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174: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value 'Missing' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.
df.loc[pd.isna(df[column_name]), 'Audit_Required'] = 'Missing'
66: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value 'Expired' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.
df_date.loc[df_date['Review_Date'] < today, 'Audit_Dates'] = 'Expired'
71: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value 'Review' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.
df_nondate.loc[df_nondate['Review_Date'].str.lower() != 'permanent', 'Audit_Dates'] = 'Review'
144: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value 'Not in share' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.
df.loc[df['_merge'] == 'left_only', 'Audit_Inventory'] = 'Not in share'
The text was updated successfully, but these errors were encountered:
Warning from running the script August 2024
174: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value 'Missing' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.
df.loc[pd.isna(df[column_name]), 'Audit_Required'] = 'Missing'
66: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value 'Expired' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.
df_date.loc[df_date['Review_Date'] < today, 'Audit_Dates'] = 'Expired'
71: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value 'Review' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.
df_nondate.loc[df_nondate['Review_Date'].str.lower() != 'permanent', 'Audit_Dates'] = 'Review'
144: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value 'Not in share' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.
df.loc[df['_merge'] == 'left_only', 'Audit_Inventory'] = 'Not in share'
The text was updated successfully, but these errors were encountered: