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

0 vote113 views1 answer
List the contents of a package python
Python
0 vote118 views1 answer
Python get file ending
Python
5 votes160 views1 answer
How to lowercase list in python
Python
0 vote125 views3 answers
Python nc group variables
Python
7 votes120 views3 answers
Pandas convert date to string
Python
-1 vote174 views3 answers
Hello world in python 3
Python
1 vote166 views1 answer
Django update increment
Python Django
0 vote187 views1 answer
Floyd triangle python
Python
22 votes121 views1 answer
How to automatically copy an output to clipboard in python
Python
2 votes126 views1 answer
Python how to get the last element in a list
Python