From 671161347e329a39d210a214b7920dc213393228 Mon Sep 17 00:00:00 2001
From: ElEgEv <112943269+ElEgEv@users.noreply.github.com>
Date: Thu, 28 Sep 2023 20:48:51 +0400
Subject: [PATCH] Lab work 2.
---
LabWork01/AnalysCustomers.py | 23 ++++++++++++++++
LabWork01/AnalysSales.py | 23 ++++++++++++++++
LabWork01/AnalysSalesCustomers.py | 23 ++++++++++++++++
LabWork01/DataFrameAnalys.py | 25 +++++++++++++++++
LabWork01/FuncLoad.py | 3 --
LabWork01/LoadDB.py | 25 ++++++++++++-----
LabWork01/templates/main_page.html | 44 ++++++++++++++++++++++++++++++
7 files changed, 156 insertions(+), 10 deletions(-)
create mode 100644 LabWork01/AnalysCustomers.py
create mode 100644 LabWork01/AnalysSales.py
create mode 100644 LabWork01/AnalysSalesCustomers.py
create mode 100644 LabWork01/DataFrameAnalys.py
diff --git a/LabWork01/AnalysCustomers.py b/LabWork01/AnalysCustomers.py
new file mode 100644
index 0000000..339f5a1
--- /dev/null
+++ b/LabWork01/AnalysCustomers.py
@@ -0,0 +1,23 @@
+import pandas
+import pandas as pd
+
+def analysCustomersDataFrame(df: pandas.DataFrame):
+
+ df['Size'] = df['Store_Area'].apply(lambda x: 'Small' if x <= 1100 else ('Average' if 1100 < x <= 1800 else 'Big'))
+
+ table_one = df.query("Size == 'Small'").groupby('Size')
+ table_two = df.query("Size == 'Average'").groupby('Size')
+ table_three = df.query("Size == 'Big'").groupby('Size')
+
+ minMaxMean_one = table_one.agg({'Daily_Customer_Count': ['min', 'max', 'mean']}).round(2).reset_index()
+ minMaxMean_two = table_two.agg({'Daily_Customer_Count': ['min', 'max', 'mean']}).round(2).reset_index()
+ minMaxMean_three = table_three.agg({'Daily_Customer_Count': ['min', 'max', 'mean']}).round(2).reset_index()
+
+ totalTable = pd.merge(minMaxMean_one, minMaxMean_two, left_index=True, right_index=True)
+
+ totalTable = pd.merge(totalTable, minMaxMean_three, left_index=True, right_index=True)
+
+ # for data in roundedListShops.items():
+ # roundedListShops.loc[data[0], 'Store_Area'] = (data[1].astype("Int64")/100)*100
+
+ return totalTable
\ No newline at end of file
diff --git a/LabWork01/AnalysSales.py b/LabWork01/AnalysSales.py
new file mode 100644
index 0000000..77a9fdb
--- /dev/null
+++ b/LabWork01/AnalysSales.py
@@ -0,0 +1,23 @@
+import pandas
+import pandas as pd
+
+def analysSalesDataFrame(df: pandas.DataFrame):
+
+ df['Size'] = df['Store_Area'].apply(lambda x: 'Small' if x <= 1100 else ('Average' if 1100 < x <= 1800 else 'Big'))
+
+ table_one = df.query("Size == 'Small'").groupby('Size')
+ table_two = df.query("Size == 'Average'").groupby('Size')
+ table_three = df.query("Size == 'Big'").groupby('Size')
+
+ minMaxMean_one = table_one.agg({'Store_Sales': ['min', 'max', 'mean']}).round(2).reset_index()
+ minMaxMean_two = table_two.agg({'Store_Sales': ['min', 'max', 'mean']}).round(2).reset_index()
+ minMaxMean_three = table_three.agg({'Store_Sales': ['min', 'max', 'mean']}).round(2).reset_index()
+
+ totalTable = pd.merge(minMaxMean_one, minMaxMean_two, left_index=True, right_index=True)
+
+ totalTable = pd.merge(totalTable, minMaxMean_three, left_index=True, right_index=True)
+
+ # for data in roundedListShops.items():
+ # roundedListShops.loc[data[0], 'Store_Area'] = (data[1].astype("Int64")/100)*100
+
+ return totalTable
\ No newline at end of file
diff --git a/LabWork01/AnalysSalesCustomers.py b/LabWork01/AnalysSalesCustomers.py
new file mode 100644
index 0000000..af7015e
--- /dev/null
+++ b/LabWork01/AnalysSalesCustomers.py
@@ -0,0 +1,23 @@
+import pandas
+import pandas as pd
+
+def analysSalesCustomersDataFrame(df: pandas.DataFrame):
+
+ df['SaleCustomer'] = df['Daily_Customer_Count'].apply(lambda x: 'Small' if x <= 200 else ('Average' if 200 < x <= 800 else 'Big'))
+
+ table_one = df.query("SaleCustomer == 'Small'").groupby('SaleCustomer')
+ table_two = df.query("SaleCustomer == 'Average'").groupby('SaleCustomer')
+ table_three = df.query("SaleCustomer == 'Big'").groupby('SaleCustomer')
+
+ minMaxMean_one = table_one.agg({'Store_Sales': ['min', 'max', 'mean']}).round(2).reset_index()
+ minMaxMean_two = table_two.agg({'Store_Sales': ['min', 'max', 'mean']}).round(2).reset_index()
+ minMaxMean_three = table_three.agg({'Store_Sales': ['min', 'max', 'mean']}).round(2).reset_index()
+
+ totalTable = pd.merge(minMaxMean_one, minMaxMean_two, left_index=True, right_index=True)
+
+ totalTable = pd.merge(totalTable, minMaxMean_three, left_index=True, right_index=True)
+
+ # for data in roundedListShops.items():
