I am new to python and am currently working with Variables, APis and visualisation.
Currently I am pulling some sensor data from a API in the form of a temperature for a room.
I want to be able to visualise the data that is being pulled, as well as the live time that the samples have been collected at.
I have been able to get to the stage where I have pulled in the live data and the time that the data was collected. This information is then stored in an open variable - one for the time and one for the temperature readings.
I now want to be able to display the variables data in the form of a graph, that will update itself when a new reading has been collected.
I have been able to create and display a singular reading in the graph, but it is only a singular plot, not all the samples that have been collected.
Is there any way in which this could be done?
My code is below - But I have removed the information that is required to connect to the API. Everything works how it should, until the '#Plotting the live data' part is reached.
import matplotlib
import matplotlib.pyplot as plt
import requests
import json
import sched, time
from datetime import datetime
from datetime import date
import csv
from pathlib import Path
import matplotlib
import matplotlib.pyplot as plt
import random
from itertools import count
import pandas as pd
from matplotlib.animation import FuncAnimation
import requests
import json
import sched, time
from datetime import datetime
from datetime import date
from numpy import array
import os
import re
import string
import numpy
#-----------------------------------------------------------------------------------------------------
import urllib3
urllib3.disable_warnings()
import warnings
warnings.filterwarnings("ignore", message="Glyph 13 missing from current font.")
#-----------------------------------------------------------------------------------------------------
#open variables
data =[]
pulltime = []
print("Pulling live data...")
#-----------------------------------------------------------------------------------------------------
#Schedule repeat after 5 seconds
s = sched.scheduler(time.time, time.sleep)
#Pull data
def data_pull(sc):
print('Live reading:')
#Date and time pulled in
now = datetime.now()
today = date.today()
dt_string = now.strftime("%H:%M:%S")
#-----------------------------------------------------------------------------------------------------
#Data request
url = ""
payload={}
headers = {
"Authorization": ""
}
response = requests.request("GET", url, headers=headers, data=payload, verify=False)
#-----------------------------------------------------------------------------------------------------
#Variable appending
#Temperature
data.append(response.json())
#Time of sample
pulltime.append(dt_string)
#Updated Variable
print(pulltime + data)
#------------------------------------------------------------------------------------------------------
#Saving data to file
if not Path("x.csv").is_file():
with open("x.csv", "a", newline = '') as f:
field_names = ['Time', 'R1Temp']
the_writer = csv.DictWriter(f, fieldnames = field_names)
the_writer.writeheader()
with open("x.csv", "a", newline = '') as f:
field_names = ['Time', 'R1Temp']
the_writer = csv.DictWriter(f, fieldnames = field_names)
the_writer.writerow({'Time': dt_string, 'R1Temp': response.text})
print('')
print("Office A: " + dt_string + ' - ' + response.text)
#print("Office A: ", data , ' - ' , pulltime)
#-----------------------------------------------------------------------------------------------------
#plotting the live data
x = []
y = []
d2 = today.strftime("%d/%m/%Y")
# Appending of the axis's
x.append(pulltime)
y.append(data)
# Plotting the line points
plt.plot(x, y, color ="Blue", marker = "o", label = ("R1"))
# Naming x axis
plt.xlabel("Live Time")
plt.ylabel("Temperature °C")
# Title for the graph
plt.title("Live temperature of Rooms in MH")
# Show legend on the plot
plt.legend(loc="upper left")
# Function to show the plot
plt.tight_layout()
plt.show()
#-----------------------------------------------------------------------------------------------------
#repeat after 5 seconds
s.enter(5,1, data_pull, (sc,))
s.enter(5, 1, data_pull, (s,))
s.run()
When the '#Plotting live data' part is included and the code is run, this is the out come;
Pulling live data...
Live reading:
['13:56:35', '13:56:40', 21.0, 20.9]
Office A: 13:56:35 - 20.9
Traceback (most recent call last):
File "C:\Users\gp\Desktop\saving as a variable.py", line 134, in <module>
s.run()
File "C:\Users\gp\AppData\Local\Programs\Python\Python39\lib\sched.py", line 151, in run
action(*argument, **kwargs)
File "C:\Users\gp\Desktop\saving as a variable.py", line 109, in data_pull
plt.plot(x, y, color ="Blue", marker = "o", label = ("R1"))
File "C:\Users\gp\AppData\Local\Programs\Python\Python39\lib\site-packages\matplotlib\pyplot.py", line 2840, in plot
return gca().plot(
File "C:\Users\gp\AppData\Local\Programs\Python\Python39\lib\site-packages\matplotlib\axes\_axes.py", line 1743, in plot
lines = [*self._get_lines(*args, data=data, **kwargs)]
File "C:\Users\gp\AppData\Local\Programs\Python\Python39\lib\site-packages\matplotlib\axes\_base.py", line 273, in __call__
yield from self._plot_args(this, kwargs)
File "C:\Users\gp\AppData\Local\Programs\Python\Python39\lib\site-packages\matplotlib\axes\_base.py", line 394, in _plot_args
self.axes.xaxis.update_units(x)
File "C:\Users\gp\AppData\Local\Programs\Python\Python39\lib\site-packages\matplotlib\axis.py", line 1466, in update_units
default = self.converter.default_units(data, self)
File "C:\Users\gp\AppData\Local\Programs\Python\Python39\lib\site-packages\matplotlib\category.py", line 107, in default_units
axis.set_units(UnitData(data))
File "C:\Users\gp\AppData\Local\Programs\Python\Python39\lib\site-packages\matplotlib\category.py", line 176, in __init__
self.update(data)
File "C:\Users\gp\AppData\Local\Programs\Python\Python39\lib\site-packages\matplotlib\category.py", line 209, in update
for val in OrderedDict.fromkeys(data):
TypeError: unhashable type: 'numpy.ndarray'
