Closed brockfanning closed 3 years ago
The way that we are fixing empty values is apparently problematic. It randomly changes the datatype of data. For example, the string "2010" can change to the float 2010.0.
More discussion here: https://stackoverflow.com/questions/59500812/pandas-dataframe-replace-change-dtype-of-columns
The way that we are fixing empty values is apparently problematic. It randomly changes the datatype of data. For example, the string "2010" can change to the float 2010.0.
More discussion here: https://stackoverflow.com/questions/59500812/pandas-dataframe-replace-change-dtype-of-columns