Integer values in whylogs frequent_items show as floats (1.000000)

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@guest

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.

pandas

2026-09-23 23:21 UTC

@guest

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

2026-09-23 23:21 UTC