如何在 Python pandas DataFrame 中对列值进行切片
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时间：2020-09-14 05:10:26 来源:igfitidea点击:
How to slice column values in Python pandas DataFrame
提问by dsk
I have a dataframe like this-
我有一个这样的数据框-
element id year month days tmax tmin
0 MX17004 2010 1 d1 NaN NaN
1 MX17004 2010 1 d10 NaN NaN
2 MX17004 2010 1 d11 NaN NaN
3 MX17004 2010 1 d12 NaN NaN
4 MX17004 2010 1 d13 NaN NaN
where I want to further break days column like this **
我想进一步打破这样的日子专栏**
days
1
10
11
12
13
** I have tried a couple of ways, but not successful in getting the output. Can someone please help or some clue?
** 我尝试了几种方法，但没有成功获得输出。有人可以帮忙或提供一些线索吗？
回答by YOBEN_S
By using strslice
通过使用str切片
df.days=df.days.str[1:]
df
Out[759]:
element id year month days tmax tmin
0 0 MX17004 2010 1 1 NaN NaN
1 1 MX17004 2010 1 10 NaN NaN
2 2 MX17004 2010 1 11 NaN NaN
3 3 MX17004 2010 1 12 NaN NaN
4 4 MX17004 2010 1 13 NaN NaN
回答by Scott Boston
Use extractwith regex:
extract与正则表达式一起使用：
df['days'] = df.days.str.extract('d(\d+)', expand=False)
print(df)
Output:
输出：
element id year month days tmax tmin
0 0 MX17004 2010 1 1 NaN NaN
1 1 MX17004 2010 1 10 NaN NaN
2 2 MX17004 2010 1 11 NaN NaN
3 3 MX17004 2010 1 12 NaN NaN
4 4 MX17004 2010 1 13 NaN NaN
