odo.pydata.orgOdo: Shapeshifting for your data — odo 0.5.0+26.g55cec3c documentation

odo latest Project Information Overview URI strings Data Types Drop Loading CSVs into SQL Databases Adding a new Backend Release Notes AWS CSV JSON HDF5 Hadoop File System Hive Metastore Mongo Spark/SparkSQL SAS SQL SSH Type Modifiers Four Operations odo Docs » Odo: Shapeshifting for your data Edit on GitHub Odo: Shapeshifting for your data ¶ odo takes two arguments, a source and a target for a data transfer.from odo import odoodo ( source , target ) # load source into target It efficiently migrates data from the source to the target through a network of conversions. Example ¶from odo import odoimport pandas as pdodo ( ’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 databaseodo ( ’accounts.csv’ , ’hive://user:password@hostname/db::accounts’ ) Contents ¶ General ¶ Project Information Overview URI strings Data Types Drop Loading CSVs into SQL Databases Adding a new Backend Release Notes Formats ¶ AWS CSV JSON HDF5 Hadoop File System Hive Metastore Mongo Spark/SparkSQL SAS SQL SSH Developer Documentation ¶ Type Modifiers Four Operations Odo is part of the Open Source Blaze projects supported by Continuum Analytics Next © Copyright 2015, Continuum Analytics. Revision 55cec3ca . Built with Sphinx using a theme provided by Read the Docs . Read the Docs v: latest Versions latest stable Downloads pdf htmlzip epub On Read the Docs Project Home Builds Free document hosting provided by Read the Docs...