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DOC: fix typos (#18980)
* DOC: fix typos Found using `codespell v2.0.dev` ``` codespell -q 3 -S ./extern,./doc/users/credits.rst,./doc/api/prev_api_changes,./doc/users/prev_whats_new -L afe,ans,axises,ba,coo,flate,fo,hist,inout,ment,nd,offsetp,oly,ot,te,thisy,vas,whis,wit ``` * Added requested revisions Co-authored-by: Thomas A Caswell <tcaswell@gmail.com> * Added requested revisions Co-authored-by: Thomas A Caswell <tcaswell@gmail.com> * Added requested revisions Co-authored-by: Thomas A Caswell <tcaswell@gmail.com> * Fix typo demonstrated by @QuLogic Co-authored-by: Thomas A Caswell <tcaswell@gmail.com>
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‎LICENSE/LICENSE_BAKOMA

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BaKoMa Fonts Licence
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--------------------
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This licence covers two font packs (known as BaKoMa Fonts Colelction,
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This licence covers two font packs (known as BaKoMa Fonts Collection,
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which is available at `CTAN:fonts/cm/ps-type1/bakoma/'):
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1) BaKoMa-CM (1.1/12-Nov-94)

‎doc/_static/fa/LICENSE

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Font Awsome SVG Icons are covered by CC BY 4.0 License.
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Font Awesome SVG Icons are covered by CC BY 4.0 License.
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https://fontawesome.com/license/free
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‎doc/thirdpartypackages/index.rst

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@@ -243,7 +243,7 @@ mpl_interactions
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================
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`mpl_interactions <https://mpl-interactions.readthedocs.io/en/latest/>`_
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makes it easy to create interactive plots controlled by sliders and other
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widgets. It also provides several handy capabilties such as manual
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widgets. It also provides several handy capabilities such as manual
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image segmentation, comparing cross-sections of arrays, and using the
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scroll wheel to zoom.
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‎examples/animation/animated_histogram.py

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###############################################################################
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# To animate the histogram, we need an ``animate`` function, which generates
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# a random set of numbers and updates the heights of rectanges. We utilize a
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# a random set of numbers and updates the heights of rectangles. We utilize a
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# python closure to track an instance of `.BarContainer` whose `.Rectangle`
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# patches we shall update.
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‎examples/axisartist/demo_curvelinear_grid2.py

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"""
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======================
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Demo Curvelinear Grid2
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Demo CurveLinear Grid2
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======================
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Custom grid and ticklines.

‎examples/images_contours_and_fields/contour_label_demo.py

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Z = (Z1 - Z2) * 2
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###############################################################################
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# Make contour labels wuth custom level formatters
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# Make contour labels with custom level formatters
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# This custom formatter removes trailing zeros, e.g. "1.0" becomes "1", and

‎examples/misc/packed_bubbles.py

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# calculate direction vector
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dir_vec = rest_bub[colliding, :2] - self.bubbles[i, :2]
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dir_vec = dir_vec / np.sqrt(dir_vec.dot(dir_vec))
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# calculate orthagonal vector
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# calculate orthogonal vector
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orth = np.array([dir_vec[1], -dir_vec[0]])
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# test which direction to go
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new_point1 = (self.bubbles[i, :2] + orth *

‎examples/shapes_and_collections/hatch_demo.py

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==========
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Hatches can be added to most polygons in Matplotlib, including `~.Axes.bar`,
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`~.Axes.fill_between`, `~.Axes.contourf`, and childern of `~.patches.Polygon`.
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`~.Axes.fill_between`, `~.Axes.contourf`, and children of `~.patches.Polygon`.
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They are currently supported in the PS, PDF, SVG, OSX, and Agg backends. The WX
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and Cairo backends do not currently support hatching.
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‎examples/shapes_and_collections/hatch_style_reference.py

