Python 如何用重复数据绘制Seaborn的热图?
我有熊猫的数据框,想画一张热图,但我有重复的记录,seaborn不能处理重复的数据。我的数据帧:Python 如何用重复数据绘制Seaborn的热图?,python,pandas,seaborn,Python,Pandas,Seaborn,我有熊猫的数据框,想画一张热图,但我有重复的记录,seaborn不能处理重复的数据。我的数据帧: From To Distance 0 ABINGTON AMBLER 10.0 1 ABINGTON BERKS COUNTY 42.0 2 ABINGTON BRIDGEPORT 19.0 3 ABIN
From To Distance
0 ABINGTON AMBLER 10.0
1 ABINGTON BERKS COUNTY 42.0
2 ABINGTON BRIDGEPORT 19.0
3 ABINGTON BRYN ATHYN 6.0
4 ABINGTON BUCKS COUNTY 19.0
5 ABINGTON CHELTENHAM 4.0
6 ABINGTON CHESTER COUNTY 38.0
7 ABINGTON COLLEGEVILLE 30.0
8 ABINGTON CONSHOHOCKEN 16.0
9 AMBLER BERKS COUNTY 32.0
10 AMBLER BRIDGEPORT 12.0
11 AMBLER BRYN ATHYN 14.0
12 AMBLER BUCKS COUNTY 11.0
13 AMBLER CHELTENHAM 11.0
14 AMBLER CHESTER COUNTY 29.0
如何绘制热图?相反,拥有重复的数据(如您提供的数据)实际上有助于旋转,这基本上是制作热图所需的全部工作。除非我误解了你想要实现的目标
df_piv = df.pivot('From', 'To', 'Distance')
ax = sns.heatmap(df_piv)
plt.xticks(rotation=20)
将为您提供数据的热图,其中灰色框表示缺少的值
数据透视框如下所示
In [14]: df_piv.T
Out[15]:
From ABINGTON AMBLER
To
AMBLER 10.0 NaN
BERKS COUNTY 42.0 32.0
BRIDGEPORT 19.0 12.0
BRYN ATHYN 6.0 14.0
BUCKS COUNTY 19.0 11.0
CHELTENHAM 4.0 11.0
CHESTER COUNTY 38.0 29.0
COLLEGEVILL 30.0 NaN
CONSHOHOCKEN 16.0 NaN