pandas DataFrame如何混合不同比例的条形图和线条图

Question

我想让大熊猫覆盖条形图和线条图.这两个系列有不同的比例,所以我希望将值绘制在两个"y"轴上.我不能让熊猫一起显示"酒吧"和"线"图.

from pandas import DataFrame

df_eg = DataFrame()
df_eg=DataFrame(data=[(1212,231),(9283,624),(11734,943),(12452,1037),(16766,1037),(120,113)],index=[2014,2015,2016,2017,2018,2019],columns=["Release","Hold"])

这给出了DataFrame

       Release  Hold
2014    1212    231
2015    9283    624
2016    11734   943
2017    12452   1037
2018    16766   1037
2019    120     113

现在,如果我尝试将"释放"绘制为条形图并将"保持"列绘制为具有双轴的线,则仅获得该线.

fig, ax = plt.subplots()
ax2 = ax.twinx()
plt.hold(False)
df_eg["Release"].plot(ax=ax,kind="bar")
df_eg["Hold"].plot(ax=ax2, style='r-', secondary_y=True)
ax.legend(loc='best')

但是,如果我将两者都绘制为线条.两个值都显示出来.我想知道如何使条形图和线条出现在同一个图上.我正在使用pandas版本'0.16.2'和matplotlib版本'1.3.1'.

fig, ax = plt.subplots()
ax2 = ax.twinx()
plt.hold(False)
df_eg["Release"].plot(ax=ax,kind="line")
df_eg["Hold"].plot(ax=ax2, style='r-', secondary_y=True)
ax.legend(loc='best')

Answer 1

这会解决您的问题吗？

fig, ax = plt.subplots()
ax2 = ax.twinx()
ax.bar(df_eg.index, df_eg["Release"], color=(190/255,190/255,190/255,0.7), label='Release')
ax2.plot(df_eg.index, df_eg["Hold"], color='green', label='Hold')
ax.set_xticklabels(df_eg.index)
ax.legend(loc='best')

Answer 2

这完全可以用pandas来完成，包括标签和图例：

import pandas as pd    # v 1.1.3

df = pd.DataFrame(data=[(1212,231), (9283,624), (11734,943), (12452,1037), (16766,1037), (120,113)],
                  index=[2014, 2015, 2016, 2017, 2018, 2019], columns=['Release', 'Hold'])

ax =  df.plot.bar(y='Release', ylabel='Release', figsize=(8, 5))
df.plot(y='Hold', c='k', ax=ax, use_index=False, secondary_y=True, mark_right=False)
ax.right_ax.set_ylabel('Hold');