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graphics.py
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graphics.py
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# -*- coding: utf-8 -*-
# -----------------------------------------------------------------------------
# Copyright INRIA
# Contributors: Wahiba Taouali ([email protected])
# Nicolas P. Rougier ([email protected])
#
# This software is governed by the CeCILL license under French law and abiding
# by the rules of distribution of free software. You can use, modify and/ or
# redistribute the software under the terms of the CeCILL license as circulated
# by CEA, CNRS and INRIA at the following URL
# http://www.cecill.info/index.en.html.
#
# As a counterpart to the access to the source code and rights to copy, modify
# and redistribute granted by the license, users are provided only with a
# limited warranty and the software's author, the holder of the economic
# rights, and the successive licensors have only limited liability.
#
# In this respect, the user's attention is drawn to the risks associated with
# loading, using, modifying and/or developing or reproducing the software by
# the user in light of its specific status of free software, that may mean that
# it is complicated to manipulate, and that also therefore means that it is
# reserved for developers and experienced professionals having in-depth
# computer knowledge. Users are therefore encouraged to load and test the
# software's suitability as regards their requirements in conditions enabling
# the security of their systems and/or data to be ensured and, more generally,
# to use and operate it in the same conditions as regards security.
#
# The fact that you are presently reading this means that you have had
# knowledge of the CeCILL license and that you accept its terms.
# -----------------------------------------------------------------------------
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import ImageGrid
from mpl_toolkits.axes_grid1.inset_locator import mark_inset
from mpl_toolkits.axes_grid1.inset_locator import zoomed_inset_axes
from projections import *
# -----------------------------------------------------------------------------
def polar_frame(ax, title=None, legend=False, zoom=False, labels=True):
""" Draw a polar frame """
for rho in [0, 2,5,10,20,40,60,80,90]:
lw, color, alpha = 1, '0.00', 0.25
if rho == 90 and not zoom:
color, lw, alpha = '0.00', 2, 1
n = 500
R = np.ones(n)*rho/90.0
T = np.linspace(-np.pi/2,np.pi/2,n)
X,Y = polar_to_cartesian(R,T)
ax.plot(X, Y-1/2, color=color, lw=lw, alpha=alpha)
if not zoom and rho in [0,10,20,40,80] and labels:
ax.text(X[-1]*1.0-0.075, Y[-1],u'%d°' % rho, color='k', # size=15,
horizontalalignment='center', verticalalignment='center')
for theta in [-90,-60,-30,0,+30,+60,+90]:
lw, color, alpha = 1, '0.00', 0.25
if theta in[-90,+90] and not zoom:
color, lw, alpha = '0.00', 2, 1
angle = theta/90.0*np.pi/2
n = 500
R = np.linspace(0,1,n)
T = np.ones(n)*angle
X,Y = polar_to_cartesian(R,T)
ax.plot(X, Y, color=color, lw=lw, alpha=alpha)
if not zoom and theta in [-90,-60,-30,+30,+60,+90] and labels:
ax.text(X[-1]*1.05, Y[-1]*1.05,u'%d°' % theta, color='k', # size=15,
horizontalalignment='left', verticalalignment='center')
d = 0.01
ax.set_xlim( 0.0-d, 1.0+d)
ax.set_ylim(-1.0-d, 1.0+d)
ax.set_xticks([])
ax.set_yticks([])
if legend:
ax.set_frame_on(True)
ax.spines['left'].set_color('none')
