column dataframe to int
df[[column_name]].astype(int)
set column datatype pandas
df = pd.read_csv("weather.tsv", sep="\t",
dtype={'Day': str,'Wind':int64})
df.dtypes
convert categorical data type to int in pandas
from sklearn import preprocessing
lab_encoder = preprocessing.LabelEncoder()
df['column'] = lab_encoder.fit_transform(df['column'])
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