Convert Pandas series containing string to boolean

Question

I have a DataFrame named df as

  Order Number       Status
1         1668  Undelivered
2        19771  Undelivered
3    100032108  Undelivered
4         


        

Answer 1

Expanding on the previous answers:

Map method explained:

• Pandas will lookup each row's value in the corresponding d dictionary, replacing any found keys with values from d.
• Values without keys in d will be set as NaN. This can be corrected with fillna() methods.
• Does not work on multiple columns, since pandas operates through serialization of pd.Series here.
• Documentation: pd.Series.map

d = {'Delivered': True, 'Undelivered': False}
df["Status"].map(d)

Replace method explained:

• Pandas will lookup each row's value in the corresponding d dictionary, and attempt to replace any found keys with values from d.
• Values without keys in d will be be retained.
• Works with single and multiple columns (pd.Series or pd.DataFrame objects).
• Documentation: pd.DataFrame.replace

d = {'Delivered': True, 'Undelivered': False}
df["Status"].replace(d)

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Overall, the replace method is more robust and allows finer control over how data is mapped + how to handle missing or nan values.