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=====================
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Hatches can be added to most polygons in Matplotlib, including `~.Axes.bar`,
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`~.Axes.fill_between`, `~.Axes.contourf`, and childern of `~.patches.Polygon`.
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`~.Axes.fill_between`, `~.Axes.contourf`, and children of `~.patches.Polygon`.
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They are currently supported in the PS, PDF, SVG, OSX, and Agg backends. The WX
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and Cairo backends do not currently support hatching.
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‎examples/statistics/time_series_histogram.py

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Y = np.cumsum(np.random.randn(num_series, num_points), axis=-1)
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# Generate sinusoidal signals
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num_signal = int(round(SNR * num_series))
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phi = (np.pi / 8) * np.random.randn(num_signal, 1) # small random offest
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phi = (np.pi / 8) * np.random.randn(num_signal, 1) # small random offset
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Y[-num_signal:] = (
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np.sqrt(np.arange(num_points))[None, :] # random walk RMS scaling factor
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* (np.sin(x[None, :] - phi)

‎examples/subplots_axes_and_figures/subfigures.py

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:doc:`nested gridspecs</gallery/subplots_axes_and_figures/gridspec_nested>`,
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but having a virtual figure with its own artists is helpful, so
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Matplotlib also has "subfigures", accessed by calling
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`matplotlib.figure.Figure.add_subfigure` in a way that is analagous to
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`matplotlib.figure.Figure.add_subfigure` in a way that is analogous to
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`matplotlib.figure.Figure.add_subplot`, or
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`matplotlib.figure.Figure.subfigures` to make an array of subfigures. Note
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that subfigures can also have their own child subfigures.
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for a in axs[:, 1:].flat:
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a.plot(np.arange(10))
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# make the subfigure in the empy gridspec slots:
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# make the subfigure in the empty gridspec slots:
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subfig = fig.add_subfigure(gridspec[:, 0])
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axsLeft = subfig.subplots(1, 2, sharey=True)

‎examples/text_labels_and_annotations/titles_demo.py

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ax.set_xlabel('X-label')
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ax.set_title('Manual y', y=1.0, pad=-14)
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plt.rcParams['axes.titley'] = 1.0 # y is in axes-relative co-ordinates.
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plt.rcParams['axes.titley'] = 1.0 # y is in axes-relative coordinates.
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plt.rcParams['axes.titlepad'] = -14 # pad is in points...
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ax = axs[1]
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ax.plot(range(10))

‎examples/ticks_and_spines/date_concise_formatter.py

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plt.show()
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#############################################################################
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# The default date formater is quite verbose, so we have the option of
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# The default date formatter is quite verbose, so we have the option of
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# using `~.dates.ConciseDateFormatter`, as shown below. Note that
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# for this example the labels do not need to be rotated as they do for the
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# default formatter because the labels are as small as possible.

‎lib/matplotlib/__init__.py

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@@ -882,7 +882,7 @@ def rc_params_from_file(fname, fail_on_error=False, use_default_template=True):
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with cbook._suppress_matplotlib_deprecation_warning():
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rcParamsOrig = RcParams(rcParams.copy())
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# This also checks that all rcParams are indeed listed in the template.
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# Assiging to rcsetup.defaultParams is left only for backcompat.
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# Assigning to rcsetup.defaultParams is left only for backcompat.
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defaultParams = rcsetup.defaultParams = {
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# We want to resolve deprecated rcParams, but not backend...
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key: [(rcsetup._auto_backend_sentinel if key == "backend" else

‎lib/matplotlib/_animation_data.py

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if (isInternetExplorer()) {
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// switch from oninput to onchange because IE <= 11 does not conform
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// with W3C specification. It ignores oninput and onchange behaves
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// like oninput. In contrast, Mircosoft Edge behaves correctly.
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// like oninput. In contrast, Microsoft Edge behaves correctly.
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slider.setAttribute('onchange', slider.getAttribute('oninput'));
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slider.setAttribute('oninput', null);
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}

