googleapis · Genesis929 · Dec 1, 2023 · Nov 29, 2023 · Nov 30, 2023 · Dec 1, 2023
@@ -3367,40 +3367,128 @@ def nunique(self):
        raise NotImplementedError(constants.ABSTRACT_METHOD_ERROR_MESSAGE)

    def cummin(self) -> DataFrame:
-        """Return cumulative minimum over a DataFrame axis.
+        """Return cumulative minimum over columns.

        Returns a DataFrame of the same size containing the cumulative minimum.

+        **Examples:**
+
+            >>> import bigframes.pandas as bpd
+            >>> bpd.options.display.progress_bar = None
+
+            >>> df = bpd.DataFrame({"A": [3, 1, 2], "B": [1, 2, 3]})
+            >>> df
+                A	B
+            0	3	1
+            1	1	2
+            2	2	3
+            <BLANKLINE>
+            [3 rows x 2 columns]
+
+            >>> df.cummin()
+                A	B
+            0	3	1
+            1	1	1
+            2	1	1
+            <BLANKLINE>
+            [3 rows x 2 columns]
+
        Returns:
            bigframes.dataframe.DataFrame: Return cumulative minimum of DataFrame.
        """
        raise NotImplementedError(constants.ABSTRACT_METHOD_ERROR_MESSAGE)

    def cummax(self) -> DataFrame:
-        """Return cumulative maximum over a DataFrame axis.
+        """Return cumulative maximum over columns.

        Returns a DataFrame of the same size containing the cumulative maximum.

+        **Examples:**
+
+            >>> import bigframes.pandas as bpd
+            >>> bpd.options.display.progress_bar = None
+
+            >>> df = bpd.DataFrame({"A": [3, 1, 2], "B": [1, 2, 3]})
+            >>> df
+                A	B
+            0	3	1
+            1	1	2
+            2	2	3
+            <BLANKLINE>
+            [3 rows x 2 columns]
+
+            >>> df.cummax()
+                A	B
+            0	3	1
+            1	3	2
+            2	3	3
+            <BLANKLINE>
+            [3 rows x 2 columns]
+
        Returns:
            bigframes.dataframe.DataFrame: Return cumulative maximum of DataFrame.
        """
        raise NotImplementedError(constants.ABSTRACT_METHOD_ERROR_MESSAGE)

    def cumsum(self) -> DataFrame:
-        """Return cumulative sum over a DataFrame axis.
+        """Return cumulative sum over columns.

        Returns a DataFrame of the same size containing the cumulative sum.

+        **Examples:**
+
+            >>> import bigframes.pandas as bpd
+            >>> bpd.options.display.progress_bar = None
+
+            >>> df = bpd.DataFrame({"A": [3, 1, 2], "B": [1, 2, 3]})
+            >>> df
+                A	B
+            0	3	1
+            1	1	2
+            2	2	3
+            <BLANKLINE>
+            [3 rows x 2 columns]
+
+            >>> df.cumsum()
+                A	B
+            0	3	1
+            1	4	3
+            2	6	6
+            <BLANKLINE>
+            [3 rows x 2 columns]
+
        Returns:
            bigframes.dataframe.DataFrame: Return cumulative sum of DataFrame.
        """
        raise NotImplementedError(constants.ABSTRACT_METHOD_ERROR_MESSAGE)

    def cumprod(self) -> DataFrame:
-        """Return cumulative product over a DataFrame axis.
+        """Return cumulative product over columns.

        Returns a DataFrame of the same size containing the cumulative product.

+        **Examples:**
+
+            >>> import bigframes.pandas as bpd
+            >>> bpd.options.display.progress_bar = None
+
+            >>> df = bpd.DataFrame({"A": [3, 1, 2], "B": [1, 2, 3]})
+            >>> df
+                A	B
+            0	3	1
+            1	1	2
+            2	2	3
+            <BLANKLINE>
+            [3 rows x 2 columns]
+
+            >>> df.cumprod()
+                A	B
+            0	3	1
+            1	3	2
+            2	6	6
+            <BLANKLINE>
+            [3 rows x 2 columns]
+
        Returns:
            bigframes.dataframe.DataFrame: Return cumulative product of DataFrame.
        """