使用 Pandas/matplotlib.pyplot 在 python 中绘制堆积条形图

Question

I am trying to create a stacked bar plots with each bar represent a state, and within each bar, there are three categories of sales orders by counts: Office supplies, Furniture, and Technology. if anyone can help one this, just getting started on visuals using python!

Answer 1

Use crosstab with DataFrame.plot.bar with stacked=True parameter:

df = pd.DataFrame({
        'Category':list('ffofofoftoof'),
        'State':list('kkcffccccccc')
})
print (df)
   Category State
0         f     k
1         f     k
2         o     c
3         f     f
4         o     f
5         f     c
6         o     c
7         f     c
8         t     c
9         o     c
10        o     c
11        f     c

df1 = pd.crosstab(df['State'], df['Category'])
print (df1)
Category  f  o  t
State            
c         3  4  1
f         1  1  0
k         2  0  0

df1.plot.bar(stacked=True)

Answer 2

Assuming you have stored the data in a pandas dataframe df - you can use pandas bar plot to achieve the desired result.

df.groupby(['State', 'Category'])['Category'].count().unstack().plot(kind='bar', stacked=True)

You can get more information about bar plot from pandas and matplotlib documentation.

Matplotlib stacked bar chart

Pandas bar chart