The first 23 columns in each of the sample households and persons data are these unnamed: 0.n columns that are the result of not setting index = False in pd.DataFrame.to_csv(). In both cases these are actually a majority of the columns and make the data harder to read. These fields aren't needed to run the example and should be removed.
The first 23 columns in each of the sample households and persons data are these
unnamed: 0.ncolumns that are the result of not settingindex = Falseinpd.DataFrame.to_csv(). In both cases these are actually a majority of the columns and make the data harder to read. These fields aren't needed to run the example and should be removed.