or condition in pandas
df1 = df[(df.a != -1) & (df.b != -1)]or condition in pandas
df1 = df[(df.a != -1) & (df.b != -1)]case statement in pandas
# If the row value in column 'is_blue' is 1
# Change the row value to 'Yes'
# otherwise change it to 'No'
df['is_blue'] = df['is_blue'].apply(lambda x: 'Yes' if (x == 1) else 'No')
# or you can use np.where
df['is_blue'] = np.where(df['is_blue'] == 1, 'Yes', 'No')
# You can also use mapping to accomplish the same result
# Warning: Mapping only works once on the same column creates NaN's otherwise
df['is_blue'] = df['is_blue'].map({0: 'No', 1: 'Yes'})Copyright © 2021 Codeinu
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