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from ._subplots import *
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from ._axes import *
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import collections
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import numpy as np
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import numbers
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import warnings
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import matplotlib.docstring as docstring
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import matplotlib.ticker as mticker
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import matplotlib.transforms as mtransforms
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import matplotlib.scale as mscale
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import matplotlib.cbook as cbook
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from matplotlib.axes._base import _AxesBase
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from matplotlib.ticker import (
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AutoLocator,
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AutoMinorLocator,
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FixedLocator,
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FuncFormatter,
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LogFormatterSciNotation,
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LogLocator,
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NullLocator,
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NullFormatter,
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ScalarFormatter
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)
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from matplotlib.scale import Log10Transform
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def _make_secondary_locator(rect, parent):
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"""
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Helper function to locate the secondary axes.
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A locator gets used in `Axes.set_aspect` to override the default
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locations... It is a function that takes an axes object and
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a renderer and tells `set_aspect` where it is to be placed.
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This locator make the transform be in axes-relative co-coordinates
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because that is how we specify the "location" of the secondary axes.
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Here *rect* is a rectangle [l, b, w, h] that specifies the
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location for the axes in the transform given by *trans* on the
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*parent*.
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"""
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_rect = mtransforms.Bbox.from_bounds(*rect)
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def secondary_locator(ax, renderer):
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# delay evaluating transform until draw time because the
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# parent transform may have changed (i.e. if window reesized)
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bb = mtransforms.TransformedBbox(_rect, parent.transAxes)
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tr = parent.figure.transFigure.inverted()
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bb = mtransforms.TransformedBbox(bb, tr)
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return bb
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return secondary_locator
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class SecondaryAxis(_AxesBase):
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"""
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General class to hold a Secondary_X/Yaxis.
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"""
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def __init__(self, parent, orientation,
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location, functions, **kwargs):
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"""
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See `.secondary_xaxis` and `.secondary_yaxis` for the doc string.
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While there is no need for this to be private, it should really be
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called by those higher level functions.
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"""
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self._functions = functions
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self._parent = parent
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self._orientation = orientation
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self._ticks_set = False
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if self._orientation == 'x':
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super().__init__(self._parent.figure, [0, 1., 1, 0.0001], **kwargs)
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self._axis = self.xaxis
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self._locstrings = ['top', 'bottom']
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self._otherstrings = ['left', 'right']
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elif self._orientation == 'y':
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super().__init__(self._parent.figure, [0, 1., 0.0001, 1], **kwargs)
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self._axis = self.yaxis
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self._locstrings = ['right', 'left']
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self._otherstrings = ['top', 'bottom']
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# this gets positioned w/o constrained_layout so exclude:
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self._layoutbox = None
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self._poslayoutbox = None
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self.set_location(location)
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self.set_functions(functions)
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# styling:
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if self._orientation == 'x':
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otheraxis = self.yaxis
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else:
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otheraxis = self.xaxis
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otheraxis.set_major_locator(mticker.NullLocator())
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otheraxis.set_ticks_position('none')
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for st in self._otherstrings:
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self.spines[st].set_visible(False)
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for st in self._locstrings:
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self.spines[st].set_visible(True)
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if self._pos < 0.5:
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# flip the location strings...
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self._locstrings = self._locstrings[::-1]
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self.set_alignment(self._locstrings[0])
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def set_alignment(self, align):
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"""
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Set if axes spine and labels are drawn at top or bottom (or left/right)
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of the axes.
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Parameters
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----------
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align :: string
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either 'top' or 'bottom' for orientation='x' or
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'left' or 'right' for orientation='y' axis
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"""
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if align in self._locstrings:
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if align == self._locstrings[1]:
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# need to change the orientation.
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self._locstrings = self._locstrings[::-1]
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elif align != self._locstrings[0]:
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raise ValueError('"{}" is not a valid axis orientation, '
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'not changing the orientation;'
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'choose "{}" or "{}""'.format(align,
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self._locstrings[0], self._locstrings[1]))
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self.spines[self._locstrings[0]].set_visible(True)
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self.spines[self._locstrings[1]].set_visible(False)
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self._axis.set_ticks_position(align)
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self._axis.set_label_position(align)
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def set_location(self, location):
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"""
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Set the vertical or horizontal location of the axes in
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parent-normalized co-ordinates.
