Revert "Delete .venv directory"

This reverts commit 5a2693bd9f.
This commit is contained in:
Untriex Programming
2021-08-31 22:26:50 +02:00
parent fd493a708d
commit 6544d16770
5105 changed files with 1440072 additions and 0 deletions

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from . import axes_size as Size
from .axes_divider import Divider, SubplotDivider, make_axes_locatable
from .axes_grid import Grid, ImageGrid, AxesGrid
from .parasite_axes import host_subplot, host_axes

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from matplotlib import transforms
from matplotlib.offsetbox import (AnchoredOffsetbox, AuxTransformBox,
DrawingArea, TextArea, VPacker)
from matplotlib.patches import (Rectangle, Ellipse, ArrowStyle,
FancyArrowPatch, PathPatch)
from matplotlib.text import TextPath
__all__ = ['AnchoredDrawingArea', 'AnchoredAuxTransformBox',
'AnchoredEllipse', 'AnchoredSizeBar', 'AnchoredDirectionArrows']
class AnchoredDrawingArea(AnchoredOffsetbox):
def __init__(self, width, height, xdescent, ydescent,
loc, pad=0.4, borderpad=0.5, prop=None, frameon=True,
**kwargs):
"""
An anchored container with a fixed size and fillable DrawingArea.
Artists added to the *drawing_area* will have their coordinates
interpreted as pixels. Any transformations set on the artists will be
overridden.
Parameters
----------
width, height : float
width and height of the container, in pixels.
xdescent, ydescent : float
descent of the container in the x- and y- direction, in pixels.
loc : int
Location of this artist. Valid location codes are::
'upper right' : 1,
'upper left' : 2,
'lower left' : 3,
'lower right' : 4,
'right' : 5,
'center left' : 6,
'center right' : 7,
'lower center' : 8,
'upper center' : 9,
'center' : 10
pad : float, default: 0.4
Padding around the child objects, in fraction of the font size.
borderpad : float, default: 0.5
Border padding, in fraction of the font size.
prop : `matplotlib.font_manager.FontProperties`, optional
Font property used as a reference for paddings.
frameon : bool, default: True
If True, draw a box around this artists.
**kwargs
Keyworded arguments to pass to
:class:`matplotlib.offsetbox.AnchoredOffsetbox`.
Attributes
----------
drawing_area : `matplotlib.offsetbox.DrawingArea`
A container for artists to display.
Examples
--------
To display blue and red circles of different sizes in the upper right
of an axes *ax*:
>>> ada = AnchoredDrawingArea(20, 20, 0, 0,
... loc='upper right', frameon=False)
>>> ada.drawing_area.add_artist(Circle((10, 10), 10, fc="b"))
>>> ada.drawing_area.add_artist(Circle((30, 10), 5, fc="r"))
>>> ax.add_artist(ada)
"""
self.da = DrawingArea(width, height, xdescent, ydescent)
self.drawing_area = self.da
super().__init__(
loc, pad=pad, borderpad=borderpad, child=self.da, prop=None,
frameon=frameon, **kwargs
)
class AnchoredAuxTransformBox(AnchoredOffsetbox):
def __init__(self, transform, loc,
pad=0.4, borderpad=0.5, prop=None, frameon=True, **kwargs):
"""
An anchored container with transformed coordinates.
Artists added to the *drawing_area* are scaled according to the
coordinates of the transformation used. The dimensions of this artist
will scale to contain the artists added.
Parameters
----------
transform : `matplotlib.transforms.Transform`
The transformation object for the coordinate system in use, i.e.,
:attr:`matplotlib.axes.Axes.transData`.
loc : int
Location of this artist. Valid location codes are::
'upper right' : 1,
'upper left' : 2,
'lower left' : 3,
'lower right' : 4,
'right' : 5,
'center left' : 6,
'center right' : 7,
'lower center' : 8,
'upper center' : 9,
'center' : 10
pad : float, default: 0.4
Padding around the child objects, in fraction of the font size.
borderpad : float, default: 0.5
Border padding, in fraction of the font size.
prop : `matplotlib.font_manager.FontProperties`, optional
Font property used as a reference for paddings.
frameon : bool, default: True
If True, draw a box around this artists.
**kwargs
Keyworded arguments to pass to
:class:`matplotlib.offsetbox.AnchoredOffsetbox`.
Attributes
----------
drawing_area : `matplotlib.offsetbox.AuxTransformBox`
A container for artists to display.
Examples
--------
To display an ellipse in the upper left, with a width of 0.1 and
height of 0.4 in data coordinates:
>>> box = AnchoredAuxTransformBox(ax.transData, loc='upper left')
>>> el = Ellipse((0, 0), width=0.1, height=0.4, angle=30)
>>> box.drawing_area.add_artist(el)
>>> ax.add_artist(box)
"""
self.drawing_area = AuxTransformBox(transform)
super().__init__(loc, pad=pad, borderpad=borderpad,
child=self.drawing_area, prop=prop, frameon=frameon,
**kwargs)
class AnchoredEllipse(AnchoredOffsetbox):
def __init__(self, transform, width, height, angle, loc,
pad=0.1, borderpad=0.1, prop=None, frameon=True, **kwargs):
"""
Draw an anchored ellipse of a given size.
Parameters
----------
transform : `matplotlib.transforms.Transform`
The transformation object for the coordinate system in use, i.e.,
:attr:`matplotlib.axes.Axes.transData`.
width, height : float
Width and height of the ellipse, given in coordinates of
*transform*.
angle : float
Rotation of the ellipse, in degrees, anti-clockwise.
loc : int
Location of this size bar. Valid location codes are::
'upper right' : 1,
'upper left' : 2,
'lower left' : 3,
'lower right' : 4,
'right' : 5,
'center left' : 6,
'center right' : 7,
'lower center' : 8,
'upper center' : 9,
'center' : 10
pad : float, optional
Padding around the ellipse, in fraction of the font size. Defaults
to 0.1.
borderpad : float, default: 0.1
Border padding, in fraction of the font size.
frameon : bool, default: True
If True, draw a box around the ellipse.
prop : `matplotlib.font_manager.FontProperties`, optional
Font property used as a reference for paddings.
**kwargs
Keyworded arguments to pass to
:class:`matplotlib.offsetbox.AnchoredOffsetbox`.
Attributes
----------
ellipse : `matplotlib.patches.Ellipse`
Ellipse patch drawn.
"""
self._box = AuxTransformBox(transform)
self.ellipse = Ellipse((0, 0), width, height, angle)
self._box.add_artist(self.ellipse)
super().__init__(loc, pad=pad, borderpad=borderpad, child=self._box,
prop=prop, frameon=frameon, **kwargs)
class AnchoredSizeBar(AnchoredOffsetbox):
def __init__(self, transform, size, label, loc,
pad=0.1, borderpad=0.1, sep=2,
frameon=True, size_vertical=0, color='black',
label_top=False, fontproperties=None, fill_bar=None,
**kwargs):
"""
Draw a horizontal scale bar with a center-aligned label underneath.
Parameters
----------
transform : `matplotlib.transforms.Transform`
The transformation object for the coordinate system in use, i.e.,
:attr:`matplotlib.axes.Axes.transData`.
size : float
Horizontal length of the size bar, given in coordinates of
*transform*.
label : str
Label to display.
loc : int
Location of this size bar. Valid location codes are::
'upper right' : 1,
'upper left' : 2,
'lower left' : 3,
'lower right' : 4,
'right' : 5,
'center left' : 6,
'center right' : 7,
'lower center' : 8,
'upper center' : 9,
'center' : 10
pad : float, default: 0.1
Padding around the label and size bar, in fraction of the font
size.
borderpad : float, default: 0.1
Border padding, in fraction of the font size.
sep : float, default: 2
Separation between the label and the size bar, in points.
frameon : bool, default: True
If True, draw a box around the horizontal bar and label.
size_vertical : float, default: 0
Vertical length of the size bar, given in coordinates of
*transform*.
color : str, default: 'black'
Color for the size bar and label.
label_top : bool, default: False
If True, the label will be over the size bar.
fontproperties : `matplotlib.font_manager.FontProperties`, optional
Font properties for the label text.
fill_bar : bool, optional
If True and if size_vertical is nonzero, the size bar will
be filled in with the color specified by the size bar.
Defaults to True if *size_vertical* is greater than
zero and False otherwise.
**kwargs
Keyworded arguments to pass to
:class:`matplotlib.offsetbox.AnchoredOffsetbox`.
Attributes
----------
size_bar : `matplotlib.offsetbox.AuxTransformBox`
Container for the size bar.
txt_label : `matplotlib.offsetbox.TextArea`
Container for the label of the size bar.
Notes
-----
If *prop* is passed as a keyworded argument, but *fontproperties* is
not, then *prop* is be assumed to be the intended *fontproperties*.
Using both *prop* and *fontproperties* is not supported.
Examples
--------
>>> import matplotlib.pyplot as plt
>>> import numpy as np
>>> from mpl_toolkits.axes_grid1.anchored_artists import (
... AnchoredSizeBar)
>>> fig, ax = plt.subplots()
>>> ax.imshow(np.random.random((10, 10)))
>>> bar = AnchoredSizeBar(ax.transData, 3, '3 data units', 4)
>>> ax.add_artist(bar)
>>> fig.show()
Using all the optional parameters
>>> import matplotlib.font_manager as fm
>>> fontprops = fm.FontProperties(size=14, family='monospace')
>>> bar = AnchoredSizeBar(ax.transData, 3, '3 units', 4, pad=0.5,
... sep=5, borderpad=0.5, frameon=False,
... size_vertical=0.5, color='white',
... fontproperties=fontprops)
"""
if fill_bar is None:
fill_bar = size_vertical > 0
self.size_bar = AuxTransformBox(transform)
self.size_bar.add_artist(Rectangle((0, 0), size, size_vertical,
fill=fill_bar, facecolor=color,
edgecolor=color))
if fontproperties is None and 'prop' in kwargs:
fontproperties = kwargs.pop('prop')
if fontproperties is None:
textprops = {'color': color}
else:
textprops = {'color': color, 'fontproperties': fontproperties}
self.txt_label = TextArea(label, textprops=textprops)
if label_top:
_box_children = [self.txt_label, self.size_bar]
else:
_box_children = [self.size_bar, self.txt_label]
self._box = VPacker(children=_box_children,
align="center",
pad=0, sep=sep)
super().__init__(loc, pad=pad, borderpad=borderpad, child=self._box,
prop=fontproperties, frameon=frameon, **kwargs)
class AnchoredDirectionArrows(AnchoredOffsetbox):
def __init__(self, transform, label_x, label_y, length=0.15,
fontsize=0.08, loc=2, angle=0, aspect_ratio=1, pad=0.4,
borderpad=0.4, frameon=False, color='w', alpha=1,
sep_x=0.01, sep_y=0, fontproperties=None, back_length=0.15,
head_width=10, head_length=15, tail_width=2,
text_props=None, arrow_props=None,
**kwargs):
"""
Draw two perpendicular arrows to indicate directions.
Parameters
----------
transform : `matplotlib.transforms.Transform`
The transformation object for the coordinate system in use, i.e.,
:attr:`matplotlib.axes.Axes.transAxes`.
label_x, label_y : str
Label text for the x and y arrows
length : float, default: 0.15
Length of the arrow, given in coordinates of *transform*.
fontsize : float, default: 0.08
Size of label strings, given in coordinates of *transform*.
loc : int, default: 2
Location of the direction arrows. Valid location codes are::
'upper right' : 1,
'upper left' : 2,
'lower left' : 3,
'lower right' : 4,
'right' : 5,
'center left' : 6,
'center right' : 7,
'lower center' : 8,
'upper center' : 9,
'center' : 10
angle : float, default: 0
The angle of the arrows in degrees.
aspect_ratio : float, default: 1
The ratio of the length of arrow_x and arrow_y.
Negative numbers can be used to change the direction.
pad : float, default: 0.4
Padding around the labels and arrows, in fraction of the font size.
borderpad : float, default: 0.4
Border padding, in fraction of the font size.
frameon : bool, default: False
If True, draw a box around the arrows and labels.
color : str, default: 'white'
Color for the arrows and labels.
alpha : float, default: 1
Alpha values of the arrows and labels
sep_x, sep_y : float, default: 0.01 and 0 respectively
Separation between the arrows and labels in coordinates of
*transform*.
fontproperties : `matplotlib.font_manager.FontProperties`, optional
Font properties for the label text.
back_length : float, default: 0.15
Fraction of the arrow behind the arrow crossing.
head_width : float, default: 10
Width of arrow head, sent to ArrowStyle.
head_length : float, default: 15
Length of arrow head, sent to ArrowStyle.
tail_width : float, default: 2
Width of arrow tail, sent to ArrowStyle.
text_props, arrow_props : dict
Properties of the text and arrows, passed to
`.textpath.TextPath` and `.patches.FancyArrowPatch`.
**kwargs
Keyworded arguments to pass to
:class:`matplotlib.offsetbox.AnchoredOffsetbox`.
Attributes
----------
arrow_x, arrow_y : `matplotlib.patches.FancyArrowPatch`
Arrow x and y
text_path_x, text_path_y : `matplotlib.textpath.TextPath`
Path for arrow labels
p_x, p_y : `matplotlib.patches.PathPatch`
Patch for arrow labels
box : `matplotlib.offsetbox.AuxTransformBox`
Container for the arrows and labels.
