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How to get sheet names using openpyxl – Python

The openpyxl library is widely used to handle excel files using Python . Often when dealing with excel files one might have noticed multiple sheets. The sheets are normally mentioned in the bottom left corner of the screen. One can install this library by running the following command.

In this article, we will be seeing how to get the names of these sheets and display them using openpyxl .

The file we will be using here is named Example.xlsx and has the following sheets. 

How to get sheet names using openpyxl in Python

Python Codde to get sheet names using Openpyxl

First, we need to import the openpyxl library. After this, we will load our excel sheet Example.xlsx. Then by using the function sheetnames we can get a list of names of all the sub sheets that are present in the main sheet.

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Reading Spreadsheets with OpenPyXL and Python

There are a couple of fundamental actions that you will do with Microsoft Excel documents. One of the most basic is the act of reading data from an Excel file. You will be learning how to get data from your Excel spreadsheets.

Editor’s note: This article is based on a chapter from the book: Automating Excel with Python. You can order a copy on Gumroad or Kickstarter .

Before you dive into automating Excel with Python, you should understand some of the common terminologies:

  • Spreadsheet or Workbook – The file itself (.xls or .xlsx).
  • Worksheet or Sheet – A single sheet of content within a Workbook. Spreadsheets can contain multiple Worksheets.
  • Column – A vertical line of data labeled with letters, starting with “A”.
  • Row – A horizontal line of data labeled with numbers, starting with 1.
  • Cell – A combination of Column and Row, like “A1”.

Now that you have some basic understanding of the vocabulary, you can move on.

In this chapter, you will learn how to do the following tasks:

  • Open a spreadsheet
  • Read specific cells
  • Read cells from a specific row
  • Read cells from a specific column
  • Read cells from multiple rows or columns
  • Read cells from a range
  • Read all cells in all sheets

You can get started by learning how to open a workbook in the next section!

Open a Spreadsheet

The first item that you need is a Microsoft Excel file. You can use the file that is in this GitHub code repository . There is a file in the chapter 2 folder called books.xlsx that you will use here.

It has two sheets in it. Here is a screenshot of the first sheet:

Book Worksheet

For completeness, here is a screenshot of the second sheet:

Sales Worksheet

Note: The data in these sheets are inaccurate, but they help learn how to use OpenPyXL.

Now you’re ready to start coding! Open up your favorite Python editor and create a new file named open_workbook.py . Then add the following code to your file:

The first step in this code is to import load_workbook() from the openpyxl package. The load_workbook() function will load up your Excel file and return it as a Python object. You can then interact with that Python object like you would any other object in Python.

You can get a list of the worksheets in the Excel file by accessing the sheetnames attribute. This list contains the titles of the worksheets from left to right in your Excel file. Your code will print out this list.

Next, you grab the currently active sheet. If your workbook only has one worksheet, then that sheet will be the active one. If your workbook has multiple worksheets, as this one does, then the last worksheet will be the active one.

The last two lines of your function print out the Worksheet object and the title of the active worksheet.

What if you want to select a specific worksheet to work on, though? To learn how to accomplish that, create a new file and name it read_specific_sheet.py .

Then enter the following code:

Your function, open_workbook() now accepts a sheet_name . sheet_name is a string that matches the title of the worksheet that you want to read. You check to see if the sheet_name is in the workbook.sheetnames in your code. If it is, you select that sheet by accessing it using workbook[sheet_name] .

Then you print out the sheet’s title to verify that you have the right sheet. You also call something new: calculate_dimension() . That method returns the cells that contain data in the worksheet. In this case, it will print out that “A1:D4” has data in them.

Now you are ready to move on and learn how to read data from the cells themselves.

Read Specific Cells

There are a lot of different ways to read cells using OpenPyXL. To start things off, you will learn how to read the contents of specific cells.

Create a new file in your Python editor and name it reading_specific_cells.py . Then enter the following code:

In this example, there are three hard-coded cells: A2, A3 and B3. You can access their values by using dictionary-like access: sheet["A2"].value . Alternatively, you can assign sheet["A2"] to a variable and then do something like cell.value to get the cell’s value.

