Build Excel Chart with Python by XLSXWRITER. Full Explanation and Example

This Python video tutorial shows how to build a custom and stylish Chart in Excel by Python programming language using xlsxwriter module. Video perfectly fits to Python users who are interesting into Python automation tasks between Python and Excel.

XlsxWriter is a Python module for writing files in the Excel 2007+ XLSX file format. XlsxWriter can be used to write text, numbers, formulas and hyperlinks to multiple worksheets and it supports features such as formatting and much more, including: 100 percent compatible Excel XLSX files.

This video demonstrate how to create a custom and fully labeled chart with one and two series of data in Excel by Python. Jupyter Notebook framework was used.

The contect of video is:
#1 - 0:05 How to set up a Worksheet in Excel by Python
#2 - 0:54 How to define a Series of Data (I used random data as example dataset)
#3 - 2:09 Create a new Chart object
#4 - 2:39 Add Series of Data to the Chart object
#! - 3:23 Save new Excel file from Python
#5 - 4:10 Change and modify Chart style
#6 - 5:06 Add Data Labels to the Chart and set a Font to these labels
#7 - 6:07 Add Trendline to the Chart (and display an equation trend function)
#8 - 7:36 Add Markers to the graph and give them a style (shape, color, etc.)
#9 - 8:58 Add more than one Series of Data to the Chart (graph) object.
#10 - 10:19 Change Chart type
#11 - 10:51 Build a Chart on the Specific cell in Excel.
#12 - 11:48 XLSXWRITER Official Documentation

Remember that XLSXWRITER support all standard colors as green, red, black, etc. and HEX color codes also.

Important to know: XLSXWRITER cannot be used to modify or write to an existing Excel XLSX file. Use openpyxl for such purposes. OpenPyxl can read existing excel files and write data back to it.

I hope this video help you to build a really impressive and full custom made charts in Excel in Python side. I am sure that this is important for construct Python based automation systems in business world. Xlsxwriter is like a bridge between Python and Excel.

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

#python #excel

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Build Excel Chart with Python by XLSXWRITER. Full Explanation and Example
Ray  Patel

Ray Patel

1619510796

Lambda, Map, Filter functions in python

Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.

Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is

Syntax: x = lambda arguments : expression

Now i will show you some python lambda function examples:

#python #anonymous function python #filter function in python #lambda #lambda python 3 #map python #python filter #python filter lambda #python lambda #python lambda examples #python map

Shardul Bhatt

Shardul Bhatt

1626775355

Why use Python for Software Development

No programming language is pretty much as diverse as Python. It enables building cutting edge applications effortlessly. Developers are as yet investigating the full capability of end-to-end Python development services in various areas. 

By areas, we mean FinTech, HealthTech, InsureTech, Cybersecurity, and that's just the beginning. These are New Economy areas, and Python has the ability to serve every one of them. The vast majority of them require massive computational abilities. Python's code is dynamic and powerful - equipped for taking care of the heavy traffic and substantial algorithmic capacities. 

Programming advancement is multidimensional today. Endeavor programming requires an intelligent application with AI and ML capacities. Shopper based applications require information examination to convey a superior client experience. Netflix, Trello, and Amazon are genuine instances of such applications. Python assists with building them effortlessly. 

5 Reasons to Utilize Python for Programming Web Apps 

Python can do such numerous things that developers can't discover enough reasons to admire it. Python application development isn't restricted to web and enterprise applications. It is exceptionally adaptable and superb for a wide range of uses.

Robust frameworks 

Python is known for its tools and frameworks. There's a structure for everything. Django is helpful for building web applications, venture applications, logical applications, and mathematical processing. Flask is another web improvement framework with no conditions. 

Web2Py, CherryPy, and Falcon offer incredible capabilities to customize Python development services. A large portion of them are open-source frameworks that allow quick turn of events. 

Simple to read and compose 

Python has an improved sentence structure - one that is like the English language. New engineers for Python can undoubtedly understand where they stand in the development process. The simplicity of composing allows quick application building. 

The motivation behind building Python, as said by its maker Guido Van Rossum, was to empower even beginner engineers to comprehend the programming language. The simple coding likewise permits developers to roll out speedy improvements without getting confused by pointless subtleties. 

Utilized by the best 

Alright - Python isn't simply one more programming language. It should have something, which is the reason the business giants use it. Furthermore, that too for different purposes. Developers at Google use Python to assemble framework organization systems, parallel information pusher, code audit, testing and QA, and substantially more. Netflix utilizes Python web development services for its recommendation algorithm and media player. 

Massive community support 

Python has a steadily developing community that offers enormous help. From amateurs to specialists, there's everybody. There are a lot of instructional exercises, documentation, and guides accessible for Python web development solutions. 

Today, numerous universities start with Python, adding to the quantity of individuals in the community. Frequently, Python designers team up on various tasks and help each other with algorithmic, utilitarian, and application critical thinking. 

