From c8e50543396a832c797463ac84a6eb96a1aa4683 Mon Sep 17 00:00:00 2001
From: Amit kumar mishra <akm43300@gmail.com>
Date: Thu, 11 Mar 2021 20:20:12 +0530
Subject: [PATCH 1/5] Spreadsheet

---
 Spreadsheet_Automation/PriceBook.xlsx         | Bin 0 -> 9898 bytes
 .../Purchases - Home B.xlsx                   | Bin 0 -> 10145 bytes
 Spreadsheet_Automation/script.py              |  24 ++++++++++++++++++
 3 files changed, 24 insertions(+)
 create mode 100644 Spreadsheet_Automation/PriceBook.xlsx
 create mode 100644 Spreadsheet_Automation/Purchases - Home B.xlsx
 create mode 100644 Spreadsheet_Automation/script.py

diff --git a/Spreadsheet_Automation/PriceBook.xlsx b/Spreadsheet_Automation/PriceBook.xlsx
new file mode 100644
index 0000000000000000000000000000000000000000..fcdb7483d22427f5962d57239bd2476e13a2ab8f
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diff --git a/Spreadsheet_Automation/script.py b/Spreadsheet_Automation/script.py
new file mode 100644
index 0000000000..9c3c98db35
--- /dev/null
+++ b/Spreadsheet_Automation/script.py
@@ -0,0 +1,24 @@
+# importing libraries
+
+import pandas as pd
+import plotly.express as px
+
+# storing the dataset
+book_relative_path = 'Purchases - Home B.xlsx'
+book_prices = 'PriceBook.xlsx'
+
+# reading the data
+data_prices = pd.read_excel(book_prices)
+data_home_1 = pd.read_excel(book_relative_path)
+
+#print​(df_prices, df_home_1)
+
+data_total = data_home_1.merge(data_prices, on='ID')
+
+data_total['Total Price'] = data_total['PURCHASED AMOUNT'] * data_total['Price']
+
+#print​(df_total)
+
+fig = px.pie(data_total[['MATERIAL', 'Total Price']], values='Total Price', names='MATERIAL')
+fig.show()
+

From bc52bf34f51bf708890fa650d8387941945acf0d Mon Sep 17 00:00:00 2001
From: Amit kumar mishra <akm43300@gmail.com>
Date: Fri, 12 Mar 2021 11:05:35 +0530
Subject: [PATCH 2/5] Readme

---
 Spreadsheet_Automation/Readme.md | 36 ++++++++++++++++++++++++++++++++
 1 file changed, 36 insertions(+)
 create mode 100644 Spreadsheet_Automation/Readme.md

diff --git a/Spreadsheet_Automation/Readme.md b/Spreadsheet_Automation/Readme.md
new file mode 100644
index 0000000000..29404b3802
--- /dev/null
+++ b/Spreadsheet_Automation/Readme.md
@@ -0,0 +1,36 @@
+# <b>Spreadsheet Automation</b>
+
+[![forthebadge](https://forthebadge.com/images/badges/made-with-python.svg)](https://forthebadge.com)
+
+## Spreadsheet Automation Functionalities : 🚀
+
+- First upload two datasets
+- The script will we compare the two datasets
+- The output will be a pie chart
+
+## Spreadsheet Automation Instructions: 👨🏻‍💻
+
+### Step 1:
+
+    Open Termnial 💻
+
+### Step 2:
+
+    Locate to the directory where python file is located 📂
+
+### Step 3:
+
+    Run the command: python script.py/python3 script.py 🧐
+
+### Step 4:
+
+    Sit back and Relax. Let the Script do the Job. ☕
+
+### Requirements
+
+    - pandas
+    - plotly
+
+## Author
+   
+   Amit Kumar Mishra
\ No newline at end of file

From 8d23e2ca5cdfd6aeadd1796a81d948def5f2db94 Mon Sep 17 00:00:00 2001
From: Amit kumar mishra <akm43300@gmail.com>
Date: Fri, 12 Mar 2021 20:01:29 +0530
Subject: [PATCH 3/5] Update

