pandas pivot table where the column contains a string with multiple catogeries

user_2776506 0
Viewed 270

I have a data in the form:

'cat'     'value'
a         1
a,b       2
a,b,c     3
b,c       2
b         1

which I would like to convert using a pivot table:

'a'  'b'  'c'
1
2    2
3    3    3
     2    2
     1

How do I perform this. If I use the pivot command:

df.pivot(columns= 'cat', values = 'value')

which yields this result

'a' 'a,b' 'a,b,c' 'b,c' 'b' 
1
     2
           3
                   2
                        1
pandas pivot-table python
2 Answers

You can use .explode() after transforming the string into a list, and then pivot it normally:

df['cat'] = df['cat'].str.split(',')
df = df.explode('cat').pivot_table(index=df.explode('cat').index,columns='cat',values='value')

This outputs:

cat a   b   c
0   1.0 NaN NaN
1   2.0 2.0 NaN
2   3.0 3.0 3.0
3   NaN 2.0 2.0
4   NaN 1.0 NaN

You can then reset, or rename the index if you wish for it to not be named cat.

user_118970070

Try with str.get_dummies and multiply the value column (then replace 0 with nan if necessary)

df['cat'].str.get_dummies(",").mul(df['value'],axis=0).replace(0,np.nan)

     a    b    c
0  1.0  NaN  NaN
1  2.0  2.0  NaN
2  3.0  3.0  3.0
3  NaN  2.0  2.0
4  NaN  1.0  NaN
user_98406370
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