pandas.DataFrame去重

版权声明:诸葛老刘所有 https://blog.csdn.net/weixin_39791387/article/details/82851773

pandas.DataFrame 去重

去重的方式:

样本数据

In [1]: import pandas as pd

In [2]:  df = pd.DataFrame({'colA' : list('AABCA'), 'colB' : list('AABDA'),'col
   ...: C' : [100,100,30,50,20], 'colD': [100,100,60,80,50]})

In [3]: df
Out[3]:
  colA colB  colC  colD
0    A    A   100   100
1    A    A   100   100
2    B    B    30    60
3    C    D    50    80
4    A    A    20    50


1. 按全量字段去重

In [4]: df2 = df.drop_duplicates()

In [5]: df2
Out[5]:
  colA colB  colC  colD
0    A    A   100   100
2    B    B    30    60
3    C    D    50    80
4    A    A    20    50

2. 按指定字段去重

In [6]: df3 = df.drop_duplicates(['colA', 'colB']);df3
Out[6]:
  colA colB  colC  colD
0    A    A   100   100
2    B    B    30    60
3    C    D    50    80

如有解释不尽不处,请参阅官方文档

猜你喜欢

转载自blog.csdn.net/weixin_39791387/article/details/82851773
今日推荐