pyspark.pandas.DataFrame.dtypes¶
-
property
DataFrame.dtypes¶ Return the dtypes in the DataFrame.
This returns a Series with the data type of each column. The result’s index is the original DataFrame’s columns. Columns with mixed types are stored with the object dtype.
- Returns
- pd.Series
The data type of each column.
Examples
>>> df = ps.DataFrame({'a': list('abc'), ... 'b': list(range(1, 4)), ... 'c': np.arange(3, 6).astype('i1'), ... 'd': np.arange(4.0, 7.0, dtype='float64'), ... 'e': [True, False, True], ... 'f': pd.date_range('20130101', periods=3)}, ... columns=['a', 'b', 'c', 'd', 'e', 'f']) >>> df.dtypes a object b int64 c int8 d float64 e bool f datetime64[ns] dtype: object