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Pandas DataFrame | dtypes property

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schedule Jul 1, 2022
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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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