You can see both of these methods demonstrated in your code above.

When you run this code, you should see the following output:

This output shows how you can easily extract specific cell values from Excel using Python.

Now you’re ready to learn how you can read the data from a specific row of cells!

Read Cells From Specific Row

In most cases, you will want to read more than a single cell in a worksheet at a time. OpenPyXL provides a way to get an entire row at once, too.

Go ahead and create a new file. You can name it reading_row_cells.py . Then add the following code to your program:

In this example, you pass in the row number 2 . You can iterate over the values in the row like this:

That makes grabbing the values from a row pretty straightforward. When you run this code, you’ll get the following output:

Those last two values are both None . If you don’t want to get values that are None, you should add some extra processing to check if the value is None before printing it out. You can try to figure that out yourself as an exercise.

You are now ready to learn how to get cells from a specific column!

Read Cells From Specific Column

Reading the data from a specific column is also a frequent use case that you should know how to accomplish. For example, you might have a column that contains only totals, and you need to extract only that specific column.

To see how you can do that, create a new file and name it reading_column_cells.py . Then enter this code:

This code is very similar to the code in the previous section. The difference here is that you are replacing sheet[row] with sheet[col] and iterating on that instead.

In this example, you set the column to “A”. When you run this code, you will get the following output:

Once again, some columns have no data (i.e., “None”). You can edit this code to ignore empty cells and only process cells that have contents.

Now let’s discover how to iterate over multiple columns or rows!

Read Cells from Multiple Rows or Columns

There are two methods that OpenPyXL’s worksheet objects give you for iterating over rows and columns. These are the two methods:

  • iter_rows()
  • iter_cols()

These methods are documented fairly well in OpenPyXL’s documentation. Both methods take the following parameters:

  • min_col (int) – smallest column index (1-based index)
  • min_row (int) – smallest row index (1-based index)
  • max_col (int) – largest column index (1-based index)
  • max_row (int) – largest row index (1-based index)
  • values_only (bool) – whether only cell values should be returned

You use the min and max rows and column parameters to tell OpenPyXL which rows and columns to iterate over. You can have OpenPyXL return the data from the cells by setting values_only to True. If you set it to False, iter_rows() and iter_cols() will return cell objects instead.

It’s always good to see how this works with actual code. With that in mind, create a new file named iterating_over_cells_in_rows.py and add this code to it:

Here you load up the workbook as you have in the previous examples. You get the sheet name that you want to extract data from and then use iter_rows() to get the rows of data. In this example, you set the minimum row to 1 and the maximum row to 3. That means that you will grab the first three rows in the Excel sheet you have specified.

Then you also set the columns to be 1 (minimum) to 3 (maximum). Finally, you set values_only to True .

When you run this code, you will get the following output:

Your program will print out the first three columns of the first three rows in your Excel spreadsheet. Your program prints the rows as tuples with three items in them. You are using iter_rows() as a quick way to iterate over rows and columns in an Excel spreadsheet using Python.

Now you’re ready to learn how to read cells in a specific range.

Read Cells from a Range

Excel lets you specify a range of cells using the following format: (col)(row):(col)(row). In other words, you can say that you want to start in column A, row 1, using A1 . If you wanted to specify a range, you would use something like this: A1:B6 . That tells Excel that you are selecting the cells starting at A1 and going to B6 .

Go ahead and create a new file named read_cells_from_range.py . Then add this code to it:

Here you pass in your cell_range and iterate over that range using the following nested for loop:

You check to see if the cell that you are extracting is a MergedCell . If it is, you skip it. Otherwise, you print out the cell name and its value.

That worked quite well. You should take a moment and try out a few other range variations to see how it changes the output.

Note: while the image of “Sheet 1 – Books” looks like cell A1 is distinct from the merged cell B1-G1, A1 is actually part of that merged cell.

The last code example that you’ll create will read all the data in your Excel document!

