向图例标签添加计数

import matplotlib.pyplot as plt
from collections import Counter

# 示例数据
categories = ['A', 'B', 'A', 'C', 'B', 'A']

# 计算每个类别的数量
counts = Counter(categories)

# 绘制条形图
plt.bar(categories, [1]*len(categories), tick_label=categories)

# 添加计数到图例标签
for i, category in enumerate(categories):
    plt.text(i, 1.1, str(counts[category]), ha='center')

plt.show()

import seaborn as sns
import matplotlib.pyplot as plt
from collections import Counter

# 示例数据
data = {'category': ['A', 'B', 'A', 'C', 'B', 'A']}
df = pd.DataFrame(data)

# 计算每个类别的数量
counts = Counter(df['category'])

# 绘制条形图
sns.barplot(x='category', y=1, data=df)

# 添加计数到图例标签
for i, category in enumerate(df['category'].unique()):
    plt.text(i, 1.1, str(counts[category]), ha='center')

plt.show()

import plotly.express as px
import pandas as pd
from collections import Counter

# 示例数据
data = {'category': ['A', 'B', 'A', 'C', 'B', 'A']}
df = pd.DataFrame(data)

# 计算每个类别的数量
counts = Counter(df['category'])

# 绘制条形图
fig = px.bar(df, x='category', y=1)

# 添加计数到图例标签
for category in df['category'].unique():
    fig.add_annotation(
        x=category,
        y=1.1,
        text=str(counts[category]),
        showarrow=False,
        xanchor='center'
    )

fig.show()