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Parameters
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----------
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location : string or scalar
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The position to put the secondary axis. Strings can be 'top' or
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'bottom' for orientation='x' and 'right' or 'left' for
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orientation='y', scalar can be a float indicating the relative
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position on the parent axes to put the new axes, 0.0 being the
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bottom (or left) and 1.0 being the top (or right).
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"""
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# This puts the rectangle into figure-relative coordinates.
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if isinstance(location, str):
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if location in ['top', 'right']:
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self._pos = 1.
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elif location in ['bottom', 'left']:
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self._pos = 0.
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else:
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raise ValueError("location must be '{}', '{}', or a "
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"float, not '{}'".format(location,
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self._locstrings[0], self._locstrings[1]))
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else:
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self._pos = location
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self._loc = location
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if self._orientation == 'x':
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bounds = [0, self._pos, 1., 1e-10]
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else:
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bounds = [self._pos, 0, 1e-10, 1]
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secondary_locator = _make_secondary_locator(bounds, self._parent)
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# this locator lets the axes move in the parent axes coordinates.
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# so it never needs to know where the parent is explicitly in
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# figure co-ordinates.
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# it gets called in `ax.apply_aspect() (of all places)
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self.set_axes_locator(secondary_locator)
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def apply_aspect(self, position=None):
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self._set_lims()
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super().apply_aspect(position)
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def set_ticks(self, ticks, minor=False):
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"""
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Set the x ticks with list of *ticks*
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Parameters
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----------
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ticks : list
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List of x-axis tick locations.
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minor : bool, optional
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If ``False`` sets major ticks, if ``True`` sets minor ticks.
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Default is ``False``.
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"""
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ret = self._axis.set_ticks(ticks, minor=minor)
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self.stale = True
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self._ticks_set = True
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return ret
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def set_functions(self, functions):
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"""
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Set how the secondary axis converts limits from the parent axes.
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Parameters
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----------
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functions : 2-tuple of func, or `Transform` with an inverse.
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Transform between the parent axis values and the secondary axis
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values.
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If supplied as a 2-tuple of functions, the first function is
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the forward transform function and the second is the inverse
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transform.
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If a transform is supplied, then the transform must have an
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inverse.
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"""
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if self._orientation == 'x':
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set_scale = self.set_xscale
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parent_scale = self._parent.get_xscale()
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else:
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set_scale = self.set_yscale
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parent_scale = self._parent.get_yscale()
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# we need to use a modified scale so the scale can receive the
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# transform. Only types supported are linear and log10 for now.
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# Probably possible to add other transforms as a todo...
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if parent_scale == 'log':
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defscale = 'functionlog'
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else:
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defscale = 'function'
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if (isinstance(functions, tuple) and len(functions) == 2 and
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callable(functions[0]) and callable(functions[1])):
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# make an arbitrary convert from a two-tuple of functions
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# forward and inverse.
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self._functions = functions
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elif functions is None:
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self._functions = (lambda x: x, lambda x: x)
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else:
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raise ValueError('functions argument of secondary axes '
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'must be a two-tuple of callable functions '
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'with the first function being the transform '
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'and the second being the inverse')
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# need to invert the roles here for the ticks to line up.
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set_scale(defscale, functions=self._functions[::-1])
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def draw(self, renderer=None, inframe=False):
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"""
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Draw the secondary axes.
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Consults the parent axes for its limits and converts them
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using the converter specified by
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`~.axes._secondary_axes.set_functions` (or *functions*
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parameter when axes initialized.)
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"""
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self._set_lims()
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# this sets the scale in case the parent has set its scale.
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self._set_scale()
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super().draw(renderer=renderer, inframe=inframe)
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def _set_scale(self):
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"""
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Check if parent has set its scale
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"""
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if self._orientation == 'x':
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pscale = self._parent.xaxis.get_scale()
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set_scale = self.set_xscale
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if self._orientation == 'y':
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pscale = self._parent.yaxis.get_scale()
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set_scale = self.set_yscale
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if pscale == 'log':
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defscale = 'functionlog'
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else:
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defscale = 'function'
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if self._ticks_set:
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ticks = self._axis.get_ticklocs()
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# need to invert the roles here for the ticks to line up.
