Python PANDAS 从 df 中删除一系列行
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PANDAS drop a range of rows from df
提问by beets
I want to drop m number of rows from the bottom of a data frame. It is integer indexed (with holes). How can this be done?
我想从数据框的底部删除 m 行。它是整数索引（带孔）。如何才能做到这一点？
pandas == 0.10.1 python == 2.7.3
大熊猫== 0.10.1 蟒== 2.7.3
采纳答案by HYRY
Use slice to select the part you want:
使用 slice 选择你想要的部分：
df[:-m]
If you want to remove some middle rows, you can use drop:
如果要删除一些中间行，可以使用drop：
df.drop(df.index[3:5])
回答by user1827356
This should work
这应该工作
df.head(len(df) - m)
回答by Julia Cowper
an example where the range you want to drop is indexes between x and y which I have set to 0 and 10
您要删除的范围是 x 和 y 之间的索引的示例，我已将其设置为 0 和 10
selecting just the locations between 0 and 10 to see the rows to confirm before removing
仅选择 0 到 10 之间的位置以查看要在删除之前确认的行
x=0 # could change x and y to a start and end date
y=10
df.loc[x:y]
selecting the index
选择索引
df.loc[x:y].index
so to remove selection from dataframe
所以要从数据框中删除选择
df.drop(df.loc[x:y].index, inplace=True)
