# Transpose

### 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="/files/R3wXTbXSe5hrsImcq1W0" alt=""><figcaption></figcaption></figure>


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.trymito.io/how-to/transpose.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.