Read All Cells in All Sheets

Microsoft Excel isn’t as simple to read as a CSV file, or a regular text file. That is because Excel needs to store each cell’s data, which includes its location, formatting, and value, and that value could be a number, a date, an image, a link, etc. Consequently, reading an Excel file is a lot more work! openpyxl does all that hard work for us, though.

The natural way to iterate through an Excel file is to read the sheets from left to right, and within each sheet, you would read it row by row, from top to bottom. That is what you will learn how to do in this section.

You will take what you have learned in the previous sections and apply it here. Create a new file and name it read_all_data.py . Then enter the following code:

Here you load up the workbook as before, but this time you loop over the sheetnames . You print out each sheet name as you select it. You use a nested for loop to loop over the rows and cells to extract the data from your spreadsheet.

Once again, you skip MergedCells because their value is None — the actual value is in the normal cell that the MergedCell is merged with. If you run this code, you will see that it prints out all the data from the two worksheets.

You can simplify this code a bit by using iter_rows() . Open up a new file and name it read_all_data_values.py . Then enter the following:

In this code, you once again loop over the sheet names in the Excel document. However, rather than looping over the rows and columns, you use iter_rows() to loop over only the rows. You set values_only to True which will return a tuple of values for each row. You also do not set the minimum and maximum rows or columns for iter_rows() because you want to get all the data.

When you run this code, you will see it print out the name of each sheet, then all the data in that sheet, row-by-row. Give it a try on your own Excel worksheets and see what this code can do!

Wrapping Up

OpenPyXL lets you read an Excel Worksheet and its data in many different ways. You can extract values from your spreadsheets quickly with a minimal amount of code.

In this chapter, you learned how to do the following:

Now you are ready to learn how to create an Excel spreadsheet using OpenPyXL. That is the subject of the next article in this series!

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How to get sheet names using openpyxl in Python?

In this article, we will show you how to get all the sheet names found in an excel file using python openpyxl library.

Assume we have taken an excel file with the name sampleTutorialsPoint.xlsx containing multiple sheets with some random data. We will return all the sheet names found in a given excel file using the sheetnames attribute.

sampleTutorialsPoint.xlsx

Algorithm (Steps)

Following are the Algorithm/steps to be followed to perform the desired task −

Use the import keyword, to import the openpyxl module  (Openpyxl is a Python package for interacting with and managing Excel files. Excel 2010 and later files with the xlsx/xlsm/xltx/xltm extensions are supported. Data scientists use Openpyxl for data analysis, data copying, data mining, drawing charts, styling sheets, formula addition, and other operations)

Create a variable to store the path of the input excel file.

To create/load a workbook object, pass the input excel file to the openpyxl module's load_workbook() function (loads a workbook).

By applying the sheetnames attribute to the workbook, you obtain a list of all the sheetnames.

Traverse in the sheetNames List using the for loop and print the corresponding sheetNames.

The following program prints all the sheet names found in an input excel file −

On executing, the above program will generate the following output −

In our program, we used a sample excel file with dummy data. The excel file comprises a lot of sheets. By applying the sheetnames attribute to the workbook, we get a list of all the sheet names. Then we go through the list one by one, printing the corresponding sheetnames.

We learned how to use the openpyxl module to create a workbook from an excel file. We also learned how to extract the sheetnames of an excel file using the sheetnames attribute and how to display the list's contents one by one.

Vikram Chiluka

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How to Access Excel Sheets by Name in Openpyxl

In this tutorial, we will look at how to get a sheet by name and then perform some operations like adding a row, coloring data, setting interior/background color to that sheet – rather than active sheet.

How to access Excel sheets by name using openpyxl

Generally, an Excel Workbook has two or more sheets. By default, openpyxl works in the active worksheet.

In this tutorial, we will look at how to get a sheet by name and then perform some operations like adding a row, coloring data, and setting interior/background color to that sheet – rather than an active sheet.