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set_scale(defscale, functions=self._functions[::-1])
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# OK, set_scale sets the locators, but if we've called
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# axsecond.set_ticks, we want to keep those.
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if self._ticks_set:
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self._axis.set_major_locator(FixedLocator(ticks))
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def _set_lims(self):
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"""
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Set the limits based on parent limits and the convert method
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between the parent and this secondary axes
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"""
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if self._orientation == 'x':
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lims = self._parent.get_xlim()
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set_lim = self.set_xlim
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trans = self.xaxis.get_transform()
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if self._orientation == 'y':
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lims = self._parent.get_ylim()
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set_lim = self.set_ylim
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trans = self.yaxis.get_transform()
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order = lims[0] < lims[1]
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lims = self._functions[0](np.array(lims))
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neworder = lims[0] < lims[1]
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if neworder != order:
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# flip because the transform will take care of the flipping..
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lims = lims[::-1]
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set_lim(lims)
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def get_tightbbox(self, renderer, call_axes_locator=True):
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"""
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Return the tight bounding box of the axes.
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The dimension of the Bbox in canvas coordinate.
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If *call_axes_locator* is *False*, it does not call the
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_axes_locator attribute, which is necessary to get the correct
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bounding box. ``call_axes_locator==False`` can be used if the
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caller is only intereted in the relative size of the tightbbox
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compared to the axes bbox.
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"""
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bb = []
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if not self.get_visible():
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return None
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self._set_lims()
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locator = self.get_axes_locator()
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if locator and call_axes_locator:
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pos = locator(self, renderer)
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self.apply_aspect(pos)
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else:
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self.apply_aspect()
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if self._orientation == 'x':
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bb_axis = self.xaxis.get_tightbbox(renderer)
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else:
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bb_axis = self.yaxis.get_tightbbox(renderer)
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if bb_axis:
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bb.append(bb_axis)
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bb.append(self.get_window_extent(renderer))
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_bbox = mtransforms.Bbox.union(
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[b for b in bb if b.width != 0 or b.height != 0])
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return _bbox
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def set_aspect(self, *args, **kwargs):
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"""
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Secondary axes cannot set the aspect ratio, so calling this just
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sets a warning.
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"""
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cbook._warn_external("Secondary axes can't set the aspect ratio")
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def set_xlabel(self, xlabel, fontdict=None, labelpad=None, **kwargs):
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"""
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Set the label for the x-axis.
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Parameters
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----------
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xlabel : str
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The label text.
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labelpad : scalar, optional, default: None
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Spacing in points between the label and the x-axis.
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Other Parameters
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----------------
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**kwargs : `.Text` properties
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`.Text` properties control the appearance of the label.
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See also
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--------
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text : for information on how override and the optional args work
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"""
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if labelpad is not None:
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self.xaxis.labelpad = labelpad
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return self.xaxis.set_label_text(xlabel, fontdict, **kwargs)
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def set_ylabel(self, ylabel, fontdict=None, labelpad=None, **kwargs):
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"""
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Set the label for the x-axis.
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Parameters
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----------
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ylabel : str
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The label text.
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labelpad : scalar, optional, default: None
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Spacing in points between the label and the x-axis.
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Other Parameters
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----------------
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**kwargs : `.Text` properties
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`.Text` properties control the appearance of the label.
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See also
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--------
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text : for information on how override and the optional args work
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"""
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if labelpad is not None:
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self.yaxis.labelpad = labelpad
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return self.yaxis.set_label_text(ylabel, fontdict, **kwargs)
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def set_color(self, color):
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"""
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Change the color of the secondary axes and all decorators
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Parameters
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----------
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color : Matplotlib color
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"""
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if self._orientation == 'x':
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self.tick_params(axis='x', colors=color)
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self.spines['bottom'].set_color(color)
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self.spines['top'].set_color(color)
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self.xaxis.label.set_color(color)
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else:
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self.tick_params(axis='y', colors=color)
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self.spines['left'].set_color(color)
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self.spines['right'].set_color(color)
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self.yaxis.label.set_color(color)
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_secax_docstring = '''
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Warnings
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--------
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This method is experimental as of 3.1, and the API may change.
