Checking column types
Take a look at the UFO dataset's column types using the .info() method. Two columns jump out for transformation: the seconds column, which is a numeric column but is being read in as object, and the date column, which can be transformed into the datetime type. That will make our feature engineering efforts easier later on.
Questo esercizio fa parte del corso
Preprocessing for Machine Learning in Python
Istruzioni dell'esercizio
- Call the
.info()method on theufodataset. - Convert the type of the
secondscolumn to thefloatdata type. - Convert the type of the
datecolumn to thedatetimedata type. - Call
.info()onufoagain to see if the changes worked.
Esercizio pratico interattivo
Prova a risolvere questo esercizio completando il codice di esempio.
# Print the DataFrame info
print(ufo.____)
# Change the type of seconds to float
ufo["seconds"] = ____
# Change the date column to type datetime
ufo["date"] = ____
# Check the column types
print(ufo.____)