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Commit 219e8dc

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Enforce pydocstyle D412
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‎.flake8

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D100, D101, D102, D103, D104, D105, D106, D107,
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D200, D202, D203, D204, D205, D207, D208, D209, D212, D213,
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D300, D301
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D400, D401, D402, D403, D413,
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exclude =
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.git

‎examples/text_labels_and_annotations/arrow_demo.py

Copy file name to clipboardExpand all lines: examples/text_labels_and_annotations/arrow_demo.py
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@@ -31,18 +31,25 @@ def make_arrow_plot(data, size=4, display='length', shape='right',
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**kwargs):
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"""Makes an arrow plot.
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Parameters:
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data: dict with probabilities for the bases and pair transitions.
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size: size of the graph in inches.
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display: 'length', 'width', or 'alpha' for arrow property to change.
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shape: 'full', 'left', or 'right' for full or half arrows.
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max_arrow_width: maximum width of an arrow, data coordinates.
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arrow_sep: separation between arrows in a pair, data coordinates.
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alpha: maximum opacity of arrows, default 0.8.
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**kwargs can be anything allowed by a Arrow object, e.g.
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linewidth and edgecolor.
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Parameters
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----------
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data
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Dict with probabilities for the bases and pair transitions.
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size
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Size of the graph in inches.
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display : {'length', 'width', 'alpha'}
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The arrow property to change.
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shape : {'full', 'left', 'right'}
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For full or half arrows.
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max_arrow_width : float
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Maximum width of an arrow, data coordinates.
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arrow_sep : float
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Separation between arrows in a pair, data coordinates.
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alpha : float
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Maximum opacity of arrows.
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**kwargs
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Can be anything allowed by a Arrow object, e.g. *linewidth* or
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*edgecolor*.
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"""
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plt.xlim(-0.5, 1.5)

‎lib/matplotlib/_constrained_layout.py

Copy file name to clipboardExpand all lines: lib/matplotlib/_constrained_layout.py
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Parameters
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----------
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fig : Figure
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is the ``figure`` instance to do the layout in.
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‎lib/matplotlib/_pylab_helpers.py

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@@ -15,12 +15,11 @@ class Gcf:
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methods that operate on those attributes, accessing them
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directly as class attributes.
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Attributes:
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*figs*:
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Attributes
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----------
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figs
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dictionary of the form {*num*: *manager*, ...}
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*_activeQue*:
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_activeQue
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list of *managers*, with active one at the end
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"""

‎lib/matplotlib/animation.py

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Parameters
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----------
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filename : str
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The output filename, e.g., :file:`mymovie.mp4`.
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‎lib/matplotlib/artist.py

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Parameters
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----------
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scale : float, optional
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The amplitude of the wiggle perpendicular to the source
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line, in pixels. If scale is `None`, or not provided, no
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Examples
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--------
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>>> artist.sticky_edges.x[:] = (xmin, xmax)
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>>> artist.sticky_edges.y[:] = (ymin, ymax)
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‎lib/matplotlib/axes/_axes.py

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@@ -358,7 +358,6 @@ def legend(self, *args, **kwargs):
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Parameters
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----------
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handles : sequence of `.Artist`, optional
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A list of Artists (lines, patches) to be added to the legend.
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Use this together with *labels*, if you need full control on what
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Other Parameters
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----------------
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%(_legend_kw_doc)s
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Returns
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Notes
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-----
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Not all kinds of artist are supported by the legend command. See
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:doc:`/tutorials/intermediate/legend_guide` for details.
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Examples
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"""
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handles, labels, extra_args, kwargs = mlegend._parse_legend_args(
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--------
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This method is experimental as of 3.0, and the API may change.
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Parameters
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Lower-left corner of inset axes, and its width and height.
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Returns
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Axes
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The created `.axes.Axes` instance.
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Examples
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This example makes two inset axes, the first is in axes-relative
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coordinates, and the second in data-coordinates::
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Warnings
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--------
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This method is experimental as of 3.0, and the API may change.
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Parameters
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Lower-left corner of rectangle to be marked, and its width
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and height.
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Rectangle artist.
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This method is experimental as of 3.0, and the API may change.
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Inset axes to draw connecting lines to. Two lines are
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drawn connecting the indicator box to the inset axes on corners
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Rectangle artist.
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The main axis shows frequency, and the secondary axis shows period.
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.. plot::
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.. plot::
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>>> axhline(linewidth=4, color='r')
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list : A list of :class:`~.collections.EventCollection` objects.
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For *linelengths*, *linewidths*, *colors*, and *linestyles*, if only
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a single value is given, that value is applied to all lines. If an
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array-like is given, it must have the same length as *positions*, and
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each value will be applied to the corresponding row of the array.
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"""
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.. seealso::
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The MATLAB function
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`stem <http://www.mathworks.com/help/techdoc/ref/stem.html>`_
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A list of dictionaries containing stats for each boxplot.
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Required keys are:
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"""
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* The `.plot` function will be faster for scatterplots where markers
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don't vary in size or color.
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**Masked arrays**
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*X*, *Y* and *C* may be masked arrays. If either ``C[i, j]``, or one
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**Masked arrays**
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*C* may be a masked array. If ``C[i, j]`` is masked, the corresponding
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A dictionary mapping each component of the violinplot to a
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A list of dictionaries containing stats for each violin plot.
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Required keys are:

‎lib/matplotlib/axes/_base.py

Copy file name to clipboardExpand all lines: lib/matplotlib/axes/_base.py
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Other Parameters
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Axis on which to operate; default is 'both'.
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ax.tick_params(direction='out', length=6, width=2, colors='r',
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* If bbox is a 4 tuple, it is the selected bounding box limits,
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in *display* coordinates.

‎lib/matplotlib/axes/_secondary_axes.py

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_secax_docstring = '''
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Warnings
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This method is experimental as of 3.1, and the API may change.
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Parameters

‎lib/matplotlib/backend_bases.py

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Examples
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>>> timer = fig.canvas.new_timer(callbacks=[(f1, (1, ), {'a': 3}),])
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"""

‎lib/matplotlib/backends/backend_pdf.py

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Examples
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>>> import matplotlib.pyplot as plt
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>>> # Initialize:
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>>> with PdfPages('foo.pdf') as pdf:
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Notes
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In reality :class:`PdfPages` is a thin wrapper around :class:`PdfFile`, in
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forgetting the format argument.
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Plots using :meth:`PdfPages.savefig` will be written to a file at
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this location. The file is opened at once and any older file with
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Specifies what figure is saved to file. If not specified, the
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active figure is saved. If a :class:`~matplotlib.figure.Figure`

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