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')convert column to numeric pandas
# 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)python: transform as type numeirc
df['myvar'] = df['myvar'].astype(str) # Transform as character
df['myvar'] = df['myvar'].astype(float) # Transform as float
df['myvar'] = df['myvar'].astype(int) # Transform as numericchange dataframe column type
>>> df.astype({'col1': 'int32'}).dtypes
col1 int32
col2 int64
dtype: objectset column datatype pandas
df = pd.read_csv("weather.tsv", sep="\t",
dtype={'Day': str,'Wind':int64})
df.dtypesCopyright © 2021 Codeinu
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