Filling a resultant table with corresponding values (row and column) from another table

Question

I have this 2 tables below:

https://i.stack.imgur.com/e9Um6.png

Is there a library or some built-in function that fills up the second table matching row and columns from it, with the information on the first one?

Thanks!

Answer 1

In line with Nick ODell's suggestion, you can use DataFrame.pivot , as long as each combination of date and category is unique (because df.pivot does not support aggregation).

Assuming your column names are integers 0, 1, and 2, try:

# Arguments: index, columns, values
# fill NaN with 0 to match your expected output
df.pivot(0, 1, 2).fillna(0)