This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
Latest Version Dependencies status unknown Test status unknown Test coverage unknown
Project Description
======================
Pandas HBase IO Helper
======================

Persist pandas DataFrame objects to HBase and read them back later.

Known Issues:
- Works only with DataFrames that have integer indices.
- DataFrames to be persisted should not have ':' in column names

Writing DataFrame to HBase
--------------------------


Establish hbase connection using happybase and write the dataframe.

.. code-block:: python
import happybase
import numpy as np
import pandas as pd
import pdhbase as pdh
connection = None
try:
connection = happybase.Connection('127.0.0.1')
connection.open()
df = pd.DataFrame(np.random.randn(10, 5), columns=['a', 'b', 'c', 'd', 'e'])
df['f'] = 'hello world'
pdh.to_hbase(df, connection, 'sample_table', 'df_key', cf='cf')
finally:
if connection:
connection.close()


Reading DataFrame from HBase
----------------------------


Establish hbase connection using happybase and read the dataframe.

.. code-block:: python
import happybase
import numpy as np
import pandas as pd
import pdhbase as pdh
connection = None
try:
connection = happybase.Connection('127.0.0.1')
connection.open()
df = read_hbase(connection, 'sample_table', 'df_key', cf='cf')
print df
finally:
if connection:
connection.close()
Release History

Release History

0.1.0

This version

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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