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()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()how to add coloumn based on other column
metadata['class_pnemonia'] = metadata['class'].astype('category').map({0: 'HEALTHY ', 1: 'PNEUMONIA'})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()Adding a new column in pandas dataframe from another dataframe with different index
merge(left, right, how='left', on=None, left_on=None, right_on=None,
left_index=False, right_index=False, sort=True,
suffixes=('_x', '_y'), copy=True)insert new column to dataframe
group = np.random.randint(10, size=6)
df_new['Group'] = groupCopyright © 2021 Codeinu
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