向Seaborn因子p添加数据标签

Question

我想在Seaborn生成的因子图中添加数据标签。下面是一个例子：

import pandas as pd
from pandas import Series, DataFrame
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
%matplotlib inline

titanic_df = pd.read_csv('train.csv')
sns.factorplot('Sex',data=titanic_df,kind='count')

如何将“count”值添加到图表上每个栏的顶部？

Answer 1

你可以做些更简单的事

plt.figure(figsize=(4, 3))
plot = sns.catplot(x='Sex', y='count', kind='bar', data=titanic_df)

# plot.ax gives the axis object
# plot.ax.patches gives list of bars that can be access using index starting at 0

for i, bar in enumerate(plot.ax.patches):
    h = bar.get_height()
    plot.ax.text(
        i, # bar index (x coordinate of text)
        h+10, # y coordinate of text
        '{}'.format(int(h)),  # y label
        ha='center', 
        va='center', 
        fontweight='bold', 
        size=14)