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

pyspark.pandas.DataFrame.empty pyspark.pandas.DataFrame.shape