Accessing a non-active sheet by name using openpyxl

For the example, we are using this sample Workbook:

sheet-name-openpyxl-s

You can see, it has six sheets, and “Product Information" is the active sheet.

Our task is to work with the "Employees" sheet.

The example of accessing and displaying Employees sheet

First, let us load a non-active sheet “Employees” in our sample Workbook.

In the program

  • We will load the Workbook
  • Specify Employees sheet
  • Display its contents by using “values”

Adding a new row to the non-active Employees sheet

We will add a new row to our Employees sheet. As we have seen above, it has two columns:

  • Employee Name

The program adds a new row to the Employees sheet:

openpy-sheet-name-add

You can see, we accessed the sheet by its name (which is non-active sheet in the Workbook). In the above program, we added and saved the record in that sheet as well.

Changing the font color of the salary column example

Now we will perform some formatting on a sheet that is not active and we will access it by name.

We will change the font column color of the Salary column.

sheet-name-format

You can see, the font color of the price column from the second row is changed to green.

You may learn more about Coloring Text/Font by openpyxl in its tutorial.

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Change sheet name using openpyxl in Python

print worksheet name openpyxl

In this tutorial, we will learn how to change sheet names using openpyxl in Python. We already know that each workbook can have multiple sheets. Let’s consider a workbook with more than one sheet and change their names.

Loading a workbook

We will load a workbook named ‘book.xlsx’ and print the names of the sheets in it.

Loading a workbook in openpyxl

The output shows the names of the sheets present in the workbook.

You can check:  How to get sheet names using openpyxl in Python

Changing the sheet names in Openpyxl

  • To change the sheet name, we use the title property of the sheet.

Changing the sheet names in Openpyxl

Here, the name of the first sheet is changed from ‘ Firstsheet ‘ to ‘ First ‘.

  • We can also change any intermediate sheet name by using its name and title property.

Change sheet name using openpyxl in Python

Hence, we changed the second sheet name from ‘ Secondsheet ‘ to ‘ Second ‘.

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Python openpyxl

last modified January 29, 2024

In this article we show how to work with Excel files in Python using openpyxl library.

The openpyxl is a Python library to read and write Excel 2010 xlsx/xlsm/xltx/xltm files.

In this article we work with xlsx files. The xlsx is a file extension for an open XML spreadsheet file format used by Microsoft Excel. The xlsm files support macros. The xls format is a proprietary binary format while xlsx is based on Office Open XML format.

We install openpyxl with the pip tool.

Openpyxl create new file

In the first example, we create a new xlsx file with openpyxl .

In the example, we create a new xlsx file. We write data into three cells.

We import the Workbook class from the openpyxl module. A workbook is the container for all other parts of the document.

A new workbook is created. A workbook is always created with at least one worksheet.

We get the reference to the active sheet with active property.

We write numerical data to cells A1 and A2.

We write current date to the cell A3.

We write the contents to the sample.xlsx file with the save method.

New file

Openpyxl write to a cell

There are two basic ways to write to a cell: using a key of a worksheet such as A1 or D3, or using a row and column notation with the cell method.

In the example, we write two values to two cells.

Here, we assing a numerical value to the A1 cell.

In this line, we write to cell B2 with the row and column notation.

Openpyxl append values

With the append method, we can append a group of values at the bottom of the current sheet.

In the example, we append three columns of data into the current sheet.

The data is stored in a tuple of tuples.

We go through the container row by row and insert the data row with the append method.

Openpyxl read cell

In the following example, we read the previously written data from the sample.xlsx file.

The example loads an existing xlsx file and reads three cells.

The file is opened with the load_workbook method.

We read the contents of the A1, A2, and A3 cells. In the third line, we use the cell method to get the value of A3 cell.

Openpyxl read multiple cells

We have the following data sheet:

Items

We read the data using a range operator.

In the example, we read data from two columns using a range operation.

In this line, we read data from cells A1 - B6.

The format function is used for neat output of data on the console.

Openpyxl iterate by rows

The iter_rows function return cells from the worksheet as rows.

