3f) Masking the Zip Codes

In this part, create a for loop, updating thedf_usersdataframe.

Go through each user, and update their zip code, to Safe Harbor specifications:

• If the user is from a zip code for the which the "Geographic Subdivision" is less than equal to 20,000, change the zip code in df_users to '0' (as a string)
• Otherwise, zip should be only the first 3 numbers of the full zip code
• Do all this by directly updating thezipcolumn of thedf_usersDataFrame

Hints:

1. This will be several lines of code, looping through the DataFrame, getting each zip code, checking the geographic subdivision with the population inzip_dict, and setting thezip_codeaccordingly.
2. Be very aware of your variable types when working with zip codes here.

in python