get dummies pandas

1note:
2dummies = pd.get_dummies(df[['column_1']], drop_first=True)
3df = pd.concat([df.drop(['column_1'],axis=1), dummies],axis=1)
4
5
6note:for more that one coloum keep ading in the list 
7dummies = pd.get_dummies(df[['column_1', 'column_2','column_3']], drop_first=True)
8df = pd.concat([df.drop(['column_1', 'column_1'],axis=1), dummies],axis=1)
9

1note:
2dummies = pd.get_dummies(df[['column_1']], drop_first=True)
3
4note:for more that one coloum keep ading in the list 
5dummies = pd.get_dummies(df[['column_1', 'column_2','column_3']], drop_first=True)

1>>> s = pd.Series(list('abca'))
2
3>>> pd.get_dummies(s)
4   a  b  c
50  1  0  0
61  0  1  0
72  0  0  1
83  1  0  0
9

1df = pd.get_dummies(df, columns=['type'])

1>>> pd.get_dummies(pd.Series(list('abc')), dtype=float)
2     a    b    c
30  1.0  0.0  0.0
41  0.0  1.0  0.0
52  0.0  0.0  1.0
6

1>>> pd.get_dummies(pd.Series(list('abcaa')), drop_first=True)
2   b  c
30  0  0
41  1  0
52  0  1
63  0  0
74  0  0
8