‎lib/matplotlib/_constrained_layout.py

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Subplotspecs that are derived from this gridspec can contain either a
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``SubPanel``, a ``GridSpecFromSubplotSpec``, or an axes. The ``SubPanel`` and
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``GridSpecFromSubplotSpec`` are dealt with recursively and each contain an
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analagous layout.
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analogous layout.
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Each ``GridSpec`` has a ``_layoutgrid`` attached to it. The ``_layoutgrid``
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has the same logical layout as the ``GridSpec``. Each row of the grid spec
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460460
if not hasattr(ax, 'get_subplotspec') or not ax.get_in_layout():
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continue
462462

463-
# grid bbox is in Figure co-ordinates, but we specify in panel
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# co-ordinates...
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# grid bbox is in Figure coordinates, but we specify in panel
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# coordinates...
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ss = ax.get_subplotspec()
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gs = ss.get_gridspec()
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nrows, ncols = gs.get_geometry()

‎lib/matplotlib/_layoutgrid.py

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"""
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A layoutgrid is a nrows by ncols set of boxes, meant to be used by
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`._constrained_layout`, each box is analagous to a subplotspec element of
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`._constrained_layout`, each box is analogous to a subplotspec element of
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a gridspec.
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Each box is defined by left[ncols], right[ncols], bottom[nrows] and top[nrows],
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class LayoutGrid:
3030
"""
31-
Analagous to a gridspec, and contained in another LayoutGrid.
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Analogous to a gridspec, and contained in another LayoutGrid.
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"""
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3434
def __init__(self, parent=None, parent_pos=(0, 0),

‎lib/matplotlib/axes/_base.py

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The transform used for drawing x-axis labels, which will add
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*pad_points* of padding (in points) between the axes and the label.
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The x-direction is in data coordinates and the y-direction is in
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axis corrdinates
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axis coordinates
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valign : {'center', 'top', 'bottom', 'baseline', 'center_baseline'}
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The text vertical alignment.
784784
halign : {'center', 'left', 'right'}
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The transform used for drawing secondary x-axis labels, which will
805805
add *pad_points* of padding (in points) between the axes and the
806806
label. The x-direction is in data coordinates and the y-direction
807-
is in axis corrdinates
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is in axis coordinates
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valign : {'center', 'top', 'bottom', 'baseline', 'center_baseline'}
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The text vertical alignment.
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halign : {'center', 'left', 'right'}
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854854
The transform used for drawing y-axis labels, which will add
855855
*pad_points* of padding (in points) between the axes and the label.
856856
The x-direction is in axis coordinates and the y-direction is in
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data corrdinates
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data coordinates
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The text vertical alignment.
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halign : {'center', 'left', 'right'}
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The transform used for drawing secondart y-axis labels, which will
881881
add *pad_points* of padding (in points) between the axes and the
882882
label. The x-direction is in axis coordinates and the y-direction
883-
is in data corrdinates
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is in data coordinates
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valign : {'center', 'top', 'bottom', 'baseline', 'center_baseline'}
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The text vertical alignment.
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halign : {'center', 'left', 'right'}

‎lib/matplotlib/backend_bases.py

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259259
antialiaseds, urls, offset_position):
260260
path, transform = path_id
261261
# Only apply another translation if we have an offset, else we
262-
# resuse the inital transform.
262+
# reuse the initial transform.
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if xo != 0 or yo != 0:
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# The transformation can be used by multiple paths. Since
265265
# translate is a inplace operation, we need to copy the
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26022602
_log.warning(str(exc))
26032603
ax.set_xscale('linear')
26042604
ax.figure.canvas.draw_idle()
2605-
# enable nagivation for all axes that contain the event (default key 'a')
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# enable navigation for all axes that contain the event (default key 'a')
26062606
elif event.key in all_keys:
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for a in canvas.figure.get_axes():
26082608
if (event.x is not None and event.y is not None

