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Updated fill_na_rows function in clean_data.py #24

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Updated fill_na_rows function in clean_data.py #24

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4 changes: 2 additions & 2 deletions quickda/clean_data.py
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Original file line number Diff line number Diff line change
Expand Up @@ -42,7 +42,7 @@ def fill_na_rows(data):
# Retrieve the list of columns having nulls and interpolate for each column
na_columns = df.columns[df.isna().any()].tolist()
for column in na_columns:
df[column] = df[column].interpolate(method='pad', limit_direction='forward')
df[column] = df[column].interpolate(method='linear', limit_direction='both')

return df

Expand Down Expand Up @@ -185,4 +185,4 @@ def clean(data, method="default", columns=[], dtype="numeric", to_replace="", va

except Exception as e:
print(e)
return data
return data