Read-Sensor-Resistances/serial_plot.py

import matplotlib.pyplot as plt
import matplotlib.animation as animate
import math, json, traceback

try:
    import matplotlib

    matplotlib.use("WXAgg")  # to force use one of the matplot's UI backend instead of an IDE's choice
except ImportError:
    traceback.print_exc()


def plotter():
    a = json.load(open('settings.json', 'r'))
    sensors = len(a['sensor_ports'])
    windowsize = a['winSize']
    delay = a["delay"] / 1000
    file = open(a["file_name"], "r")

    colors = ['blue', 'orange', 'green', 'yellow']

    fig, axs = plt.subplots(1, 1)

    timeStamps = []
    sensorsData = []

    i = 0
    while i <= sensors:
        sensorsData.append([])
        i = i + 1

    def animation(t):
        next_line = file.readline()
        if next_line:
            line = next_line.split(',')
            if len(line) >= sensors:
                i = 1
                timeStamps.append(line[0])
                # get rid of the zeroth value if it exceeds pre-defined window size
                if windowsize != 0 and len(timeStamps) > windowsize:
                    timeStamps.pop(0)
                val_lists = []
                while i <= sensors:
                    if not line[i]:  # pass on invalid values
                        continue
                    sensorsData[i - 1].append(float(line[i]))  # cast it to float so the y-axis will not jump around
                    # get rid of the zeroth value if it exceeds pre-defined window size
                    if windowsize != 0 and len(sensorsData[i - 1]) > windowsize:
                        sensorsData[i - 1].pop(0)
                    val_lists.append(sensorsData[i - 1])
                    i += 1
                for j in range(len(val_lists)):
                    axs.plot(timeStamps, val_lists[j], color=colors[j],
                             label=f'sensor {j + 1}')  # TODO: display sensor number to the actual arduino's port &
                    # axs.annotate('%0.2f' % val_lists[j][-1], xy=(1, val_lists[j][-1]), xytext=(8, 0),
                    #              xycoords=('axes fraction', 'data'), textcoords='offset points')

                # Acknowledgement: https://stackoverflow.com/a/13589144
                handles, labels = plt.gca().get_legend_handles_labels()
                by_label = dict(zip(labels, handles))
                axs.legend(by_label.values(), by_label.keys(), loc='best')
                print(by_label.items())

    return animate.FuncAnimation(plt.gcf(), func=animation)  # , interval=delay * 500)
    # ani.save("plot.gif")
    # plt.ion()
    # plt.show(block=True)

# plotter()