如何加载和转换数据以绘制水平堆叠条形图？

选项1：'Party'作为y轴

• OP的使用results和category_names数据

import pandas as pd
import matplotlib.pyplot as plt

# plt configuration parameters
plt.style.use('seaborn')
plt.rcParams['figure.figsize'] = (16.0, 10.0)

# setup dataframe using the dict provided in the OP
df = pd.DataFrame(results, index=category_names)

# display(df)
        Abbey  Albrighton  Alveley & Claverley  Bagley  Battlefield  Bayston Hill, Column & Sutton  Belle Vue
Labour     16           0                    0      30           34                             53         43
LD         56           0                   25      30            0                              4         28
Indep       4          32                    0       0            0                              3          0
Green       0           0                    0       0            9                              7          5
Tory       24          68                   75      40           57                             33         24

# plot 
ax = df.plot.barh(stacked=True, cmap='tab10', figsize=(16, 10))

# annotations:
for p in ax.patches:
    left, bottom, width, height = p.get_bbox().bounds
    if width > 0:
         ax.annotate(f'{width:0.0f}', xy=(left+width/2, bottom+height/2), ha='center', va='center')

选项2：'Ward'作为y轴

• 使用pandas.DataFrame.T以交换Index和Columns
  • 'Ward'现在将成为索引'Party'并将成为列

# using df from Option 1

# transpose df so Party is the in the columns and Ward is the index
dft = df.T

# display(dft)
                               Labour  LD  Indep  Green  Tory
Abbey                              16  56      4      0    24
Albrighton                          0   0     32      0    68
Alveley & Claverley                 0  25      0      0    75
Bagley                             30  30      0      0    40
Battlefield                        34   0      0      9    57
Bayston Hill, Column & Sutton      53   4      3      7    33
Belle Vue                          43  28      0      5    24

# plot
ax = dft.plot.barh(stacked=True, figsize=(16, 10))

plt.legend(loc='center left', bbox_to_anchor=(1.0, 0.5))

# annotations:
for p in ax.patches:
    left, bottom, width, height = p.get_bbox().bounds
    if width > 0:
         ax.annotate(f'{width:0.0f}', xy=(left+width/2, bottom+height/2), ha='center', va='center')