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\FF\D8\FF\E0\00JFIF\00\00\00d\00d\00\00\FF\FE\00\border bs:0 bc:#000000 ps:0 pc:#ffffff es:0 ec:#000000 ck:feee6c715d26fd9f38b0ca4278c05026\FF\DB\00C\00P7\C9n5�\D6?\BD�\9Ds\EBp\9F[`8m\B7)o\B5\E8\E6I\99\FE3]]A2\BA\8Cw\D6E\93\\DEv\C8\009\F2\F1NI?uc\\F5\EA\96k\xN<~buv\EA\C8\D7 \8B\84\CEcxI\BBg\AE\9E=\D6+n\EC\80\C8A\8C\AE\EB\CF\D5\DA\E9"2\A4\B9j5\EB\F3W\B63\96\B30Yu\DA\FC8\ED\DF\E7Ms\FB\F1\8E\B3\FA\EA\E8\E6(\883zs\F2_\8DFk\8Bh \00\8C\DCw\D3R\B5+6X\BA\B2\C4j\AB0\B4\FCMw\C2I\8E\9B\E3\A9~9u\FA\D3l\80\C8%p\EE\FDn2� \00$\FEj\C4e\A9\DB\~\95\A7\A5\80EK\BB\8DDsP\00@@AD'k\CF\E8\DB\D2(\80\9AK\D3\85\D6lb\F2\BA\8C*\80\00)\95 59\A3R:\F3\CE"\B6\80\88\00\00i1u4�\E9\F2�\A6\A2\FACM\93WMb*\E0*\00\00\00\00\00(\A8\80\00\00\80\00\00\00\00\00\00\00\00\00\FF\D9 C/// import numpy as np from axes_divider import make_axes_locatable, Size, locatable_axes_factory 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 #import matplotlib.axes as maxes 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 from mpl_axes import Axes class RGBAxesBase(object): def __init__(self, *kl, **kwargs): pad = kwargs.pop("pad", 0.0) add_all = kwargs.pop("add_all", True) axes_class = kwargs.pop("axes_class", None) if axes_class is None: axes_class = self._defaultAxesClass 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_axe