From fd2664428b3466a44aa5181ce747f1534fb46f3e Mon Sep 17 00:00:00 2001 From: Phillip Cloud Date: Sat, 27 Jun 2015 11:52:52 -0400 Subject: [PATCH] Add odo to ecosystem docs --- doc/source/ecosystem.rst | 24 ++++++++++++++++-------- 1 file changed, 16 insertions(+), 8 deletions(-) diff --git a/doc/source/ecosystem.rst b/doc/source/ecosystem.rst index c70b6deade36e..26ff9ec536c45 100644 --- a/doc/source/ecosystem.rst +++ b/doc/source/ecosystem.rst @@ -132,19 +132,19 @@ Pandas DataFrames with timeseries indexes. `pydatastream `_ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -PyDatastream is a Python interface to the +PyDatastream is a Python interface to the `Thomson Dataworks Enterprise (DWE/Datastream) `__ -SOAP API to return indexed Pandas DataFrames or Panels with financial data. +SOAP API to return indexed Pandas DataFrames or Panels with financial data. This package requires valid credentials for this API (non free). `pandaSDMX `_ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -pandaSDMX is an extensible library to retrieve and acquire statistical data -and metadata disseminated in -`SDMX `_ 2.1. This standard is currently supported by +pandaSDMX is an extensible library to retrieve and acquire statistical data +and metadata disseminated in +`SDMX `_ 2.1. This standard is currently supported by the European statistics office (Eurostat) -and the European Central Bank (ECB). Datasets may be returned as pandas Series -or multi-indexed DataFrames. +and the European Central Bank (ECB). Datasets may be returned as pandas Series +or multi-indexed DataFrames. `fredapi `_ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ @@ -183,8 +183,16 @@ Out-of-core ------------- `Blaze `__ -~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Blaze provides a standard API for doing computations with various in-memory and on-disk backends: NumPy, Pandas, SQLAlchemy, MongoDB, PyTables, PySpark. + +`Odo `__ +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +Odo provides a uniform API for moving data between different formats. It uses +pandas own ``read_csv`` for CSV IO and leverages many existing packages such as +PyTables, h5py, and pymongo to move data between non pandas formats. Its graph +based approach is also extensible by end users for custom formats that may be +too specific for the core of odo.