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Mito Docs
Getting Started
Installing Mito
Common Install Errors
Installing Mito Inside a Virtual Environment
Installing Mito in a Docker Container
Installing Mito in a Jupyter Notebook Directly
Overview of the Mitosheet
Feature Reference
Creating a Mitosheet
Importing Data into Mito
Search for Functionality
Pivot Tables
Filter Data
Summary Statistics
Type Changes
Graphing
Using Spreadsheet Formulas
Editing Individual Cells
Merging/Diffing Datasets
Concatenate Dataframes
Sort Data
Deleting Columns
Deduplicate
Formatting
Exporting to CSV & Excel
Using the Generated Code
Upgrading Mito
How To
Create a line chart of time series data
Delete Columns with Missing Values
Use the Mito Generated Code outside of JupyterLab
Exploratory Data Analysis
Create a Bar Chart
Misc
Videos
Release Notes
FAQ
Terms of Service
Privacy Policy
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Installing Mito Inside a Virtual Environment
Installing Mito Inside a Virtual Environment can help fix installation problems.
Python Virtual Environment
Conda Virtual Environment
First, create a new environment:
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python3 -m venv mitoenv
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Then, activate the environment. On Windows in command prompt:
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mitoenv\Scripts\activate.bat
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On Mac:
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source mitoenv/bin/activate
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Then, install the Mito installer:
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python -m pip install mitoinstaller
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Then, run it:
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python -m mitoinstaller install
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Installing Mito in a Conda virtual environment

First, create a new conda environment:
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conda create -n mitoenv python=3.8
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Then, activate your new environment:
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conda activate mitoenv
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Then, download the Mito package:
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python -m pip install mitoinstaller
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Then, run the installer. This command may take a few moments to run:
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python -m mitoinstaller install
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After installing, you can create your first Mitosheet:
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Installing Mito in a Docker Container
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