*在python 3.11.2、pandas 2.0.0、matplotlib 3.7.1、seaborn 0.12.2中测试

• 应该注意的是，OP中的图是一组条形图，这就是为什么只有一个刻度。
• 为了使条形图具有其各自百分比值的高度，计算并添加一个包含百分比值的新列，用新列绘制条形图，并将实际值传递给.bar_label中的labels=参数。

导入和DataFrame

import pandas as pd
import matplotlib.ticker as tkr
import matplotlib.pyplot as plt
import seaborn as sns

# test dataframe
data = {'Website': [40], 'Twitter': [40], 'Facebook': [40], 'Instagram': [40], 'Youtube': [40], 'Linkedin': [33], 'Tiktok': [17]}
df = pd.DataFrame(data, index=['İlgili Sosyal Medya Hesapları'])

# transpose df from a wide to a long form
df = df.T

# add a percent column
df['per'] = df.div(df.sum()).mul(100).round(2)

df

İlgili Sosyal Medya Hesapları   per
Website                               40  16.0
Twitter                               40  16.0
Facebook                              40  16.0
Instagram                             40  16.0
Youtube                               40  16.0
Linkedin                              33  13.2
Tiktok                                17   6.8

使用pandas.DataFrame.plot与kind='bar'绘图

# plot percent column 
ax = df.plot(kind='bar', y='per', rot=0, figsize=(10, 7), ylabel='', legend=False)

# add the annotations; there's only 1 container of 7 artists
# iterating through the containers is only necessary for grouped or stacked bars, which have multiple containers
ax.bar_label(ax.containers[0], labels=df['İlgili Sosyal Medya Hesapları'].replace(0, ''), label_type='center', fontweight='bold', color='white', fontsize=10)

ax.set_title("İstanbul'daki Belediyelerin Sosyal Medya Kullanımı", fontsize=11, fontweight=0, color="black", loc="center")

ax.set_ylabel("İldeki Tüm Belediyeler İçinde Yüzde (n=40)", fontsize= 10)
ax.set_xlabel(df.columns[0], fontsize= 10)

ax.yaxis.set_major_formatter(tkr.PercentFormatter())

ax.tick_params(axis='both', which='major', labelsize=8)
_ = ax.set_ylim(0, 100)

使用seaborn.barplot绘图

plt.figure(figsize=(10, 7))

# plot df, but the index must be reset
ax = sns.barplot(data=df.reset_index(), x='index', y='per')

ax.bar_label(ax.containers[0], labels=df['İlgili Sosyal Medya Hesapları'].replace(0, ''), label_type='center', fontweight='bold', color='white', fontsize=10)

ax.set_title("İstanbul'daki Belediyelerin Sosyal Medya Kullanımı", fontsize=11, fontweight=0, color="black", loc="center")

ax.set_ylabel("İldeki Tüm Belediyeler İçinde Yüzde (n=40)", fontsize= 10)
ax.set_xlabel(df.columns[0], fontsize= 10)

ax.yaxis.set_major_formatter(tkr.PercentFormatter())

ax.tick_params(axis='both', which='major', labelsize=8)
_ = ax.set_ylim(0, 100)

注意事项

• 根据从注解添加到OP的其他信息进行更新，其中百分比是根据特定值n=40计算的，使用以下内容计算'per'列。
• 前面代码中的其他内容都不需要更改。

# an arbitrary value
n = 40
df['per'] = df.div(n, axis=0).mul(100).round(2)

# or

# the max value in the column
df['per'] = df.div(df.iloc[:, 0].max(), axis=0).mul(100).round(2)

İlgili Sosyal Medya Hesapları    per
Website                               40  100.0
Twitter                               40  100.0
Facebook                              40  100.0
Instagram                             40  100.0
Youtube                               40  100.0
Linkedin                              33   82.5
Tiktok                                17   42.5

要显示堆叠条形图中每个条形顶部的百分比值，可以使用matplotlib提供的bar_label函数。

for container in ax.containers:
    ax.bar_label(container, labels=[f'{h:.0f}%' if h > 0 else '' for h in container.datavalues], label_type='edge')

完整代码：

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import matplotlib.ticker as mtick

plt.figure(figsize=(18,11),dpi=100)
sns.set_theme (style="whitegrid", palette="tab20b")

x_ekseni= ['İlgili Sosyal Medya Hesapları']
Website= [40]
Twitter= [40]
Facebook= [40]
Instagram= [40]
Youtube= [40]
Linkedin= [33]
Tiktok= [17]

index=x_ekseni

df = pd.DataFrame({'Website': Website,
               'Twitter': Twitter,
               'Facebook': Facebook,
               'Instagram': Instagram,
               'Youtube': Youtube,
               'Linkedin': Linkedin,
               'Tiktok': Tiktok}, index=index)

ax = df.plot.bar(stacked=False, edgecolor='white', width=2.5, linewidth=0.5)

for container in ax.containers:
    ax.bar_label(container, labels=[f'{h:.0f}%' if h > 0 else '' for h in container.datavalues], label_type='edge')

plt.title("İstanbul'daki Belediyelerin Sosyal Medya Kullanımı", fontsize=11, fontweight=0, color="black", loc="center")

ax.set_ylabel("İldeki Tüm Belediyeler İçinde Yüzde (n=40)", fontsize=10)

ax.yaxis.set_major_formatter(mtick.PercentFormatter())
plt.xticks(rotation=0, fontsize=8)
plt.yticks(rotation=0, fontsize=8)
plt.ylim(0, 100)

ax.legend(frameon=True, fontsize=8)

plt.show()