python - TypeError: unorderable types: str() > float()

Question

i have a csv file and has v3 column but that column has some \'nan\' rows. How can i except the rows.

 dataset = pd.read_csv(\'mypath\') 

    enc = LabelEnc         


        

Answer 1

Mask the nan values by using ~isnull():

mask = ~dataset['v3'].isnull()
dataset['v3'][mask] = enc.fit_transform(dataset['v3'][mask])

Another way is to use the pandas.factorize function, which takes care of the nans automatically (assigns them -1):

dataset['v3'] = dataset['v3'].factorize()[0]