Importing from other sources

Import any pandas dataframe into Mito.

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

• Oracle

• Sqlite

• PostgresSQL

• 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 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.

After getting this webpage data into a dataframe, simply import the dataframe 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 into Mito to begin to work with it.

Importing Dataframes