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Parameters
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----------
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location : string or scalar
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The position to put the secondary axis. Strings can be 'top' or
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'bottom', for x-oriented axises or 'left' or 'right' for y-oriented axises
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or a scalar can be a float indicating the relative position
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on the axes to put the new axes (0 being the bottom (left), and 1.0 being
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the top (right).)
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functions : 2-tuple of func, or Transform with an inverse
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If a 2-tuple of functions, the user specifies the transform
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function and its inverse. i.e.
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`functions=(lambda x: 2 / x, lambda x: 2 / x)` would be an
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reciprocal transform with a factor of 2.
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The user can also directly supply a subclass of
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`.transforms.Transform` so long as it has an inverse.
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See :doc:`/gallery/subplots_axes_and_figures/secondary_axis`
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for examples of making these conversions.
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Other Parameters
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----------------
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**kwargs : `~matplotlib.axes.Axes` properties.
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Other miscellaneous axes parameters.
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Returns
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-------
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ax : axes._secondary_axes.SecondaryAxis
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'''
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docstring.interpd.update(_secax_docstring=_secax_docstring)
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@@ -0,0 +1,241 @@
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import functools
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import uuid
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from matplotlib import cbook, docstring
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import matplotlib.artist as martist
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from matplotlib.axes._axes import Axes
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from matplotlib.gridspec import GridSpec, SubplotSpec
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import matplotlib._layoutbox as layoutbox
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class SubplotBase(object):
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"""
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Base class for subplots, which are :class:`Axes` instances with
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additional methods to facilitate generating and manipulating a set
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of :class:`Axes` within a figure.
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||||
"""
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||||
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||||
def __init__(self, fig, *args, **kwargs):
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||||
"""
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||||
*fig* is a :class:`matplotlib.figure.Figure` instance.
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||||
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||||
*args* is the tuple (*numRows*, *numCols*, *plotNum*), where
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||||
the array of subplots in the figure has dimensions *numRows*,
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||||
*numCols*, and where *plotNum* is the number of the subplot
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||||
being created. *plotNum* starts at 1 in the upper left
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corner and increases to the right.
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||||
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||||
If *numRows* <= *numCols* <= *plotNum* < 10, *args* can be the
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||||
decimal integer *numRows* * 100 + *numCols* * 10 + *plotNum*.
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||||
"""
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||||
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||||
self.figure = fig
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||||
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||||
if len(args) == 1:
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||||
if isinstance(args[0], SubplotSpec):
|
||||
self._subplotspec = args[0]
|
||||
else:
|
||||
try:
|
||||
s = str(int(args[0]))
|
||||
rows, cols, num = map(int, s)
|
||||
except ValueError:
|
||||
raise ValueError('Single argument to subplot must be '
|
||||
'a 3-digit integer')
|
||||
self._subplotspec = GridSpec(rows, cols,
|
||||
figure=self.figure)[num - 1]
|
||||
# num - 1 for converting from MATLAB to python indexing
|
||||
elif len(args) == 3:
|
||||
rows, cols, num = args
|
||||
rows = int(rows)
|
||||
cols = int(cols)
|
||||
if isinstance(num, tuple) and len(num) == 2:
|
||||
num = [int(n) for n in num]
|
||||
self._subplotspec = GridSpec(
|
||||
rows, cols,
|
||||
figure=self.figure)[(num[0] - 1):num[1]]
|
||||
else:
|
||||
if num < 1 or num > rows*cols:
|
||||
raise ValueError(
|
||||
f"num must be 1 <= num <= {rows*cols}, not {num}")
|
||||
self._subplotspec = GridSpec(
|
||||
rows, cols, figure=self.figure)[int(num) - 1]
|
||||
# num - 1 for converting from MATLAB to python indexing
|
||||
else:
|
||||
raise ValueError(f'Illegal argument(s) to subplot: {args}')
|
||||
|
||||
self.update_params()
|
||||
|
||||
# _axes_class is set in the subplot_class_factory
|
||||
self._axes_class.__init__(self, fig, self.figbox, **kwargs)
