/usr/lib/python3/dist-packages/mpl_toolkits/axes_grid1/axes_rgb.py is in python3-matplotlib 2.0.0+dfsg1-2.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 | from __future__ import (absolute_import, division, print_function,
unicode_literals)
import six
import numpy as np
from .axes_divider import make_axes_locatable, Size, locatable_axes_factory
import sys
from .mpl_axes import Axes
def make_rgb_axes(ax, pad=0.01, axes_class=None, add_all=True):
"""
pad : fraction of the axes height.
"""
divider = make_axes_locatable(ax)
pad_size = Size.Fraction(pad, Size.AxesY(ax))
xsize = Size.Fraction((1.-2.*pad)/3., Size.AxesX(ax))
ysize = Size.Fraction((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 = locatable_axes_factory(ax._axes_class)
except AttributeError:
axes_class = locatable_axes_factory(type(ax))
for ny in [4, 2, 0]:
ax1 = axes_class(ax.get_figure(),
ax.get_position(original=True),
sharex=ax, sharey=ax)
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
def imshow_rgb(ax, r, g, b, **kwargs):
ny, nx = r.shape
R = np.zeros([ny, nx, 3], dtype="d")
R[:,:,0] = r
G = np.zeros_like(R)
G[:,:,1] = g
B = np.zeros_like(R)
B[:,:,2] = b
RGB = R + G + B
im_rgb = ax.imshow(RGB, **kwargs)
return im_rgb
class RGBAxesBase(object):
"""base class for a 4-panel imshow (RGB, R, G, B)
Layout:
+---------------+-----+
| | R |
+ +-----+
| RGB | G |
+ +-----+
| | B |
+---------------+-----+
Attributes
----------
_defaultAxesClass : matplotlib.axes.Axes
defaults to 'Axes' in RGBAxes child class.
No default in abstract base class
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
"""
def __init__(self, *kl, **kwargs):
"""
Parameters
----------
pad : float
fraction of the axes height to put as padding.
defaults to 0.0
add_all : bool
True: Add the {rgb, r, g, b} axes to the figure
defaults to True.
axes_class : matplotlib.axes.Axes
kl :
Unpacked into axes_class() init for RGB
kwargs :
Unpacked into axes_class() init for RGB, R, G, B axes
"""
pad = kwargs.pop("pad", 0.0)
add_all = kwargs.pop("add_all", True)
try:
axes_class = kwargs.pop("axes_class", self._defaultAxesClass)
except AttributeError:
new_msg = ("A subclass of RGBAxesBase must have a "
"_defaultAxesClass attribute. If you are not sure which "
"axes class to use, consider using "
"mpl_toolkits.axes_grid1.mpl_axes.Axes.")
six.reraise(AttributeError, AttributeError(new_msg),
sys.exc_info()[2])
ax = axes_class(*kl, **kwargs)
divider = make_axes_locatable(ax)
pad_size = Size.Fraction(pad, Size.AxesY(ax))
xsize = Size.Fraction((1.-2.*pad)/3., Size.AxesX(ax))
ysize = Size.Fraction((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 = []
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)
ax1.axis[:].toggle(ticklabels=False)
ax_rgb.append(ax1)
self.RGB = ax
self.R, self.G, self.B = ax_rgb
if add_all:
fig = ax.get_figure()
fig.add_axes(ax)
self.add_RGB_to_figure()
self._config_axes()
def _config_axes(self, line_color='w', marker_edge_color='w'):
"""Set the line color and ticks for the axes
Parameters
----------
line_color : any matplotlib color
marker_edge_color : any matplotlib color
"""
for ax1 in [self.RGB, self.R, self.G, self.B]:
ax1.axis[:].line.set_color(line_color)
ax1.axis[:].major_ticks.set_markeredgecolor(marker_edge_color)
def add_RGB_to_figure(self):
"""Add the 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 : array-like
The red array
g : array-like
The green array
b : array-like
The blue array
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
"""
ny, nx = r.shape
if not ((nx, ny) == g.shape == b.shape):
raise ValueError('Input shapes do not match.'
'\nr.shape = {0}'
'\ng.shape = {1}'
'\nb.shape = {2}'
''.format(r.shape, g.shape, b.shape))
R = np.zeros([ny, nx, 3], dtype="d")
R[:,:,0] = r
G = np.zeros_like(R)
G[:,:,1] = g
B = np.zeros_like(R)
B[:,:,2] = b
RGB = R + G + 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
class RGBAxes(RGBAxesBase):
_defaultAxesClass = Axes
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