> For the complete documentation index, see [llms.txt](https://docs.trymito.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.trymito.io/how-to/transpose.md).

# Transpose

Convert your columns into rows, and rows into columns.

### Why transpose

Transposing data turns a dataframe's columns into rows, and rows into columns. Usually pandas dataframes are organized such that each row represents a record, transaction, object, etc., and each column represents a different attribute of those records. When your data is organized in the opposite orientation, using transpose is a helpful step in preparing your data. 

### How to transpose your data

To transpose a dataframe:

1. Select the dataframe that you want to transpose.
2. Select the `Insert` tab.
3. Click `Transpose`. 

The transpose operation creates a new dataframe in your Mito spreadsheet. It is named the name of the transposed dataframe appended with `_transposed`.

<figure><img src="https://2294704369-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-MP_U5ZCmiamDOXEOOTC%2Fuploads%2FcVxkFBu4P8lKi5P2jdSX%2FScreenshot%202023-11-28%20at%204.23.56%20PM.png?alt=media&amp;token=32df69c2-258d-4b06-a96f-84ebd41e61bb" alt=""><figcaption></figcaption></figure>


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