Notes
-----
If *prop* is passed as a keyword argument, but *fontproperties* is
not, then *prop* is be assumed to be the intended *fontproperties*.
Using both *prop* and *fontproperties* is not supported.
Examples
--------
>>> import matplotlib.pyplot as plt
>>> import numpy as np
>>> from mpl_toolkits.axes_grid1.anchored_artists import (
... AnchoredDirectionArrows)
>>> fig, ax = plt.subplots()
>>> ax.imshow(np.random.random((10, 10)))
>>> arrows = AnchoredDirectionArrows(ax.transAxes, '111', '110')
>>> ax.add_artist(arrows)
>>> fig.show()
Using several of the optional parameters, creating downward pointing
arrow and high contrast text labels.
>>> import matplotlib.font_manager as fm
>>> fontprops = fm.FontProperties(family='monospace')
>>> arrows = AnchoredDirectionArrows(ax.transAxes, 'East', 'South',
... loc='lower left', color='k',
... aspect_ratio=-1, sep_x=0.02,
... sep_y=-0.01,
... text_props={'ec':'w', 'fc':'k'},
... fontproperties=fontprops)
"""
if arrow_props is None:
arrow_props = {}
if text_props is None:
text_props = {}
arrowstyle = ArrowStyle("Simple",
head_width=head_width,
head_length=head_length,
tail_width=tail_width)
if fontproperties is None and 'prop' in kwargs:
fontproperties = kwargs.pop('prop')
if 'color' not in arrow_props:
arrow_props['color'] = color
if 'alpha' not in arrow_props:
arrow_props['alpha'] = alpha
if 'color' not in text_props:
text_props['color'] = color
if 'alpha' not in text_props:
text_props['alpha'] = alpha
t_start = transform
t_end = t_start + transforms.Affine2D().rotate_deg(angle)
self.box = AuxTransformBox(t_end)
length_x = length
length_y = length*aspect_ratio
self.arrow_x = FancyArrowPatch(
(0, back_length*length_y),
(length_x, back_length*length_y),
arrowstyle=arrowstyle,
shrinkA=0.0,
shrinkB=0.0,
**arrow_props)
self.arrow_y = FancyArrowPatch(
(back_length*length_x, 0),
(back_length*length_x, length_y),
arrowstyle=arrowstyle,
shrinkA=0.0,
shrinkB=0.0,
**arrow_props)
self.box.add_artist(self.arrow_x)
self.box.add_artist(self.arrow_y)
text_path_x = TextPath((
length_x+sep_x, back_length*length_y+sep_y), label_x,
size=fontsize, prop=fontproperties)
self.p_x = PathPatch(text_path_x, transform=t_start, **text_props)
self.box.add_artist(self.p_x)
text_path_y = TextPath((
length_x*back_length+sep_x, length_y*(1-back_length)+sep_y),
label_y, size=fontsize, prop=fontproperties)
self.p_y = PathPatch(text_path_y, **text_props)
self.box.add_artist(self.p_y)
super().__init__(loc, pad=pad, borderpad=borderpad, child=self.box,
frameon=frameon, **kwargs)

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"""
Helper classes to adjust the positions of multiple axes at drawing time.
"""
import numpy as np
from matplotlib import _api
from matplotlib.axes import SubplotBase
from matplotlib.gridspec import SubplotSpec, GridSpec
import matplotlib.transforms as mtransforms
from . import axes_size as Size
class Divider:
"""
An Axes positioning class.
The divider is initialized with lists of horizontal and vertical sizes
(:mod:`mpl_toolkits.axes_grid1.axes_size`) based on which a given
rectangular area will be divided.
The `new_locator` method then creates a callable object
that can be used as the *axes_locator* of the axes.
"""
def __init__(self, fig, pos, horizontal, vertical,
aspect=None, anchor="C"):
"""
Parameters
----------
fig : Figure
pos : tuple of 4 floats
Position of the rectangle that will be divided.
horizontal : list of :mod:`~mpl_toolkits.axes_grid1.axes_size`
Sizes for horizontal division.
vertical : list of :mod:`~mpl_toolkits.axes_grid1.axes_size`
Sizes for vertical division.
aspect : bool
Whether overall rectangular area is reduced so that the relative
part of the horizontal and vertical scales have the same scale.
anchor : {'C', 'SW', 'S', 'SE', 'E', 'NE', 'N', 'NW', 'W'}
Placement of the reduced rectangle, when *aspect* is True.
"""
self._fig = fig
self._pos = pos
self._horizontal = horizontal
self._vertical = vertical
self._anchor = anchor
self._aspect = aspect
self._xrefindex = 0
self._yrefindex = 0
self._locator = None
def get_horizontal_sizes(self, renderer):
return [s.get_size(renderer) for s in self.get_horizontal()]
def get_vertical_sizes(self, renderer):
return [s.get_size(renderer) for s in self.get_vertical()]
def get_vsize_hsize(self):
vsize = Size.AddList(self.get_vertical())
hsize = Size.AddList(self.get_horizontal())
return vsize, hsize
@staticmethod
def _calc_k(l, total_size):
rs_sum, as_sum = 0., 0.
for _rs, _as in l:
rs_sum += _rs
as_sum += _as
if rs_sum != 0.:
k = (total_size - as_sum) / rs_sum
return k
else:
return 0.
@staticmethod
def _calc_offsets(l, k):
offsets = [0.]
for _rs, _as in l:
offsets.append(offsets[-1] + _rs*k + _as)
return offsets
def set_position(self, pos):
"""
Set the position of the rectangle.
Parameters
----------
pos : tuple of 4 floats
position of the rectangle that will be divided
"""
self._pos = pos
def get_position(self):
"""Return the position of the rectangle."""
return self._pos
def set_anchor(self, anchor):
"""
Parameters
----------
anchor : {'C', 'SW', 'S', 'SE', 'E', 'NE', 'N', 'NW', 'W'}
anchor position
===== ============
value description
===== ============
'C' Center
'SW' bottom left
'S' bottom
'SE' bottom right
'E' right
'NE' top right
'N' top
'NW' top left
'W' left
===== ============
"""
if len(anchor) != 2:
_api.check_in_list(mtransforms.Bbox.coefs, anchor=anchor)
self._anchor = anchor
def get_anchor(self):
"""Return the anchor."""
return self._anchor
def set_horizontal(self, h):
"""
Parameters
----------
h : list of :mod:`~mpl_toolkits.axes_grid1.axes_size`
sizes for horizontal division
"""
self._horizontal = h
def get_horizontal(self):
"""Return horizontal sizes."""
return self._horizontal
def set_vertical(self, v):
"""
Parameters
----------
v : list of :mod:`~mpl_toolkits.axes_grid1.axes_size`
sizes for vertical division
"""
self._vertical = v
def get_vertical(self):
"""Return vertical sizes."""
return self._vertical
def set_aspect(self, aspect=False):
"""
Parameters
----------
aspect : bool
"""
self._aspect = aspect
def get_aspect(self):
"""Return aspect."""
return self._aspect
def set_locator(self, _locator):
self._locator = _locator
def get_locator(self):
return self._locator
def get_position_runtime(self, ax, renderer):
if self._locator is None:
return self.get_position()
else:
return self._locator(ax, renderer).bounds
def locate(self, nx, ny, nx1=None, ny1=None, axes=None, renderer=None):
"""
Parameters
----------
nx, nx1 : int
Integers specifying the column-position of the
cell. When *nx1* is None, a single *nx*-th column is
specified. Otherwise location of columns spanning between *nx*
to *nx1* (but excluding *nx1*-th column) is specified.
ny, ny1 : int
Same as *nx* and *nx1*, but for row positions.
axes
renderer
"""
figW, figH = self._fig.get_size_inches()
x, y, w, h = self.get_position_runtime(axes, renderer)
hsizes = self.get_horizontal_sizes(renderer)
vsizes = self.get_vertical_sizes(renderer)
k_h = self._calc_k(hsizes, figW*w)
k_v = self._calc_k(vsizes, figH*h)
if self.get_aspect():
k = min(k_h, k_v)
ox = self._calc_offsets(hsizes, k)
oy = self._calc_offsets(vsizes, k)
ww = (ox[-1] - ox[0]) / figW
hh = (oy[-1] - oy[0]) / figH
pb = mtransforms.Bbox.from_bounds(x, y, w, h)
pb1 = mtransforms.Bbox.from_bounds(x, y, ww, hh)
pb1_anchored = pb1.anchored(self.get_anchor(), pb)
x0, y0 = pb1_anchored.x0, pb1_anchored.y0
else:
ox = self._calc_offsets(hsizes, k_h)
oy = self._calc_offsets(vsizes, k_v)
x0, y0 = x, y
if nx1 is None:
nx1 = nx + 1
if ny1 is None:
ny1 = ny + 1
x1, w1 = x0 + ox[nx] / figW, (ox[nx1] - ox[nx]) / figW
y1, h1 = y0 + oy[ny] / figH, (oy[ny1] - oy[ny]) / figH
return mtransforms.Bbox.from_bounds(x1, y1, w1, h1)
def new_locator(self, nx, ny, nx1=None, ny1=None):
"""
Return a new `AxesLocator` for the specified cell.
Parameters
----------
nx, nx1 : int
Integers specifying the column-position of the
cell. When *nx1* is None, a single *nx*-th column is
specified. Otherwise location of columns spanning between *nx*
to *nx1* (but excluding *nx1*-th column) is specified.
ny, ny1 : int
Same as *nx* and *nx1*, but for row positions.
"""
return AxesLocator(self, nx, ny, nx1, ny1)
def append_size(self, position, size):
if position == "left":
self._horizontal.insert(0, size)
self._xrefindex += 1
elif position == "right":
self._horizontal.append(size)
elif position == "bottom":
self._vertical.insert(0, size)
self._yrefindex += 1
elif position == "top":
self._vertical.append(size)
else:
_api.check_in_list(["left", "right", "bottom", "top"],
position=position)
def add_auto_adjustable_area(self, use_axes, pad=0.1, adjust_dirs=None):
if adjust_dirs is None:
adjust_dirs = ["left", "right", "bottom", "top"]
from .axes_size import Padded, SizeFromFunc, GetExtentHelper
for d in adjust_dirs:
helper = GetExtentHelper(use_axes, d)
size = SizeFromFunc(helper)
padded_size = Padded(size, pad) # pad in inch
self.append_size(d, padded_size)
class AxesLocator:
"""
A simple callable object, initialized with AxesDivider class,
returns the position and size of the given cell.
"""
def __init__(self, axes_divider, nx, ny, nx1=None, ny1=None):
"""
Parameters
----------
axes_divider : AxesDivider
nx, nx1 : int
Integers specifying the column-position of the
cell. When *nx1* is None, a single *nx*-th column is
specified. Otherwise location of columns spanning between *nx*
to *nx1* (but excluding *nx1*-th column) is specified.
ny, ny1 : int
Same as *nx* and *nx1*, but for row positions.
"""
self._axes_divider = axes_divider
_xrefindex = axes_divider._xrefindex
_yrefindex = axes_divider._yrefindex
self._nx, self._ny = nx - _xrefindex, ny - _yrefindex
if nx1 is None:
nx1 = nx + 1
if ny1 is None:
ny1 = ny + 1
self._nx1 = nx1 - _xrefindex
self._ny1 = ny1 - _yrefindex
def __call__(self, axes, renderer):
_xrefindex = self._axes_divider._xrefindex
_yrefindex = self._axes_divider._yrefindex
return self._axes_divider.locate(self._nx + _xrefindex,
self._ny + _yrefindex,
self._nx1 + _xrefindex,
self._ny1 + _yrefindex,
axes,
renderer)
def get_subplotspec(self):
if hasattr(self._axes_divider, "get_subplotspec"):
return self._axes_divider.get_subplotspec()
else:
return None
class SubplotDivider(Divider):
"""
The Divider class whose rectangle area is specified as a subplot geometry.
"""
def __init__(self, fig, *args, horizontal=None, vertical=None,
aspect=None, anchor='C'):
"""
Parameters
----------
fig : `matplotlib.figure.Figure`
*args : tuple (*nrows*, *ncols*, *index*) or int
The array of subplots in the figure has dimensions ``(nrows,
ncols)``, and *index* is the index of the subplot being created.
*index* starts at 1 in the upper left corner and increases to the
right.
If *nrows*, *ncols*, and *index* are all single digit numbers, then
*args* can be passed as a single 3-digit number (e.g. 234 for
(2, 3, 4)).
"""
self.figure = fig
super().__init__(fig, [0, 0, 1, 1],
horizontal=horizontal or [], vertical=vertical or [],
aspect=aspect, anchor=anchor)
self.set_subplotspec(SubplotSpec._from_subplot_args(fig, args))
def get_position(self):
"""Return the bounds of the subplot box."""
return self.get_subplotspec().get_position(self.figure).bounds
@_api.deprecated("3.4")
@property
def figbox(self):
return self.get_subplotspec().get_position(self.figure)
@_api.deprecated("3.4")
def update_params(self):
pass
@_api.deprecated(
"3.4", alternative="get_subplotspec",
addendum="(get_subplotspec returns a SubplotSpec instance.)")
