Python matplotlib.pylab.pause() Examples

The following are 4 code examples of matplotlib.pylab.pause(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module matplotlib.pylab , or try the search function .
Example #1
Source File: usage_example.py    From tensorflow-ffmpeg with MIT License 6 votes vote down vote up 
def _show_video(video, fps=10):
    # Import matplotlib/pylab only if needed
    import matplotlib
    matplotlib.use('TkAgg')
    import matplotlib.pylab as pl
    pl.style.use('ggplot')
    pl.axis('off')

    if fps < 0:
        fps = 25
    video /= 255.  # Pylab works in [0, 1] range
    img = None
    pause_length = 1. / fps
    try:
        for f in range(video.shape[0]):
            im = video[f, :, :, :]
            if img is None:
                img = pl.imshow(im)
            else:
                img.set_data(im)
            pl.pause(pause_length)
            pl.draw()
    except:
        pass
Example #2
Source File: test_fields_fdtd.py    From ceviche with MIT License 6 votes vote down vote up 
def test_fields_E(self):

        F = fdtd(self.eps_r, dL=self.dL, npml=self.pml)

        fig, ax = plt.subplots(figsize=(10, 10))
        im = ax.pcolormesh(np.zeros((self.Nx, self.Ny)), cmap='RdBu')

        for t_index in range(self.steps):

            fields = F.forward(Jz=self.gaussian(t_index))

            if t_index % self.skip_rate == 0:

                max_E = np.abs(fields['Ez']).max()
                im.set_array(fields['Ez'][:, :, 0].ravel())
                im.set_clim([-1, 1])
                plt.pause(0.001)
                ax.set_title('time = {}'.format(t_index))
Example #3
Source File: test_fields_fdtd.py    From ceviche with MIT License 6 votes vote down vote up 
def test_fields_H(self):

        F = fdtd(self.eps_r, dL=self.dL, npml=self.pml)

        fig, ax = plt.subplots(figsize=(10, 10))
        im = ax.pcolormesh(np.zeros((self.Nx, self.Ny)), cmap='RdBu')

        for t_index in range(self.steps):

            fields = F.forward(Jx=self.gaussian(t_index))

            if t_index % self.skip_rate == 0:

                max_E = np.abs(fields['Hz']).max()
                im.set_array(fields['Hz'][:, :, 0].ravel())
                im.set_clim([-1, 1])
                plt.pause(0.001)
                ax.set_title('time = {}'.format(t_index))
Example #4
Source File: show_leaned_filters.py    From nnabla-examples with Apache License 2.0 5 votes vote down vote up 
def show():
    args = get_args()

    # Load model
    nn.load_parameters(args.model_load_path)
    params = nn.get_parameters()

    # Show heatmap
    for name, param in params.items():
        # SSL only on convolution weights
        if "conv/W" not in name:
            continue
        print(name)
        n, m, k0, k1 = param.d.shape
        w_matrix = param.d.reshape((n, m * k0 * k1))
        # Filter x Channel heatmap

        fig, ax = plt.subplots()
        ax.set_title("{} with shape {} \n Filter x (Channel x Heigh x Width)".format(
            name, (n, m, k0, k1)))
        heatmap = ax.pcolor(w_matrix)
        fig.colorbar(heatmap)

        plt.pause(0.5)
        raw_input("Press Key")
        plt.close()