Jan 24, 2025 · Jan 24, 2025 · Jan 24, 2025
diff --git a/lib/matplotlib/axes/_axes.py b/lib/matplotlib/axes/_axes.py
            The x coordinates of the bars. See also *align* for the
            alignment of the bars to the coordinates.

            Bars are often used for categorical data, i.e. string labels below
            the bars. You can provide a list of strings directly to *x*.
            ``bar(['A', 'B', 'C'], [1, 2, 3])`` is often a shorter and more
            convenient notation compared to
            ``bar(range(3), [1, 2, 3], tick_label=['A', 'B', 'C'])``. They are
            equivalent as long as the names are unique. The explicit *tick_label*
            notation draws the names in the sequence given. However, when having
            duplicate values in categorical *x* data, these values map to the same
            numerical x coordinate, and hence the corresponding bars are drawn on
            top of each other.

        height : float or array-like
            The height(s) of the bars.

            The y coordinates of the bars. See also *align* for the
            alignment of the bars to the coordinates.

            Bars are often used for categorical data, i.e. string labels below
            the bars. You can provide a list of strings directly to *y*.
            ``barh(['A', 'B', 'C'], [1, 2, 3])`` is often a shorter and more
            convenient notation compared to
            ``barh(range(3), [1, 2, 3], tick_label=['A', 'B', 'C'])``. They are
            equivalent as long as the names are unique. The explicit *tick_label*
            notation draws the names in the sequence given. However, when having
            duplicate values in categorical *y* data, these values map to the same
            numerical y coordinate, and hence the corresponding bars are drawn on
            top of each other.

        width : float or array-like
            The width(s) of the bars.
Original file line number	Diff line number	Diff line change
Expand Up		@@ -2386,6 +2386,17 @@ def bar(self, x, height, width=0.8, bottom=None, *, align="center",
		The x coordinates of the bars. See also align for the
		alignment of the bars to the coordinates.

		Bars are often used for categorical data, i.e. string labels below
		the bars. You can provide a list of strings directly to x.
		``bar(['A', 'B', 'C'], [1, 2, 3])`` is often a shorter and more
		convenient notation compared to
		``bar(range(3), [1, 2, 3], tick_label=['A', 'B', 'C'])``. They are
		equivalent as long as the names are unique. The explicit tick_label
		notation draws the names in the sequence given. However, when having
		duplicate values in categorical x data, these values map to the same
		numerical x coordinate, and hence the corresponding bars are drawn on
		top of each other.

		height : float or array-like
		The height(s) of the bars.

Expand DownExpand Up		@@ -2701,6 +2712,17 @@ def barh(self, y, width, height=0.8, left=None, *, align="center",
		The y coordinates of the bars. See also align for the
		alignment of the bars to the coordinates.

		Bars are often used for categorical data, i.e. string labels below
		the bars. You can provide a list of strings directly to y.
		``barh(['A', 'B', 'C'], [1, 2, 3])`` is often a shorter and more
		convenient notation compared to
		``barh(range(3), [1, 2, 3], tick_label=['A', 'B', 'C'])``. They are
		equivalent as long as the names are unique. The explicit tick_label
		notation draws the names in the sequence given. However, when having
		duplicate values in categorical y data, these values map to the same
		numerical y coordinate, and hence the corresponding bars are drawn on
		top of each other.

		width : float or array-like
		The width(s) of the bars.

Expand Down