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
@_api.deprecated("3.4", alternative="set_subplotspec")
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)[num-1]
self.update_params()
self.set_position(self.figbox)
def get_subplotspec(self):
"""Get the SubplotSpec instance."""
return self._subplotspec
def set_subplotspec(self, subplotspec):
"""Set the SubplotSpec instance."""
self._subplotspec = subplotspec
self.set_position(subplotspec.get_position(self.figure))
class AxesDivider(Divider):
"""
Divider based on the pre-existing axes.
"""
def __init__(self, axes, xref=None, yref=None):
"""
Parameters
----------
axes : :class:`~matplotlib.axes.Axes`
xref
yref
"""
self._axes = axes
if xref is None:
self._xref = Size.AxesX(axes)
else:
self._xref = xref
if yref is None:
self._yref = Size.AxesY(axes)
else:
self._yref = yref
super().__init__(fig=axes.get_figure(), pos=None,
horizontal=[self._xref], vertical=[self._yref],
aspect=None, anchor="C")
def _get_new_axes(self, *, axes_class=None, **kwargs):
axes = self._axes
if axes_class is None:
if isinstance(axes, SubplotBase):
axes_class = axes._axes_class
else:
axes_class = type(axes)
return axes_class(axes.get_figure(), axes.get_position(original=True),
**kwargs)
def new_horizontal(self, size, pad=None, pack_start=False, **kwargs):
"""
Add a new axes on the right (or left) side of the main axes.
Parameters
----------
size : :mod:`~mpl_toolkits.axes_grid1.axes_size` or float or str
A width of the axes. If float or string is given, *from_any*
function is used to create the size, with *ref_size* set to AxesX
instance of the current axes.
pad : :mod:`~mpl_toolkits.axes_grid1.axes_size` or float or str
Pad between the axes. It takes same argument as *size*.
pack_start : bool
If False, the new axes is appended at the end
of the list, i.e., it became the right-most axes. If True, it is
inserted at the start of the list, and becomes the left-most axes.
**kwargs
All extra keywords arguments are passed to the created axes.
If *axes_class* is given, the new axes will be created as an
instance of the given class. Otherwise, the same class of the
main axes will be used.
"""
if pad is None:
_api.warn_deprecated(
"3.2", message="In a future version, 'pad' will default to "
"rcParams['figure.subplot.wspace']. Set pad=0 to keep the "
"old behavior.")
if pad:
if not isinstance(pad, Size._Base):
pad = Size.from_any(pad, fraction_ref=self._xref)
if pack_start:
self._horizontal.insert(0, pad)
self._xrefindex += 1
else:
self._horizontal.append(pad)
if not isinstance(size, Size._Base):
size = Size.from_any(size, fraction_ref=self._xref)
if pack_start:
self._horizontal.insert(0, size)
self._xrefindex += 1
locator = self.new_locator(nx=0, ny=self._yrefindex)
else:
self._horizontal.append(size)
locator = self.new_locator(
nx=len(self._horizontal) - 1, ny=self._yrefindex)
ax = self._get_new_axes(**kwargs)
ax.set_axes_locator(locator)
return ax
def new_vertical(self, size, pad=None, pack_start=False, **kwargs):
"""
Add a new axes on the top (or bottom) side of the main axes.
Parameters
----------
size : :mod:`~mpl_toolkits.axes_grid1.axes_size` or float or str
A height of the axes. If float or string is given, *from_any*
function is used to create the size, with *ref_size* set to AxesX
instance of the current axes.
pad : :mod:`~mpl_toolkits.axes_grid1.axes_size` or float or str
Pad between the axes. It takes same argument as *size*.
pack_start : bool
If False, the new axes is appended at the end
of the list, i.e., it became the right-most axes. If True, it is
inserted at the start of the list, and becomes the left-most axes.
**kwargs
All extra keywords arguments are passed to the created axes.
If *axes_class* is given, the new axes will be created as an
instance of the given class. Otherwise, the same class of the
main axes will be used.
"""
if pad is None:
_api.warn_deprecated(
"3.2", message="In a future version, 'pad' will default to "
"rcParams['figure.subplot.hspace']. Set pad=0 to keep the "
"old behavior.")
if pad:
if not isinstance(pad, Size._Base):
pad = Size.from_any(pad, fraction_ref=self._yref)
if pack_start:
self._vertical.insert(0, pad)
self._yrefindex += 1
else:
self._vertical.append(pad)
if not isinstance(size, Size._Base):
size = Size.from_any(size, fraction_ref=self._yref)
if pack_start:
self._vertical.insert(0, size)
self._yrefindex += 1
locator = self.new_locator(nx=self._xrefindex, ny=0)
else:
self._vertical.append(size)
locator = self.new_locator(
nx=self._xrefindex, ny=len(self._vertical)-1)
ax = self._get_new_axes(**kwargs)
ax.set_axes_locator(locator)
return ax
def append_axes(self, position, size, pad=None, add_to_figure=True,
**kwargs):
"""
Create an axes at the given *position* with the same height
(or width) of the main axes.
*position*
["left"|"right"|"bottom"|"top"]
*size* and *pad* should be axes_grid.axes_size compatible.
"""
if position == "left":
ax = self.new_horizontal(size, pad, pack_start=True, **kwargs)
elif position == "right":
ax = self.new_horizontal(size, pad, pack_start=False, **kwargs)
elif position == "bottom":
ax = self.new_vertical(size, pad, pack_start=True, **kwargs)
elif position == "top":
ax = self.new_vertical(size, pad, pack_start=False, **kwargs)
else:
_api.check_in_list(["left", "right", "bottom", "top"],
position=position)
if add_to_figure:
self._fig.add_axes(ax)
return ax
def get_aspect(self):
if self._aspect is None:
aspect = self._axes.get_aspect()
if aspect == "auto":
return False
else:
return True
else:
return self._aspect
def get_position(self):
if self._pos is None:
bbox = self._axes.get_position(original=True)
return bbox.bounds
else:
return self._pos
def get_anchor(self):
if self._anchor is None:
return self._axes.get_anchor()
else:
return self._anchor
def get_subplotspec(self):
if hasattr(self._axes, "get_subplotspec"):
return self._axes.get_subplotspec()
else:
return None
class HBoxDivider(SubplotDivider):
@staticmethod
def _determine_karray(equivalent_sizes, appended_sizes,
max_equivalent_size,
total_appended_size):
n = len(equivalent_sizes)
eq_rs, eq_as = np.asarray(equivalent_sizes).T
ap_rs, ap_as = np.asarray(appended_sizes).T
A = np.zeros((n + 1, n + 1))
B = np.zeros(n + 1)
np.fill_diagonal(A[:n, :n], eq_rs)
A[:n, -1] = -1
A[-1, :-1] = ap_rs
B[:n] = -eq_as
B[-1] = total_appended_size - sum(ap_as)
karray_H = np.linalg.solve(A, B) # A @ K = B
karray = karray_H[:-1]
H = karray_H[-1]
if H > max_equivalent_size:
karray = (max_equivalent_size - eq_as) / eq_rs
return karray
@staticmethod
def _calc_offsets(appended_sizes, karray):
offsets = [0.]
for (r, a), k in zip(appended_sizes, karray):
offsets.append(offsets[-1] + r*k + a)
return offsets
def new_locator(self, nx, nx1=None):
"""
Create a new `AxesLocator` for the specified cell.
Parameters
----------
nx, nx1 : int
Integers specifying the column-position of the
cell. When *nx1* is None, a single *nx*-th column is
specified. Otherwise location of columns spanning between *nx*
to *nx1* (but excluding *nx1*-th column) is specified.
ny, ny1 : int
Same as *nx* and *nx1*, but for row positions.
"""
return AxesLocator(self, nx, 0, nx1, None)
def _locate(self, x, y, w, h,
y_equivalent_sizes, x_appended_sizes,
figW, figH):
equivalent_sizes = y_equivalent_sizes
appended_sizes = x_appended_sizes
max_equivalent_size = figH * h
total_appended_size = figW * w
karray = self._determine_karray(equivalent_sizes, appended_sizes,
max_equivalent_size,
total_appended_size)
ox = self._calc_offsets(appended_sizes, karray)
ww = (ox[-1] - ox[0]) / figW
ref_h = equivalent_sizes[0]
hh = (karray[0]*ref_h[0] + ref_h[1]) / figH
pb = mtransforms.Bbox.from_bounds(x, y, w, h)
pb1 = mtransforms.Bbox.from_bounds(x, y, ww, hh)
pb1_anchored = pb1.anchored(self.get_anchor(), pb)
x0, y0 = pb1_anchored.x0, pb1_anchored.y0
return x0, y0, ox, hh
def locate(self, nx, ny, nx1=None, ny1=None, axes=None, renderer=None):
"""
Parameters
----------
axes_divider : AxesDivider
nx, nx1 : int
Integers specifying the column-position of the
cell. When *nx1* is None, a single *nx*-th column is
specified. Otherwise location of columns spanning between *nx*
to *nx1* (but excluding *nx1*-th column) is specified.
ny, ny1 : int
Same as *nx* and *nx1*, but for row positions.
axes
renderer
"""
figW, figH = self._fig.get_size_inches()
x, y, w, h = self.get_position_runtime(axes, renderer)
y_equivalent_sizes = self.get_vertical_sizes(renderer)
x_appended_sizes = self.get_horizontal_sizes(renderer)
x0, y0, ox, hh = self._locate(x, y, w, h,
y_equivalent_sizes, x_appended_sizes,
figW, figH)
if nx1 is None:
nx1 = nx + 1
x1, w1 = x0 + ox[nx] / figW, (ox[nx1] - ox[nx]) / figW
y1, h1 = y0, hh
return mtransforms.Bbox.from_bounds(x1, y1, w1, h1)
class VBoxDivider(HBoxDivider):
"""
The Divider class whose rectangle area is specified as a subplot geometry.
"""
def new_locator(self, ny, ny1=None):
"""
Create a new `AxesLocator` for the specified cell.
Parameters
----------
ny, ny1 : int
Integers specifying the row-position of the
cell. When *ny1* is None, a single *ny*-th row is
specified. Otherwise location of rows spanning between *ny*
to *ny1* (but excluding *ny1*-th row) is specified.
"""
return AxesLocator(self, 0, ny, None, ny1)
def locate(self, nx, ny, nx1=None, ny1=None, axes=None, renderer=None):
"""
Parameters
----------
axes_divider : AxesDivider
nx, nx1 : int
Integers specifying the column-position of the
cell. When *nx1* is None, a single *nx*-th column is
specified. Otherwise location of columns spanning between *nx*
to *nx1* (but excluding *nx1*-th column) is specified.
ny, ny1 : int
Same as *nx* and *nx1*, but for row positions.
axes
renderer
"""
figW, figH = self._fig.get_size_inches()
x, y, w, h = self.get_position_runtime(axes, renderer)
x_equivalent_sizes = self.get_horizontal_sizes(renderer)
y_appended_sizes = self.get_vertical_sizes(renderer)
y0, x0, oy, ww = self._locate(y, x, h, w,
x_equivalent_sizes, y_appended_sizes,
figH, figW)
if ny1 is None:
ny1 = ny + 1
x1, w1 = x0, ww
y1, h1 = y0 + oy[ny] / figH, (oy[ny1] - oy[ny]) / figH
return mtransforms.Bbox.from_bounds(x1, y1, w1, h1)
def make_axes_locatable(axes):
divider = AxesDivider(axes)
locator = divider.new_locator(nx=0, ny=0)
axes.set_axes_locator(locator)
return divider
def make_axes_area_auto_adjustable(ax,
use_axes=None, pad=0.1,
adjust_dirs=None):
if adjust_dirs is None:
adjust_dirs = ["left", "right", "bottom", "top"]
divider = make_axes_locatable(ax)
if use_axes is None:
use_axes = ax
divider.add_auto_adjustable_area(use_axes=use_axes, pad=pad,
adjust_dirs=adjust_dirs)

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from numbers import Number
import functools
import numpy as np
import matplotlib as mpl
from matplotlib import _api
from matplotlib.gridspec import SubplotSpec
from .axes_divider import Size, SubplotDivider, Divider
from .mpl_axes import Axes
def _tick_only(ax, bottom_on, left_on):
bottom_off = not bottom_on
left_off = not left_on
ax.axis["bottom"].toggle(ticklabels=bottom_off, label=bottom_off)
ax.axis["left"].toggle(ticklabels=left_off, label=left_off)
class CbarAxesBase:
def __init__(self, *args, orientation, **kwargs):
self.orientation = orientation
self._default_label_on = True
self._locator = None # deprecated.
super().__init__(*args, **kwargs)
def colorbar(self, mappable, *, ticks=None, **kwargs):
if self.orientation in ["top", "bottom"]:
orientation = "horizontal"
else:
orientation = "vertical"
cb = mpl.colorbar.Colorbar(
self, mappable, orientation=orientation, ticks=ticks, **kwargs)
self._cbid = mappable.colorbar_cid # deprecated in 3.3.
self._locator = cb.locator # deprecated in 3.3.
self._config_axes()
return cb
cbid = _api.deprecate_privatize_attribute(
"3.3", alternative="mappable.colorbar_cid")
locator = _api.deprecate_privatize_attribute(
"3.3", alternative=".colorbar().locator")
def _config_axes(self):
"""Make an axes patch and outline."""
ax = self
ax.set_navigate(False)
ax.axis[:].toggle(all=False)
b = self._default_label_on
ax.axis[self.orientation].toggle(all=b)
def toggle_label(self, b):
self._default_label_on = b
axis = self.axis[self.orientation]
axis.toggle(ticklabels=b, label=b)
def cla(self):
super().cla()
self._config_axes()
class CbarAxes(CbarAxesBase, Axes):
pass
class Grid:
"""
A grid of Axes.
