根据列值复制数据框的特定行
嗨,我有以下数据框
weather day month activity
sunny Monday April go for cycling
raining Friday December stay home
我想要的是在不考虑活动列的情况下将行复制 5 次
所以输出应该是
weather day month activity
sunny Monday April go for cycling
sunny Monday April
sunny Monday April
sunny Monday April
sunny Monday April
raining Friday December stay home
raining Friday December
raining Friday December
raining Friday December
raining Friday December
raining Friday December
回答
对重复行使用Index.repeatwith DataFrame.loc,然后用with替换重复activity的行:Series.maskIndex.duplicated
df = df.loc[df.index.repeat(5)]
df['activity'] = df['activity'].mask(df.index.duplicated(), '')
df = df.reset_index(drop=True)
print (df)
weather day month activity
0 sunny Monday April go for cycling
1 sunny Monday April
2 sunny Monday April
3 sunny Monday April
4 sunny Monday April
5 raining Friday December stay home
6 raining Friday December
7 raining Friday December
8 raining Friday December
9 raining Friday December