+ # roundedListShops.loc[data[0], 'Store_Area'] = (data[1].astype("Int64")/100)*100
+
+ return totalTable
\ No newline at end of file
diff --git a/LabWork01/DataFrameAnalys.py b/LabWork01/DataFrameAnalys.py
new file mode 100644
index 0000000..0601d13
--- /dev/null
+++ b/LabWork01/DataFrameAnalys.py
@@ -0,0 +1,25 @@
+import pandas
+import pandas as pd
+
+#или как analysDataFrame(df)->pandas.DataFrame:
+
+def analysItemsDataFrame(df: pandas.DataFrame):
+
+ df['Size'] = df['Store_Area'].apply(lambda x: 'Small' if x <= 1100 else ('Average' if 1100 < x <= 1800 else 'Big'))
+
+ table_one = df.query("Size == 'Small'").groupby('Size')
+ table_two = df.query("Size == 'Average'").groupby('Size')
+ table_three = df.query("Size == 'Big'").groupby('Size')
+
+ minMaxMean_one = table_one.agg({'Items_Available': ['min', 'max', 'mean']}).round(2).reset_index()
+ minMaxMean_two = table_two.agg({'Items_Available': ['min', 'max', 'mean']}).round(2).reset_index()
+ minMaxMean_three = table_three.agg({'Items_Available': ['min', 'max', 'mean']}).round(2).reset_index()
+
+ totalTable = pd.merge(minMaxMean_one, minMaxMean_two, left_index=True, right_index=True)
+
+ totalTable = pd.merge(totalTable, minMaxMean_three, left_index=True, right_index=True)
+
+ # for data in roundedListShops.items():
+ # roundedListShops.loc[data[0], 'Store_Area'] = (data[1].astype("Int64")/100)*100
+
+ return totalTable
\ No newline at end of file
diff --git a/LabWork01/FuncLoad.py b/LabWork01/FuncLoad.py
index 10dec80..08a34b0 100644
--- a/LabWork01/FuncLoad.py
+++ b/LabWork01/FuncLoad.py
@@ -1,7 +1,4 @@
-import csv
-import numpy as np
import pandas as pd
-from LabWork01.Shop import Shop
def createDataFrame():
df = pd.read_csv('../res/Stores.csv')
diff --git a/LabWork01/LoadDB.py b/LabWork01/LoadDB.py
index e8a40a3..cf63338 100644
--- a/LabWork01/LoadDB.py
+++ b/LabWork01/LoadDB.py
@@ -1,4 +1,9 @@
from flask import Flask, redirect, url_for, request, render_template
+
+from LabWork01.AnalysCustomers import analysCustomersDataFrame
+from LabWork01.AnalysSales import analysSalesDataFrame
+from LabWork01.AnalysSalesCustomers import analysSalesCustomersDataFrame
+from LabWork01.DataFrameAnalys import analysItemsDataFrame
from LabWork01.FuncLoad import createDataFrame
app = Flask(__name__)
@@ -14,7 +19,7 @@ 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)
+ return render_template('main_page.html', context=[], tableAnalys=[], titles=[''], listTypes=listTypes, countNull=countNull, firstRow=1, secondRow=4, firstColumn=1, secondColumn=4)
@app.route("/showDiapason", methods=['GET','POST'])
def numtext():
@@ -61,17 +66,23 @@ def numtext():
#функция для проведения анализа данных
@app.route("/analysis", methods=['GET', 'POST'])
def analysis():
+ firstAnalys = analysItemsDataFrame(listShops)
- roundedListShops = listShops
+ secondAnalys = analysCustomersDataFrame(listShops)
- for data in roundedListShops.items():
- roundedListShops.loc[data[0], 'Store_Area'] = (data[1].astype("Int64")/100)*100
+ thirdAnalys = analysSalesDataFrame(listShops)
- #groupingByArea = listShops.groupby(['Store_Area']/100*100).agg({'Items_Available': ['mean']})
+ fourthAnalys = analysSalesCustomersDataFrame(listShops)
- print(roundedListShops)
+ print(firstAnalys)
- return home()
+ return render_template('main_page.html', context=[], tableAnalysOne=[firstAnalys.to_html()],
+ tableAnalysTwo=[secondAnalys.to_html()],
+ tableAnalysThree=[thirdAnalys.to_html()],
+ tableAnalysFour=[fourthAnalys.to_html()],
+ titles=[''],
+ listTypes=listTypes, countNull=countNull, firstRow=1,
+ secondRow=4, firstColumn=1, secondColumn=4)
if __name__=="__main__":
app.run(debug=True)
diff --git a/LabWork01/templates/main_page.html b/LabWork01/templates/main_page.html
index e6c1225..74ba7df 100644
--- a/LabWork01/templates/main_page.html
+++ b/LabWork01/templates/main_page.html
@@ -52,5 +52,49 @@
{% endfor %}
+
+
+ Результаты первого анализа
+
+
+ {% for table in tableAnalysOne %}
+ {{ titles[loop.index] }}
+ {{ table|safe }}
+ {% endfor %}
+
+
+
+
+ Результаты второго анализа
+
+
+ {% for table in tableAnalysTwo %}
+ {{ titles[loop.index] }}
+ {{ table|safe }}
+ {% endfor %}
+
+
+
+
+ Результаты третьего анализа
+
+
+ {% for table in tableAnalysThree %}
+ {{ titles[loop.index] }}
+ {{ table|safe }}
+ {% endfor %}
+
+
+
+
+ Результаты четвёртого анализа
+
+
+ {% for table in tableAnalysFour %}
+ {{ titles[loop.index] }}
+ {{ table|safe }}
+ {% endfor %}
+
+