I want to remove a certain keywords or string in a column from pandas dataframe.
The dataframe df
looks like this:
YEAR WEEK
2019 WK-01
2019 WK-02
2019 WK-03
2019 WK-14
2019 WK-25
2020 WK-06
2020 WK-07
I would like to remove WK-
and 0
from the WEEK
column so that my output will looks like this:
YEAR WEEK
2019 1
2019 2
2019 3
2019 14
2019 25
2020 6
2020 7
You can try:
df['WEEK'] = df['WEEK'].str.extract('(\d*)$').astype(int)
Output:
YEAR WEEK
0 2019 1
1 2019 2
2 2019 3
3 2019 14
4 2019 25
5 2020 6
6 2020 7
Shave off the first three characters and convert to int.
df['WEEK'] = df['WEEK'].str[3:].astype(int)
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