The example iterates over data row by row.

We provide the boundaries for the iteration.

Openpyxl iterate by columns

The iter_cols function returns cells from the worksheet as columns.

The example iterates over data column by column.

For the next example, we need to create a xlsx file containing numbers. For instance, we have created 25 rows of numbers in 10 columns with the RANDBETWEEN function.

In the example, we read all values from the sheet and compute some basic statistics.

The statistics module is imported to provide some statistical functions, such as median and variance.

Using the data_only option, we get the values from the cells, not the formula.

We get all the rows of cells that are not empty.

In two for loops, we form a list of integer values from the cells.

We compute and print mathematical statistics about the values. Some of the functions are built-in, others are imported with the statistics module.

Openpyxl filter & sort data

A sheet has an auto_filter attribute, which allows to set filtering and sorting conditions.

Note that Openpyxl sets the conditions but we must apply them inside the Spreadsheet application.

In the example, we create a sheet with items and their colours. We set a filter and a sort condition.

Openpyxl dimensions

To get those cells that actually contain data, we can use dimensions.

The example calculates the dimensions of two columns of data.

We add data to the worksheet. Note that we start adding from the third row.

The dimensions property returns the top-left and bottom-right cell of the area of non-empty cells.

Witht the min_row and max_row properties, we get the minimum and maximum row containing data.

With the min_column and max_column properties, we get the minimum and maximum column containing data.

We iterate through the data and print it to the console.

Each workbook can have multiple sheets.

Sheets

Let's have a workbook with these three sheets.

The program works with Excel sheets.

The get_sheet_names method returns the names of available sheets in a workbook.

We get the active sheet and print its type to the terminal.

We get a reference to a sheet with the get_sheet_by_name method.

The title of the retrieved sheet is printed to the terminal.

In this example, we create a new sheet.

A new sheet is created with the create_sheet method.

The sheet names can be shown with the sheetnames attribute as well.

A sheet can be removed with the remove_sheet method.

A new sheet can be created at the specified position; in our case, we create a new sheet at position with index 0.

It is possible to change the background colour of a worksheet.

The example modifies the background colour of the sheet titled "March".

We change the tabColor property to a new colour.

Background colour of a worksheet

The background colour of the third worksheet has been changed to some blue colour.

Merging cells

Cells can be merged with the merge_cells method and unmerged with the unmerge_cells method. When we merge cells, all cells but the top-left one are removed from the worksheet.

In the example, we merge four cells: A1, B1, A2, and B2. The text in the final cell is centered.

In order to center a text in the final cell, we use the Alignment class from the openpyxl.styles module.

We merge four cells with the merge_cells method.

We get the final cell.

We set text to the merged cell and update its alignment.

Merged cells

Openpyxl freeze panes

When we freeze panes, we keep an area of a worksheet visible while scrolling to another area of the worksheet.

The example freezes panes by the cell B2.

To freeze panes, we use the freeze_panes property.

Openpyxl formulas

The next example shows how to use formulas. The openpyxl does not do calculations; it writes formulas into cells.

In the example, we calculate the sum of all values with the SUM function and style the output in bold font.

We create two columns of data.

We get the cell where we show the result of the calculation.

We write a formula into the cell.

We change the font style.

Calculating the sum of values

Openpyxl images

In the following example, we show how to insert an image into a sheet.

In the example, we write an image into a sheet.

We work with the Image class from the openpyxl.drawing.image module.

A new Image class is created. The icesid.png image is located in the current working directory.

We add a new image with the add_image method.

Openpyxl Charts

The openpyxl library supports creation of various charts, including bar charts, line charts, area charts, bubble charts, scatter charts, and pie charts.

According to the documentation, openpyxl supports chart creation within a worksheet only. Charts in existing workbooks will be lost.

In the example, we create a bar chart to show the number of Olympic gold medals per country in London 2012.

The openpyxl.chart module has tools to work with charts.

A new workbook is created.

We create some data and add it to the cells of the active sheet.

