# Importing from other sources

Because Mito works seamlessly with Pandas dataframes, with only a bit of custom code, you can get any data you want into a mitosheet.

### Importing from a database

Here, we provide some internal links for reading from common databases into Pandas dataframes:

* [MySQL](https://pynative.com/python-mysql-select-query-to-fetch-data/)
* [Oracle](https://blogs.oracle.com/connect/post/run-sql-data-queries-pandas)
* [Sqlite](https://www.sqlite.org/index.html)
* [PostgresSQL](https://naysan.ca/2020/05/31/postgresql-to-pandas/)
* etc. Simply google "Reading {database name} into pandas dataframe" to get a tutorial for your database!

After getting the data from your database into a dataframe, simply [import the dataframe](/how-to/importing-data-to-mito/importing-dataframes.md) into Mito.

### Importing from a webpage

Pandas provides an easy solution for getting data from a webpage into a pandas dataframe, which you can then pass to Mito. See a tutorial that uses the `pd.read_html` function [here.](https://pbpython.com/pandas-html-table.html)

After getting this webpage data into a dataframe, simply [import the dataframe](/how-to/importing-data-to-mito/importing-dataframes.md) into Mito.

### Other connections

If you have data from a different data source you're looking to read into Mito, the first step is to get it into a pandas dataframe. Simply google "Reading {data source} into pandas dataframe," and you will most likely find an easy three-step tutorial for doing just this.

Then, after getting the data from your data source into a dataframe, simply [import the dataframe](/how-to/importing-data-to-mito/importing-dataframes.md) into Mito to begin to work with it.

{% content-ref url="/pages/j3IxecQBTPTIPbvEu9i1" %}
[Importing Dataframes](/how-to/importing-data-to-mito/importing-dataframes.md)
{% endcontent-ref %}


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