Pandas bins dummy

df['ageD'], bins = pd.qcut(df.iloc[:, 0], 2, retbins=True)
left = (df["age"].values <= bins[:,None]).T.astype(int)
dl = pd.DataFrame(left, columns=["(-inf, {}]".format(b) for b in bins])
dr = pd.DataFrame(1-left, columns=["({}, +inf)".format(b) for b in bins])
dout = pd.concat([pd.get_dummies(df), dl, dr], axis=1)

Source: stackoverflow.com

Pandas bins dummy

>>> dout
   age  ageD_[5, 30]  ageD_(30, 70]  (-inf, 5]  (-inf, 30]  (-inf, 70]  (5, +inf)  (30, +inf)  (70, +inf)
0    5             1              0          1           1           1          0           0           0
1   23             1              0          0           1           1          1           0           0
2   43             0              1          0           0           1          1           1           0
3   70             0              1          0           0           1          1           1           0
4   30             1              0          0           1           1          1           0           0

Source: stackoverflow.com

Similar codes

3 votes288 views2 answers
Python button click code
Python
0 vote181 views1 answer
Remove all occurences
Python
2 votes225 views4 answers
Utf-8 codec can't decode byte python
Python
0 vote198 views1 answer
Sqlalchemy filter between dates
Python
0 vote214 views1 answer
Concatenate dataframes using one column
Python
0 vote246 views1 answer
Get index of first true value numpy
Python
0 vote193 views1 answer
Django nested inlines
Python
0 vote230 views1 answer
Time complexity for random in python
Python
2 votes189 views1 answer
Discard vs remove python
Python
0 vote195 views1 answer
TemplateSyntaxError
Python