With the Reference class, we refer to the rows in the sheet that represent data. In our case, these are the numbers of olympic gold medals.

We create a category axis. A category axis is an axis with the data treated as a sequence of non-numerical text labels. In our case, we have text labels representing names of countries.

We create a bar chart and set it data and categories.

Using legend and majorGridlines attributes, we turn off the legends and major grid lines.

Setting varyColors to True , each bar has a different colour.

A title is set for the chart.

The created chart is added to the sheet with the add_chart method.

Bar chart

Python openpyxl documentation

In this article we have worked with the openpyxl library. We have read data from an Excel file, written data to an Excel file.

My name is Jan Bodnar and I am a passionate programmer with many years of programming experience. I have been writing programming articles since 2007. So far, I have written over 1400 articles and 8 e-books. I have over eight years of experience in teaching programming.

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COMMENTS

  1. python

    6 Answers Sorted by: 146 Use the sheetnames property: sheetnames Returns the list of the names of worksheets in this workbook. Names are returned in the worksheets order. Type: list of strings print (wb.sheetnames) You can also get worksheet objects from wb.worksheets: ws = wb.worksheets[0] Share Follow edited Nov 21, 2018 at 14:45 Petter

  2. How to get sheet names using openpyxl

    The openpyxl library is widely used to handle excel files using Python. Often when dealing with excel files one might have noticed multiple sheets. The sheets are normally mentioned in the bottom left corner of the screen. One can install this library by running the following command. pip install openpyxl

  3. Tutorial

    Once you gave a worksheet a name, you can get it as a key of the workbook: >>> ws3 = wb["New Title"] You can review the names of all worksheets of the workbook with the Workbook.sheetname attribute >>> print(wb.sheetnames) ['Sheet2', 'New Title', 'Sheet1']

  4. How to get sheet names using openpyxl in Python

    We can access and print the list of the names of the worksheets of a workbook in order by using the sheetnames property. It returns the list of all available sheets' names in an Excel Workbook. Program to get sheet names using openpyxl library in Python Let's understand with a program:

  5. openpyxl.worksheet.worksheet module

    Worksheet is the 2nd-level container in Excel. class openpyxl.worksheet.worksheet.Worksheet(parent, title=None) [source] ¶ Bases: openpyxl.workbook.child._WorkbookChild Represents a worksheet. Do not create worksheets yourself, use openpyxl.workbook.Workbook.create_sheet () instead BREAK_COLUMN = 2 ¶ BREAK_NONE = 0 ¶ BREAK_ROW = 1 ¶

  6. A Guide to Excel Spreadsheets in Python With openpyxl

    Reading Excel Spreadsheets With openpyxl Dataset for This Tutorial A Simple Approach to Reading an Excel Spreadsheet Importing Data From a Spreadsheet Appending New Data Writing Excel Spreadsheets With openpyxl Creating a Simple Spreadsheet Basic Spreadsheet Operations Adding Formulas Adding Styles Conditional Formatting Adding Images

  7. Reading Spreadsheets with OpenPyXL and Python

    Here is a screenshot of the first sheet: For completeness, here is a screenshot of the second sheet: Note: The data in these sheets are inaccurate, but they help learn how to use OpenPyXL. Now you're ready to start coding! Open up your favorite Python editor and create a new file named open_workbook.py. Then add the following code to your file:

  8. How to get sheet names using openpyxl in Python?

    How to get sheet names using openpyxl in Python? Programming Python Server Side Programming In this article, we will show you how to get all the sheet names found in an excel file using python openpyxl library. Assume we have taken an excel file with the name sampleTutorialsPoint.xlsx containing multiple sheets with some random data.

  9. Obtain name of worksheet using openpyxl

    <Worksheet "SheetName"> the type of sheet is <class 'openpyxl.worksheet.worksheet.Worksheet'> Is there a way that I can just get the worksheet name returned (so my output would be "SheetName" only. Or would I have to convert to string and strip the parts of the string I don't need? python openpyxl Share Follow edited Jun 24, 2020 at 22:45 halfer

  10. Python Openpyxl: How to Print Sheet Names Using Openpyxl ...

    In this print sheet names Openpyxl video we will ensure openpyxl is installed and... You will learn about how to print sheet names using Openpyxl in this video.