In Matplotlib, the axes location (and size) is specified in normalized
figure coordinates. This may not be ideal for images that needs to be
displayed with a given aspect ratio; for example, it is difficult to
display multiple images of a same size with some fixed padding between
them. AxesGrid can be used in such case.
"""
_defaultAxesClass = Axes
@_api.delete_parameter("3.3", "add_all")
def __init__(self, fig,
rect,
nrows_ncols,
ngrids=None,
direction="row",
axes_pad=0.02,
add_all=True,
share_all=False,
share_x=True,
share_y=True,
label_mode="L",
axes_class=None,
*,
aspect=False,
):
"""
Parameters
----------
fig : `.Figure`
The parent figure.
rect : (float, float, float, float) or int
The axes position, as a ``(left, bottom, width, height)`` tuple or
as a three-digit subplot position code (e.g., "121").
nrows_ncols : (int, int)
Number of rows and columns in the grid.
ngrids : int or None, default: None
If not None, only the first *ngrids* axes in the grid are created.
direction : {"row", "column"}, default: "row"
Whether axes are created in row-major ("row by row") or
column-major order ("column by column").
axes_pad : float or (float, float), default: 0.02
Padding or (horizontal padding, vertical padding) between axes, in
inches.
add_all : bool, default: True
Whether to add the axes to the figure using `.Figure.add_axes`.
This parameter is deprecated.
share_all : bool, default: False
Whether all axes share their x- and y-axis. Overrides *share_x*
and *share_y*.
share_x : bool, default: True
Whether all axes of a column share their x-axis.
share_y : bool, default: True
Whether all axes of a row share their y-axis.
label_mode : {"L", "1", "all"}, default: "L"
Determines which axes will get tick labels:
- "L": All axes on the left column get vertical tick labels;
all axes on the bottom row get horizontal tick labels.
- "1": Only the bottom left axes is labelled.
- "all": all axes are labelled.
axes_class : subclass of `matplotlib.axes.Axes`, default: None
aspect : bool, default: False
Whether the axes aspect ratio follows the aspect ratio of the data
limits.
"""
self._nrows, self._ncols = nrows_ncols
if ngrids is None:
ngrids = self._nrows * self._ncols
else:
if not 0 < ngrids <= self._nrows * self._ncols:
raise Exception("")
self.ngrids = ngrids
self._horiz_pad_size, self._vert_pad_size = map(
Size.Fixed, np.broadcast_to(axes_pad, 2))
_api.check_in_list(["column", "row"], direction=direction)
self._direction = direction
if axes_class is None:
axes_class = self._defaultAxesClass
elif isinstance(axes_class, (list, tuple)):
cls, kwargs = axes_class
axes_class = functools.partial(cls, **kwargs)
kw = dict(horizontal=[], vertical=[], aspect=aspect)
if isinstance(rect, (str, Number, SubplotSpec)):
self._divider = SubplotDivider(fig, rect, **kw)
elif len(rect) == 3:
self._divider = SubplotDivider(fig, *rect, **kw)
elif len(rect) == 4:
self._divider = Divider(fig, rect, **kw)
else:
raise Exception("")
rect = self._divider.get_position()
axes_array = np.full((self._nrows, self._ncols), None, dtype=object)
for i in range(self.ngrids):
col, row = self._get_col_row(i)
if share_all:
sharex = sharey = axes_array[0, 0]
else:
sharex = axes_array[0, col] if share_x else None
sharey = axes_array[row, 0] if share_y else None
axes_array[row, col] = axes_class(
fig, rect, sharex=sharex, sharey=sharey)
self.axes_all = axes_array.ravel().tolist()
self.axes_column = axes_array.T.tolist()
self.axes_row = axes_array.tolist()
self.axes_llc = self.axes_column[0][-1]
self._init_locators()
if add_all:
for ax in self.axes_all:
fig.add_axes(ax)
self.set_label_mode(label_mode)
def _init_locators(self):
h = []
h_ax_pos = []
for _ in range(self._ncols):
if h:
h.append(self._horiz_pad_size)
h_ax_pos.append(len(h))
sz = Size.Scaled(1)
h.append(sz)
v = []
v_ax_pos = []
for _ in range(self._nrows):
if v:
v.append(self._vert_pad_size)
v_ax_pos.append(len(v))
sz = Size.Scaled(1)
v.append(sz)
for i in range(self.ngrids):
col, row = self._get_col_row(i)
locator = self._divider.new_locator(
nx=h_ax_pos[col], ny=v_ax_pos[self._nrows - 1 - row])
self.axes_all[i].set_axes_locator(locator)
self._divider.set_horizontal(h)
self._divider.set_vertical(v)
def _get_col_row(self, n):
if self._direction == "column":
col, row = divmod(n, self._nrows)
else:
row, col = divmod(n, self._ncols)
return col, row
# Good to propagate __len__ if we have __getitem__
def __len__(self):
return len(self.axes_all)
def __getitem__(self, i):
return self.axes_all[i]
def get_geometry(self):
"""
Return the number of rows and columns of the grid as (nrows, ncols).
"""
return self._nrows, self._ncols
def set_axes_pad(self, axes_pad):
"""
Set the padding between the axes.
Parameters
----------
axes_pad : (float, float)
The padding (horizontal pad, vertical pad) in inches.
"""
self._horiz_pad_size.fixed_size = axes_pad[0]
self._vert_pad_size.fixed_size = axes_pad[1]
def get_axes_pad(self):
"""
Return the axes padding.
Returns
-------
hpad, vpad
Padding (horizontal pad, vertical pad) in inches.
"""
return (self._horiz_pad_size.fixed_size,
self._vert_pad_size.fixed_size)
def set_aspect(self, aspect):
"""Set the aspect of the SubplotDivider."""
self._divider.set_aspect(aspect)
def get_aspect(self):
"""Return the aspect of the SubplotDivider."""
return self._divider.get_aspect()
def set_label_mode(self, mode):
"""
Define which axes have tick labels.
Parameters
----------
mode : {"L", "1", "all"}
The label mode:
- "L": All axes on the left column get vertical tick labels;
all axes on the bottom row get horizontal tick labels.
- "1": Only the bottom left axes is labelled.
- "all": all axes are labelled.
"""
if mode == "all":
for ax in self.axes_all:
_tick_only(ax, False, False)
elif mode == "L":
# left-most axes
for ax in self.axes_column[0][:-1]:
_tick_only(ax, bottom_on=True, left_on=False)
# lower-left axes
ax = self.axes_column[0][-1]
_tick_only(ax, bottom_on=False, left_on=False)
for col in self.axes_column[1:]:
# axes with no labels
for ax in col[:-1]:
_tick_only(ax, bottom_on=True, left_on=True)
# bottom
ax = col[-1]
_tick_only(ax, bottom_on=False, left_on=True)
elif mode == "1":
for ax in self.axes_all:
_tick_only(ax, bottom_on=True, left_on=True)
ax = self.axes_llc
_tick_only(ax, bottom_on=False, left_on=False)
def get_divider(self):
return self._divider
def set_axes_locator(self, locator):
self._divider.set_locator(locator)
def get_axes_locator(self):
return self._divider.get_locator()
def get_vsize_hsize(self):
return self._divider.get_vsize_hsize()
class ImageGrid(Grid):
# docstring inherited
_defaultCbarAxesClass = CbarAxes
@_api.delete_parameter("3.3", "add_all")
def __init__(self, fig,
rect,
nrows_ncols,
ngrids=None,
direction="row",
axes_pad=0.02,
add_all=True,
share_all=False,
aspect=True,
label_mode="L",
cbar_mode=None,
cbar_location="right",
cbar_pad=None,
cbar_size="5%",
cbar_set_cax=True,
axes_class=None,
):
"""
Parameters
----------
fig : `.Figure`
The parent figure.
rect : (float, float, float, float) or int
The axes position, as a ``(left, bottom, width, height)`` tuple or
as a three-digit subplot position code (e.g., "121").
nrows_ncols : (int, int)
Number of rows and columns in the grid.
ngrids : int or None, default: None
If not None, only the first *ngrids* axes in the grid are created.
direction : {"row", "column"}, default: "row"
Whether axes are created in row-major ("row by row") or
column-major order ("column by column"). This also affects the
order in which axes are accessed using indexing (``grid[index]``).
axes_pad : float or (float, float), default: 0.02in
Padding or (horizontal padding, vertical padding) between axes, in
inches.
add_all : bool, default: True
Whether to add the axes to the figure using `.Figure.add_axes`.
This parameter is deprecated.
share_all : bool, default: False
Whether all axes share their x- and y-axis.
aspect : bool, default: True
Whether the axes aspect ratio follows the aspect ratio of the data
limits.
label_mode : {"L", "1", "all"}, default: "L"
Determines which axes will get tick labels:
- "L": All axes on the left column get vertical tick labels;
all axes on the bottom row get horizontal tick labels.
- "1": Only the bottom left axes is labelled.
- "all": all axes are labelled.
cbar_mode : {"each", "single", "edge", None}, default: None
Whether to create a colorbar for "each" axes, a "single" colorbar
for the entire grid, colorbars only for axes on the "edge"
determined by *cbar_location*, or no colorbars. The colorbars are
stored in the :attr:`cbar_axes` attribute.
cbar_location : {"left", "right", "bottom", "top"}, default: "right"
cbar_pad : float, default: None
Padding between the image axes and the colorbar axes.
cbar_size : size specification (see `.Size.from_any`), default: "5%"
Colorbar size.
cbar_set_cax : bool, default: True
If True, each axes in the grid has a *cax* attribute that is bound
to associated *cbar_axes*.
axes_class : subclass of `matplotlib.axes.Axes`, default: None
"""
self._colorbar_mode = cbar_mode
self._colorbar_location = cbar_location
self._colorbar_pad = cbar_pad
self._colorbar_size = cbar_size
# The colorbar axes are created in _init_locators().
if add_all:
super().__init__(
fig, rect, nrows_ncols, ngrids,
direction=direction, axes_pad=axes_pad,
share_all=share_all, share_x=True, share_y=True, aspect=aspect,
label_mode=label_mode, axes_class=axes_class)
else: # Only show deprecation in that case.
super().__init__(
fig, rect, nrows_ncols, ngrids,
direction=direction, axes_pad=axes_pad, add_all=add_all,
share_all=share_all, share_x=True, share_y=True, aspect=aspect,
label_mode=label_mode, axes_class=axes_class)
if add_all:
for ax in self.cbar_axes:
fig.add_axes(ax)
if cbar_set_cax:
if self._colorbar_mode == "single":
for ax in self.axes_all:
ax.cax = self.cbar_axes[0]
elif self._colorbar_mode == "edge":
for index, ax in enumerate(self.axes_all):
col, row = self._get_col_row(index)
if self._colorbar_location in ("left", "right"):
ax.cax = self.cbar_axes[row]
else:
ax.cax = self.cbar_axes[col]
else:
for ax, cax in zip(self.axes_all, self.cbar_axes):
ax.cax = cax
def _init_locators(self):
# Slightly abusing this method to inject colorbar creation into init.
if self._colorbar_pad is None:
