问题描述
我可能做错了，但我正在努力实现以下目标:
I might be doing something wrong but I'm struggling to achieve the below:
# plot bars and lines in the same figure, sharing both x and y axes.
df = some DataFrame with multiple columns
_, ax = plt.subplots()
df[col1].plot(kind='bar', ax=ax)
df[col2].plot(ax=ax, marker='o', ls='-')
ax.legend(loc='best')
我希望看到一个带有两者的图表和一些条形图和一条线.但是，我最后只是df[col2]的行， df[col1]的条形图不在图表上. df[col2]之前的内容似乎已被覆盖.
I expected to see a chart with both some bars and a line. However, what I end up with is only the line for df[col2], the bars from df[col1] are just not on the chart. Whatever is before df[col2] seem to have been overwritten.
我通过以下方法解决了这个问题:
I got around this with:
df[col1].plot(kind='bar', ax=ax, label=bar_labels)
ax.plot(df[col2], marker='o', ls='-', label=line_labels)
ax.legend(loc='best')
但是，这并不完美，因为我必须使用label标签，否则图例将不包含df[col2] ...
However, this isn't perfect as I had to use label tags otherwise legends will not included items for df[col2]...
外面有没有更优雅的解决方案，可以同时显示条形和线条?
**编辑**感谢@DizietAsahi-发现这是DatetimeIndex作为x值的问题.在Pandas提交了以下内容:
** Edit **Thanks to @DizietAsahi - Found out that this is a problem with DatetimeIndex as x-values. Filed the following at Pandas:
https://github.com/pydata/pandas/issues/10761# issuecomment-128671523
推荐答案
感谢@DizietAsahi-发现这是DatetimeIndex作为x值的问题.整数值与上面的@DizietAsahi的代码一起使用.
Thanks to @DizietAsahi - Found out that this is a problem with DatetimeIndex as x-values. Integer values work with @DizietAsahi's code above.
在Pandas提交了以下内容:
Filed the following at Pandas:
https://github.com/pydata/pandas/issues/10761# issuecomment-128671523
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