|
||||
# add a layout box to this, for both the full axis, and the poss
|
||||
# of the axis. We need both because the axes may become smaller
|
||||
# due to parasitic axes and hence no longer fill the subplotspec.
|
||||
if self._subplotspec._layoutbox is None:
|
||||
self._layoutbox = None
|
||||
self._poslayoutbox = None
|
||||
else:
|
||||
name = self._subplotspec._layoutbox.name + '.ax'
|
||||
name = name + layoutbox.seq_id()
|
||||
self._layoutbox = layoutbox.LayoutBox(
|
||||
parent=self._subplotspec._layoutbox,
|
||||
name=name,
|
||||
artist=self)
|
||||
self._poslayoutbox = layoutbox.LayoutBox(
|
||||
parent=self._layoutbox,
|
||||
name=self._layoutbox.name+'.pos',
|
||||
pos=True, subplot=True, artist=self)
|
||||
|
||||
def __reduce__(self):
|
||||
# get the first axes class which does not inherit from a subplotbase
|
||||
axes_class = next(
|
||||
c for c in type(self).__mro__
|
||||
if issubclass(c, Axes) and not issubclass(c, SubplotBase))
|
||||
return (_picklable_subplot_class_constructor,
|
||||
(axes_class,),
|
||||
self.__getstate__())
|
||||
|
||||
def get_geometry(self):
|
||||
"""get the subplot geometry, e.g., 2,2,3"""
|
||||
rows, cols, num1, num2 = self.get_subplotspec().get_geometry()
|
||||
return rows, cols, num1 + 1 # for compatibility
|
||||
|
||||
# COVERAGE NOTE: Never used internally or from examples
|
||||
def change_geometry(self, numrows, numcols, num):
|
||||
"""change subplot geometry, e.g., from 1,1,1 to 2,2,3"""
|
||||
self._subplotspec = GridSpec(numrows, numcols,
|
||||
figure=self.figure)[num - 1]
|
||||
self.update_params()
|
||||
self.set_position(self.figbox)
|
||||
|
||||
def get_subplotspec(self):
|
||||
"""get the SubplotSpec instance associated with the subplot"""
|
||||
return self._subplotspec
|
||||
|
||||
def set_subplotspec(self, subplotspec):
|
||||
"""set the SubplotSpec instance associated with the subplot"""
|
||||
self._subplotspec = subplotspec
|
||||
|
||||
def get_gridspec(self):
|
||||
"""get the GridSpec instance associated with the subplot"""
|
||||
return self._subplotspec.get_gridspec()
|
||||
|
||||
def update_params(self):
|
||||
"""update the subplot position from fig.subplotpars"""
|
||||
|
||||
self.figbox, self.rowNum, self.colNum, self.numRows, self.numCols = \
|
||||
self.get_subplotspec().get_position(self.figure,
|
||||
return_all=True)
|
||||
|
||||
def is_first_col(self):
|
||||
return self.colNum == 0
|
||||
|
||||
def is_first_row(self):
|
||||
return self.rowNum == 0
|
||||
|
||||
def is_last_row(self):
|
||||
return self.rowNum == self.numRows - 1
|
||||
|
||||
def is_last_col(self):
|
||||
return self.colNum == self.numCols - 1
|
||||
|
||||
# COVERAGE NOTE: Never used internally.
|
||||
def label_outer(self):
|
||||
"""Only show "outer" labels and tick labels.
|
||||
|
||||
x-labels are only kept for subplots on the last row; y-labels only for
|
||||
subplots on the first column.
|
||||
"""
|
||||
lastrow = self.is_last_row()
|
||||
firstcol = self.is_first_col()
|
||||
if not lastrow:
|
||||
for label in self.get_xticklabels(which="both"):
|
||||
label.set_visible(False)
|
||||
self.get_xaxis().get_offset_text().set_visible(False)
|
||||
self.set_xlabel("")
|
||||
if not firstcol:
|
||||
for label in self.get_yticklabels(which="both"):
|
||||
label.set_visible(False)
|
||||
self.get_yaxis().get_offset_text().set_visible(False)
|
||||
self.set_ylabel("")
|
||||
|
||||
def _make_twin_axes(self, *args, **kwargs):
|
||||
"""
|
||||
Make a twinx axes of self. This is used for twinx and twiny.
