how to convert data type of a column in pandas
# You can use "astype" method # suppose you want to correct your "sales" column data type df['sales'] = df['sales'].astype('float64')
how to convert data type of a column in pandas
# You can use "astype" method # suppose you want to correct your "sales" column data type df['sales'] = df['sales'].astype('float64')
change dataframe column type
>>> df.astype({'col1': 'int32'}).dtypes col1 int32 col2 int64 dtype: object
convert pandas column type
# convert all columns of DataFrame df = df.apply(pd.to_numeric) # convert all columns of DataFrame # convert just columns "a" and "b" df[["a", "b"]] = df[["a", "b"]].apply(pd.to_numeric)
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