I’m looking for an activity to combine multiple excel files into one excel workbook with multiple sheets. I have a number of similarly named excel files in my download folder that I want to loop through and select using a wild card like file1, file2 would be grabbed using file.xlsx. Learn how to Combine Data From Multiple Sheets (Tabs) in Microsoft Excel using Power Query, auto expandable Table Objects and make an automatic master sheet. Now, go to the Data tab and click “Get Data” → “From File” → “From Workbook”. Then, select your workbook, check the “Select Multiple Items” box, and check off all the spreadsheets you want to.
I recently receive the following question:
Is there a way to combine numerous Sheets into a single Sheet? I have an Excel document with 72 sheets, that I would like to be 1 continuous sheet. Thanks again for your help.
You can use the following tool to put together the rows or columns from multiple sheets in your workbook:
Columns & Rows » Put together rows or columns from several sheets...
As an alternative, you can also export the sheets a separate files and then import them into one new workbook:
Export » Export worksheets as separate files...
Import » Merge and/or import multiple files...
This second approach is sometimes a bit easier when the amount of rows or columns in your worksheets vary and it has more options to choose from.
One of the most commonly used pandas functions is
read_excel. This short article shows how youcan read in all the tabs in an Excel workbook and combine them into a single pandas dataframe usingone command.
For those of you that want the TLDR, here is the command:
Read on for an explanation of when to use this and how it works.
For the purposes of this example, we assume that the Excel workbook is structured like this:
The process I will describe works when:
read_excel function is a feature packed pandas function. For this specificcase, we can use the
sheet_name parameter to streamline the reading in of all the sheetsin our Excel file.
Most of the time, you will read in a specific sheet from an Excel file:
If you carefully look at the documentation, you may notice that if you use
sheet_name=None,you can read in all the sheets in the workbook at one time. Let’s try it:
Pandas will read in all the sheets and return a
collections.OrderedDict object. For the purposesof the readability of this article, I’m defining the full url and passing it to
read_excel. In practice,you may decide to make this one command.
Let’s inspect the resulting
If you want to access a single sheet as a dataframe:
|account number||name||sku||quantity||unit price||ext price||date|
|1||383080||Will LLC||S1-93683||28||90.86||2544.08||2018-03-05 05:11:49|
|2||729833||Koepp Ltd||S1-30248||13||44.84||582.92||2018-03-05 17:33:52|
If we want to join all the individual dataframes into one single dataframe, use pd.concat:
In this case, we use
ignore_index since the automatically generated indicesof
Sheet2, etc. are not meaningful.
If your data meets the structure outlined above, this one liner will return a singlepandas dataframe that combines the data in each Excel worksheet:
This trick can be useful in the right circumstances. It also illustrates how muchpower there is in a pandas command that “just” reads in an Excel file. The full notebookis available on github if you would like to try it out for yourself.