matplotlib-python-/live-data.py at master · mderum/matplotlib-python- · GitHub

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# run 1 followed by other

#script 1

import pandas as pd

x_value=0
chan1=1000
chan2=1000

fieldnames=['x_value','chan1','chan2']


with open('D:/projects/env_site/realtime-data.csv','w') as csv_file:
    csv_writer=csv.DictWriter(csv_file,fieldnames=fieldnames)
    csv_writer.writeheader()

while True:

    with open('D:/projects/env_site/realtime-data.csv','a') as csv_file:
        csv_writer=csv.DictWriter(csv_file,fieldnames=fieldnames)

        info={

            'x_value':x_value,
            'chan1':chan1,
            'chan2':chan2
        }


        csv_writer.writerow(info)
        x_value+=1
        chan1=chan1+ random.randint(-6,8)
        chan2=chan2+ random.randint(-4,7)

    time.sleep(0.2)


    #scipt 2

from itertools import count
import pandas as pd
from matplotlib import pyplot as plt

from matplotlib.animation import FuncAnimation


x=[]
y=[]

index=count()


def animate(i):
    data=pd.read_csv('realtime-data.csv')

    x=data['x_value']
    y=data['chan1']
    z=data['chan2']

    plt.cla()
    plt.plot(x,y)
    plt.plot(x,z)


ani=FuncAnimation(plt.gcf(),animate,interval=1000)

plt.show()