# horizontal or vertical arrangement?
if self._colorbar_location in ("left", "right"):
self._colorbar_pad = self._horiz_pad_size.fixed_size
else:
self._colorbar_pad = self._vert_pad_size.fixed_size
self.cbar_axes = [
self._defaultCbarAxesClass(
self.axes_all[0].figure, self._divider.get_position(),
orientation=self._colorbar_location)
for _ in range(self.ngrids)]
cb_mode = self._colorbar_mode
cb_location = self._colorbar_location
h = []
v = []
h_ax_pos = []
h_cb_pos = []
if cb_mode == "single" and cb_location in ("left", "bottom"):
if cb_location == "left":
sz = self._nrows * Size.AxesX(self.axes_llc)
h.append(Size.from_any(self._colorbar_size, sz))
h.append(Size.from_any(self._colorbar_pad, sz))
locator = self._divider.new_locator(nx=0, ny=0, ny1=-1)
elif cb_location == "bottom":
sz = self._ncols * Size.AxesY(self.axes_llc)
v.append(Size.from_any(self._colorbar_size, sz))
v.append(Size.from_any(self._colorbar_pad, sz))
locator = self._divider.new_locator(nx=0, nx1=-1, ny=0)
for i in range(self.ngrids):
self.cbar_axes[i].set_visible(False)
self.cbar_axes[0].set_axes_locator(locator)
self.cbar_axes[0].set_visible(True)
for col, ax in enumerate(self.axes_row[0]):
if h:
h.append(self._horiz_pad_size)
if ax:
sz = Size.AxesX(ax, aspect="axes", ref_ax=self.axes_all[0])
else:
sz = Size.AxesX(self.axes_all[0],
aspect="axes", ref_ax=self.axes_all[0])
if (cb_location == "left"
and (cb_mode == "each"
or (cb_mode == "edge" and col == 0))):
h_cb_pos.append(len(h))
h.append(Size.from_any(self._colorbar_size, sz))
h.append(Size.from_any(self._colorbar_pad, sz))
h_ax_pos.append(len(h))
h.append(sz)
if (cb_location == "right"
and (cb_mode == "each"
or (cb_mode == "edge" and col == self._ncols - 1))):
h.append(Size.from_any(self._colorbar_pad, sz))
h_cb_pos.append(len(h))
h.append(Size.from_any(self._colorbar_size, sz))
v_ax_pos = []
v_cb_pos = []
for row, ax in enumerate(self.axes_column[0][::-1]):
if v:
v.append(self._vert_pad_size)
if ax:
sz = Size.AxesY(ax, aspect="axes", ref_ax=self.axes_all[0])
else:
sz = Size.AxesY(self.axes_all[0],
aspect="axes", ref_ax=self.axes_all[0])
if (cb_location == "bottom"
and (cb_mode == "each"
or (cb_mode == "edge" and row == 0))):
v_cb_pos.append(len(v))
v.append(Size.from_any(self._colorbar_size, sz))
v.append(Size.from_any(self._colorbar_pad, sz))
v_ax_pos.append(len(v))
v.append(sz)
if (cb_location == "top"
and (cb_mode == "each"
or (cb_mode == "edge" and row == self._nrows - 1))):
v.append(Size.from_any(self._colorbar_pad, sz))
v_cb_pos.append(len(v))
v.append(Size.from_any(self._colorbar_size, sz))
for i in range(self.ngrids):
col, row = self._get_col_row(i)
locator = self._divider.new_locator(nx=h_ax_pos[col],
ny=v_ax_pos[self._nrows-1-row])
self.axes_all[i].set_axes_locator(locator)
if cb_mode == "each":
if cb_location in ("right", "left"):
locator = self._divider.new_locator(
nx=h_cb_pos[col], ny=v_ax_pos[self._nrows - 1 - row])
elif cb_location in ("top", "bottom"):
locator = self._divider.new_locator(
nx=h_ax_pos[col], ny=v_cb_pos[self._nrows - 1 - row])
self.cbar_axes[i].set_axes_locator(locator)
elif cb_mode == "edge":
if (cb_location == "left" and col == 0
or cb_location == "right" and col == self._ncols - 1):
locator = self._divider.new_locator(
nx=h_cb_pos[0], ny=v_ax_pos[self._nrows - 1 - row])
self.cbar_axes[row].set_axes_locator(locator)
elif (cb_location == "bottom" and row == self._nrows - 1
or cb_location == "top" and row == 0):
locator = self._divider.new_locator(nx=h_ax_pos[col],
ny=v_cb_pos[0])
self.cbar_axes[col].set_axes_locator(locator)
if cb_mode == "single":
if cb_location == "right":
sz = self._nrows * Size.AxesX(self.axes_llc)
h.append(Size.from_any(self._colorbar_pad, sz))
h.append(Size.from_any(self._colorbar_size, sz))
locator = self._divider.new_locator(nx=-2, ny=0, ny1=-1)
elif cb_location == "top":
sz = self._ncols * Size.AxesY(self.axes_llc)
v.append(Size.from_any(self._colorbar_pad, sz))
v.append(Size.from_any(self._colorbar_size, sz))
locator = self._divider.new_locator(nx=0, nx1=-1, ny=-2)
if cb_location in ("right", "top"):
for i in range(self.ngrids):
self.cbar_axes[i].set_visible(False)
self.cbar_axes[0].set_axes_locator(locator)
self.cbar_axes[0].set_visible(True)
elif cb_mode == "each":
for i in range(self.ngrids):
self.cbar_axes[i].set_visible(True)
elif cb_mode == "edge":
if cb_location in ("right", "left"):
count = self._nrows
else:
count = self._ncols
for i in range(count):
self.cbar_axes[i].set_visible(True)
for j in range(i + 1, self.ngrids):
self.cbar_axes[j].set_visible(False)
else:
for i in range(self.ngrids):
self.cbar_axes[i].set_visible(False)
self.cbar_axes[i].set_position([1., 1., 0.001, 0.001],
which="active")
self._divider.set_horizontal(h)
self._divider.set_vertical(v)
AxesGrid = ImageGrid

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import numpy as np
from matplotlib import _api
from .axes_divider import make_axes_locatable, Size
from .mpl_axes import Axes
@_api.delete_parameter("3.3", "add_all")
def make_rgb_axes(ax, pad=0.01, axes_class=None, add_all=True, **kwargs):
"""
Parameters
----------
pad : float
Fraction of the axes height.
"""
divider = make_axes_locatable(ax)
pad_size = pad * Size.AxesY(ax)
xsize = ((1-2*pad)/3) * Size.AxesX(ax)
ysize = ((1-2*pad)/3) * Size.AxesY(ax)
divider.set_horizontal([Size.AxesX(ax), pad_size, xsize])
divider.set_vertical([ysize, pad_size, ysize, pad_size, ysize])
ax.set_axes_locator(divider.new_locator(0, 0, ny1=-1))
ax_rgb = []
if axes_class is None:
try:
axes_class = ax._axes_class
except AttributeError:
axes_class = type(ax)
for ny in [4, 2, 0]:
ax1 = axes_class(ax.get_figure(), ax.get_position(original=True),
sharex=ax, sharey=ax, **kwargs)
locator = divider.new_locator(nx=2, ny=ny)
ax1.set_axes_locator(locator)
for t in ax1.yaxis.get_ticklabels() + ax1.xaxis.get_ticklabels():
t.set_visible(False)
try:
for axis in ax1.axis.values():
axis.major_ticklabels.set_visible(False)
except AttributeError:
pass
ax_rgb.append(ax1)
if add_all:
fig = ax.get_figure()
for ax1 in ax_rgb:
fig.add_axes(ax1)
return ax_rgb
@_api.deprecated("3.3", alternative="ax.imshow(np.dstack([r, g, b]))")
def imshow_rgb(ax, r, g, b, **kwargs):
return ax.imshow(np.dstack([r, g, b]), **kwargs)
class RGBAxes:
"""
4-panel imshow (RGB, R, G, B).
Layout:
+---------------+-----+
| | R |
+ +-----+
| RGB | G |
+ +-----+
| | B |
+---------------+-----+
Subclasses can override the ``_defaultAxesClass`` attribute.
Attributes
----------
RGB : ``_defaultAxesClass``
The axes object for the three-channel imshow.
R : ``_defaultAxesClass``
The axes object for the red channel imshow.
G : ``_defaultAxesClass``
The axes object for the green channel imshow.
B : ``_defaultAxesClass``
The axes object for the blue channel imshow.
"""
_defaultAxesClass = Axes
@_api.delete_parameter("3.3", "add_all")
def __init__(self, *args, pad=0, add_all=True, **kwargs):
"""
Parameters
----------
pad : float, default: 0
fraction of the axes height to put as padding.
add_all : bool, default: True
Whether to add the {rgb, r, g, b} axes to the figure.
This parameter is deprecated.
axes_class : matplotlib.axes.Axes
*args
Unpacked into axes_class() init for RGB
**kwargs
Unpacked into axes_class() init for RGB, R, G, B axes
"""
axes_class = kwargs.pop("axes_class", self._defaultAxesClass)
self.RGB = ax = axes_class(*args, **kwargs)
if add_all:
ax.get_figure().add_axes(ax)
else:
kwargs["add_all"] = add_all # only show deprecation in that case
self.R, self.G, self.B = make_rgb_axes(
ax, pad=pad, axes_class=axes_class, **kwargs)
# Set the line color and ticks for the axes.
for ax1 in [self.RGB, self.R, self.G, self.B]:
ax1.axis[:].line.set_color("w")
ax1.axis[:].major_ticks.set_markeredgecolor("w")
@_api.deprecated("3.3")
def add_RGB_to_figure(self):
"""Add red, green and blue axes to the RGB composite's axes figure."""
self.RGB.get_figure().add_axes(self.R)
self.RGB.get_figure().add_axes(self.G)
self.RGB.get_figure().add_axes(self.B)
def imshow_rgb(self, r, g, b, **kwargs):
"""
Create the four images {rgb, r, g, b}.
Parameters
----------
r, g, b : array-like
The red, green, and blue arrays.
kwargs : imshow kwargs
kwargs get unpacked into the imshow calls for the four images.
Returns
-------
rgb : matplotlib.image.AxesImage
r : matplotlib.image.AxesImage
g : matplotlib.image.AxesImage
b : matplotlib.image.AxesImage
"""
if not (r.shape == g.shape == b.shape):
raise ValueError(
f'Input shapes ({r.shape}, {g.shape}, {b.shape}) do not match')
RGB = np.dstack([r, g, b])
R = np.zeros_like(RGB)
R[:, :, 0] = r
G = np.zeros_like(RGB)
G[:, :, 1] = g
B = np.zeros_like(RGB)
B[:, :, 2] = b
im_rgb = self.RGB.imshow(RGB, **kwargs)
im_r = self.R.imshow(R, **kwargs)
im_g = self.G.imshow(G, **kwargs)
im_b = self.B.imshow(B, **kwargs)
return im_rgb, im_r, im_g, im_b
@_api.deprecated("3.3", alternative="RGBAxes")
class RGBAxesBase(RGBAxes):
pass

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"""
Provides classes of simple units that will be used with AxesDivider
class (or others) to determine the size of each axes. The unit
classes define `get_size` method that returns a tuple of two floats,
meaning relative and absolute sizes, respectively.
Note that this class is nothing more than a simple tuple of two
floats. Take a look at the Divider class to see how these two
values are used.
"""
from numbers import Number
from matplotlib import _api
from matplotlib.axes import Axes
class _Base:
def __rmul__(self, other):
return Fraction(other, self)
def __add__(self, other):
if isinstance(other, _Base):
return Add(self, other)
else:
return Add(self, Fixed(other))
class Add(_Base):
def __init__(self, a, b):
self._a = a
self._b = b
def get_size(self, renderer):
a_rel_size, a_abs_size = self._a.get_size(renderer)
b_rel_size, b_abs_size = self._b.get_size(renderer)
return a_rel_size + b_rel_size, a_abs_size + b_abs_size
class AddList(_Base):
def __init__(self, add_list):
self._list = add_list
def get_size(self, renderer):
sum_rel_size = sum([a.get_size(renderer)[0] for a in self._list])
sum_abs_size = sum([a.get_size(renderer)[1] for a in self._list])
return sum_rel_size, sum_abs_size
class Fixed(_Base):
"""
Simple fixed size with absolute part = *fixed_size* and relative part = 0.
"""
def __init__(self, fixed_size):
_api.check_isinstance(Number, fixed_size=fixed_size)
self.fixed_size = fixed_size
def get_size(self, renderer):
rel_size = 0.
abs_size = self.fixed_size
return rel_size, abs_size
class Scaled(_Base):
"""
Simple scaled(?) size with absolute part = 0 and
relative part = *scalable_size*.
"""
def __init__(self, scalable_size):
self._scalable_size = scalable_size
def get_size(self, renderer):
rel_size = self._scalable_size
abs_size = 0.
return rel_size, abs_size
Scalable = Scaled
def _get_axes_aspect(ax):
aspect = ax.get_aspect()
if aspect == "auto":
aspect = 1.
return aspect
class AxesX(_Base):
"""
Scaled size whose relative part corresponds to the data width
of the *axes* multiplied by the *aspect*.
"""
def __init__(self, axes, aspect=1., ref_ax=None):
self._axes = axes
self._aspect = aspect
if aspect == "axes" and ref_ax is None:
raise ValueError("ref_ax must be set when aspect='axes'")
self._ref_ax = ref_ax
def get_size(self, renderer):
l1, l2 = self._axes.get_xlim()
if self._aspect == "axes":
ref_aspect = _get_axes_aspect(self._ref_ax)
aspect = ref_aspect / _get_axes_aspect(self._axes)
else:
aspect = self._aspect
rel_size = abs(l2-l1)*aspect
abs_size = 0.
return rel_size, abs_size
class AxesY(_Base):
"""
Scaled size whose relative part corresponds to the data height
of the *axes* multiplied by the *aspect*.
"""
def __init__(self, axes, aspect=1., ref_ax=None):
self._axes = axes
self._aspect = aspect
if aspect == "axes" and ref_ax is None:
raise ValueError("ref_ax must be set when aspect='axes'")
self._ref_ax = ref_ax
def get_size(self, renderer):
l1, l2 = self._axes.get_ylim()
if self._aspect == "axes":
ref_aspect = _get_axes_aspect(self._ref_ax)
aspect = _get_axes_aspect(self._axes)
else:
aspect = self._aspect
rel_size = abs(l2-l1)*aspect
abs_size = 0.
return rel_size, abs_size
class MaxExtent(_Base):
"""
Size whose absolute part is either the largest width or the largest height
of the given *artist_list*.
