PyAudioVisualizer/mplot.py at master · jiminj/PyAudioVisualizer · GitHub

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import multiprocessing
from multiprocessing import Lock
import audiostreamer as ast
import matplotlib
import matplotlib.pyplot as plt
import threading
import queue
import customthreads as ct
import collections
import numpy as np


class MPlot(ct.StoppableProcess):
    def __init__(self, xlim, ylim, channel=1, post_process=None, x_range=None,
                 *args, **kwargs):
        super(MPlot, self).__init__(*args, **kwargs)
        self.in_queue = multiprocessing.Queue()
        self.xlim = xlim
        self.ylim = ylim
        self.x_range = x_range
        if(self.x_range is None):
            self.x_range = np.arange(self.xlim[0], self.xlim[1])

        self.lock = Lock()
        self.channel = channel

        self.post_process = post_process
        if(self.post_process is None):
            self.post_process = lambda data: data

    def init_plot(self):
        self.lock.acquire()

        self.fig, self.axarr = plt.subplots(self.channel,
                                            sharex=True,
                                            squeeze=False)
        for i in range(self.channel):
            self.axarr[i, 0].hold(False)
        self.fig.show()

        self.lock.release()

    def run(self):
        self.init_plot()
        while(self.is_stopped() is False):
            try:
                data = self.in_queue.get_nowait()
                split_data = ast.split_channel(data, self.channel)
                p_split_data = [self.post_process(sd) for sd in split_data]

                self.lock.acquire()
                for i in range(self.channel):
                    self.axarr[i, 0].plot(self.x_range, p_split_data[i])
                    self.axarr[i, 0].set_xlim(self.xlim)
                    self.axarr[i, 0].set_ylim(self.ylim)
                self.fig.canvas.draw()
                self.lock.release()

            except queue.Empty:
                pass


class DequeMPlot(MPlot):
    def __init__(self, max_size=44100, redraw_interval=None,
                 *args, **kwargs):
        super(DequeMPlot, self).__init__(*args, **kwargs)
        self.max_deque_size = max_size
        self.deque_list = [collections.deque(maxlen=self.max_deque_size)
                           for i in range(self.channel)]

        for dq in self.deque_list:
            dq.extend([0] * max_size)

        self.redraw_interval = redraw_interval

    def redraw(self):
        self.lock.acquire()
        for i in range(self.channel):
            self.axarr[i, 0].plot(self.x_range, self.deque_list[i])
            self.axarr[i, 0].set_xlim(self.xlim)
            self.axarr[i, 0].set_ylim(self.ylim)
        self.fig.canvas.draw()
        self.lock.release()

    def redraw_with_timer(self):
        self.redraw()
        self.lock.acquire()
        threading.Timer(self.redraw_interval, self.redraw_with_timer).start()
        self.lock.release()

    def run(self):
        self.init_plot()

        if(self.redraw_interval is not None):
            self.redraw_with_timer()

        while(self.is_stopped() is False):
            try:
                data = self.in_queue.get_nowait()
                split_data = ast.split_channel(data, self.channel)
                p_split_data = [self.post_process(sd) for sd in split_data]

                for i in range(self.channel):
                    self.deque_list[i].extend(p_split_data[i])
                if(self.redraw_interval is None):
                    self.redraw()
            except queue.Empty:
                pass


class SpectroMPlot(MPlot):
    def __init__(self, block_size, *args, **kwargs):
        super(SpectroMPlot, self).__init__(*args, **kwargs)
        self.block_size = block_size
        self.arr_list = [np.zeros((len(self.x_range), self.block_size))
                         for i in range(self.channel)]
        self.arr_order = 0
        self.x_range_len = len(self.x_range)

    def redraw(self):
        self.lock.acquire()
        for i in range(self.channel):
            # self.axarr[i, 0].plot(self.x_range, self.arr_list[i])
            self.axarr[i, 0].imshow(np.transpose(self.arr_list[i]),
                                    origin="lower", aspect="auto",
                                    cmap='jet', interpolation="none",
                                    vmin=self.ylim[0], vmax=self.ylim[1])

        self.fig.canvas.draw()
        # self.fig.canvas.update()
        self.lock.release()

    def run(self):
        self.init_plot()
        while(self.is_stopped() is False):
            try:
                data = self.in_queue.get_nowait()
                split_data = ast.split_channel(data, self.channel)
                p_split_data = [self.post_process(sd) for sd in split_data]

                for i in range(self.channel):
                    self.arr_list[i][self.arr_order] = p_split_data[i]

                self.redraw()
                self.arr_order += 1
                if(self.arr_order >= self.x_range_len):
                    self.arr_order = 0

            except queue.Empty:
                pass

    # def redraw(self):