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Property axes Property columns Property dtypes Property empty Property index Property ndim Property shape Property size Property T Property values

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Pandas DataFrame | dtypes property

schedule May 20, 2023

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Return Value Examples

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Pandas DataFrame.dtypes property returns the data type of the values stored in each column.

Return Value

A Pandas Series holding the data type of each column.

Examples

Consider the following DataFrame:


        
        
            
                
                
                    df = pd.DataFrame({
   "A": [1.0],   # float
   "B": [1],     # int
   "C": [pd.Timestamp("20200210")],  # date
   "D": "abc",   # string
   "E": ["def"]  # list
})

df
                
            
               A    B  C           D    E
0  1.0  1  2020-02-10  abc  def

The data type of each column is as follows:


        
        
            
                
                
                    df.dtypes
                
            
            A           float64
B             int64
C    datetime64[ns]
D            object
E            object
dtype: object

Notice how strings and lists have object as their data type.

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Published by Isshin Inada

Edited by 0 others

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Official Pandas Documentation

https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.dtypes.html

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