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DOC: Use float instead for scalar for type descriptions in docstrings#29457

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Merged
rcomer merged 1 commit intomatplotlib:mainfromtimhoffm:doc-scalar-float
Jan 11, 2025
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4 changes: 2 additions & 2 deletionslib/matplotlib/artist.py
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Original file line numberDiff line numberDiff line change
Expand Up@@ -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.
"""
ifalphaisnotNoneandnotisinstance(alpha,Real):
Expand All@@ -1035,7 +1035,7 @@ def _set_alpha_for_array(self, alpha):
Parameters
----------
alpha : array-like orscalar or None
alpha : array-like orfloat or None
All values must be within the 0-1 range, inclusive.
Masked values and nans are not supported.
"""
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12 changes: 6 additions & 6 deletionslib/matplotlib/axes/_axes.py
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Expand Up@@ -1613,7 +1613,7 @@ def plot(self, *args, scalex=True, scaley=True, data=None, **kwargs):

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

Expand DownExpand Up@@ -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
Expand DownExpand Up@@ -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,orNone, default:None
bottom : array-likeorfloat, 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
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4 changes: 2 additions & 2 deletionslib/matplotlib/backend_bases.py
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Expand Up@@ -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.

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4 changes: 2 additions & 2 deletionslib/matplotlib/backends/backend_mixed.py
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Expand Up@@ -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
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6 changes: 3 additions & 3 deletionslib/matplotlib/colors.py
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Expand Up@@ -743,7 +743,7 @@ def __call__(self, X, alpha=None, bytes=False):
r"""
Parameters
----------
X : float or int, `~numpy.ndarray`orscalar
X : float or intorarray-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.
Expand DownExpand Up@@ -771,7 +771,7 @@ def _get_rgba_and_mask(self, X, alpha=None, bytes=False):
r"""
Parameters
----------
X : float or int, `~numpy.ndarray`orscalar
X : float or intorarray-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.
Expand DownExpand Up@@ -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`orscalar
X : tuple (X0, X1), X0 and X1: float or int orarray-like
The data value(s) to convert to RGBA.

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