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Plotting live data - matplotlib series

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	`1`	`+import csv`
	`2`	`+import random`
	`3`	`+import time`
	`4`	`+`
	`5`	`+x_val = 0`
	`6`	`+total_1 = 1000`
	`7`	`+total_2 = 1000`
	`8`	`+`
	`9`	`+field_names = ['x_val', 'total_1', 'total_2']`
	`10`	`+`
	`11`	`+with open('data.csv', 'w') as csv_file:`
	`12`	`+ csv_writer = csv.DictWriter(csv_file, fieldnames=field_names)`
	`13`	`+ csv_writer.writeheader()`
	`14`	`+`
	`15`	`+while True:`
	`16`	`+ with open('data.csv', 'a') as csv_file:`
	`17`	`+ csv_writer = csv.DictWriter(csv_file, fieldnames=field_names)`
	`18`	`+`
	`19`	`+ info = {`
	`20`	`+ "x_val": x_val,`
	`21`	`+ "total_1": total_1,`
	`22`	`+ "total_2": total_2`
	`23`	`+ }`
	`24`	`+`
	`25`	`+ csv_writer.writerow(info)`
	`26`	`+ print(x_val, total_1, total_2)`
	`27`	`+`
	`28`	`+ x_val += 1`
	`29`	`+ total_1 = total_1 + random.randint(-6, 8)`
	`30`	`+ total_2 = total_2 + random.randint(-5, 6)`
	`31`	`+`
	`32`	`+ time.sleep(1)`

Lines changed: 33 additions & 0 deletions

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	`1`	`+import random`
	`2`	`+from itertools import count`
	`3`	`+import pandas as pd`
	`4`	`+import matplotlib.pyplot as plt`
	`5`	`+from matplotlib.animation import FuncAnimation`
	`6`	`+`
	`7`	`+plt.style.use('fivethirtyeight')`
	`8`	`+`
	`9`	`+x_vals = []`
	`10`	`+y_vals = []`
	`11`	`+`
	`12`	`+index = count()`
	`13`	`+`
	`14`	`+`
	`15`	`+def animate(i):`
	`16`	`+ data = pd.read_csv('data.csv')`
	`17`	`+ x = data['x_val']`
	`18`	`+ y1 = data['total_1']`
	`19`	`+ y2 = data['total_2']`
	`20`	`+`
	`21`	`+ plt.cla()`
	`22`	`+`
	`23`	`+ plt.plot(x, y1, label='Channel 1')`
	`24`	`+ plt.plot(x, y2, label='Channel 2')`
	`25`	`+`
	`26`	`+ plt.legend(loc='upper left')`
	`27`	`+ plt.tight_layout()`
	`28`	`+`
	`29`	`+`
	`30`	`+ani = FuncAnimation(plt.gcf(), animate, interval=1000)`
	`31`	`+`
	`32`	`+plt.tight_layout()`
	`33`	`+plt.show()`

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