import csv
import random
import time
x_value = 0
total_1 = 1000
total_2 = 1000
fieldnames=["x_values","total_1","total_2"]
with open('data.csv','w') as csv_file:
csv_writer=csv.DictWriter(csv_file,fieldnames=fieldnames)
csv_writer.writeheader()
while True:
with open('data.csv','a') as csv_file:
csv_writer=csv.DictWriter(csv_file,fieldnames=fieldnames)
info = {
"x_values":x_value,
"total_1":total_1,
"total_2":total_2
}
csv_writer.writerow(info)
print(x_value,total_1,total_2)
x_value += 1
total_1 = total_1 + random.randint(-6,8)
total_2 = total_2 + random.randint(-5,6)
time.sleep(1)
```
This creates the data
import random
from itertools import count
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
%matplotlib notebook
from IPython import display
plt.style.use('fivethirtyeight')
index=count()
def animate(i):
data=pd.read_csv('data.csv')
x=data['x_value']
y1=data['total_1']
y2=data['total_2']
plt.cla()
plt.plot(x,y1,label='Channel1')
plt.plot(x,y2,label='Channel2')
plt.legend()
anim=FuncAnimation(plt.gcf(),animate,interval=1000)
plt.tight_layout()
plt.show()
This is supposed to display the data, but Jupyter Notebook is not even executing this code
