123 lines
6.0 KiB
Python
123 lines
6.0 KiB
Python
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import matplotlib.pyplot as plt
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import matplotlib.animation as animation
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from matplotlib import style
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from os.path import exists
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import os
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import time
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limit_points = 0 # TODO: Fix markers not following when points are limited.
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pop = 0
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marked = []
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index = 0
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def graph(file, event):
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event.wait()
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style.use('seaborn-v0_8')
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fig, ax = plt.subplots(3, 4, figsize=(19, 11))
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ax = ax.flatten()
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figManager = plt.get_current_fig_manager()
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figManager.window.showMaximized()
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plt.tight_layout()
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def animate(i):
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global limit_points, pop, marked, index
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graph_data = open(file,'r').read()
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lines = graph_data.split('\n')
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xs = []
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y_strength = []
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y_attention = []
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y_meditation = []
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y_delta = []
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y_theta = []
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y_low_alpha = []
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y_high_alpha = []
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y_low_beta = []
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y_high_beta = []
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y_low_gamma = []
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y_high_gamma = []
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for line in lines:
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if len(line) > 1:
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index, strength, attention, meditation, delta, theta, low_alpha, high_alpha, low_beta, high_beta, low_gamma, high_gamma = line.split(",")
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y_strength.append(float(strength))
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y_attention.append(float(attention))
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y_meditation.append(float(meditation))
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y_delta.append(float(delta))
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y_theta.append(float(theta))
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y_low_alpha.append(float(low_alpha))
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y_high_alpha.append(float(high_alpha))
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y_low_beta.append(float(low_beta))
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y_high_beta.append(float(high_beta))
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y_low_gamma.append(float(low_gamma))
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y_high_gamma.append(float(high_gamma))
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xs.append(float(index))
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#for i in range(1,12):
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#eval("ax"+str(i)+".clear()")
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#ax.clear()
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if limit_points > 0:
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if int(index) > limit_points:
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pop = 0
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for i in range(int(index)-limit_points):
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if len(xs) != 0:
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xs.pop(0)
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y_strength.pop(0)
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y_attention.pop(0)
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y_meditation.pop(0)
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y_delta.pop(0)
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y_theta.pop(0)
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y_low_alpha.pop(0)
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y_high_alpha.pop(0)
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y_low_beta.pop(0)
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y_high_beta.pop(0)
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y_low_gamma.pop(0)
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y_high_gamma.pop(0)
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pop += 1
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if len(marked) != 0:
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for i in range(len(marked)):
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marked[i] = marked[i] - 1
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if marked[0] == 0:
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marked.pop(0)
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file_exists = exists("./mark")
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if file_exists:
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print("Marking " + str(xs[len(xs) - 1])) #Mark in CSV file?
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marked.append(int(xs[len(xs) - 1]-pop))
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print("Marked: " + str(marked) + " Pop: " + str(pop))
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pop = 0
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os.remove("./mark")
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for i in range(12):
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ax[i].clear()
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if len(y_strength) == 0: #If the CSV restarts
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print("Clearing marked")
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marked = []
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ax[0].plot(xs, y_strength, color="b", markevery=marked, marker="D", markerfacecolor="black")
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ax[0].plot(xs, y_attention, color="g", markevery=marked, marker="D", markerfacecolor="black")
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ax[0].plot(xs, y_meditation, color="r", markevery=marked, marker="D", markerfacecolor="black")
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ax[0].plot(xs, y_delta, color="c", markevery=marked, marker="D", markerfacecolor="black")
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ax[0].plot(xs, y_theta, color="m", markevery=marked, marker="D", markerfacecolor="black")
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ax[0].plot(xs, y_low_alpha, color="y", markevery=marked, marker="D", markerfacecolor="black")
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ax[0].plot(xs, y_high_alpha, color="k", markevery=marked, marker="D", markerfacecolor="white")
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ax[0].plot(xs, y_low_beta, color="b", markevery=marked, marker="D", markerfacecolor="black")
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ax[0].plot(xs, y_high_beta, color="g", markevery=marked, marker="D", markerfacecolor="black")
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ax[0].plot(xs, y_low_gamma, color="r", markevery=marked, marker="D", markerfacecolor="black")
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ax[0].plot(xs, y_high_gamma, color="c", markevery=marked, marker="D", markerfacecolor="black")
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if len(y_strength) > 0:
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if int(y_strength[len(y_strength)-1]) != 0:
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ax[1].plot(xs, y_strength, label="strength", color="r", markevery=marked, marker="D", markerfacecolor="black")
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else:
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ax[1].plot(xs, y_strength, label="strength", color="b", markevery=marked, marker="D", markerfacecolor="black")
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ax[2].plot(xs, y_attention, label="attention", color="g", markevery=marked, marker="D", markerfacecolor="black")
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ax[3].plot(xs, y_meditation, label="meditation", color="r", markevery=marked, marker="D", markerfacecolor="black")
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ax[4].plot(xs, y_delta, label="delta", color="c", markevery=marked, marker="D", markerfacecolor="black")
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ax[5].plot(xs, y_theta, label="theta", color="m", markevery=marked, marker="D", markerfacecolor="black")
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ax[6].plot(xs, y_low_alpha, label="low_alpha", color="y", markevery=marked, marker="D", markerfacecolor="black")
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ax[7].plot(xs, y_high_alpha, label="high_alpha", color="k", markevery=marked, marker="D", markerfacecolor="white")
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ax[8].plot(xs, y_low_beta, label="low_beta", color="b", markevery=marked, marker="D", markerfacecolor="black")
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ax[9].plot(xs, y_high_beta, label="high_beta", color="g", markevery=marked, marker="D", markerfacecolor="black")
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ax[10].plot(xs, y_low_gamma, label="low_gamma", color="r", markevery=marked, marker="D", markerfacecolor="black")
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ax[11].plot(xs, y_high_gamma, label="high_gamma", color="c", markevery=marked, marker="D", markerfacecolor="black")
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for i in range(12):
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ax[i].legend()
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print("animate_graph: Starting animation")
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ani = animation.FuncAnimation(fig, animate, interval=500)
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plt.show()
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