ACMAnimate_extend_RT.py

from pylab import subplots, mpl, plt, np
import pandas as pd
import time as time_package
def get_data(fname):
    try:
        data = pd.read_csv(fname) #, skiprows=2, nrows=7) # na_values = ['no info', '.', '']
    except pd.errors.EmptyDataError as error:
        # print(str(error))
        # time_package.sleep(1)
        raise error
    keys = data.keys()
    return data, keys
fname = './algorithm.dat'
data, keys = get_data(fname)


fig, ax_list = plt.subplots(5, sharex=True, figsize=(16*0.8, 9*0.8), dpi=80, facecolor='w', edgecolor='k', constrained_layout=False)

SAMP_TS = 10/4000.000000 # TS=1/8000, down_exe=2, down-sampling 10: SAMP_TS=1/400
n = number_points_draw_at_once = 100 # plot n points at a time
POST_TS = SAMP_TS * n

time = [0.0]
for key in keys:
    exec(f'{key} = [0.0]')
_index = 0
def animate(_):
    global data, keys, _index
    if not bool_animate_pause:
        if _index > 0:
            time.extend(time[-1] + _index*np.arange(1/n, 1+0.5/n, 1/n) * SAMP_TS)
            for idx, ax in enumerate(ax_list):
                ax.cla()
                exec(f'{keys[idx]}.extend(data[keys[idx]][(_index-1)*n:_index*n])')
                try:
                    ax.plot(time, eval(f'{keys[idx]}'))
                except ValueError as error:
                    # print(str(error))
                    data_backup = data
                    data, keys = get_data(fname)
                    print('Read data.')
                    if len(data[keys[0]]) == len(data_backup[keys[0]]):
                        print('Plotting data are exausted. Quit now.')
                        _index = -1
                        break
                else:
                    ax.set_ylabel(keys[idx])
            ax_list[-1].set_xlabel('Time [s]')
        if _index == -1:
            raise KeyboardInterrupt
        _index += 1

def onClick(event):
    global bool_animate_pause
    bool_animate_pause ^= True

import matplotlib.animation as animation
bool_animate_pause = False
ani = animation.FuncAnimation(fig, animate, blit=False, interval=10, repeat=True)
fig.canvas.mpl_connect('button_press_event', onClick)
time_package.sleep(0.5)
print('Animate starts...')
plt.show()