8000 DOC: fix typos · adrn/matplotlib@51e9874 · GitHub
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DOC: fix typos
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‎examples/lines_bars_and_markers/fill.py‎

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -62,7 +62,7 @@ def _koch_snowflake_complex(order):
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plt.show()
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###############################################################################
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# Use keyword arguments *facecolor* and *edgecolor* to modify the the colors
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# Use keyword arguments *facecolor* and *edgecolor* to modify the colors
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# of the polygon. Since the *linewidth* of the edge is 0 in the default
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# Matplotlib style, we have to set it as well for the edge to become visible.
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‎lib/matplotlib/__init__.py‎

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Original file line numberDiff line numberDiff line change
@@ -457,7 +457,7 @@ def _get_config_or_cache_dir(xdg_base):
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@_logged_cached('CONFIGDIR=%s')
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def get_configdir():
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"""
460-
Return the string path of the the configuration directory.
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Return the string path of the configuration directory.
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The directory is chosen as follows:
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‎lib/matplotlib/animation.py‎

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@@ -1785,7 +1785,7 @@ def _draw_frame(self, framedata):
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except TypeError:
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raise err from None
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# check each item if is artist
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# check each item if it's artist
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for i in self._drawn_artists:
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if not isinstance(i, mpl.artist.Artist):
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raise err

‎lib/matplotlib/artist.py‎

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Original file line numberDiff line numberDiff line change
@@ -1578,7 +1578,7 @@ def getp(obj, property=None):
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If *property* is 'somename', this function returns
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``obj.get_somename()``.
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1581-
If is is None (or unset), it *prints* all gettable properties from
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If it's None (or unset), it *prints* all gettable properties from
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*obj*. Many properties have aliases for shorter typing, e.g. 'lw' is
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an alias for 'linewidth'. In the output, aliases and full property
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names will be listed as:

‎lib/matplotlib/axis.py‎

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@@ -976,7 +976,7 @@ def set_default_intervals(self):
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# interface provides a hook for custom types to register
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# default limits through the AxisInfo.default_limits
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# attribute, and the derived code below will check for that
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# and use it if is available (else just use 0..1)
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# and use it if it's available (else just use 0..1)
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def _set_artist_props(self, a):
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if a is None:

‎lib/matplotlib/backend_bases.py‎

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Original file line numberDiff line numberDiff line change
@@ -1591,7 +1591,7 @@ def _no_output_draw(figure):
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def _is_non_interactive_terminal_ipython(ip):
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"""
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Return whether we are in a a terminal IPython, but non interactive.
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Return whether we are in a terminal IPython, but non interactive.
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When in _terminal_ IPython, ip.parent will have and `interact` attribute,
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if this attribute is False we do not setup eventloop integration as the

‎lib/matplotlib/backend_managers.py‎

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@@ -219,7 +219,7 @@ def remove_tool(self, name):
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tool = self.get_tool(name)
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tool.destroy()
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# If is a toggle tool and toggled, untoggle
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# If it's a toggle tool and toggled, untoggle
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if getattr(tool, 'toggled', False):
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self.trigger_tool(tool, 'toolmanager')
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‎lib/matplotlib/backends/backend_wx.py‎

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@@ -115,7 +115,7 @@ class RendererWx(RendererBase):
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# wxPython allows for portable font styles, choosing them appropriately for
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# the target platform. Map some standard font names to the portable styles.
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# QUESTION: Is it be wise to agree standard fontnames across all backends?
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# QUESTION: Is it wise to agree to standard fontnames across all backends?
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fontnames = {
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'Sans': wx.FONTFAMILY_SWISS,
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'Roman': wx.FONTFAMILY_ROMAN,

‎lib/matplotlib/cbook/__init__.py‎

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Original file line numberDiff line numberDiff line change
@@ -1495,7 +1495,7 @@ def violin_stats(X, method, points=100, quantiles=None):
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# Want quantiles to be as the same shape as data sequences
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if quantiles is not None and len(quantiles) != 0:
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quantiles = _reshape_2D(quantiles, "quantiles")
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# Else, mock quantiles if is none or empty
1498+
# Else, mock quantiles if it's none or empty
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else:
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quantiles = [[]] * len(X)
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‎lib/matplotlib/colors.py‎

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Original file line numberDiff line numberDiff line change
@@ -1272,7 +1272,7 @@ def __init__(self, vcenter, vmin=None, vmax=None):
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Defaults to the min value of the dataset.
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vmax : float, optional
12741274
The data value that defines ``1.0`` in the normalization.
1275-
Defaults to the the max value of the dataset.
1275+
Defaults to the max value of the dataset.
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Examples
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--------
@@ -1739,7 +1739,7 @@ def __call__(self, value, clip=None):
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else:
17401740
max_col = self.Ncmap
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# this gives us the bins in the lookup table in the range
1742-
# [0, _n_regions - 1] (the offset is baked in in the init)
1742+
# [0, _n_regions - 1] (the offset is baked in the init)
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iret = np.digitize(xx, self.boundaries) - 1 + self._offset
17441744
# if we have more colors than regions, stretch the region
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# index computed above to full range of the color bins. This

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