Time-scrolling interface in matplotlib I've create a simple interface for viewing a time-series as it changes over time in matplotlib. You can pause, reset or click/drag on the time-line to change the view. Have I used the matplotlib API as effectively as possible?

import numpy as np
from collections import deque

import matplotlib.pyplot as plt
import matplotlib.animation as animation
from matplotlib.widgets import Button, Slider


class AnalogPlot:

    def __init__(self, data, display_len):
        self.buff = deque(np.zeros(display_len))
        self.display_len = display_len
        self.data = data

        # set up the plot
        self.fig = plt.figure()
        self.ax = self.fig.add_subplot(111, xlim=(0, t_max), ylim=(-1, 1))
        self.ax.set_xticks((0, t_max))
        self.lines = self.ax.plot([], [])

        # setup the animation
        self.cur_frame = 0
        self.anim = animation.FuncAnimation(self.fig, self._update,
                                            interval=1.0)

        # setup the animation control
        self.anim_running = True

    def _add_to_buff(self, buf, val):
        if len(buf) &lt; self.display_len:
            buf.appendLeft(val)
        else:
            buf.popleft()
            buf.append(val)

    def _update(self, frame):
        frame = self.cur_frame
        self._add_to_buff(self.buff, self.data[frame:frame+1])
        self.lines[0].set_data(range(self.display_len), self.buff)

        self.ax.set_xticklabels((str(frame), str(frame+self.display_len)))

        self.time_slider.eventson = False
        self.time_slider.set_val(frame)
        self.time_slider.eventson = True

        self.cur_frame += 1

        return self.lines

    def _pause(self, event):
        if self.anim_running:
            self.anim.event_source.stop()
            self.anim_running = False
        else:
            self.anim.event_source.start()
            self.anim_running = True

    def _reset(self, event):
        self._set_val(0)

    def _set_val(self, frame=0):
        frame = int(frame)
        self.cur_frame = frame
        new_start = frame - self.display_len
        if new_start &gt;= 0:
            self.buff = deque(self.data[new_start:frame])
        else:
            self.buff = deque(np.concatenate((np.zeros(np.abs(new_start)),
                                              self.data[:frame])))

        self.anim.event_source.stop()
        self.anim = animation.FuncAnimation(self.fig, self._update,
                                            interval=1.0)
        self.anim_running = True

    def animate(self):
        pause_ax = self.fig.add_axes((0.7, 0.025, 0.1, 0.04))
        pause_button = Button(pause_ax, 'pause', hovercolor='0.975')
        pause_button.on_clicked(self._pause)

        reset_ax = self.fig.add_axes((0.8, 0.025, 0.1, 0.04))
        reset_button = Button(reset_ax, 'reset', hovercolor='0.975')
        reset_button.on_clicked(self._reset)

        slider_ax = self.fig.add_axes((0.1, 0.025, 0.5, 0.04))
        self.time_slider = Slider(slider_ax, label='Time',
                                  valmin=0, valmax=self.data.shape[0],
                                  valinit=0.0)

        self.time_slider.on_changed(self._set_val)

        plt.show()


t_max = 100
lin_sig = np.linspace(0, 1, 1000)
analog_plot = AnalogPlot(lin_sig, t_max)
analog_plot.animate()
Looks good to me.

Ship it.

(Consider using flake8, and burying the last four lines within if __name__ == '__main__':.)