CODEWITHSUNDEEP
pythonpandasdataframe
Nilani Algiriyage
Nilani Algiriyage

Reputation: 35696

Get count of values across columns-Pandas DataFrame

I have a Pandas DataFrame like following:

               A              B              C
0   192.168.2.85   192.168.2.85  124.43.113.22
1  192.248.8.183  192.248.8.183   192.168.2.85
2  192.168.2.161            NaN  192.248.8.183
3   66.249.74.52            NaN  192.168.2.161
4            NaN            NaN   66.249.74.52

I want to get the count of a certain values across columns. So my expected output is something like:

IP          Count
192.168.2.85 3 #Since this value is there in all coulmns
192.248.8.183 3
192.168.2.161 2
66.249.74.52 2
124.43.113.22 1

I know how to this across rows, but doing this for columns is bit strange?Help me to solve this? Thanks.

Upvotes: 23

Views: 27154

Answers (2)

Vamshi G
Vamshi G

Reputation: 437

df['Counts'] = df[['col1','col2','col3']].groupby(['col1','col2','col3']).transform('count')

Upvotes: 2

waitingkuo
waitingkuo

Reputation: 93804

stack it first and then use value_counts:

In [14]: df.stack().value_counts()
Out[14]: 
192.248.8.183    3   
192.168.2.85     3   
66.249.74.52     2   
192.168.2.161    2   
124.43.113.22    1   
dtype: int64

Upvotes: 36

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