weightedcalcs

Directly works with pandas DataFrames and DataFrameGroupBy objects, enabling easy incorporation into existing data analysis workflows, as demonstrated in the ACS data example.

Raises errors when data contains null values, preventing inaccurate weighted calculations and ensuring reliability, a feature explicitly highlighted in the README.

Uces a simple Calculator class with methods like mean() and distribution(), offering a straightforward interface for common weighted stats without complex setup.

Supports essential weighted statistics including means, medians, quantiles, standard deviations, and distributions, covering most needs for survey and census data analysis.