Instructions: Create an empty dictionary: zip_dict = {} Loop through all the zip_codes in df_zip Create...

Instructions:

Create an empty dictionary: zip_dict = {}
Loop through all the zip_codes in df_zip
Create a dictionary key for the first 3 digits of a zip_code in zip_dict
Continually add population counts to the key that contains the same first 3 digits of the zip code

To extract the population you will find this code useful:

population = list(df_zip.loc[df_zip['zip'] == zip_code]['population'])

To extract the first 3 digits of a zip_code you will find this code useful:

int(str(zip_code)[:3])

Expert Solution

#python code

zip_dict = {}

for index,row in df_zip.iterrows():

zip_code = row['zip']

population = df_zip.loc[df_zip['zip'] == zip_code,'population']

if zip_code in zip_dict:

zip_dict[int(str(zip_code)[:3])] =zip_dict[int(str(zip_code)[:3])] + population #[adds if already exists]

else:

zip_dict[int(str(zip_code)[:3])] = population #create new key if not present in dictionary

###Thank You.......

venereology answered 1 year ago

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