Pandas how to create a new column by seleting correct values from origianl column?
Question:
How to create a new column(C) by dynamic select the value from column(B)?
For example as blow, if column B’s value bigger than 3 than put than into new column(C)
Original DataFrame
A B
0 a 2
1 b 1
2 c 4
3 d 9
Expect output
A B C
0 a 2 4/9
1 b 1 4/9
2 c 4 4/9
3 d 9 4/9
Kindly remind that: each rows of column(C) are the same. 4 & 9 are selected and splited them with ‘/’ (Should be string of course)
Answers:
If need join by / all values of B column greater like 3 by Series.gt use:
df['C'] = '/'.join(df.loc[df.B.gt(3), 'B'].astype(str))
print (df)
A B C
0 a 2 4/9
1 b 1 4/9
2 c 4 4/9
3 d 9 4/9
How to create a new column(C) by dynamic select the value from column(B)?
For example as blow, if column B’s value bigger than 3 than put than into new column(C)
Original DataFrame
A B
0 a 2
1 b 1
2 c 4
3 d 9
Expect output
A B C
0 a 2 4/9
1 b 1 4/9
2 c 4 4/9
3 d 9 4/9
Kindly remind that: each rows of column(C) are the same. 4 & 9 are selected and splited them with ‘/’ (Should be string of course)
If need join by / all values of B column greater like 3 by Series.gt use:
df['C'] = '/'.join(df.loc[df.B.gt(3), 'B'].astype(str))
print (df)
A B C
0 a 2 4/9
1 b 1 4/9
2 c 4 4/9
3 d 9 4/9