pandas dataframe from dict
data = {'col_1': [3, 2, 1, 0], 'col_2': ['a', 'b', 'c', 'd']}
pd.DataFrame.from_dict(data)
pandas dataframe from dict
data = {'col_1': [3, 2, 1, 0], 'col_2': ['a', 'b', 'c', 'd']}
pd.DataFrame.from_dict(data)
maping value to data in pandas dataframe
note: u can assigne values in each of the common values in the dataframe
df['new_coloum'] = df['coloum'].map({'value_1':1,'value_2':0})
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