Danny Staple c21ad06c14 Start wtih the same live graph module.
Along with library dependancies.
2022-03-21 18:57:25 +00:00

54 lines
1.5 KiB
Python

""" Turn JSON data stream into graphs"""
import requests
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
url = "http://192.168.1.128"
class AnimatedGraph:
def __init__(self):
self.fields = {}
self.samples = 100
self.reset()
def reset(self):
for field in self.fields:
self.fields[field] = []
def make_frame(self, frame):
try:
response = requests.get(url, timeout=1)
except requests.exceptions.RequestException:
print("Waiting...")
return
print(f"Content: {response.content}")
print(f"status: {response.status_code}")
item = response.json()
if 'time' in self.fields and item["time"] < self.fields['time'][-1]:
self.reset()
for field in item:
if field not in self.fields:
self.fields[field] = []
self.fields[field].append(item[field])
if len(self.fields['time'] ) > self.samples:
for field in self.fields:
self.fields[field] = self.fields[field][-self.samples:]
plt.cla() # clear axes.
# plot the items
for field in self.fields:
if field != "time":
plt.plot("time", field, data=self.fields)
plt.legend(loc="upper right")
# Create the animation. gcf - get current figure. random_stream - callback func.
animation = FuncAnimation(plt.gcf(), AnimatedGraph().make_frame, interval=200)
plt.tight_layout()
plt.show()