# Integer values in whylogs frequent_items show as floats (1.000000)

## The problem

Logging a pandas DataFrame with an int64 column via why.log, then reading `frequent_items/frequent_strings`, returns values like '1.000000' instead of '1'. The column dtype is int64; the stringified frequent items show floats.

## The verified fix

Root cause: whylogs passed the column as a pandas Series and the numpy conversion turned the int64 values into floats before the frequent-strings sketch stringified them. Fixed by PR #794 (maintainer confirmed). Upgrade to a whylogs release containing that fix.

Source: https://github.com/whylabs/whylogs/issues/793