‎lib/matplotlib/cm.py

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131131
Notes
132132
-----
133133
Registering a colormap stores a reference to the colormap object
134-
which can currently be modified and inadvertantly change the global
134+
which can currently be modified and inadvertently change the global
135135
colormap state. This behavior is deprecated and in Matplotlib 3.5
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the registered colormap will be immutable.
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‎lib/matplotlib/collections.py

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See :doc:`/gallery/lines_bars_and_markers/joinstyle` for
120120
a demonstration of each of the allowed values.
121121
antialiaseds : bool or list of bool, default: :rc:`patch.antialiased`
122-
Whether each pach in the collection should be drawn with
122+
Whether each patch in the collection should be drawn with
123123
antialiasing.
124124
offsets : (float, float) or list thereof, default: (0, 0)
125125
A vector by which to translate each patch after rendering (default
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14911491

14921492
class EventCollection(LineCollection):
14931493
"""
1494-
A collection of locations along a single axis at which an "event" occured.
1494+
A collection of locations along a single axis at which an "event" occurred.
14951495
14961496
The events are given by a 1-dimensional array. They do not have an
14971497
amplitude and are displayed as parallel lines.

‎lib/matplotlib/colorbar.py

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*orientation* if it is set (vertical colorbars on the right, horizontal
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ones at the bottom), or default to 'right' if *orientation* is unset.
5656
orientation : None or {'vertical', 'horizontal'}
57-
The orientation of the colorbar. It is preferrable to set the *location*
57+
The orientation of the colorbar. It is preferable to set the *location*
5858
of the colorbar, as that also determines the *orientation*; passing
5959
incompatible values for *location* and *orientation* raises an exception.
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fraction : float, default: 0.15

‎lib/matplotlib/colors.py

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Mapping data onto colors using a colormap typically involves two steps: a data
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array is first mapped onto the range 0-1 using a subclass of `Normalize`,
1212
then this number is mapped to a color using a subclass of `Colormap`. Two
13-
sublasses of `Colormap` provided here: `LinearSegmentedColormap`, which uses
13+
subclasses of `Colormap` provided here: `LinearSegmentedColormap`, which uses
1414
piecewise-linear interpolation to define colormaps, and `ListedColormap`, which
1515
makes a colormap from a list of colors.
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‎lib/matplotlib/dates.py

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If microsecond accuracy is desired, the date being plotted needs to be
248248
within approximately 70 years of the epoch. Matplotlib internally
249249
represents dates as days since the epoch, so floating point dynamic
250-
range needs to be within a factor fo 2^52.
250+
range needs to be within a factor of 2^52.
251251
252252
`~.dates.set_epoch` must be called before any dates are converted
253253
(i.e. near the import section) or a RuntimeError will be raised.

‎lib/matplotlib/gridspec.py

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214214
gs = ax.get_subplotspec().get_gridspec()
215215
if hasattr(gs, 'get_topmost_subplotspec'):
216216
# This is needed for colorbar gridspec layouts.
217-
# This is probably OK becase this whole logic tree
217+
# This is probably OK because this whole logic tree
218218
# is for when the user is doing simple things with the
219219
# add_subplot command. For complicated layouts
220220
# like subgridspecs the proper gridspec is passed in...
@@ -759,7 +759,7 @@ def rowspan(self):
759759
def colspan(self):
760760
"""The columns spanned by this subplot, as a `range` object."""
761761
ncols = self.get_gridspec().ncols
762-
# We explicitly support num2 refering to a column on num1's *left*, so
762+
# We explicitly support num2 referring to a column on num1's *left*, so
763763
# we must sort the column indices here so that the range makes sense.
764764
c1, c2 = sorted([self.num1 % ncols, self.num2 % ncols])
765765
return range(c1, c2 + 1)

‎lib/matplotlib/offsetbox.py

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998998
ub = mtransforms.Bbox.union(bboxes)
999999
# adjust ref_offset_transform
10001000
self.ref_offset_transform.translate(-ub.x0, -ub.y0)
1001-
# restor offset transform
1001+
# restore offset transform
10021002
self.offset_transform.set_matrix(_off)
10031003

10041004
return ub.width, ub.height, 0., 0.

