pandas plot dataframe as multiple bar charts

Question

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):

Stop harming Monica · Accepted Answer · 2016-02-07 02:42:39Z

24

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

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

answered Feb 7, 2016 at 2:42

Stop harming Monica

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2 Comments

jxn Over a year ago

How can i rotate the x axis values?

Stop harming Monica Over a year ago

@jxn Look at the docs for DataFrame.plot(). Passing rot=0 should do. If you are still in trouble ask another question.

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