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Odo: Shapeshifting for your data Example Contents General Formats Developer Documentation
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Odo: Shapeshifting for your data

odo takes two arguments, a source and a target for a data transfer.

>>> from odo import odo
>>> odo(source, target)  # load source into target

It efficiently migrates data from the source to the target through a network of conversions.

odo network of conversions

Example

>>> from odo import odo
>>> import pandas as pd

>>> odo('accounts.csv', pd.DataFrame)  # Load csv file into DataFrame
      name  balance
0    Alice      100
1      Bob      200
2  Charlie      300

>>> # Load CSV file into Hive database
>>> odo('accounts.csv', 'hive://user:password@hostname/db::accounts')

Contents

General

.. toctree::
   :maxdepth: 1

   project-info
   overview
   uri
   datashape
   drop
   perf
   add-new-backend
   releases

Formats

.. toctree::
   :maxdepth: 1

   aws
   csv
   json
   hdf5
   hdfs
   hive
   mongo
   spark
   sas
   sql
   ssh

Developer Documentation

.. toctree::
   :maxdepth: 1

   type-modifiers
   functions

Odo is part of the Open Source Blaze projects supported by Continuum Analytics