|
||||
"""
|
||||
if 'sharex' in kwargs and 'sharey' in kwargs:
|
||||
# The following line is added in v2.2 to avoid breaking Seaborn,
|
||||
# which currently uses this internal API.
|
||||
if kwargs["sharex"] is not self and kwargs["sharey"] is not self:
|
||||
raise ValueError("Twinned Axes may share only one axis")
|
||||
# The dance here with label is to force add_subplot() to create a new
|
||||
# Axes (by passing in a label never seen before). Note that this does
|
||||
# not affect plot reactivation by subplot() as twin axes can never be
|
||||
# reactivated by subplot().
|
||||
sentinel = str(uuid.uuid4())
|
||||
real_label = kwargs.pop("label", sentinel)
|
||||
twin = self.figure.add_subplot(
|
||||
self.get_subplotspec(), *args, label=sentinel, **kwargs)
|
||||
if real_label is not sentinel:
|
||||
twin.set_label(real_label)
|
||||
self.set_adjustable('datalim')
|
||||
twin.set_adjustable('datalim')
|
||||
if self._layoutbox is not None and twin._layoutbox is not None:
|
||||
# make the layout boxes be explicitly the same
|
||||
twin._layoutbox.constrain_same(self._layoutbox)
|
||||
twin._poslayoutbox.constrain_same(self._poslayoutbox)
|
||||
self._twinned_axes.join(self, twin)
|
||||
return twin
|
||||
|
||||
|
||||
# this here to support cartopy which was using a private part of the
|
||||
# API to register their Axes subclasses.
|
||||
|
||||
# In 3.1 this should be changed to a dict subclass that warns on use
|
||||
# In 3.3 to a dict subclass that raises a useful exception on use
|
||||
# In 3.4 should be removed
|
||||
|
||||
# The slow timeline is to give cartopy enough time to get several
|
||||
# release out before we break them.
|
||||
_subplot_classes = {}
|
||||
|
||||
|
||||
@functools.lru_cache(None)
|
||||
def subplot_class_factory(axes_class=None):
|
||||
"""
|
||||
This makes a new class that inherits from `.SubplotBase` and the
|
||||
given axes_class (which is assumed to be a subclass of `.axes.Axes`).
|
||||
This is perhaps a little bit roundabout to make a new class on
|
||||
the fly like this, but it means that a new Subplot class does
|
||||
not have to be created for every type of Axes.
|
||||
"""
|
||||
if axes_class is None:
|
||||
axes_class = Axes
|
||||
try:
|
||||
# Avoid creating two different instances of GeoAxesSubplot...
|
||||
# Only a temporary backcompat fix. This should be removed in
|
||||
# 3.4
|
||||
return next(cls for cls in SubplotBase.__subclasses__()
|
||||
if cls.__bases__ == (SubplotBase, axes_class))
|
||||
except StopIteration:
|
||||
return type("%sSubplot" % axes_class.__name__,
|
||||
(SubplotBase, axes_class),
|
||||
{'_axes_class': axes_class})
|
||||
|
||||
|
||||
# This is provided for backward compatibility
|
||||
Subplot = subplot_class_factory()
|
||||
|
||||
|
||||
def _picklable_subplot_class_constructor(axes_class):
|
||||
"""
|
||||
This stub class exists to return the appropriate subplot class when called
|
||||
with an axes class. This is purely to allow pickling of Axes and Subplots.
|
||||
"""
|
||||
subplot_class = subplot_class_factory(axes_class)
|
||||
return subplot_class.__new__(subplot_class)
|
||||
|
||||
|
||||
docstring.interpd.update(Axes=martist.kwdoc(Axes))
|
||||
docstring.dedent_interpd(Axes.__init__)
|
||||
|
||||
docstring.interpd.update(Subplot=martist.kwdoc(Axes))
|
||||
Reference in New Issue
Block a user