docs: (Series|Dataframe).dtypes (#598)

Author: chelsea-lin

third_party/bigframes_vendored/pandas/core/generic.py

@@ -589,6 +589,18 @@ def dtypes(self):
         The result's index is the original DataFrame's columns. Columns
         with mixed types aren't supported yet in BigQuery DataFrames.
 
+        **Examples:**
+
+            >>> import bigframes.pandas as bpd
+            >>> bpd.options.display.progress_bar = None
+
+            >>> df = bpd.DataFrame({'float': [1.0], 'int': [1], 'string': ['foo']})
+            >>> df.dtypes
+            float             Float64
+            int                 Int64
+            string    string[pyarrow]
+            dtype: object
+
         Returns:
             A *pandas* Series with the data type of each column.
         """

third_party/bigframes_vendored/pandas/core/series.py

@@ -119,13 +119,15 @@ def shape(self):
     def dtype(self):
         """
         Return the dtype object of the underlying data.
-        """
-        raise NotImplementedError(constants.ABSTRACT_METHOD_ERROR_MESSAGE)
 
-    @property
-    def dtypes(self):
-        """
-        Return the dtype object of the underlying data.
+        **Examples:**
+
+            >>> import bigframes.pandas as bpd
+            >>> bpd.options.display.progress_bar = None
+
+            >>> s = bpd.Series([1, 2, 3])
+            >>> s.dtype
+            Int64Dtype()
         """
         raise NotImplementedError(constants.ABSTRACT_METHOD_ERROR_MESSAGE)