Add coverstion to numeric value before the aggregates #184
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rhunwicks
reviewed
Oct 17, 2025
| summary_df = pd.DataFrame(reported_summary_output.value["LivelihoodActivity"]) | ||
| for col in ["income", "expenditure", "kcals_consumed"]: | ||
| summary_df[col] = pd.to_numeric(summary_df[col], errors="coerce") | ||
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@girum-air Do we need to add .fillna(0) so that groupby().sum() below doesn't return nan?
Ensure numeric conversion fills NaN values with 0.
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…ed see HEA-780