I would like to combine two columns in a new column.
Lets suppose I have:
Index A B
0 1 0
1 1 0
2 1 0
3 1 0
4 1 0
5 1 2
6 1 2
7 1 2
8 1 2
9 1 2
10 1 2
Now I would like to create a column C with the entries from A from Index 0 to 4 and from column B from Index 5 to 10. It should look like this:
Index A B C
0 1 0 1
1 1 0 1
2 1 0 1
3 1 0 1
4 1 0 1
5 1 2 2
6 1 2 2
7 1 2 2
8 1 2 2
9 1 2 2
10 1 2 2
Is there a python code how I can get this? Thanks in advance!
If Index
is an actual column you can use numpy.where
and specify your condition
import numpy as np
df['C'] = np.where(df['Index'] <= 4, df['A'], df['B'])
Index A B C
0 0 1 0 1
1 1 1 0 1
2 2 1 0 1
3 3 1 0 1
4 4 1 0 1
5 5 1 2 2
6 6 1 2 2
7 7 1 2 2
8 8 1 2 2
9 9 1 2 2
10 10 1 2 2
if your index is your actual index
you can slice your indices with iloc and create your column with concat.
df['C'] = pd.concat([df['A'].iloc[:5], df['B'].iloc[5:]])
print(df)
A B C
0 1 0 1
1 1 0 1
2 1 0 1
3 1 0 1
4 1 0 1
5 1 2 2
6 1 2 2
7 1 2 2
8 1 2 2
9 1 2 2
10 1 2 2
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