---
 Spreadsheet_Automation/script.py | 12 +++++++-----
 1 file changed, 7 insertions(+), 5 deletions(-)

diff --git a/Spreadsheet_Automation/script.py b/Spreadsheet_Automation/script.py
index 9c3c98db35..ff61293dab 100644
--- a/Spreadsheet_Automation/script.py
+++ b/Spreadsheet_Automation/script.py
@@ -4,8 +4,8 @@
 import plotly.express as px
 
 # storing the dataset
-book_relative_path = 'Purchases - Home B.xlsx'
-book_prices = 'PriceBook.xlsx'
+book_relative_path = input("Enter first dataset")
+book_prices = input("Enter second dataset")
 
 # reading the data
 data_prices = pd.read_excel(book_prices)
@@ -13,12 +13,14 @@
 
 #print​(df_prices, df_home_1)
 
-data_total = data_home_1.merge(data_prices, on='ID')
+item = input("What is the basis of merging? ")
+data_total = data_home_1.merge(data_prices, on=item)
 
 data_total['Total Price'] = data_total['PURCHASED AMOUNT'] * data_total['Price']
 
 #print​(df_total)
-
-fig = px.pie(data_total[['MATERIAL', 'Total Price']], values='Total Price', names='MATERIAL')
+material=input("Enter criteria 1")
+price=input("Enter criteria 2")
+fig = px.pie(data_total[[material, price]], values=price, names=material)
 fig.show()
 

From 105f3328b62e2b22368f75b366c9eb3e52ddd6a5 Mon Sep 17 00:00:00 2001
From: Amit kumar mishra <akm43300@gmail.com>
Date: Fri, 12 Mar 2021 22:15:27 +0530
Subject: [PATCH 4/5] Update

---
 Spreadsheet_Automation/script.py | 7 +++----
 1 file changed, 3 insertions(+), 4 deletions(-)

diff --git a/Spreadsheet_Automation/script.py b/Spreadsheet_Automation/script.py
index ff61293dab..a54e9d7bed 100644
--- a/Spreadsheet_Automation/script.py
+++ b/Spreadsheet_Automation/script.py
@@ -16,11 +16,10 @@
 item = input("What is the basis of merging? ")
 data_total = data_home_1.merge(data_prices, on=item)
 
-data_total['Total Price'] = data_total['PURCHASED AMOUNT'] * data_total['Price']
 
 #print​(df_total)
-material=input("Enter criteria 1")
-price=input("Enter criteria 2")
-fig = px.pie(data_total[[material, price]], values=price, names=material)
+criteria_1=input("Enter criteria 1")
+criteria_2=input("Enter criteria 2")
+fig = px.pie(data_total[[criteria_1, criteria_2]], values=criteria_2, names=criteria_1)
 fig.show()
 

From a73c333f6ddfbaa1f105abb5f7395a820a487e60 Mon Sep 17 00:00:00 2001
From: Amit kumar mishra <akm43300@gmail.com>
Date: Sat, 13 Mar 2021 21:00:07 +0530
Subject: [PATCH 5/5] Update

---
 Spreadsheet_Automation/script.py | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/Spreadsheet_Automation/script.py b/Spreadsheet_Automation/script.py
index a54e9d7bed..fce806ff0f 100644
--- a/Spreadsheet_Automation/script.py
+++ b/Spreadsheet_Automation/script.py
@@ -4,17 +4,17 @@
 import plotly.express as px
 
 # storing the dataset
-book_relative_path = input("Enter first dataset")
-book_prices = input("Enter second dataset")
+data1 = input("Enter first dataset")
+data2 = input("Enter second dataset")
 
 # reading the data
-data_prices = pd.read_excel(book_prices)
-data_home_1 = pd.read_excel(book_relative_path)
+data_read_1 = pd.read_excel(data1)
+data_read_2 = pd.read_excel(data2)
 
 #print​(df_prices, df_home_1)
 
-item = input("What is the basis of merging? ")
-data_total = data_home_1.merge(data_prices, on=item)
+reference = input("What is the basis of merging? ")
+data_total = data_read_2.merge(data_read_1, on=reference)
 
 
 #print​(df_total)