Getting All Documents Using FindAll - MERN Stack

In this lecture, we are going to learn how to get all the documents using the find All method. we are going to see how to get all the MongoDB documents using very simple mongoose methods.

Subscribe: https://www.youtube.com/c/DailyTuition/featured

#mern #mongodb

What is GEEK

Buddha Community

Getting All Documents Using FindAll - MERN Stack
Shubham Ankit

Shubham Ankit

1657081614

How to Automate Excel with Python | Python Excel Tutorial (OpenPyXL)

How to Automate Excel with Python

In this article, We will show how we can use python to automate Excel . A useful Python library is Openpyxl which we will learn to do Excel Automation

What is OPENPYXL

Openpyxl is a Python library that is used to read from an Excel file or write to an Excel file. Data scientists use Openpyxl for data analysis, data copying, data mining, drawing charts, styling sheets, adding formulas, and more.

Workbook: A spreadsheet is represented as a workbook in openpyxl. A workbook consists of one or more sheets.

Sheet: A sheet is a single page composed of cells for organizing data.

Cell: The intersection of a row and a column is called a cell. Usually represented by A1, B5, etc.

Row: A row is a horizontal line represented by a number (1,2, etc.).

Column: A column is a vertical line represented by a capital letter (A, B, etc.).

Openpyxl can be installed using the pip command and it is recommended to install it in a virtual environment.

pip install openpyxl

CREATE A NEW WORKBOOK

We start by creating a new spreadsheet, which is called a workbook in Openpyxl. We import the workbook module from Openpyxl and use the function Workbook() which creates a new workbook.

from openpyxl
import Workbook
#creates a new workbook
wb = Workbook()
#Gets the first active worksheet
ws = wb.active
#creating new worksheets by using the create_sheet method

ws1 = wb.create_sheet("sheet1", 0) #inserts at first position
ws2 = wb.create_sheet("sheet2") #inserts at last position
ws3 = wb.create_sheet("sheet3", -1) #inserts at penultimate position

#Renaming the sheet
ws.title = "Example"

#save the workbook
wb.save(filename = "example.xlsx")

READING DATA FROM WORKBOOK

We load the file using the function load_Workbook() which takes the filename as an argument. The file must be saved in the same working directory.

#loading a workbook
wb = openpyxl.load_workbook("example.xlsx")

 

GETTING SHEETS FROM THE LOADED WORKBOOK

 

#getting sheet names
wb.sheetnames
result = ['sheet1', 'Sheet', 'sheet3', 'sheet2']

#getting a particular sheet
sheet1 = wb["sheet2"]

#getting sheet title
sheet1.title
result = 'sheet2'

#Getting the active sheet
sheetactive = wb.active
result = 'sheet1'

 

ACCESSING CELLS AND CELL VALUES

 

#get a cell from the sheet
sheet1["A1"] <
  Cell 'Sheet1'.A1 >

  #get the cell value
ws["A1"].value 'Segment'

#accessing cell using row and column and assigning a value
d = ws.cell(row = 4, column = 2, value = 10)
d.value
10

 

ITERATING THROUGH ROWS AND COLUMNS

 

#looping through each row and column
for x in range(1, 5):
  for y in range(1, 5):
  print(x, y, ws.cell(row = x, column = y)
    .value)

#getting the highest row number
ws.max_row
701

#getting the highest column number
ws.max_column
19

There are two functions for iterating through rows and columns.

Iter_rows() => returns the rows
Iter_cols() => returns the columns {
  min_row = 4, max_row = 5, min_col = 2, max_col = 5
} => This can be used to set the boundaries
for any iteration.

Example:

#iterating rows
for row in ws.iter_rows(min_row = 2, max_col = 3, max_row = 3):
  for cell in row:
  print(cell) <
  Cell 'Sheet1'.A2 >
  <
  Cell 'Sheet1'.B2 >
  <
  Cell 'Sheet1'.C2 >
  <
  Cell 'Sheet1'.A3 >
  <
  Cell 'Sheet1'.B3 >
  <
  Cell 'Sheet1'.C3 >

  #iterating columns
for col in ws.iter_cols(min_row = 2, max_col = 3, max_row = 3):
  for cell in col:
  print(cell) <
  Cell 'Sheet1'.A2 >
  <
  Cell 'Sheet1'.A3 >
  <
  Cell 'Sheet1'.B2 >
  <
  Cell 'Sheet1'.B3 >
  <
  Cell 'Sheet1'.C2 >
  <
  Cell 'Sheet1'.C3 >

To get all the rows of the worksheet we use the method worksheet.rows and to get all the columns of the worksheet we use the method worksheet.columns. Similarly, to iterate only through the values we use the method worksheet.values.