"""
def __init__(self, artist_list, w_or_h):
self._artist_list = artist_list
_api.check_in_list(["width", "height"], w_or_h=w_or_h)
self._w_or_h = w_or_h
def add_artist(self, a):
self._artist_list.append(a)
def get_size(self, renderer):
rel_size = 0.
extent_list = [
getattr(a.get_window_extent(renderer), self._w_or_h) / a.figure.dpi
for a in self._artist_list]
abs_size = max(extent_list, default=0)
return rel_size, abs_size
class MaxWidth(MaxExtent):
"""
Size whose absolute part is the largest width of the given *artist_list*.
"""
def __init__(self, artist_list):
super().__init__(artist_list, "width")
class MaxHeight(MaxExtent):
"""
Size whose absolute part is the largest height of the given *artist_list*.
"""
def __init__(self, artist_list):
super().__init__(artist_list, "height")
class Fraction(_Base):
"""
An instance whose size is a *fraction* of the *ref_size*.
>>> s = Fraction(0.3, AxesX(ax))
"""
def __init__(self, fraction, ref_size):
_api.check_isinstance(Number, fraction=fraction)
self._fraction_ref = ref_size
self._fraction = fraction
def get_size(self, renderer):
if self._fraction_ref is None:
return self._fraction, 0.
else:
r, a = self._fraction_ref.get_size(renderer)
rel_size = r*self._fraction
abs_size = a*self._fraction
return rel_size, abs_size
class Padded(_Base):
"""
Return a instance where the absolute part of *size* is
increase by the amount of *pad*.
"""
def __init__(self, size, pad):
self._size = size
self._pad = pad
def get_size(self, renderer):
r, a = self._size.get_size(renderer)
rel_size = r
abs_size = a + self._pad
return rel_size, abs_size
def from_any(size, fraction_ref=None):
"""
Create a Fixed unit when the first argument is a float, or a
Fraction unit if that is a string that ends with %. The second
argument is only meaningful when Fraction unit is created.
>>> a = Size.from_any(1.2) # => Size.Fixed(1.2)
>>> Size.from_any("50%", a) # => Size.Fraction(0.5, a)
"""
if isinstance(size, Number):
return Fixed(size)
elif isinstance(size, str):
if size[-1] == "%":
return Fraction(float(size[:-1]) / 100, fraction_ref)
raise ValueError("Unknown format")
class SizeFromFunc(_Base):
def __init__(self, func):
self._func = func
def get_size(self, renderer):
rel_size = 0.
bb = self._func(renderer)
dpi = renderer.points_to_pixels(72.)
abs_size = bb/dpi
return rel_size, abs_size
class GetExtentHelper:
_get_func_map = {
"left": lambda self, axes_bbox: axes_bbox.xmin - self.xmin,
"right": lambda self, axes_bbox: self.xmax - axes_bbox.xmax,
"bottom": lambda self, axes_bbox: axes_bbox.ymin - self.ymin,
"top": lambda self, axes_bbox: self.ymax - axes_bbox.ymax,
}
def __init__(self, ax, direction):
_api.check_in_list(self._get_func_map, direction=direction)
self._ax_list = [ax] if isinstance(ax, Axes) else ax
self._direction = direction
def __call__(self, renderer):
get_func = self._get_func_map[self._direction]
vl = [get_func(ax.get_tightbbox(renderer, call_axes_locator=False),
ax.bbox)
for ax in self._ax_list]
return max(vl)

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"""
A collection of functions and objects for creating or placing inset axes.
"""
from matplotlib import _api, docstring
from matplotlib.offsetbox import AnchoredOffsetbox
from matplotlib.patches import Patch, Rectangle
from matplotlib.path import Path
from matplotlib.transforms import Bbox, BboxTransformTo
from matplotlib.transforms import IdentityTransform, TransformedBbox
from . import axes_size as Size
from .parasite_axes import HostAxes
class InsetPosition:
@docstring.dedent_interpd
def __init__(self, parent, lbwh):
"""
An object for positioning an inset axes.
This is created by specifying the normalized coordinates in the axes,
instead of the figure.
Parameters
----------
parent : `matplotlib.axes.Axes`
Axes to use for normalizing coordinates.
lbwh : iterable of four floats
The left edge, bottom edge, width, and height of the inset axes, in
units of the normalized coordinate of the *parent* axes.
See Also
--------
:meth:`matplotlib.axes.Axes.set_axes_locator`
Examples
--------
The following bounds the inset axes to a box with 20%% of the parent
axes's height and 40%% of the width. The size of the axes specified
([0, 0, 1, 1]) ensures that the axes completely fills the bounding box:
>>> parent_axes = plt.gca()
>>> ax_ins = plt.axes([0, 0, 1, 1])
>>> ip = InsetPosition(ax, [0.5, 0.1, 0.4, 0.2])
>>> ax_ins.set_axes_locator(ip)
"""
self.parent = parent
self.lbwh = lbwh
def __call__(self, ax, renderer):
bbox_parent = self.parent.get_position(original=False)
trans = BboxTransformTo(bbox_parent)
bbox_inset = Bbox.from_bounds(*self.lbwh)
bb = TransformedBbox(bbox_inset, trans)
return bb
class AnchoredLocatorBase(AnchoredOffsetbox):
def __init__(self, bbox_to_anchor, offsetbox, loc,
borderpad=0.5, bbox_transform=None):
super().__init__(
loc, pad=0., child=None, borderpad=borderpad,
bbox_to_anchor=bbox_to_anchor, bbox_transform=bbox_transform
)
def draw(self, renderer):
raise RuntimeError("No draw method should be called")
def __call__(self, ax, renderer):
self.axes = ax
fontsize = renderer.points_to_pixels(self.prop.get_size_in_points())
self._update_offset_func(renderer, fontsize)
width, height, xdescent, ydescent = self.get_extent(renderer)
px, py = self.get_offset(width, height, 0, 0, renderer)
bbox_canvas = Bbox.from_bounds(px, py, width, height)
tr = ax.figure.transFigure.inverted()
bb = TransformedBbox(bbox_canvas, tr)
return bb
class AnchoredSizeLocator(AnchoredLocatorBase):
def __init__(self, bbox_to_anchor, x_size, y_size, loc,
borderpad=0.5, bbox_transform=None):
super().__init__(
bbox_to_anchor, None, loc,
borderpad=borderpad, bbox_transform=bbox_transform
)
self.x_size = Size.from_any(x_size)
self.y_size = Size.from_any(y_size)
def get_extent(self, renderer):
bbox = self.get_bbox_to_anchor()
dpi = renderer.points_to_pixels(72.)
r, a = self.x_size.get_size(renderer)
width = bbox.width * r + a * dpi
r, a = self.y_size.get_size(renderer)
height = bbox.height * r + a * dpi
xd, yd = 0, 0
fontsize = renderer.points_to_pixels(self.prop.get_size_in_points())
pad = self.pad * fontsize
return width + 2 * pad, height + 2 * pad, xd + pad, yd + pad
class AnchoredZoomLocator(AnchoredLocatorBase):
def __init__(self, parent_axes, zoom, loc,
borderpad=0.5,
bbox_to_anchor=None,
bbox_transform=None):
self.parent_axes = parent_axes
self.zoom = zoom
if bbox_to_anchor is None:
bbox_to_anchor = parent_axes.bbox
super().__init__(
bbox_to_anchor, None, loc, borderpad=borderpad,
bbox_transform=bbox_transform)
def get_extent(self, renderer):
bb = TransformedBbox(self.axes.viewLim, self.parent_axes.transData)
fontsize = renderer.points_to_pixels(self.prop.get_size_in_points())
pad = self.pad * fontsize
return (abs(bb.width * self.zoom) + 2 * pad,
abs(bb.height * self.zoom) + 2 * pad,
pad, pad)
class BboxPatch(Patch):
@docstring.dedent_interpd
def __init__(self, bbox, **kwargs):
"""
Patch showing the shape bounded by a Bbox.
Parameters
----------
bbox : `matplotlib.transforms.Bbox`
Bbox to use for the extents of this patch.
**kwargs
Patch properties. Valid arguments include:
%(Patch_kwdoc)s
"""
if "transform" in kwargs:
raise ValueError("transform should not be set")
kwargs["transform"] = IdentityTransform()
super().__init__(**kwargs)
self.bbox = bbox
def get_path(self):
# docstring inherited
x0, y0, x1, y1 = self.bbox.extents
return Path([(x0, y0), (x1, y0), (x1, y1), (x0, y1), (x0, y0)],
closed=True)
class BboxConnector(Patch):
@staticmethod
def get_bbox_edge_pos(bbox, loc):
"""
Helper function to obtain the location of a corner of a bbox
Parameters
----------
bbox : `matplotlib.transforms.Bbox`
loc : {1, 2, 3, 4}
Corner of *bbox*. Valid values are::
'upper right' : 1,
'upper left' : 2,
'lower left' : 3,
'lower right' : 4
Returns
-------
x, y : float
Coordinates of the corner specified by *loc*.
"""
x0, y0, x1, y1 = bbox.extents
if loc == 1:
return x1, y1
elif loc == 2:
return x0, y1
elif loc == 3:
return x0, y0
elif loc == 4:
return x1, y0
@staticmethod
def connect_bbox(bbox1, bbox2, loc1, loc2=None):
"""
Helper function to obtain a Path from one bbox to another.
Parameters
----------
bbox1, bbox2 : `matplotlib.transforms.Bbox`
Bounding boxes to connect.
loc1 : {1, 2, 3, 4}
Corner of *bbox1* to use. Valid values are::
'upper right' : 1,
'upper left' : 2,
'lower left' : 3,
'lower right' : 4
loc2 : {1, 2, 3, 4}, optional
Corner of *bbox2* to use. If None, defaults to *loc1*.
Valid values are::
'upper right' : 1,
'upper left' : 2,
'lower left' : 3,
'lower right' : 4
Returns
-------
path : `matplotlib.path.Path`
A line segment from the *loc1* corner of *bbox1* to the *loc2*
corner of *bbox2*.
"""
if isinstance(bbox1, Rectangle):
bbox1 = TransformedBbox(Bbox.unit(), bbox1.get_transform())
if isinstance(bbox2, Rectangle):
bbox2 = TransformedBbox(Bbox.unit(), bbox2.get_transform())
if loc2 is None:
loc2 = loc1
x1, y1 = BboxConnector.get_bbox_edge_pos(bbox1, loc1)
x2, y2 = BboxConnector.get_bbox_edge_pos(bbox2, loc2)
return Path([[x1, y1], [x2, y2]])
@docstring.dedent_interpd
def __init__(self, bbox1, bbox2, loc1, loc2=None, **kwargs):
"""
Connect two bboxes with a straight line.
Parameters
----------
bbox1, bbox2 : `matplotlib.transforms.Bbox`
Bounding boxes to connect.
loc1 : {1, 2, 3, 4}
Corner of *bbox1* to draw the line. Valid values are::
'upper right' : 1,
'upper left' : 2,
'lower left' : 3,
'lower right' : 4
loc2 : {1, 2, 3, 4}, optional
Corner of *bbox2* to draw the line. If None, defaults to *loc1*.
Valid values are::
'upper right' : 1,
'upper left' : 2,
'lower left' : 3,
'lower right' : 4
**kwargs
Patch properties for the line drawn. Valid arguments include:
%(Patch_kwdoc)s
"""
if "transform" in kwargs:
raise ValueError("transform should not be set")
kwargs["transform"] = IdentityTransform()
if 'fill' in kwargs:
super().__init__(**kwargs)
else:
fill = bool({'fc', 'facecolor', 'color'}.intersection(kwargs))
super().__init__(fill=fill, **kwargs)
self.bbox1 = bbox1
self.bbox2 = bbox2
self.loc1 = loc1
self.loc2 = loc2
def get_path(self):
# docstring inherited
return self.connect_bbox(self.bbox1, self.bbox2,
self.loc1, self.loc2)
class BboxConnectorPatch(BboxConnector):
@docstring.dedent_interpd
def __init__(self, bbox1, bbox2, loc1a, loc2a, loc1b, loc2b, **kwargs):
"""
Connect two bboxes with a quadrilateral.
The quadrilateral is specified by two lines that start and end at
corners of the bboxes. The four sides of the quadrilateral are defined
by the two lines given, the line between the two corners specified in
*bbox1* and the line between the two corners specified in *bbox2*.
Parameters
----------
bbox1, bbox2 : `matplotlib.transforms.Bbox`
Bounding boxes to connect.
loc1a, loc2a : {1, 2, 3, 4}
Corners of *bbox1* and *bbox2* to draw the first line.
Valid values are::
'upper right' : 1,
'upper left' : 2,
'lower left' : 3,
'lower right' : 4
loc1b, loc2b : {1, 2, 3, 4}
Corners of *bbox1* and *bbox2* to draw the second line.
Valid values are::
'upper right' : 1,
'upper left' : 2,
'lower left' : 3,
'lower right' : 4
**kwargs
Patch properties for the line drawn:
%(Patch_kwdoc)s
"""
if "transform" in kwargs:
raise ValueError("transform should not be set")
super().__init__(bbox1, bbox2, loc1a, loc2a, **kwargs)
self.loc1b = loc1b
self.loc2b = loc2b
def get_path(self):
# docstring inherited
path1 = self.connect_bbox(self.bbox1, self.bbox2, self.loc1, self.loc2)
path2 = self.connect_bbox(self.bbox2, self.bbox1,
self.loc2b, self.loc1b)
path_merged = [*path1.vertices, *path2.vertices, path1.vertices[0]]
return Path(path_merged)
def _add_inset_axes(parent_axes, inset_axes):
"""Helper function to add an inset axes and disable navigation in it"""
parent_axes.figure.add_axes(inset_axes)
inset_axes.set_navigate(False)
@docstring.dedent_interpd
def inset_axes(parent_axes, width, height, loc='upper right',
bbox_to_anchor=None, bbox_transform=None,
axes_class=None,
axes_kwargs=None,
borderpad=0.5):
"""
Create an inset axes with a given width and height.
