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Filling a missing value in a pandas data frame with an if statement based on a condition

def CA_LATITUDE(county_CODE):
    if county_CODE == 4710:
       return 41.5188
    else:
       return np.nan

CA_LOCATION['LATITUDE'] = CA_LOCATION['LATITUDE'].fillna(CA_LOCATION.CNTY_CITY_LOC.apply(CA_LATITUDE))

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Filling a missing value in a pandas data frame with an if statement based on a condition

d = {4710:41.5188, 4711:41.5288...}
CA_LOCATION['LATITUDE'] = CA_LOCATION['LATITUDE'].fillna(CA_LOCATION.CNTY_CITY_LOC.map(d))

Comment

Filling a missing value in a pandas data frame with an if statement based on a condition

def CA_LATITUDE(county_CODE):
    if county_CODE == 4710:
       return 41.5188
    else:
       return np.nan

CA_LOCATION['LATITUDE'] = CA_LOCATION['LATITUDE'].fillna(CA_LOCATION.CNTY_CITY_LOC.apply(CA_LATITUDE))

Comment

Filling a missing value in a pandas data frame with an if statement based on a condition

d = {4710:41.5188, 4711:41.5288...}
CA_LOCATION['LATITUDE'] = CA_LOCATION['LATITUDE'].fillna(CA_LOCATION.CNTY_CITY_LOC.map(d))

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Filling a missing value in a pandas data frame with an if statement based on a condition

Filling a missing value in a pandas data frame with an if statement based on a condition

Filling a missing value in a pandas data frame with an if statement based on a condition

Filling a missing value in a pandas data frame with an if statement based on a condition

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