PANDAS TUTORIALS

Missing Values Exercise Answer Key

Answer Key

  1. listings = pd.read_parquet('clean_listings.parquet', engine='pyarrow')
  2. temp = listings[listings['hwy_mpg'].isna()]
  3. temp['hwy_mpg'].fillna(temp['city_mpg']*1.15, inplace=True)
  4. temp.dropna(subset=['price'], axis=1, inplace=True)
  5. listings['hwy_mpg'].interpolate()