  11. 3 Ways to Get Excel Sheets List using Pandas/openpyxl

    Last Sheet Name: Sheet2. Using openpyxl library to get Sheet name in the Workbook. If you are using openpyxl for working with Excel files, it has also an easy way of getting the list of sheet names in the Workbook. The following example loads the Excel Workbook by load_workbook and then uses its sheetnames method is used to get the list of ...

  12. Worksheet Tables

    from openpyxl import Workbook from openpyxl.worksheet.table import Table, TableStyleInfo wb = Workbook() ws = wb.active data = [ ['Apples', 10000, 5000, 8000, 6000], ['Pears', 2000, 3000, 4000, 5000], ['Bananas', 6000, 6000, 6500, 6000], ['Oranges', 500, 300, 200, 700], ] # add column headings.

  13. How to Access Excel Sheets by Name in Openpyxl

    By default, openpyxl works in the active worksheet. In this tutorial, we will look at how to get a sheet by name and then perform some operations like adding a row, coloring data, and setting interior/background color to that sheet - rather than an active sheet. Accessing a non-active sheet by name using openpyxl

  14. How to get the name of the currently active sheet in Openpyxl

    How to get the name of the currently active sheet in Openpyxl Asked 5 years, 3 months ago Modified 2 years, 8 months ago Viewed 6k times 2 I understand calling wb.sheetnames returns a list of the names as strings for each sheet, however I cannot see a way to get the name of the currently active sheet.

  15. Change sheet name using openpyxl in Python

    print(wb.sheetnames) Output: ['Firstsheet', 'Secondsheet'] The output shows the names of the sheets present in the workbook. You can check: How to get sheet names using openpyxl in Python Changing the sheet names in Openpyxl To change the sheet name, we use the title property of the sheet. ss_sheet1= wb['Firstsheet'] ss_sheet1.title ='First'

  16. Defined Names

    # create a local named range (only valid for a specific sheet) ws = wb["Sheet"] ws.title = "My Sheet" # make sure sheetnames and cell referencesare quoted correctly ref = f"{quote_sheetname(ws.title)}!{absolute_coordinate('A6')}" defn = DefinedName("private_range", attr_text=ref) ws.defined_names.add(defn) print(ws.defined_names["private_range"...

  17. Python openpyxl

    Excel xlsx. In this article we work with xlsx files. The xlsx is a file extension for an open XML spreadsheet file format used by Microsoft Excel. The xlsm files support macros. The xls format is a proprietary binary format while xlsx is based on Office Open XML format. $ pip install openpyxl. We install openpyxl with the pip tool.

  18. How to iterate over worksheets in workbook, openpyxl

    4 Answers Sorted by: 45 Open the workbook via load_workbook () and iterate over worksheets: from openpyxl import load_workbook wb = load_workbook(r"C:\Excel\LOOKUP_TABLES_edited.xlsx")

  19. Print Settings

    You can select a part of a worksheet as the only part that you want to print >>> from openpyxl.workbook import Workbook >>> >>> wb = Workbook() >>> ws = wb.active >>> >>> ws.print_area = 'A1:F10' Change page layout and size ¶ You can adjust the size and print orientation per sheet of a workbook.

  20. Read and print the content of sheet in a workbook

    1 I have a excel file which I opened in openpyxl and cleaned it and closed the work book, with the example code below: #filename is the name of the excel file used wb = load_workbook (filename) sheet = wb.active #I did some cleaning on the sheet. #I closed the workbook wb.close ()

  21. openpyxl.worksheet.print_settings

    Source code for openpyxl.worksheet.print_settings. # Copyright (c) 2010-2023 openpyxl import re from openpyxl.descriptors import (Strict, Integer, String, Typed ...