Answers for "pandas dataframe add column based on other columns"

Add new column based on condition on some other column in pandas.

# np.where(condition, value if condition is true, value if condition is false)

df['hasimage'] = np.where(df['photos']!= '[]', True, False)
df.head()

Posted by: Guest on August-08-2021

how to add coloumn based on other column

metadata['class_pnemonia'] = metadata['class'].astype('category').map({0: 'HEALTHY ', 1: 'PNEUMONIA'})

Posted by: Guest on August-09-2021

add column to df from another df

# pre 0.24
feature_file_df['RESULT'] = RESULT_df['RESULT'].values
# >= 0.24
feature_file_df['RESULT'] = RESULT_df['RESULT'].to_numpy()

Posted by: Guest on May-29-2020

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