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 vote138 views1 answer
Python enumerate to skip items
Python
0 vote145 views1 answer
Pixmap in python
Python
1 vote149 views1 answer
Python web parser
Python
0 vote109 views0 answer
Python
0 vote149 views1 answer
Wxpython mainloop
Python
0 vote148 views1 answer
For loop practice problems python
Python
108 votes156 views3 answers
Pandas dataframe column rename
Python
34 votes138 views3 answers
Download dataframe as csv
Python
0 vote169 views1 answer
Unable to locate package python-certbot-nginx
Python
0 vote146 views3 answers
Django prevent duplicate entries
Python