matplotlib · rcomer · Jan 11, 2025 · Jan 11, 2025
diff --git a/lib/matplotlib/artist.py b/lib/matplotlib/artist.py
@@ -1016,7 +1016,7 @@ def set_alpha(self, alpha):

        Parameters
        ----------
-        alpha : scalar or None
+        alpha : float or None
            *alpha* must be within the 0-1 range, inclusive.
        """
        if alpha is not None and not isinstance(alpha, Real):
@@ -1035,7 +1035,7 @@ def _set_alpha_for_array(self, alpha):

        Parameters
        ----------
-        alpha : array-like or scalar or None
+        alpha : array-like or float or None
            All values must be within the 0-1 range, inclusive.
            Masked values and nans are not supported.
        """

diff --git a/lib/matplotlib/axes/_axes.py b/lib/matplotlib/axes/_axes.py
@@ -1613,7 +1613,7 @@ def plot(self, *args, scalex=True, scaley=True, data=None, **kwargs):

        Parameters
        ----------
-        x, y : array-like or scalar
+        x, y : array-like or float
            The horizontal / vertical coordinates of the data points.
            *x* values are optional and default to ``range(len(y))``.

@@ -4231,13 +4231,13 @@ def bxp(self, bxpstats, positions=None, widths=None, vert=None,
            A list of dictionaries containing stats for each boxplot.
            Required keys are:

-            - ``med``: Median (scalar).
-            - ``q1``, ``q3``: First & third quartiles (scalars).
-            - ``whislo``, ``whishi``: Lower & upper whisker positions (scalars).
+            - ``med``: Median (float).
+            - ``q1``, ``q3``: First & third quartiles (float).
+            - ``whislo``, ``whishi``: Lower & upper whisker positions (float).

            Optional keys are:

-            - ``mean``: Mean (scalar).  Needed if ``showmeans=True``.
+            - ``mean``: Mean (float).  Needed if ``showmeans=True``.
            - ``fliers``: Data beyond the whiskers (array-like).
              Needed if ``showfliers=True``.
            - ``cilo``, ``cihi``: Lower & upper confidence intervals
@@ -6872,7 +6872,7 @@ def hist(self, x, bins=None, range=None, density=False, weights=None,
            ``True``, then the histogram is normalized such that the first bin
            equals 1.

-        bottom : array-like, scalar, or None, default: None
+        bottom : array-like or float, default: 0
            Location of the bottom of each bin, i.e. bins are drawn from
            ``bottom`` to ``bottom + hist(x, bins)`` If a scalar, the bottom
            of each bin is shifted by the same amount. If an array, each bin

diff --git a/lib/matplotlib/backend_bases.py b/lib/matplotlib/backend_bases.py
@@ -428,11 +428,11 @@ def draw_image(self, gc, x, y, im, transform=None):
        gc : `.GraphicsContextBase`
            A graphics context with clipping information.

-        x : scalar
+        x : float
            The distance in physical units (i.e., dots or pixels) from the left
            hand side of the canvas.

-        y : scalar
+        y : float
            The distance in physical units (i.e., dots or pixels) from the
            bottom side of the canvas.


diff --git a/lib/matplotlib/backends/backend_mixed.py b/lib/matplotlib/backends/backend_mixed.py
@@ -21,9 +21,9 @@ def __init__(self, figure, width, height, dpi, vector_renderer,
        ----------
        figure : `~matplotlib.figure.Figure`
            The figure instance.
-        width : scalar
+        width : float
            The width of the canvas in logical units
-        height : scalar
+        height : float
            The height of the canvas in logical units
        dpi : float
            The dpi of the canvas

diff --git a/lib/matplotlib/colors.py b/lib/matplotlib/colors.py
@@ -743,7 +743,7 @@ def __call__(self, X, alpha=None, bytes=False):
        r"""
        Parameters
        ----------
-        X : float or int, `~numpy.ndarray` or scalar
+        X : float or int or array-like
            The data value(s) to convert to RGBA.
            For floats, *X* should be in the interval ``[0.0, 1.0]`` to
            return the RGBA values ``X*100`` percent along the Colormap line.
@@ -771,7 +771,7 @@ def _get_rgba_and_mask(self, X, alpha=None, bytes=False):
        r"""
        Parameters
        ----------
-        X : float or int, `~numpy.ndarray` or scalar
+        X : float or int or array-like
            The data value(s) to convert to RGBA.
            For floats, *X* should be in the interval ``[0.0, 1.0]`` to
            return the RGBA values ``X*100`` percent along the Colormap line.
@@ -1609,7 +1609,7 @@ def __call__(self, X, alpha=None, bytes=False):
        r"""
        Parameters
        ----------
-        X : tuple (X0, X1), X0 and X1: float or int `~numpy.ndarray` or scalar
+        X : tuple (X0, X1), X0 and X1: float or int or array-like
            The data value(s) to convert to RGBA.

            - For floats, *X* should be in the interval ``[0.0, 1.0]`` to