/Python/Pandas group by multiple columns and count

Pandas group by multiple columns and count

Pandas group by multiple columns and count

df.groupby(['col1', 'col2']).size() 
   .sort_values(ascending=False) 
   .reset_index(name='count')

0

Source: stackoverflow.com

Similar codes

1 vote97 views2 answers
Convert timestamp to period pandas
Python
0 vote112 views1 answer
Django pass list of fields to values
Python Django
3 votes92 views3 answers
Requests download image
Python
0 vote132 views1 answer
Django form label in template
Python Django
0 vote97 views1 answer
How to convert a axis label to non scientific notation in matploltlib
Python
0 vote106 views1 answer
Find_element_by_xpath pythin
Python
0 vote102 views1 answer
How to set and run flask app on terminal
Python
0 vote114 views1 answer
Mobile number regex python
Python
0 vote94 views1 answer
How to add 30 minutes in datetime column in pandas
Python
1 vote106 views1 answer
Stop procedure python
Python

Share