Progressive applications 

Python is the greatest supporter of data science, Machine Learning, and Artificial Intelligence at any enterprise software development company. Its utilization cases in cutting edge applications are the most compelling motivation for its prosperity. Python is the second most well known tool after R for data analytics.

The simplicity of getting sorted out, overseeing, and visualizing information through unique libraries makes it ideal for data based applications. TensorFlow for neural networks and OpenCV for computer vision are two of Python's most well known use cases for Machine learning applications.

Summary

Thinking about the advances in programming and innovation, Python is a YES for an assorted scope of utilizations. Game development, web application development services, GUI advancement, ML and AI improvement, Enterprise and customer applications - every one of them uses Python to its full potential. 

The disadvantages of Python web improvement arrangements are regularly disregarded by developers and organizations because of the advantages it gives. They focus on quality over speed and performance over blunders. That is the reason it's a good idea to utilize Python for building the applications of the future.

#python development services #python development company #python app development #python development #python in web development #python software development

Gerhard  Brink

Gerhard Brink

1622622360

Data Validation in Excel

Data Validation in Excel

In this tutorial, let’s discuss what data validation is and how it can be implemented in MS-Excel. Let’s start!!!

What Is Data Validation in Excel?

Data Validation is one of the features in MS-Excel which helps in maintaining the consistency of the data in the spreadsheet. It controls the type of data that can enter in the data validated cells.

Data Validation in MS Excel

Now, let’s have a look at how data validation works and how to implement it in the worksheet:

To apply data validation for the cells, then follow the steps.

1: Choose to which all cells the validation of data should work.

2: Click on the DATA tab.

3: Go to the Data Validation option.

4: Choose the drop down option in it and click on the Data Validation.

data validation in Excel

Once you click on the data validation menu from the ribbon, a box appears with the list of data validation criteria, Input message and error message.

Let’s first understand, what is an input message and error message?

Once, the user clicks the cell, the input message appears in a small box near the cell.

If the user violates the condition of that particular cell, then the error message pops up in a box in the spreadsheet.

The advantage of both the messages is that the input and as well as the error message guide the user about how to fill the cells. Both the messages are customizable also.

Let us have a look at how to set it up and how it works with a sample

#ms excel tutorials #circle invalid data in excel #clear validation circles in excel #custom data validation in excel #data validation in excel #limitation in data validation in excel #setting up error message in excel #setting up input message in excel #troubleshooting formulas in excel #validate data in excel

Build Excel Chart with Python by XLSXWRITER. Full Explanation and Example

This Python video tutorial shows how to build a custom and stylish Chart in Excel by Python programming language using xlsxwriter module. Video perfectly fits to Python users who are interesting into Python automation tasks between Python and Excel.

XlsxWriter is a Python module for writing files in the Excel 2007+ XLSX file format. XlsxWriter can be used to write text, numbers, formulas and hyperlinks to multiple worksheets and it supports features such as formatting and much more, including: 100 percent compatible Excel XLSX files.

This video demonstrate how to create a custom and fully labeled chart with one and two series of data in Excel by Python. Jupyter Notebook framework was used.

The contect of video is:
#1 - 0:05 How to set up a Worksheet in Excel by Python
#2 - 0:54 How to define a Series of Data (I used random data as example dataset)
#3 - 2:09 Create a new Chart object
#4 - 2:39 Add Series of Data to the Chart object
#! - 3:23 Save new Excel file from Python
#5 - 4:10 Change and modify Chart style
#6 - 5:06 Add Data Labels to the Chart and set a Font to these labels
#7 - 6:07 Add Trendline to the Chart (and display an equation trend function)
#8 - 7:36 Add Markers to the graph and give them a style (shape, color, etc.)
#9 - 8:58 Add more than one Series of Data to the Chart (graph) object.
#10 - 10:19 Change Chart type
#11 - 10:51 Build a Chart on the Specific cell in Excel.
#12 - 11:48 XLSXWRITER Official Documentation

Remember that XLSXWRITER support all standard colors as green, red, black, etc. and HEX color codes also.

Important to know: XLSXWRITER cannot be used to modify or write to an existing Excel XLSX file. Use openpyxl for such purposes. OpenPyxl can read existing excel files and write data back to it.

I hope this video help you to build a really impressive and full custom made charts in Excel in Python side. I am sure that this is important for construct Python based automation systems in business world. Xlsxwriter is like a bridge between Python and Excel.

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

#python #excel

Osiki  Douglas

Osiki Douglas

1624615020

Excelython — Part 4: Read Excel Files in Python

Project Description

You are working on a purchasing team and you want to check your sales and inventory, the pending orders you might have, where you need to place new orders and what are the products that need your attention as they are slow movers.

After you have done all the downloading, the processing and evaluation, you need to send to another colleague a file by email, that has all the products, split by supplier and volume to be ordered per different sheet and you need a separate excel file with the products that you have stock greater than 4 weeks, ordered by the top 20 cost value, in order to create a plan of push their sales or return them back to supplier.

#excel #python #python-beginner #excelython — part 4: read excel files in python #excelython #read excel files in python