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statistics calculation page using flask #11

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merged 2 commits into from
May 15, 2024
Merged

statistics calculation page using flask #11

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78759fa
flask statistic calc (experimental)
DGrothe-PhD May 15, 2024
a839fab
finished layout
DGrothe-PhD May 15, 2024
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83 changes: 83 additions & 0 deletions Mathematics/Statistikberechnungen/StatisticCalc.py
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#!/usr/bin/python
from flask import Flask, render_template
from flask import request
from flask_table import Table, Col

import ast
import statistics as stats
import numpy as np
from py_markdown_table.markdown_table import markdown_table

# initialization
class QuantileTable(Table):
Name = Col('Name')
Average = Col('Mittelwert')
Minimum = Col('Min')
Quartile1 = Col('Q1')
Median = Col('Median')
Quartile3 = Col('Q3')
Maximum = Col('Max')



# Run app
app = Flask(__name__)

@app.route('/')
def index():
return render_template('index.html')

@app.route('/evalQuart', methods=['GET','POST'])
def evalQuart():
result = ''
if request.method == 'POST':
raw_numbers = request.form['numbers']
numbers = list(ast.literal_eval(raw_numbers.strip("()[]{}")))
name = request.form['name']
result = EvaluateQuantiles(numbers, name)
elif request.method == 'GET':
pass
return render_template('index.html', tableofresults = result)

# Calculus
#example_data = [43.07, 39.23, 44.76, 42.15, 39.98, 40.5, 46.08, 38.62]


def EvaluateQuantiles(data_list, name = ""):
# Sort first
original_data = data_list
data_list.sort()
sorted_data = data_list
print("sorted .... : ", sorted_data)
#
# Calculate quartiles
Q1 = np.percentile(original_data, 25)
Median = np.percentile(original_data, 50)
Q3 = np.percentile(original_data, 75)
Avg = stats.mean(original_data)
#
# Table
results = [
{
"Name": name,
"Average" : Avg,
"Minimum" : sorted_data[0],
"Quartile1" : Q1,
"Median" : Median,
"Quartile3": Q3,
"Maximum" : sorted_data[-1],

}
]

tableofresults = QuantileTable(results)
#tableofresults = markdown_table(results).get_markdown()
return tableofresults

# Example

#EvaluateQuantiles(example_data, "Beispiel")


if __name__ == '__main__':
app.run()
35 changes: 35 additions & 0 deletions Mathematics/Statistikberechnungen/static/styles/mainpage.css
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body{
font-family:Calibri;
font-size: 22px;
}
form, input, button{
font-size: 22px;
}
h1 { font-size: 52px; color: darkseagreen; }

th,td{
text-align:right;
padding:0.5em;
}

th:nth-child(4),td:nth-child(4){
text-align:left;
padding-right:3em;
}
div{
margin-top:12pt;
}
thead{
background-color: darkseagreen;
}

table, th, td{
border: 1px solid gray;
border-collapse: collapse;
}
tr:nth-child(even){
background-color: lavender;
}
td:hover{
background-color: #e7e7e7;
}
23 changes: 23 additions & 0 deletions Mathematics/Statistikberechnungen/templates/index.html
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<!DOCTYPE html>
<html>
<head>
<title>Statistikberechnungen</title>
<link rel= "stylesheet" type= "text/css" href= "{{ url_for('static',filename='styles/mainpage.css') }}">
</head>
<body>
<h1>Median und Quartil</h1>
<p>Aufgabe: Wir haben eine Zahlenreihe und sollen davon den Median und das erste und dritte Quartil berechnen.</p>
<form action='evalQuart' method='post'>
<label>Zahlenreihe eingeben (Dezimalpunkt, mit Komma getrennt)</label>
<input type='text' placeholder = 'Bezeichnung'
value='{{request.form.name}}'
name="name">
<input type='text' placeholder = 'Zahlenreihe'
value='{{request.form.numbers}}'
name="numbers">
<button type='submit'>Berechnen</button>

<div class="table">{{tableofresults}}</div>
</form>
</body>
</html>
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