'dict' object has no attribute 'mean'. Problems using statistics.mean(list with-CodePudding

I am trying something new with flask, Python and the arduino. I want to measure things with the arduino, calculate and save some values through phyton and put it on display through flask.

Right now I can make sure that the arduino receives and gives information and the displaying to a localhost worked. However I want to calculate the average of a list that contain numbers (ints, floats and doubles)

However when I try to use statistics.mean(recorded_humidities) or any other recorded_ list I get hit with a error which is:

app.py, line 63, in greenhouse_dashboard
average_humidity = statistics.mean(recorded_humidities) 
AttributeError: 'dict' object has no attribute 'mean'`

I can make a list in a seperate file, fill in some random numbers and then I can use the statistics.mean(list_name) just fine

I am confused what is happening here and I do not know what I can do or did wrong so I am hoping to find a answer here.

Here is the full code where values get calculated:

import statistics
import sensor

from flask import Flask
from flask import render_template

from datetime import datetime

statistics = {}
recorded_humidities = []
recorded_temperatures = []
recorded_klux = []

minimal_humidites = 0
minimal_temperatures = 0
minimal_klux = 0

max_humidites = 0
max_temperatures = 0
max_klux = 0

average_humidity = 0
average_temperatures = 0
average_klux = 0

def current_time():
    rightNow = datetime.now()
    time = rightNow.strftime("%d %B %Y, %H:%M:%S")
    time = time.lstrip('0')
    time = time.lower()
    day = rightNow.strftime("%A")

    return "It is "   time   " on a "   day   "."

def current_humidity():
    humidity = sensor.humidity 
    return humidity

def current_temperature():
    temperature = sensor.temperature
    return temperature

def current_klux():
    klux = sensor.klux
    return klux

app = Flask(__name__)


@app.route('/')
def greenhouse_dashboard():
    recorded_humidities.append(current_humidity())
    recorded_temperatures.append(current_temperature())
    recorded_klux.append(current_klux())

#current values
#statistics["current_time"] = current_time()
#statistics["current_klux"] = current_klux()
#statistics["current_temperature"] = current_temperature()
#statistics["current_humidity"] = current_humidity()

#average values
average_humidity = statistics.mean(recorded_humidities) #fake value
average_temperatures = 2 #goes wrong
average_klux = 3 #goes wrong

#max values
max_humidites = max(recorded_humidities)
max_temperatures = max(recorded_temperatures)
max_klux = max(recorded_klux)

#min values
minimal_humidites = min(recorded_humidities)
minimal_temperatures = min(recorded_temperatures)
minimal_klux = min(recorded_klux)

return render_template('general.html',
                        time = current_time(),
                        humidity = current_humidity(),
                        temperature = current_temperature(),
                        klux = current_klux(),
                        average_klux = average_klux,
                        average_temperature = average_temperatures,
                        average_humidity = average_humidity,
                        min_klux = minimal_klux,
                        min_temperature = minimal_temperatures,
                        min_humidity = minimal_humidites,
                        max_klux = max_klux,
                        max_temperature = max_temperatures,
                        max_humidity = max_humidites)

I barely use stackoverflow but I want to use it more. if I should do certain things because it is handy or I made a mistake in giving information or setting up this question then please tell me so since I do want to use this correctly and want to help other in the end as well.

thank you in advance.

CodePudding user response：

You need to either rename the statistics dictionary, or alias the statistics module import.

Solution One - Rename the statistics dict:

# statistics = {}
statistics_dict = {}

Solution Two - Alias the statistics module (not recommended):

# import statistics
import statistics as stats