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Fixed str to int conversion issue #484

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Fixed str to int conversion issue #484

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2 changes: 1 addition & 1 deletion aif360/algorithms/preprocessing/optim_preproc_helpers/data_preproc_functions.py
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Original file line number Diff line number Diff line change
Expand Up @@ -10,7 +10,7 @@ def custom_preprocessing(df):
"""

# Group age by decade
df['Age (decade)'] = df['age'].apply(lambda x: x//10*10)
df['Age (decade)'] = df['age'].astype(int).apply(lambda x: x//10*10)
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Can we group integers or it is only feasible to group str?

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The 'age' had a String datatype due to which it was typecasted to integer and grouped as a decade.

# df['Age (decade)'] = df['age'].apply(lambda x: np.floor(x/10.0)*10.0)

def group_edu(x):
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