Python ColorbarBase.set_ticks方法代码示例

# 需要导入模块: from matplotlib.colorbar import ColorbarBase [as 别名]
# 或者: from matplotlib.colorbar.ColorbarBase import set_ticks [as 别名]
def pic_switch(event):
    bounds = roi1.export()
    if zoom.value_selected == 'Zoom':
        axpic.cla()

        axpic.imshow(start.pic_list[int(pic_swap.val)], vmin=vmin.val, vmax=vmax.val, cmap=gray.value_selected)
        axpic.set_title(start.file_list[int(pic_swap.val)])
        axpic.set_xlim(bounds[2], bounds[3])
        axpic.set_ylim(bounds[1], bounds[0])
        axpic.axvline(x=bounds[2])
        axpic.axvline(x=bounds[3])
        axpic.axhline(y=bounds[0])
        axpic.axhline(y=bounds[1])
        axbar.cla()
        norm = Normalize(vmin=vmin.val, vmax=vmax.val)
        col = ColorbarBase(axbar, cmap=gray.value_selected, norm=norm, orientation='horizontal')
        col.set_ticks([vmin.val, vmax.val], update_ticks=True)
    else:
        axpic.cla()
        axpic.imshow(start.pic_list[int(pic_swap.val)], vmin=vmin.val, vmax=vmax.val, cmap=gray.value_selected)
        axpic.set_title(start.file_list[int(pic_swap.val)])
        axpic.axvline(x=bounds[2])
        axpic.axvline(x=bounds[3])
        axpic.axhline(y=bounds[0])
        axpic.axhline(y=bounds[1])
        axbar.cla()
        norm = Normalize(vmin=vmin.val, vmax=vmax.val)
        col = ColorbarBase(axbar, cmap=gray.value_selected, norm=norm, orientation='horizontal')
        col.set_ticks([vmin.val, vmax.val], update_ticks=True)

# 需要导入模块: from matplotlib.colorbar import ColorbarBase [as 别名]
# 或者: from matplotlib.colorbar.ColorbarBase import set_ticks [as 别名]
def spikesplot_cb(position, cmap='viridis', fig=None):
    # Add colorbar
    if fig is None:
        fig = plt.gcf()

    cax = fig.add_axes(position)
    cb = ColorbarBase(cax, cmap=get_cmap(cmap), spacing='proportional',
                      orientation='horizontal', drawedges=False)
    cb.set_ticks([0, 0.5, 1.0])
    cb.set_ticklabels(['Inferior', '(axial slice)', 'Superior'])
    cb.outline.set_linewidth(0)
    cb.ax.xaxis.set_tick_params(width=0)
    return cax

# 需要导入模块: from matplotlib.colorbar import ColorbarBase [as 别名]
# 或者: from matplotlib.colorbar.ColorbarBase import set_ticks [as 别名]
    def display_median_price_animation(self):
        """Kicks off the animation of median price information."""
        fig = plotter.figure(num = 1, figsize = (10, 12), tight_layout = True)
        fig.canvas.set_window_title('Percent increase in median house ' + \
                                    'price since 1996')

        axis = fig.add_axes([0.85, 0.04, 0.03, 0.92])
        colorbar_ticks = [0, .2, .4, .6, .8, 1.0]
        colorbar_labels = ['-100%', '0%', '250%', '500%', '750%', '>1000%']
        colorbar = ColorbarBase(axis, self._colormap, orientation='vertical')
        colorbar.set_ticks(colorbar_ticks)
        colorbar.set_ticklabels(colorbar_labels)

        fig.add_axes([0.0, 0.0, 0.82, 1.0])
        anim = FuncAnimation(fig,
                             self._animate,
                             frames = self.endyear + 1 - self.startyear,
                             interval = 1000,
                             blit = True,
                             init_func = self._init_animate,
                             repeat_delay = 3000)
        plotter.show()

# 需要导入模块: from matplotlib.colorbar import ColorbarBase [as 别名]
# 或者: from matplotlib.colorbar.ColorbarBase import set_ticks [as 别名]
def create_multipanel_plot(size, dpi, shape, layout, var_info, cmap, lims):
        fig = plt.figure(figsize=size, dpi=dpi)
        rings = []

        # the rect parameter will be ignore as we will set axes_locator
        rect = (0.08, 0.08, 0.9, 0.9)
        nrow,ncol = shape

        # divide the axes rectangle into grid whose size is specified
        # by horiz * vert
        horiz = [Scaled(1.)]
        for i in range(ncol - 1):
            horiz.extend([Fixed(.2), Scaled(1.)])

        vert = [Scaled(.1), Fixed(.35), Scaled(1.)]
        for i in range(nrow - 1):
            vert.extend([Fixed(.1), Scaled(1.)])

        divider = Divider(fig, rect, horiz, vert, aspect=False)

#        ax0 = fig.add_axes(rect, label="0")
#        ax0.set_aspect('equal', 'datalim')
#        ax = [ax0] + [fig.add_axes(rect, label="%d"%i, sharex=ax0, sharey=ax0)
#            for i in range(1,6)]
        ax = [fig.add_axes(rect, label="%d"%i) for i in range(len(layout))]
        cax = [fig.add_axes(rect, label='cb%d'%i) for i in range(ncol)]

        for i,a in enumerate(ax):
#            a.set_axes_locator(divider.new_locator(nx=(i // nrow) * 2,
#                ny=((i%nrow) + 1) * 2))
            a.set_axes_locator(divider.new_locator(nx=(i % ncol) * 2,
                ny=(nrow - (i // ncol)) * 2))
            a.set_aspect('equal', 'datalim')

        for i,a in enumerate(cax):
            a.set_axes_locator(divider.new_locator(nx=2 * i, ny=0))

        for num,(a,(data, label, var)) in enumerate(zip(ax, layout)):
            norm,ticks,units = var_info[var]
            ppi_plot(init_data.xlocs, init_data.ylocs, data, norm=norm,
                cmap=cmap, ax=a, rings=rings)
#            a.set_title('%s (%s)' % (moment, units))

            if num >= ncol:
                a.set_xlabel('X Distance (km)')
                cbar = ColorbarBase(ax=cax[num%ncol], norm=norm, cmap=cmap,
                    orientation='horizontal')
                cbar.set_label('%s (%s)' % (label, units))
                cbar.set_ticks(ticks)
            else:
                a.xaxis.set_major_formatter(plt.NullFormatter())

            if num % ncol == 0:
                a.set_ylabel('Y Distance (km)')
            else:
                a.yaxis.set_major_formatter(plt.NullFormatter())

            if lims:
                a.xaxis.set_major_locator(plt.MultipleLocator(lims[0]))
                a.yaxis.set_major_locator(plt.MultipleLocator(lims[0]))
                a.set_xlim(*lims[1:3])
                a.set_ylim(*lims[3:])

            # loc = 2 is upper left. TODO: Should patch matplotlib to use
            # same strings as legend
            at = AnchoredText("%s)" % chr(97 + num), loc=2, prop=dict(size='large'),
                frameon=True)
#            at.patch.set_boxstyle("round, pad=0., rounding_size=0.2")
            a.add_artist(at)

        return fig