http://pandas.pydata.org/pandas-docs/stable/visualization.html#selective-plotting-on-secondary-y-axis.
So you can do like this:
您可以使用 访问辅助斧头ax.right_ax。请参阅Pandas文档：http: //pandas.pydata.org/pandas-docs/stable/visualization.html#selective-plotting-on-secondary-y-axis。
所以你可以这样做：
ax.right_ax.yaxis.set_major_formatter(FormatStrFormatter('%d days'))
Using matplotlib, you can also access it as ax.twinx()
使用 matplotlib，您还可以将其作为 ax.twinx()
