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DOC: move usage tutorial info to Users guide rst [skip actions] [skip azp] [skip appveyor]
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doc/users/getting_started.rst

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@@ -22,14 +22,9 @@ Installation
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conda install matplotlib
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Further details are available in the :doc:`Installation Guide </users/installing>`.
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Choosing a backend
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------------------
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Matplotlib needs a "backend" to render your figure, either in its own GUI window,
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as part of a notebook, or saved as an image to disk. If you need more information on
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choosing a backend, see :ref:`backends`.
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Further details are available in the :doc:`Installation Guide </users/installing>`. If a
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plot does not show up, we probably could not automatically find an appropriate backend; please
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check :ref:`troubleshooting-faq`.
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Draw a first plot
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-----------------

lib/matplotlib/artist.py

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@@ -300,7 +300,7 @@ def stale(self, val):
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if val and self.stale_callback is not None:
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self.stale_callback(self, val)
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def get_window_extent(self, renderer):
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def get_window_extent(self, renderer=None):
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"""
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Get the axes bounding box in display space.
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lib/matplotlib/collections.py

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@@ -303,7 +303,7 @@ def get_datalim(self, transData):
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return bbox
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return transforms.Bbox.null()
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def get_window_extent(self, renderer):
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def get_window_extent(self, renderer=None):
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# TODO: check to ensure that this does not fail for
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# cases other than scatter plot legend
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return self.get_datalim(transforms.IdentityTransform())

lib/matplotlib/image.py

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@@ -1409,12 +1409,11 @@ def __init__(self, bbox,
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self.bbox = bbox
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def get_window_extent(self, renderer=None):
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if renderer is None:
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renderer = self.get_figure()._cachedRenderer
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if isinstance(self.bbox, BboxBase):
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return self.bbox
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elif callable(self.bbox):
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if renderer is None:
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renderer = self.get_figure()._cachedRenderer
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return self.bbox(renderer)
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else:
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raise ValueError("Unknown type of bbox")

lib/matplotlib/lines.py

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@@ -619,7 +619,7 @@ def set_picker(self, p):
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self.pickradius = p
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self._picker = p
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def get_window_extent(self, renderer):
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def get_window_extent(self, renderer=None):
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bbox = Bbox([[0, 0], [0, 0]])
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trans_data_to_xy = self.get_transform().transform
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bbox.update_from_data_xy(trans_data_to_xy(self.get_xydata()),

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