getting dummies and input them to pandas dataframe
note:
dummies = pd.get_dummies(df[['column_1']], drop_first=True)
df = pd.concat([df.drop(['column_1'],axis=1), dummies],axis=1)
note:for more that one coloum keep ading in the list
dummies = pd.get_dummies(df[['column_1', 'column_2','column_3']], drop_first=True)
df = pd.concat([df.drop(['column_1', 'column_1'],axis=1), dummies],axis=1)get dummies
import pandas as pd
import numpy as np
# dictionary
diff = pd.DataFrame({'R': ['a', 'c', 'd'],
'T': ['d', 'a', 'c'],
'S_': [1, 2, 3]})
print(pd.get_dummies(diff, prefix=['column1', 'column2']))get dummies pandas
>>> pd.get_dummies(pd.Series(list('abc')), dtype=float)
a b c
0 1.0 0.0 0.0
1 0.0 1.0 0.0
2 0.0 0.0 1.0python for dummies
A good book I guess, but kinda outdated now.get dummies pandas
>>> pd.get_dummies(pd.Series(list('abcaa')), drop_first=True)
b c
0 0 0
1 1 0
2 0 1
3 0 0
4 0 0Copyright © 2021 Codeinu
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