or condition in pandas
df1 = df[(df.a != -1) & (df.b != -1)]or condition in pandas
df1 = df[(df.a != -1) & (df.b != -1)]pandas where
In [20]: df
Out[20]:
A B C
0 1 2 1
1 2 3 0
2 3 4 0
3 4 5 1
# Note that df.C is a mask
# Note that this is np.where, not df.where. That is different.
In [21]: df['D'] = np.where(df.C, df.A, df.B)
In [22]: df
Out[22]:
A B C D
0 1 2 1 1
1 2 3 0 3
2 3 4 0 4
3 4 5 1 4Copyright © 2021 Codeinu
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