ax.spines['right'].set_color('none')
ax.spines['top'].set_color('none')
ax.xaxis.set_ticks_position('bottom')
ax.spines['bottom'].set_position(('data',-1.2))
ax.set_xticks([])
ax.text(0.0,-1.1, "$\longleftarrow$ Foveal",
verticalalignment='top', horizontalalignment='left', size=12)
ax.text(1.0,-1.1, "Peripheral $\longrightarrow$",
verticalalignment='top', horizontalalignment='right', size=12)
else:
ax.set_frame_on(False)
if title:
ax.title(title)
# -----------------------------------------------------------------------------
def logpolar_frame(ax, title=None, legend=False, labels=True):
""" Draw a log polar frame """
for rho in [2,5,10,20,40,60,80,90]:
lw, color, alpha = 1, '0.00', 0.25
if rho == 90:
color, lw, alpha = '0.00', 2, 1
n = 500
R = np.ones(n)*rho/90.0
T = np.linspace(-np.pi/2,np.pi/2,n)
X,Y = polar_to_logpolar(R,T)
X,Y = X*2, 2*Y-1
ax.plot(X, Y, color=color, lw=lw, alpha=alpha)
if labels and rho in [2,5,10,20,40,80]:
ax.text(X[-1], Y[-1]+0.05, u'%d°' % rho, color='k', # size=15,
horizontalalignment='right', verticalalignment='bottom')
for theta in [-90,-60,-30, 0, +30,+60,+90]:
lw, color, alpha = 1, '0.00', 0.25
if theta in[-90,+90]:
color, lw, alpha = '0.00', 2, 1
angle = theta/90.0*np.pi/2
n = 500
R = np.linspace(0,1,n)
T = np.ones(n)*angle
X,Y = polar_to_logpolar(R,T)
X,Y = X*2, 2*Y-1
ax.plot(X,Y, color=color, lw=lw, alpha=alpha)
if labels:
ax.text(X[-1]*1.0+.05, Y[-1]*1.0,u'%d°' % theta, color='k', # size=15,
horizontalalignment='left', verticalalignment='center')
d = 0.01
ax.set_xlim( 0.0-d, 2.0+d)
ax.set_ylim(-1.0-d, 1.0+d)
ax.set_xticks([])
ax.set_yticks([])
if legend:
ax.set_frame_on(True)
ax.spines['left'].set_color('none')
ax.spines['right'].set_color('none')
ax.spines['top'].set_color('none')
ax.xaxis.set_ticks_position('bottom')
ax.spines['bottom'].set_position(('data',-1.2))
ax.set_xticks([0,2])
ax.set_xticklabels(['0', '4.8 (mm)'])
ax.text(0.0,-1.1, "$\longleftarrow$ Rostral",
verticalalignment='top', horizontalalignment='left', size=12)
ax.text(2,-1.1, "Caudal $\longrightarrow$",
verticalalignment='top', horizontalalignment='right', size=12)
else:
ax.set_frame_on(False)
if title:
ax.title(title)
# -----------------------------------------------------------------------------
def polar_imshow(axis, Z, *args, **kwargs):
kwargs['interpolation'] = kwargs.get('interpolation', 'nearest')
kwargs['cmap'] = kwargs.get('cmap', plt.cm.gray_r)
#kwargs['vmin'] = kwargs.get('vmin', Z.min())
#kwargs['vmax'] = kwargs.get('vmax', Z.max())
kwargs['vmin'] = kwargs.get('vmin', 0)
kwargs['vmax'] = kwargs.get('vmax', 1)
kwargs['origin'] = kwargs.get('origin', 'lower')
axis.imshow(Z, extent=[0,1,-1, 1], *args, **kwargs)
# -----------------------------------------------------------------------------
def logpolar_imshow(axis, Z, *args, **kwargs):
kwargs['interpolation'] = kwargs.get('interpolation', 'nearest')
kwargs['cmap'] = kwargs.get('cmap', plt.cm.gray_r)
#kwargs['vmin'] = kwargs.get('vmin', Z.min())
#kwargs['vmax'] = kwargs.get('vmax', Z.max())
kwargs['vmin'] = kwargs.get('vmin', 0)
kwargs['vmax'] = kwargs.get('vmax', 1)
kwargs['origin'] = kwargs.get('origin', 'lower')
im = axis.imshow(Z, extent=[0,2,-1, 1], *args, **kwargs)
# axins = inset_axes(axis, width='25%', height='5%', loc=3)
# vmin, vmax = Z.min(), Z.max()
# plt.colorbar(im, cax=axins, orientation='horizontal', ticks=[vmin,vmax], format = '%.2f')
# axins.xaxis.set_ticks_position('bottom')