Hi @dogers Maybe something similar to ValueError: could not convert string to float: 'Diesel'?
ValueError: could not convert string to float: 'Diesel'
Numeric values or dummies for Fuel are missing. You can group them like this:
cars['fuel'] = cars['fuel'].replace('Diesel', 0) cars['fuel'] = cars['fuel'].replace('Gasoline', 1) cars['fuel'] = cars['fuel'].replace( ['Electric/Gasoline', 'Electric/Diesel', 'Electric'], 2) cars['fuel'] = cars['fuel'].replace( ['CNG', 'LPG', 'Others', '-/- (Fuel)', 'Ethanol', 'Hydrogen'], 3)
or generate dummies
cars['fuel'] = cars['fuel'].replace('Others', 'OthersFuel') fuelDummies = pd.get_dummies(cars.fuel) cars = cars.join(fuelDummies) cars = cars.drop('fuel', 1)
Sorry for the inconvenience
That's it! Used the dummies block and it's working again, thanks :)
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Hi @dogers
Maybe something similar to
ValueError: could not convert string to float: 'Diesel'?Numeric values or dummies for Fuel are missing. You can group them like this:
or generate dummies
Sorry for the inconvenience
That's it! Used the dummies block and it's working again, thanks :)