MAI/LabWork01/LoadDB.py

from flask import Flask, redirect, url_for, request, render_template
from LabWork01.FuncLoad import createDataFrame

app = Flask(__name__)

#сразу загружаем весь док, чтобы потом просто прыгать по нему
listShops = createDataFrame()

#список типов данных по столбцам
listTypes = listShops.dtypes.to_list()

#формируем записи о кол-ве пустых ячеек в каждом столбце
countNull = listShops.isnull().sum()

@app.route("/")
def home():
    return render_template('main_page.html', context=[], listTypes=listTypes, countNull=countNull, firstRow=1, secondRow=4, firstColumn=1, secondColumn=4)

@app.route("/showDiapason", methods=['GET','POST'])
def numtext():
    data = request.args

    #получаем срез и таблицы по введёным параметрам
    newListShops = listShops.iloc[int(data['firstRow'])-1:int(data['secondRow']), int(data['firstColumn']):int(data['secondColumn'])+1]

    _range = range(int(data['firstColumn']), int(data['secondColumn'])+1)

    #список списков для шаблона
    totalList = []

    print(countNull[1])

    #формирование 4-х списков для шаблонизатора
    if 1 in _range:
        listStoreArea = newListShops['Store_Area'].to_list()

        totalList.append(listStoreArea)

    if 2 in _range:
        listItemsAvailable = newListShops['Items_Available'].to_list()

        totalList.append(listItemsAvailable)

    if 3 in _range:
        listDailyCustomerCount = newListShops['Daily_Customer_Count'].to_list()

        totalList.append(listDailyCustomerCount)

    if 4 in _range:
        listStoreSales = newListShops['Store_Sales'].to_list()

        totalList.append(listStoreSales)

    if int(data['firstRow']) and int(data['secondRow']) and int(data['firstColumn']) and int(data['secondColumn']):
        return render_template('main_page.html', context=totalList, listTypes=listTypes, countNull=countNull,
                               firstColumn=int(data['firstColumn']), secondColumn=int(data['secondColumn']),
                               firstRow=int(data['firstRow']), secondRow=int(data['secondRow']))

    return home()

#функция для проведения анализа данных
@app.route("/analysis", methods=['GET', 'POST'])
def analysis():

    roundedListShops = listShops

    for data in roundedListShops.items():
        roundedListShops.loc[data[0], 'Store_Area'] = (data[1].astype("Int64")/100)*100

    #groupingByArea = listShops.groupby(['Store_Area']/100*100).agg({'Items_Available': ['mean']})

    print(roundedListShops)

    return home()

if __name__=="__main__":
    app.run(debug=True)