Both sizes used can be specified either in inches or percentage.
For example,::
inset_axes(parent_axes, width='40%%', height='30%%', loc=3)
creates in inset axes in the lower left corner of *parent_axes* which spans
over 30%% in height and 40%% in width of the *parent_axes*. Since the usage
of `.inset_axes` may become slightly tricky when exceeding such standard
cases, it is recommended to read :doc:`the examples
</gallery/axes_grid1/inset_locator_demo>`.
Notes
-----
The meaning of *bbox_to_anchor* and *bbox_to_transform* is interpreted
differently from that of legend. The value of bbox_to_anchor
(or the return value of its get_points method; the default is
*parent_axes.bbox*) is transformed by the bbox_transform (the default
is Identity transform) and then interpreted as points in the pixel
coordinate (which is dpi dependent).
Thus, following three calls are identical and creates an inset axes
with respect to the *parent_axes*::
axins = inset_axes(parent_axes, "30%%", "40%%")
axins = inset_axes(parent_axes, "30%%", "40%%",
bbox_to_anchor=parent_axes.bbox)
axins = inset_axes(parent_axes, "30%%", "40%%",
bbox_to_anchor=(0, 0, 1, 1),
bbox_transform=parent_axes.transAxes)
Parameters
----------
parent_axes : `matplotlib.axes.Axes`
Axes to place the inset axes.
width, height : float or str
Size of the inset axes to create. If a float is provided, it is
the size in inches, e.g. *width=1.3*. If a string is provided, it is
the size in relative units, e.g. *width='40%%'*. By default, i.e. if
neither *bbox_to_anchor* nor *bbox_transform* are specified, those
are relative to the parent_axes. Otherwise they are to be understood
relative to the bounding box provided via *bbox_to_anchor*.
loc : int or str, default: 1
Location to place the inset axes. The valid locations are::
'upper right' : 1,
'upper left' : 2,
'lower left' : 3,
'lower right' : 4,
'right' : 5,
'center left' : 6,
'center right' : 7,
'lower center' : 8,
'upper center' : 9,
'center' : 10
bbox_to_anchor : tuple or `matplotlib.transforms.BboxBase`, optional
Bbox that the inset axes will be anchored to. If None,
a tuple of (0, 0, 1, 1) is used if *bbox_transform* is set
to *parent_axes.transAxes* or *parent_axes.figure.transFigure*.
Otherwise, *parent_axes.bbox* is used. If a tuple, can be either
[left, bottom, width, height], or [left, bottom].
If the kwargs *width* and/or *height* are specified in relative units,
the 2-tuple [left, bottom] cannot be used. Note that,
unless *bbox_transform* is set, the units of the bounding box
are interpreted in the pixel coordinate. When using *bbox_to_anchor*
with tuple, it almost always makes sense to also specify
a *bbox_transform*. This might often be the axes transform
*parent_axes.transAxes*.
bbox_transform : `matplotlib.transforms.Transform`, optional
Transformation for the bbox that contains the inset axes.
If None, a `.transforms.IdentityTransform` is used. The value
of *bbox_to_anchor* (or the return value of its get_points method)
is transformed by the *bbox_transform* and then interpreted
as points in the pixel coordinate (which is dpi dependent).
You may provide *bbox_to_anchor* in some normalized coordinate,
and give an appropriate transform (e.g., *parent_axes.transAxes*).
axes_class : `matplotlib.axes.Axes` type, optional
If specified, the inset axes created will be created with this class's
constructor.
axes_kwargs : dict, optional
Keyworded arguments to pass to the constructor of the inset axes.
Valid arguments include:
%(Axes_kwdoc)s
borderpad : float, default: 0.5
Padding between inset axes and the bbox_to_anchor.
The units are axes font size, i.e. for a default font size of 10 points
*borderpad = 0.5* is equivalent to a padding of 5 points.
Returns
-------
inset_axes : *axes_class*
Inset axes object created.
"""
if axes_class is None:
axes_class = HostAxes
if axes_kwargs is None:
inset_axes = axes_class(parent_axes.figure, parent_axes.get_position())
else:
inset_axes = axes_class(parent_axes.figure, parent_axes.get_position(),
**axes_kwargs)
if bbox_transform in [parent_axes.transAxes,
parent_axes.figure.transFigure]:
if bbox_to_anchor is None:
_api.warn_external("Using the axes or figure transform requires a "
"bounding box in the respective coordinates. "
"Using bbox_to_anchor=(0, 0, 1, 1) now.")
bbox_to_anchor = (0, 0, 1, 1)
if bbox_to_anchor is None:
bbox_to_anchor = parent_axes.bbox
if (isinstance(bbox_to_anchor, tuple) and
(isinstance(width, str) or isinstance(height, str))):
if len(bbox_to_anchor) != 4:
raise ValueError("Using relative units for width or height "
"requires to provide a 4-tuple or a "
"`Bbox` instance to `bbox_to_anchor.")
axes_locator = AnchoredSizeLocator(bbox_to_anchor,
width, height,
loc=loc,
bbox_transform=bbox_transform,
borderpad=borderpad)
inset_axes.set_axes_locator(axes_locator)
_add_inset_axes(parent_axes, inset_axes)
return inset_axes
@docstring.dedent_interpd
def zoomed_inset_axes(parent_axes, zoom, loc='upper right',
bbox_to_anchor=None, bbox_transform=None,
axes_class=None,
axes_kwargs=None,
borderpad=0.5):
"""
Create an anchored inset axes by scaling a parent axes. For usage, also see
:doc:`the examples </gallery/axes_grid1/inset_locator_demo2>`.
Parameters
----------
parent_axes : `matplotlib.axes.Axes`
Axes to place the inset axes.
zoom : float
Scaling factor of the data axes. *zoom* > 1 will enlargen the
coordinates (i.e., "zoomed in"), while *zoom* < 1 will shrink the
coordinates (i.e., "zoomed out").
loc : int or str, default: 'upper right'
Location to place the inset axes. The valid locations are::
'upper right' : 1,
'upper left' : 2,
'lower left' : 3,
'lower right' : 4,
'right' : 5,
'center left' : 6,
'center right' : 7,
'lower center' : 8,
'upper center' : 9,
'center' : 10
bbox_to_anchor : tuple or `matplotlib.transforms.BboxBase`, optional
Bbox that the inset axes will be anchored to. If None,
*parent_axes.bbox* is used. If a tuple, can be either
[left, bottom, width, height], or [left, bottom].
If the kwargs *width* and/or *height* are specified in relative units,
the 2-tuple [left, bottom] cannot be used. Note that
the units of the bounding box are determined through the transform
in use. When using *bbox_to_anchor* it almost always makes sense to
also specify a *bbox_transform*. This might often be the axes transform
*parent_axes.transAxes*.
bbox_transform : `matplotlib.transforms.Transform`, optional
Transformation for the bbox that contains the inset axes.
If None, a `.transforms.IdentityTransform` is used (i.e. pixel
coordinates). This is useful when not providing any argument to
*bbox_to_anchor*. When using *bbox_to_anchor* it almost always makes
sense to also specify a *bbox_transform*. This might often be the
axes transform *parent_axes.transAxes*. Inversely, when specifying
the axes- or figure-transform here, be aware that not specifying
*bbox_to_anchor* will use *parent_axes.bbox*, the units of which are
in display (pixel) coordinates.
axes_class : `matplotlib.axes.Axes` type, optional
If specified, the inset axes created will be created with this class's
constructor.
axes_kwargs : dict, optional
Keyworded arguments to pass to the constructor of the inset axes.
Valid arguments include:
%(Axes_kwdoc)s
borderpad : float, default: 0.5
Padding between inset axes and the bbox_to_anchor.
The units are axes font size, i.e. for a default font size of 10 points
*borderpad = 0.5* is equivalent to a padding of 5 points.
Returns
-------
inset_axes : *axes_class*
Inset axes object created.
"""
if axes_class is None:
axes_class = HostAxes
if axes_kwargs is None:
inset_axes = axes_class(parent_axes.figure, parent_axes.get_position())
else:
inset_axes = axes_class(parent_axes.figure, parent_axes.get_position(),
**axes_kwargs)
axes_locator = AnchoredZoomLocator(parent_axes, zoom=zoom, loc=loc,
bbox_to_anchor=bbox_to_anchor,
bbox_transform=bbox_transform,
borderpad=borderpad)
inset_axes.set_axes_locator(axes_locator)
_add_inset_axes(parent_axes, inset_axes)
return inset_axes
@docstring.dedent_interpd
def mark_inset(parent_axes, inset_axes, loc1, loc2, **kwargs):
"""
Draw a box to mark the location of an area represented by an inset axes.
This function draws a box in *parent_axes* at the bounding box of
*inset_axes*, and shows a connection with the inset axes by drawing lines
at the corners, giving a "zoomed in" effect.
Parameters
----------
parent_axes : `matplotlib.axes.Axes`
Axes which contains the area of the inset axes.
inset_axes : `matplotlib.axes.Axes`
The inset axes.
loc1, loc2 : {1, 2, 3, 4}
Corners to use for connecting the inset axes and the area in the
parent axes.
**kwargs
Patch properties for the lines and box drawn:
%(Patch_kwdoc)s
Returns
-------
pp : `matplotlib.patches.Patch`
The patch drawn to represent the area of the inset axes.
p1, p2 : `matplotlib.patches.Patch`
The patches connecting two corners of the inset axes and its area.
"""
rect = TransformedBbox(inset_axes.viewLim, parent_axes.transData)
if 'fill' in kwargs:
pp = BboxPatch(rect, **kwargs)
else:
fill = bool({'fc', 'facecolor', 'color'}.intersection(kwargs))
pp = BboxPatch(rect, fill=fill, **kwargs)
parent_axes.add_patch(pp)
p1 = BboxConnector(inset_axes.bbox, rect, loc1=loc1, **kwargs)
inset_axes.add_patch(p1)
p1.set_clip_on(False)
p2 = BboxConnector(inset_axes.bbox, rect, loc1=loc2, **kwargs)
inset_axes.add_patch(p2)
p2.set_clip_on(False)
return pp, p1, p2

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import matplotlib.axes as maxes
from matplotlib.artist import Artist
from matplotlib.axis import XAxis, YAxis
class SimpleChainedObjects:
def __init__(self, objects):
self._objects = objects
def __getattr__(self, k):
_a = SimpleChainedObjects([getattr(a, k) for a in self._objects])
return _a
def __call__(self, *args, **kwargs):
for m in self._objects:
m(*args, **kwargs)
class Axes(maxes.Axes):
class AxisDict(dict):
def __init__(self, axes):
self.axes = axes
super().__init__()
def __getitem__(self, k):
if isinstance(k, tuple):
