1# You can use "astype" method
2# suppose you want to correct your "sales" column data type
3df['sales'] = df['sales'].astype('float64')
1>>> df.astype({'col1': 'int32'}).dtypes
2col1 int32
3col2 int64
4dtype: object
1df = pd.read_csv("weather.tsv", sep="\t",
2 dtype={'Day': str,'Wind':int64})
3df.dtypes
4