[英]How can write text inside bars of a bar plot?
I need help to print the names in column "Complaint Type" inside each of the bars.我需要帮助打印每个栏内“投诉类型”列中的名称。
The below code plots bar chart with X=Borough
and Y=Count
下面的代码用
X=Borough
和Y=Count
绘制条形图
Kindly help me as there are three columns involved.请帮助我,因为涉及三列。
df1 = dict({'Borough':['BROOKLYN','QUEENS','MANHATTAN','BRONX','STATEN ISLAND','Unspecified'],
'Complaint Type':['Blocked Driveway','Blocked Driveway','Noise - Street/Sidewalk','Blocked
Driveway','Illegal Parking','Illegal Parking'],
'Count':[28148,31644,20550,12755,4886,1040]})
df2=pd.DataFrame(df1)
df2
Output: Output:
**Borough Complaint Type Count**
0 BROOKLYN Blocked Driveway 28148
1 QUEENS Blocked Driveway 31644
2 MANHATTAN Noise - Street/Sidewalk 20550
3 BRONX Blocked Driveway 12755
4 STATEN ISLAND Illegal Parking 4886
5 Unspecified Illegal Parking 1040
For Bar Plot:对于酒吧 Plot:
df2.plot(x ="Borough",y="Count",kind='bar',alpha=0.6,color='red',figsize=(7,7),title='Most frequent complaint type in each Borough')
plt.xlabel('Borough')
plt.ylabel('Count')
You can use plt.annotate
to display "Complaint Type".您可以使用
plt.annotate
显示“投诉类型”。
df2.plot(x ="Borough",y="Count",kind='bar',alpha=0.6,color='red',figsize=(7,7),
title='Most frequent complaint type in each Borough')
plt.xlabel('Borough')
plt.ylabel('Count')
for i in range(0, len(df2['Borough'])):
plt.annotate(str(df2['Complaint Type'][i]), xy=(i, (df2['Count'][i] / 2)),
ha='center', va='center', weight='bold', size=10)
Look at this post, too.也看看这个帖子。
Adding value labels on a matplotlib bar chart 在 matplotlib 条形图上添加值标签
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