多个滑块的离散滑块,python [英] Discrete sliders for multiple sliders, python

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问题描述

在这里解决了创建单个离散滑块的问题.

The problem of creating a single discrete slider has been solved here.

Can I make matplotlib sliders more discrete?

I would like to be able to create multiple discrete-sliders.

In the python slider_demo pages, (http://matplotlib.org/examples/widgets/slider_demo.html), multiple sliders are accessed through slider_name.value, where value is the attribute taken by the update function. In the discrete slider construction, one cannot call slider_name.value, as the discrete slider has no attribute 'value'. Calling slider_name.set_val(value) would cause an infinite recursion problem.

Does anyone know how to create multiple discrete sliders from the construction linked? Many thanks in advance.

解决方案

Based on my answer on this question one can use multiple PageSliders. They do not change the basic principle of the original Slider, such that .val and set_val are still available.

import matplotlib.widgets
import matplotlib.patches
import mpl_toolkits.axes_grid1

class PageSlider(matplotlib.widgets.Slider):

    def __init__(self, ax, label, numpages = 10, valinit=0, valfmt='%1d', 
                 closedmin=True, closedmax=True,  
                 dragging=True, **kwargs):

        self.facecolor=kwargs.get('facecolor',"w")
        self.activecolor = kwargs.pop('activecolor',"b")
        self.fontsize = kwargs.pop('fontsize', 10)
        self.numpages = numpages

        super(PageSlider, self).__init__(ax, label, 0, numpages, 
                            valinit=valinit, valfmt=valfmt, **kwargs)

        self.poly.set_visible(False)
        self.vline.set_visible(False)
        self.pageRects = []
        for i in range(numpages):
            facecolor = self.activecolor if i==valinit else self.facecolor
            r  = matplotlib.patches.Rectangle((float(i)/numpages, 0), 1./numpages, 1, 
                                transform=ax.transAxes, facecolor=facecolor)
            ax.add_artist(r)
            self.pageRects.append(r)
            ax.text(float(i)/numpages+0.5/numpages, 0.5, str(i+1),  
                    ha="center", va="center", transform=ax.transAxes,
                    fontsize=self.fontsize)
        self.valtext.set_visible(False)

        divider = mpl_toolkits.axes_grid1.make_axes_locatable(ax)
        bax = divider.append_axes("right", size="5%", pad=0.05)
        fax = divider.append_axes("right", size="5%", pad=0.05)
        self.button_back = matplotlib.widgets.Button(bax, label=ur'$\u25C0$', 
                        color=self.facecolor, hovercolor=self.activecolor)
        self.button_forward = matplotlib.widgets.Button(fax, label=ur'$\u25B6$', 
                        color=self.facecolor, hovercolor=self.activecolor)
        self.button_back.label.set_fontsize(self.fontsize)
        self.button_forward.label.set_fontsize(self.fontsize)
        self.button_back.on_clicked(self.backward)
        self.button_forward.on_clicked(self.forward)

    def _update(self, event):
        super(PageSlider, self)._update(event)
        i = int(self.val)
        if i >=self.valmax:
            return
        self._colorize(i)

    def _colorize(self, i):
        for j in range(self.numpages):
            self.pageRects[j].set_facecolor(self.facecolor)
        self.pageRects[i].set_facecolor(self.activecolor)

    def forward(self, event):
        current_i = int(self.val)
        i = current_i+1
        if (i < self.valmin) or (i >= self.valmax):
            return
        self.set_val(i)
        self._colorize(i)

    def backward(self, event):
        current_i = int(self.val)
        i = current_i-1
        if (i < self.valmin) or (i >= self.valmax):
            return
        self.set_val(i)
        self._colorize(i)


if __name__ == "__main__":
    import numpy as np
    from matplotlib import pyplot as plt


    num_pages = 15
    data = np.random.rand(9, 9, num_pages)

    fig, ax = plt.subplots()
    fig.subplots_adjust(bottom=0.22)

    im = ax.imshow(data[:, :, 0], cmap='viridis', interpolation='nearest', origin="lower")

    ax_slider = fig.add_axes([0.1, 0.07, 0.8, 0.04])
    ax_slider2 = fig.add_axes([0.1, 0.02, 0.8, 0.04])
    slider = PageSlider(ax_slider, 'Page', num_pages, activecolor="orange")
    slider2 = PageSlider(ax_slider2, 'Size', data.shape[0], valinit=8, activecolor="yellow")

    def update(val):
        i = int(slider.val)
        j = int(slider2.val)
        im.set_data(data[:j+1,:j+1,i])
        im.set_extent([-0.5,j+0.5,-0.5,j+0.5])
        fig.canvas.draw()


    slider.on_changed(update)
    slider2.on_changed(update)

    plt.show() 

这篇关于多个滑块的离散滑块,python的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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