I want to create a pivot table with users(rows), items(columns) and ratings (values). There are users that have rated many different items. I extract the data from a json file and when creating the pivot, I don't want to aggregate them.
import pandas as pd
with open('data.json', 'r') as file:
    lines = file.readlines()
    for line in lines:
    user = splitted[0]
    ratings = splitted[1]
    item = splitted[4]
    users.append(user)
    items.append(item)
    ratings.append(ratings)
df = pd.DataFrame({'Users': users,
                    'Items': items,
                    'Ratings': ratings})
The output of the dataframe is:
User  Item  Ratings
anna   A    2
anna   B    4
anna   C    3
chris  A    2
bob    D    1
And i want my pivot table to be like this:
       A  B  C  D
anna   2  4  3  -
chris  2  -  -  -
bob    -  -  -  1
When I run this, there is an error: "no numeric types to aggregate"
pivot = df.pivot_table(values = 'Ratings', index = 'Users', columns = 'Items')
And when running this, the error is: "index 502966764 is out of bounds for axis 0 with size 502966644"
pivot = df.pivot(values = 'Ratings', index = 'Users', columns = 'Items')
Could you give me any idea? Thank you in advance!
