pandas dataframe map

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11 Jun 2019
1note: u can assigne values in each of the common values in the dataframe 
3df['new_coloum'] = df['coloum'].map({'value_1':1,'value_2':0})
24 Apr 2016
1df.applymap(lambda x: x**2)
17 Jun 2019
1>>>{'cat': 'kitten', 'dog': 'puppy'})
20   kitten
31    puppy
42      NaN
53      NaN
6dtype: object
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