pandas 将数据框绘制为多个条形图 [英] pandas plot dataframe as multiple bar charts

问题描述

这是我的熊猫数据框df:

          ab             channel   booked
0    control             book_it     466
1    control          contact_me     536
2    control             instant     17
3  treatment             book_it     494
4  treatment          contact_me     56
5  treatment             instant     22

我想绘制3组条形图(根据channel):

每个频道的

: 地块控制预定值与治疗预定值.

因此，我应该在3个组中得到6个条形图，其中每个组都有控制和治疗预定值.

到目前为止，我只能预定，但不能按ab分组:

ax = df_conv['booked'].plot(kind='bar',figsize=(15,10), fontsize=12)
ax.set_xlabel('dim_contact_channel',fontsize=12)
ax.set_ylabel('channel',fontsize=12)
plt.show()

这是我想要的(仅显示4，但这是要点):

解决方案

旋转数据框，使控制值和处理值在单独的列中.

df.pivot(index='channel', columns='ab', values='booked').plot(kind='bar')

This is my pandas dataframe df:

          ab             channel   booked
0    control             book_it     466
1    control          contact_me     536
2    control             instant     17
3  treatment             book_it     494
4  treatment          contact_me     56
5  treatment             instant     22

I want to plot 3 groups of bar chart (according to channel):

for each channel: plot control booked value vs treatment booked value.

hence i should get 6 bar charts, in 3 groups where each group has control and treatment booked values.

SO far i was only able to plot booked but not grouped by ab:

ax = df_conv['booked'].plot(kind='bar',figsize=(15,10), fontsize=12)
ax.set_xlabel('dim_contact_channel',fontsize=12)
ax.set_ylabel('channel',fontsize=12)
plt.show()

This is what i want (only show 4 but this is the gist):

解决方案

Pivot the dataframe so control and treatment values are in separate columns.

df.pivot(index='channel', columns='ab', values='booked').plot(kind='bar')

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