‎lib/matplotlib/patches.py

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11241124
xy = np.concatenate([xy, [xy[0]]])
11251125
else:
11261126
# if we aren't closed, and the last vertex matches the first, then
1127-
# we assume we have an unecessary CLOSEPOLY vertex and remove it
1127+
# we assume we have an unnecessary CLOSEPOLY vertex and remove it
11281128
if nverts > 2 and (xy[0] == xy[-1]).all():
11291129
xy = xy[:-1]
11301130
self._path = Path(xy, closed=self._closed)

‎lib/matplotlib/tests/test_cbook.py

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560560

561561
def test_reshape2d_pandas(pd):
562-
# seperate to allow the rest of the tests to run if no pandas...
562+
# separate to allow the rest of the tests to run if no pandas...
563563
X = np.arange(30).reshape(10, 3)
564564
x = pd.DataFrame(X, columns=["a", "b", "c"])
565565
Xnew = cbook._reshape_2D(x, 'x')

‎lib/matplotlib/tests/test_legend.py

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286286
lns, = ax.plot(th, np.sin(th), label='sin')
287287
lnc, = ax.plot(th, np.cos(th), label='cos')
288288
with mock.patch('matplotlib.legend.Legend') as Legend:
289-
# labels of lns, lnc are overwritten with explict ('a', 'b')
289+
# labels of lns, lnc are overwritten with explicit ('a', 'b')
290290
ax.legend(labels=('a', 'b'), handles=(lnc, lns))
291291
Legend.assert_called_with(ax, (lnc, lns), ('a', 'b'))
292292

‎lib/matplotlib/tests/test_pyplot.py

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144144
assert mpl.is_interactive()
145145
assert not mpl.is_interactive()
146146

147-
# redunant contexts
147+
# redundant contexts
148148
with plt.ion():
149149
with plt.ion():
150150
assert mpl.is_interactive()

‎lib/matplotlib/tests/test_table.py

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190190
table[2, 1] = cell2
191191
assert table[2, 1] is cell2
192192

193-
# make sure gettitem support has not broken
193+
# make sure getitem support has not broken
194194
# properties and setp
195195
table.properties()
196196
plt.setp(table)

‎matplotlibrc.template

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405405
#axes.prop_cycle: cycler('color', ['1f77b4', 'ff7f0e', '2ca02c', 'd62728', '9467bd', '8c564b', 'e377c2', '7f7f7f', 'bcbd22', '17becf'])
406406
# color cycle for plot lines as list of string color specs:
407407
# single letter, long name, or web-style hex
408-
# As opposed to all other paramters in this file, the color
408+
# As opposed to all other parameters in this file, the color
409409
# values must be enclosed in quotes for this parameter,
410410
# e.g. '1f77b4', instead of 1f77b4.
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# See also https://matplotlib.org/tutorials/intermediate/color_cycle.html

‎tutorials/intermediate/constrainedlayout_guide.py

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# for each column, and ``bottom`` and ``top`` variables for each row, and
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# further it has a margin for each of left, right, bottom and top. In each
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# row, the bottom/top margins are widened until all the decorators
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# in that row are accomodated. Similarly for columns and the left/right
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# in that row are accommodated. Similarly for columns and the left/right
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# margins.
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#
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#

‎tutorials/toolkits/axisartist.py

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:align: center
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:scale: 50
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Demo Curvelinear Grid
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Demo CurveLinear Grid
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Floating Axes
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-------------
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:align: center
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:scale: 50
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Demo Curvelinear Grid
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Demo CurveLinear Grid
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FloatingAxis
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============

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