Example:

for row in ws.values:
  for value in row:
  print(value)

 

WRITING DATA TO AN EXCEL FILE

Writing to a workbook can be done in many ways such as adding a formula, adding charts, images, updating cell values, inserting rows and columns, etc… We will discuss each of these with an example.

 

CREATING AND SAVING A NEW WORKBOOK

 

#creates a new workbook
wb = openpyxl.Workbook()

#saving the workbook
wb.save("new.xlsx")

 

ADDING AND REMOVING SHEETS

 

#creating a new sheet
ws1 = wb.create_sheet(title = "sheet 2")

#creating a new sheet at index 0
ws2 = wb.create_sheet(index = 0, title = "sheet 0")

#checking the sheet names
wb.sheetnames['sheet 0', 'Sheet', 'sheet 2']

#deleting a sheet
del wb['sheet 0']

#checking sheetnames
wb.sheetnames['Sheet', 'sheet 2']

 

ADDING CELL VALUES

 

#checking the sheet value
ws['B2'].value
null

#adding value to cell
ws['B2'] = 367

#checking value
ws['B2'].value
367

 

ADDING FORMULAS

 

We often require formulas to be included in our Excel datasheet. We can easily add formulas using the Openpyxl module just like you add values to a cell.
 

For example:

import openpyxl
from openpyxl
import Workbook

wb = openpyxl.load_workbook("new1.xlsx")
ws = wb['Sheet']

ws['A9'] = '=SUM(A2:A8)'

wb.save("new2.xlsx")

The above program will add the formula (=SUM(A2:A8)) in cell A9. The result will be as below.

image

 

MERGE/UNMERGE CELLS

Two or more cells can be merged to a rectangular area using the method merge_cells(), and similarly, they can be unmerged using the method unmerge_cells().

For example:
Merge cells

#merge cells B2 to C9
ws.merge_cells('B2:C9')
ws['B2'] = "Merged cells"

Adding the above code to the previous example will merge cells as below.

image

UNMERGE CELLS

 

#unmerge cells B2 to C9
ws.unmerge_cells('B2:C9')

The above code will unmerge cells from B2 to C9.

INSERTING AN IMAGE

To insert an image we import the image function from the module openpyxl.drawing.image. We then load our image and add it to the cell as shown in the below example.

Example:

import openpyxl
from openpyxl
import Workbook
from openpyxl.drawing.image
import Image

wb = openpyxl.load_workbook("new1.xlsx")
ws = wb['Sheet']
#loading the image(should be in same folder)
img = Image('logo.png')
ws['A1'] = "Adding image"
#adjusting size
img.height = 130
img.width = 200
#adding img to cell A3

ws.add_image(img, 'A3')

wb.save("new2.xlsx")

Result:

image

CREATING CHARTS

Charts are essential to show a visualization of data. We can create charts from Excel data using the Openpyxl module chart. Different forms of charts such as line charts, bar charts, 3D line charts, etc., can be created. We need to create a reference that contains the data to be used for the chart, which is nothing but a selection of cells (rows and columns). I am using sample data to create a 3D bar chart in the below example:

Example

import openpyxl
from openpyxl
import Workbook
from openpyxl.chart
import BarChart3D, Reference, series

wb = openpyxl.load_workbook("example.xlsx")
ws = wb.active

values = Reference(ws, min_col = 3, min_row = 2, max_col = 3, max_row = 40)
chart = BarChart3D()
chart.add_data(values)
ws.add_chart(chart, "E3")
wb.save("MyChart.xlsx")

Result
image


How to Automate Excel with Python with Video Tutorial

Welcome to another video! In this video, We will cover how we can use python to automate Excel. I'll be going over everything from creating workbooks to accessing individual cells and stylizing cells. There is a ton of things that you can do with Excel but I'll just be covering the core/base things in OpenPyXl.

