[英]creating new column from columns whose name contains a specific string
For the columns with name containing a specific string Time
, I would like to create a new column with the same name.对于名称包含特定字符串
Time
的列,我想创建一个具有相同名称的新列。 I want for each item of Pax_cols (if there are more than one) to update the column with the sum with the column Temp
.我希望 Pax_cols 的每一项(如果有多个)用
Temp
列的总和来更新列。
data={'Run_Time':[60,20,30,45,70,100],'Temp':[10,20,30,50,60,100], 'Rest_Time':[5,5,5,5,5,5]}
df=pd.DataFrame(data)
Pax_cols = [col for col in df.columns if 'Time' in col]
df[Pax_cols[0]]= df[Pax_cols[0]] + df["Temp"]
This is what I came up with, if Pax_cols has only one values, but it does not work.这就是我想出的,如果 Pax_cols 只有一个值,但它不起作用。
Expected output:预期 output:
data={'Run_Time':[70,40,60,95,130,200],'Temp':[10,20,30,50,60,100], 'Rest_Time':[15,25,35,55,65,105]}
You can use:您可以使用:
# get columns with "Time" in the name
cols = list(df.filter(like='Time'))
# ['Run_Time', 'Rest_Time']
# add the value of df['Temp']
df[cols] = df[cols].add(df['Temp'], axis=0)
output: output:
Run_Time Temp Rest_Time
0 70 10 15
1 40 20 25
2 60 30 35
3 95 50 55
4 130 60 65
5 200 100 105
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