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)getting dummies for a column in pandas dataframe
note:
dummies = pd.get_dummies(df[['column_1']], drop_first=True)
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)pd.get_dummies
>>> s = pd.Series(list('abca'))
>>> pd.get_dummies(s)
a b c
0 1 0 0
1 0 1 0
2 0 0 1
3 1 0 0how to get dummies in a dataframe pandas
df = pd.get_dummies(df, columns=['type'])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
#this do dummie verable do a very intersting thing they turn calegorical
#variables in numerical like M and F they can 0 for M and 1 for F
pd.get_dummies(df.Gender)
F M
0 0 1
1 1 0
2 1 0
3 0 1
4 1 0
... ... ...
202 1 0
203 0 1
204 0 1
205 0 1
206 1 0
207 rows × 2 columnsCopyright © 2021 Codeinu
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