r = SimpleChainedObjects(
# super() within a list comprehension needs explicit args.
[super(Axes.AxisDict, self).__getitem__(k1) for k1 in k])
return r
elif isinstance(k, slice):
if k.start is None and k.stop is None and k.step is None:
return SimpleChainedObjects(list(self.values()))
else:
raise ValueError("Unsupported slice")
else:
return dict.__getitem__(self, k)
def __call__(self, *v, **kwargs):
return maxes.Axes.axis(self.axes, *v, **kwargs)
def _init_axis_artists(self, axes=None):
if axes is None:
axes = self
self._axislines = self.AxisDict(self)
self._axislines.update(
bottom=SimpleAxisArtist(self.xaxis, 1, self.spines["bottom"]),
top=SimpleAxisArtist(self.xaxis, 2, self.spines["top"]),
left=SimpleAxisArtist(self.yaxis, 1, self.spines["left"]),
right=SimpleAxisArtist(self.yaxis, 2, self.spines["right"]))
@property
def axis(self):
return self._axislines
def cla(self):
super().cla()
self._init_axis_artists()
class SimpleAxisArtist(Artist):
def __init__(self, axis, axisnum, spine):
self._axis = axis
self._axisnum = axisnum
self.line = spine
if isinstance(axis, XAxis):
self._axis_direction = ["bottom", "top"][axisnum-1]
elif isinstance(axis, YAxis):
self._axis_direction = ["left", "right"][axisnum-1]
else:
raise ValueError(
f"axis must be instance of XAxis or YAxis, but got {axis}")
super().__init__()
@property
def major_ticks(self):
tickline = "tick%dline" % self._axisnum
return SimpleChainedObjects([getattr(tick, tickline)
for tick in self._axis.get_major_ticks()])
@property
def major_ticklabels(self):
label = "label%d" % self._axisnum
return SimpleChainedObjects([getattr(tick, label)
for tick in self._axis.get_major_ticks()])
@property
def label(self):
return self._axis.label
def set_visible(self, b):
self.toggle(all=b)
self.line.set_visible(b)
self._axis.set_visible(True)
super().set_visible(b)
def set_label(self, txt):
self._axis.set_label_text(txt)
def toggle(self, all=None, ticks=None, ticklabels=None, label=None):
if all:
_ticks, _ticklabels, _label = True, True, True
elif all is not None:
_ticks, _ticklabels, _label = False, False, False
else:
_ticks, _ticklabels, _label = None, None, None
if ticks is not None:
_ticks = ticks
if ticklabels is not None:
_ticklabels = ticklabels
if label is not None:
_label = label
tickOn = "tick%dOn" % self._axisnum
labelOn = "label%dOn" % self._axisnum
if _ticks is not None:
tickparam = {tickOn: _ticks}
self._axis.set_tick_params(**tickparam)
if _ticklabels is not None:
tickparam = {labelOn: _ticklabels}
self._axis.set_tick_params(**tickparam)
if _label is not None:
pos = self._axis.get_label_position()
if (pos == self._axis_direction) and not _label:
self._axis.label.set_visible(False)
elif _label:
self._axis.label.set_visible(True)
self._axis.set_label_position(self._axis_direction)

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@@ -0,0 +1,390 @@
import functools
from matplotlib import _api
import matplotlib.artist as martist
import matplotlib.transforms as mtransforms
from matplotlib.axes import subplot_class_factory
from matplotlib.transforms import Bbox
from .mpl_axes import Axes
class ParasiteAxesBase:
def __init__(self, parent_axes, aux_transform=None,
*, viewlim_mode=None, **kwargs):
self._parent_axes = parent_axes
self.transAux = aux_transform
self.set_viewlim_mode(viewlim_mode)
kwargs["frameon"] = False
super().__init__(parent_axes.figure, parent_axes._position, **kwargs)
def cla(self):
super().cla()
martist.setp(self.get_children(), visible=False)
self._get_lines = self._parent_axes._get_lines
def get_images_artists(self):
artists = {a for a in self.get_children() if a.get_visible()}
images = {a for a in self.images if a.get_visible()}
return list(images), list(artists - images)
def pick(self, mouseevent):
# This most likely goes to Artist.pick (depending on axes_class given
# to the factory), which only handles pick events registered on the
# axes associated with each child:
super().pick(mouseevent)
# But parasite axes are additionally given pick events from their host
# axes (cf. HostAxesBase.pick), which we handle here:
for a in self.get_children():
if (hasattr(mouseevent.inaxes, "parasites")
and self in mouseevent.inaxes.parasites):
a.pick(mouseevent)
# aux_transform support
def _set_lim_and_transforms(self):
if self.transAux is not None:
self.transAxes = self._parent_axes.transAxes
self.transData = self.transAux + self._parent_axes.transData
self._xaxis_transform = mtransforms.blended_transform_factory(
self.transData, self.transAxes)
self._yaxis_transform = mtransforms.blended_transform_factory(
self.transAxes, self.transData)
else:
super()._set_lim_and_transforms()
def set_viewlim_mode(self, mode):
_api.check_in_list([None, "equal", "transform"], mode=mode)
self._viewlim_mode = mode
def get_viewlim_mode(self):
return self._viewlim_mode
@_api.deprecated("3.4", alternative="apply_aspect")
def update_viewlim(self):
return self._update_viewlim
def _update_viewlim(self): # Inline after deprecation elapses.
viewlim = self._parent_axes.viewLim.frozen()
mode = self.get_viewlim_mode()
if mode is None:
pass
elif mode == "equal":
self.axes.viewLim.set(viewlim)
elif mode == "transform":
self.axes.viewLim.set(
viewlim.transformed(self.transAux.inverted()))
else:
_api.check_in_list([None, "equal", "transform"], mode=mode)
def apply_aspect(self, position=None):
self._update_viewlim()
super().apply_aspect()
# end of aux_transform support
@functools.lru_cache(None)
def parasite_axes_class_factory(axes_class=None):
if axes_class is None:
_api.warn_deprecated(
"3.3", message="Support for passing None to "
"parasite_axes_class_factory is deprecated since %(since)s and "
"will be removed %(removal)s; explicitly pass the default Axes "
"class instead.")
axes_class = Axes
return type("%sParasite" % axes_class.__name__,
(ParasiteAxesBase, axes_class), {})
ParasiteAxes = parasite_axes_class_factory(Axes)
@_api.deprecated("3.4", alternative="ParasiteAxesBase")
class ParasiteAxesAuxTransBase:
def __init__(self, parent_axes, aux_transform, viewlim_mode=None,
**kwargs):
# Explicit wrapper for deprecation to work.
super().__init__(parent_axes, aux_transform,
viewlim_mode=viewlim_mode, **kwargs)
def _set_lim_and_transforms(self):
self.transAxes = self._parent_axes.transAxes
self.transData = self.transAux + self._parent_axes.transData
self._xaxis_transform = mtransforms.blended_transform_factory(
self.transData, self.transAxes)
self._yaxis_transform = mtransforms.blended_transform_factory(
self.transAxes, self.transData)
def set_viewlim_mode(self, mode):
_api.check_in_list([None, "equal", "transform"], mode=mode)
self._viewlim_mode = mode
def get_viewlim_mode(self):
return self._viewlim_mode
@_api.deprecated("3.4", alternative="apply_aspect")
def update_viewlim(self):
return self._update_viewlim()
def _update_viewlim(self): # Inline after deprecation elapses.
viewlim = self._parent_axes.viewLim.frozen()
mode = self.get_viewlim_mode()
if mode is None:
pass
elif mode == "equal":
self.axes.viewLim.set(viewlim)
elif mode == "transform":
self.axes.viewLim.set(
viewlim.transformed(self.transAux.inverted()))
else:
_api.check_in_list([None, "equal", "transform"], mode=mode)
def apply_aspect(self, position=None):
self._update_viewlim()
super().apply_aspect()
@_api.deprecated("3.4", alternative="parasite_axes_class_factory")
@functools.lru_cache(None)
def parasite_axes_auxtrans_class_factory(axes_class=None):
if axes_class is None:
_api.warn_deprecated(
"3.3", message="Support for passing None to "
"parasite_axes_auxtrans_class_factory is deprecated since "
"%(since)s and will be removed %(removal)s; explicitly pass the "
"default ParasiteAxes class instead.")
parasite_axes_class = ParasiteAxes
elif not issubclass(axes_class, ParasiteAxesBase):
parasite_axes_class = parasite_axes_class_factory(axes_class)
else:
parasite_axes_class = axes_class
return type("%sParasiteAuxTrans" % parasite_axes_class.__name__,
(ParasiteAxesAuxTransBase, parasite_axes_class),
{'name': 'parasite_axes'})
# Also deprecated.
with _api.suppress_matplotlib_deprecation_warning():
ParasiteAxesAuxTrans = parasite_axes_auxtrans_class_factory(ParasiteAxes)
class HostAxesBase:
def __init__(self, *args, **kwargs):
self.parasites = []
super().__init__(*args, **kwargs)
def get_aux_axes(self, tr=None, viewlim_mode="equal", axes_class=Axes):
"""
Add a parasite axes to this host.
Despite this method's name, this should actually be thought of as an
``add_parasite_axes`` method.
*tr* may be `.Transform`, in which case the following relation will
hold: ``parasite.transData = tr + host.transData``. Alternatively, it
may be None (the default), no special relationship will hold between
the parasite's and the host's ``transData``.
"""
parasite_axes_class = parasite_axes_class_factory(axes_class)
ax2 = parasite_axes_class(self, tr, viewlim_mode=viewlim_mode)
# note that ax2.transData == tr + ax1.transData
# Anything you draw in ax2 will match the ticks and grids of ax1.
self.parasites.append(ax2)
ax2._remove_method = self.parasites.remove
return ax2
def _get_legend_handles(self, legend_handler_map=None):
all_handles = super()._get_legend_handles()
for ax in self.parasites:
all_handles.extend(ax._get_legend_handles(legend_handler_map))
return all_handles
def draw(self, renderer):
orig_artists = list(self.artists)
orig_images = list(self.images)
if hasattr(self, "get_axes_locator"):
locator = self.get_axes_locator()
if locator:
pos = locator(self, renderer)
self.set_position(pos, which="active")
self.apply_aspect(pos)
else:
self.apply_aspect()
else:
self.apply_aspect()
rect = self.get_position()
for ax in self.parasites:
ax.apply_aspect(rect)
images, artists = ax.get_images_artists()
self.images.extend(images)
self.artists.extend(artists)
super().draw(renderer)
self.artists = orig_artists
self.images = orig_images
def cla(self):
for ax in self.parasites:
ax.cla()
super().cla()
def pick(self, mouseevent):
super().pick(mouseevent)
# Also pass pick events on to parasite axes and, in turn, their
# children (cf. ParasiteAxesBase.pick)
for a in self.parasites:
a.pick(mouseevent)
def twinx(self, axes_class=None):
"""
Create a twin of Axes with a shared x-axis but independent y-axis.
The y-axis of self will have ticks on the left and the returned axes
will have ticks on the right.
"""
ax = self._add_twin_axes(axes_class, sharex=self)
self.axis["right"].set_visible(False)
ax.axis["right"].set_visible(True)
ax.axis["left", "top", "bottom"].set_visible(False)
return ax
def twiny(self, axes_class=None):
"""
Create a twin of Axes with a shared y-axis but independent x-axis.
The x-axis of self will have ticks on the bottom and the returned axes
will have ticks on the top.
"""
ax = self._add_twin_axes(axes_class, sharey=self)
self.axis["top"].set_visible(False)
ax.axis["top"].set_visible(True)
ax.axis["left", "right", "bottom"].set_visible(False)
return ax
def twin(self, aux_trans=None, axes_class=None):
"""
Create a twin of Axes with no shared axis.
While self will have ticks on the left and bottom axis, the returned
axes will have ticks on the top and right axis.
"""
if aux_trans is None:
aux_trans = mtransforms.IdentityTransform()
ax = self._add_twin_axes(
axes_class, aux_transform=aux_trans, viewlim_mode="transform")
self.axis["top", "right"].set_visible(False)
ax.axis["top", "right"].set_visible(True)
ax.axis["left", "bottom"].set_visible(False)
return ax
def _add_twin_axes(self, axes_class, **kwargs):
"""
Helper for `.twinx`/`.twiny`/`.twin`.
*kwargs* are forwarded to the parasite axes constructor.
"""
if axes_class is None:
axes_class = self._get_base_axes()
ax = parasite_axes_class_factory(axes_class)(self, **kwargs)
self.parasites.append(ax)
ax._remove_method = self._remove_any_twin
return ax
def _remove_any_twin(self, ax):
self.parasites.remove(ax)
restore = ["top", "right"]
if ax._sharex:
restore.remove("top")
if ax._sharey:
restore.remove("right")
self.axis[tuple(restore)].set_visible(True)
self.axis[tuple(restore)].toggle(ticklabels=False, label=False)
def get_tightbbox(self, renderer, call_axes_locator=True,
bbox_extra_artists=None):
bbs = [
*[ax.get_tightbbox(renderer, call_axes_locator=call_axes_locator)
for ax in self.parasites],
super().get_tightbbox(renderer,
call_axes_locator=call_axes_locator,
bbox_extra_artists=bbox_extra_artists)]
return Bbox.union([b for b in bbs if b.width != 0 or b.height != 0])
@functools.lru_cache(None)
def host_axes_class_factory(axes_class=None):
if axes_class is None:
_api.warn_deprecated(
"3.3", message="Support for passing None to host_axes_class is "
"deprecated since %(since)s and will be removed %(removed)s; "
"explicitly pass the default Axes class instead.")
axes_class = Axes
def _get_base_axes(self):
return axes_class
return type("%sHostAxes" % axes_class.__name__,
(HostAxesBase, axes_class),
{'_get_base_axes': _get_base_axes})
def host_subplot_class_factory(axes_class):
host_axes_class = host_axes_class_factory(axes_class)
subplot_host_class = subplot_class_factory(host_axes_class)
return subplot_host_class
HostAxes = host_axes_class_factory(Axes)
SubplotHost = subplot_class_factory(HostAxes)
def host_axes(*args, axes_class=Axes, figure=None, **kwargs):
"""
Create axes that can act as a hosts to parasitic axes.
Parameters
----------
figure : `matplotlib.figure.Figure`
Figure to which the axes will be added. Defaults to the current figure
`.pyplot.gcf()`.
*args, **kwargs
Will be passed on to the underlying ``Axes`` object creation.
"""
import matplotlib.pyplot as plt
host_axes_class = host_axes_class_factory(axes_class)
if figure is None:
figure = plt.gcf()
ax = host_axes_class(figure, *args, **kwargs)
figure.add_axes(ax)
plt.draw_if_interactive()
return ax
def host_subplot(*args, axes_class=Axes, figure=None, **kwargs):
"""
Create a subplot that can act as a host to parasitic axes.
Parameters
----------
figure : `matplotlib.figure.Figure`
Figure to which the subplot will be added. Defaults to the current
figure `.pyplot.gcf()`.
*args, **kwargs
Will be passed on to the underlying ``Axes`` object creation.
"""
import matplotlib.pyplot as plt
host_subplot_class = host_subplot_class_factory(axes_class)
if figure is None:
figure = plt.gcf()
ax = host_subplot_class(figure, *args, **kwargs)
figure.add_subplot(ax)
plt.draw_if_interactive()
return ax