How to Auto-Adjust the Width of Excel Columns with Pandas ExcelWriter

Dynamically adjusting the width of Excel column names when using pandas.ExcelWriter and Python

One of the most frustrating things you possibly need to deal with is when generating an Excel file using Python, that contains numerous columns you are unable to read due to the short width of the columns. Ideally, you should deliver readable spreadsheets where all the columns are properly formatted so that they are readable.

In this article, we are going to explore quick and easy ways one can use for

  • Dynamically adjusting all column widths based on the length of the column name
  • Adjusting a specific column by using its name
  • Adjusting a specific column by using its index

Finally, we will also discuss how to fix one common problem that might occur when calling set_column method (AttributeError: 'Worksheet' object has no attribute 'set_column').

#python #programming #data-science #software-development #excel #how to auto-adjust the width of excel columns with pandas excelwriter

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How to Auto-Adjust the Width of Excel Columns with Pandas ExcelWriter

How to Auto-Adjust the Width of Excel Columns with Pandas ExcelWriter

Dynamically adjusting the width of Excel column names when using pandas.ExcelWriter and Python

One of the most frustrating things you possibly need to deal with is when generating an Excel file using Python, that contains numerous columns you are unable to read due to the short width of the columns. Ideally, you should deliver readable spreadsheets where all the columns are properly formatted so that they are readable.

In this article, we are going to explore quick and easy ways one can use for

  • Dynamically adjusting all column widths based on the length of the column name
  • Adjusting a specific column by using its name
  • Adjusting a specific column by using its index

Finally, we will also discuss how to fix one common problem that might occur when calling set_column method (AttributeError: 'Worksheet' object has no attribute 'set_column').

#python #programming #data-science #software-development #excel #how to auto-adjust the width of excel columns with pandas excelwriter

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

Paula  Hall

Paula Hall

1624431580

How to add a new column to Pandas DataFrame?

In this tutorial, we are going to discuss different ways to add a new column to pandas data frame.


Table of Contents

What is a pandas data frame?

Pandas data frameis a two-dimensional heterogeneous data structure that stores the data in a tabular form with labeled indexes i.e. rows and columns.

Usually, data frames are used when we have to deal with a large dataset, then we can simply see the summary of that large dataset by loading it into a pandas data frame and see the summary of the data frame.

In the real-world scenario, a pandas data frame is created by loading the datasets from an existing CSV file, Excel file, etc.

But pandas data frame can be also created from the listdictionary, list of lists, list of dictionaries, dictionary of ndarray/lists, etc. Before we start discussing how to add a new column to an existing data frame we require a pandas data frame.

#pandas #dataframe #pandas dataframe #column #add a new column #how to add a new column to pandas dataframe

Ananya Gupta

1604922206

Top 7 Advantages Of Advanced Excel Learning

Advanced Excel Certification offers numerous job opportunities that have come up. Lately, companies search for a talented personality who holds great knowledge in excel. However, simply basic knowledge isn’t sufficient. If you would like to be a part of a well-renowned company then you want to have the excel certification matching industrial standards.

Whether you’re seeking higher growth within an equivalent company or expecting an honest hike from the new company, complicated excel training courses with certification can surely increase your chances to be on the brink of the success ladder. Join an advanced online excel training class and improve your skills.

Know More About Advanced Excel?

The word itself explains the meaning of this course. this is often one quite skill that sets a learning benchmark for MS Excel. It offers a transparent insight to all or any of the simplest and therefore the most advanced features that are now available within the current version of Microsoft Excel.

In this competitive era where your colleagues would equally be striving to urge a far better post than you, if you excel yourself in some good certification courses then surely there’s no looking back for you.

This type of certification is all about brushing up your administration, management, and analytical skills which in today’s market is sort of important. To match up with the flexible needs of the clients, it’s important for you to be advanced and for this such training can certainly be helpful.

Some Mind-Blowing Benefits You Get:

There are ample Excel Training Courses that you simply may encounter, but choosing a certification course in Advanced excel possesses its perks for you also as for the corporate. Listed are a few that you simply got to know.

1.There is a superior recognition that you simply get
2.As compared to non-certified professionals, you occupy the highest at the competition
3.Employers will have you ever within the priority for giant important projects
4.If you’re a freelancer, then such advanced training is often an excellent learning experience
5.For those that wish to urge within the management, the world can have a boosting knowledge
6.Administration skills also get brushed up and a replacement range of job opportunities opens
7.There is an honest hike in PayScale soon after you show your skills and certification to your HR

Quick Tip which will Help:

If you’re getting to join a web course to urge such certification then see thereto that the trainer who is going to be taking care of you during this course is very experienced and may provide you with the simplest possible assistance.

Now you’ll boost your knowledge during a spreadsheet, play with new financial

#advanced excel online training #advanced excel online course #advanced excel training #advanced excel course #advanced excel training in noida #advanced excel training in delhi

Udit Vashisht

1586702221

Python Pandas Objects - Pandas Series and Pandas Dataframe

In this post, we will learn about pandas’ data structures/objects. Pandas provide two type of data structures:-

Pandas Series

Pandas Series is a one dimensional indexed data, which can hold datatypes like integer, string, boolean, float, python object etc. A Pandas Series can hold only one data type at a time. The axis label of the data is called the index of the series. The labels need not to be unique but must be a hashable type. The index of the series can be integer, string and even time-series data. In general, Pandas Series is nothing but a column of an excel sheet with row index being the index of the series.

Pandas Dataframe

Pandas dataframe is a primary data structure of pandas. Pandas dataframe is a two-dimensional size mutable array with both flexible row indices and flexible column names. In general, it is just like an excel sheet or SQL table. It can also be seen as a python’s dict-like container for series objects.

#python #python-pandas #pandas-dataframe #pandas-series #pandas-tutorial