⭐️ Timestamps ⭐️
00:00 | Introduction
02:14 | Installing openpyxl
03:19 | Testing Installation
04:25 | Loading an Existing Workbook
06:46 | Accessing Worksheets
07:37 | Accessing Cell Values
08:58 | Saving Workbooks
09:52 | Creating, Listing and Changing Sheets
11:50 | Creating a New Workbook
12:39 | Adding/Appending Rows
14:26 | Accessing Multiple Cells
20:46 | Merging Cells
22:27 | Inserting and Deleting Rows
23:35 | Inserting and Deleting Columns
24:48 | Copying and Moving Cells
26:06 | Practical Example, Formulas & Cell Styling

📄 Resources 📄
OpenPyXL Docs: https://openpyxl.readthedocs.io/en/stable/ 
Code Written in This Tutorial: https://github.com/techwithtim/ExcelPythonTutorial 
Subscribe: https://www.youtube.com/c/TechWithTim/featured 

#python 

Ajay Kapoor

1626068978

Top MERN Stack Development Company in India

PixelCrayons - Get MERN stack development services from certified full stack developers having 5+ years of experience. You can also hire dedicated team as your team extension on hourly or full time basis.

2X Faster Delivery
Strict NDA Terms
Flexible Engagement Models

Our MERN Stack Development Services

MERN stack includes the best JavaScript technologies. We have expertise in all four of them that enables us to deliver optimum MERN stack development services.

Stay ahead of competition with our professional, tailor-made & enterprise-grade MERN Stack development services. Our MERN Stack web development company combines development expertise with modern frameworks and technologies to address critical needs of global clients across industries.

#mern stack web development services #mern stack web development #mern stack development company #mern stack web development company #mern stack development services #mern stack companies

Ajay Kapoor

1625045880

Top MERN Stack Development Company in India

PixelCrayons: Get MERN stack development services from certified full stack developers having 5+ years of experience. You can also hire dedicated team as your team extension on hourly or full-time basis.

MERN stack includes the best JavaScript technologies. Our MERN stack web development company has expertise in all four of them that enables us to deliver optimum MERN stack development services.

Stay ahead of competition with our professional, tailor-made & enterprise-grade MERN Stack development services. Our MERN Stack development company India combines development expertise with modern frameworks and technologies to address critical needs of global clients across industries.

With 16+ years of domain expertise, 13800+ successful MERN Stack projects, & 6800+ happy customers, we have carved a niche in the MERN Stack development services.

Mern stack development company India

#mern stack companies #mern stack development company #mern stack development services #mern stack web development #mern stack web development company

Ajay Kapoor

1619588781

Mern Stack App Development: What Does the Future Hold?

Decided to go with Mern Stack but confused about its speed, productivity, and other things. Take off all the worries and go through the following analysis, giving you a clear vision to choose a mern stack for web applications development.

Mern stack is one of the most used stacks app development that makes a great impression on the app development technology solutions. It complies with ReactJS to deliver dynamic web applications.

Do you know? According to a 2020 developer survey, 42% of software developers used React.

Mern stack is very popular nowadays amongst developers who love using the stack after Mean stack. There is only a difference between both, and that is the use of Angular and React to create front-end web applications. Mean stack uses Angular, whereas Mern stack uses React.

React offers you the freedom to pick tools, libraries, and architecture for developing web applications, whereas Angular gives you less freedom and flexibility to build the applications.

If you are techno-friendly, you know that a stack is nothing but an amalgamation of frameworks, coding languages, tools, and libraries that developers use to create robust web applications.

Mern stack undoubtedly offers efficiency and productivity that help to build dynamic web applications. The future of Mern stack app development is bright as it is being used by developers worldwide. Moreover, it provides all the essential tools at a platform that helps to create swift and dynamic web applications.

It is more famous nowadays owing to the inclusion of the Javascript language.

Developers can use it to develop both sides, i.e., frontend and backend web applications. Hence the code is written in the same language, and that eliminates the feasibility of context switching.

You can also avail yourself benefits of the Mern stack by contacting a top Mern stack development company and provide your audience an exhilarating user experience.

Read the full blog here

#mern-stack-development #mern-stack-app-development #mern-stack-future #mern-stack-trends

Ajay Kapoor

1623650391

Top MERN Stack Development Company in India

Get MERN stack development services from certified full stack developers having 5+ years of experience. You can also hire dedicated team as your team extension on hourly or full time basis.

2X Faster Delivery
Strict NDA Terms
Flexible Engagement Models
Agile Development Process

Top mern stack development company

#mern-stack-development-company #best-mern-stack-companies #mern-stack-web-development-company #mern-stack-software-development-company