Python条形图

Question

下面是我用来生成条形图的代码，我想在图上方显示相应的值：

import numpy as np
import folium
import pandas as pd
import matplotlib.pyplot as plt
from numpy.ma.bench import xl
from wordcloud import WordCloud,STOPWORDS
import matplotlib as mp
import seaborn as sns

df=pd.read_csv("Topic_Survey_Assignment.csv",index_col=0) # reading csv file
df.sort_values("Very interested", ascending = False)
df_p=(df/2233)*100
df_p=round(df_p,2)
xlist=[]
ylist=[]
c=["#5cb85c","#5bc0de","#d9534f"]
a=df_p.plot(kind='bar',figsize=(20,8),color=c)     # plotting bar plot
plt.xlabel('Subjects',fontsize=14)
plt.ylabel('Percentage of People',fontsize=14)
plt.title('Data Science Statistics',fontsize=20)
plt.legend(fontsize=14)

plt.show(a)
print(xlist)

绘制图像

Answer 1

您可以像这样在条形图中添加注释：

for p in ax.patches:
    ax.annotate(str(p.get_height()), (p.get_x() + 0.08, p.get_height()), va='bottom', ha='center')

以下是随机生成的数据的示例：

# Generate sample data
c=["#5cb85c","#5bc0de","#d9534f"]
fig, ax = plt.subplots()
df_p.plot(ax = plt.gca(), kind='bar',figsize=(12,8),color=c)     # plotting bar plot
plt.xlabel('Subjects',fontsize=14)
plt.ylabel('Percentage of People',fontsize=14)
plt.title('Data Science Statistics',fontsize=20)
plt.legend(fontsize=14)
plt.tight_layout()

for p in ax.patches:
    ax.annotate(str(p.get_height()), (p.get_x()+0.08, p.get_height()),
                va='bottom', ha='center', weight='bold')