使用pandas从单个列分组另一列来绘制三重条形图

Question

This is my dataset.

          Country                 Type  Disaster Count
0     CHINA P REP  Industrial Accident             415
1     CHINA P REP   Transport Accident             231
2     CHINA P REP                Flood             175
3           INDIA   Transport Accident             425
4           INDIA                Flood             206
5           INDIA                Storm             121
6   UNITED STATES                Storm             348
7   UNITED STATES   Transport Accident             159
8   UNITED STATES                Flood              92
9     PHILIPPINES                Storm             249
10    PHILIPPINES   Transport Accident              84
11    PHILIPPINES                Flood              71
12      INDONESIA   Transport Accident             136
13      INDONESIA                Flood             110
14      INDONESIA     Seismic Activity              77

I would like to make a triple bar chart and the label is based on the column 'Type'. I would also like to group the bar based on the column 'Country'.

I have tried using (with df as the DataFrame object of the pandas library),

df.groupby('Country').plot.bar()

but the result came out as multiple bar charts representing each group in the 'Country' column.

The expected output is similar to this:

What are the codes that I need to run in order to achieve this graph?

Answer 1

There are two ways -

df.set_index('Country').pivot(columns='Type').plot.bar()

df.set_index(['Country','Type']).plot.bar()