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how to convert data type of a column in pandas Code Example
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')
Source: buggyprogrammer.com
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)
Source: stackoverflow.com
change dataframe column type 
>>> df.astype({'col1': 'int32'}).dtypes
col1    int32
col2    int64
dtype: object
Source: pandas.pydata.org
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)
Source: stackoverflow.com



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Sub Category:
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