ContinuumIO/cdx

Name: cdx

Owner: Continuum Analytics, Inc.

Description: null

Created: 2012-04-11 13:31:16.0

Updated: 2017-09-17 17:31:50.0

Pushed: 2014-03-06 16:06:06.0

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Size: 10877

Language: CoffeeScript

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README

Continuum Data Explorer (CDX)

Installation

• clone this repository (https://github.com/ContinuumIO/cdx)
• install CDX python setup.py install

We recommend using Anaconda 1.8+ to setup Bokeh's and CDX's dependencies.

To start:

thon cdxlocal.py

Navigate to http://localhost:5030/cdx#cdx/<docname>. You can pick any document name for <docname>.

Start populating the IPython session with data! In the IPython cell, execute:

rt pandas as pd
 = pd.read_csv("cdx/remotedata/auto-mpg.csv")
rt statsmodels.api as sm
ley = sm.datasets.longley.load_pandas().data
odata = sm.datasets.macrodata.load_pandas().data
.cdx.namespace.populate()
.plot("weight", "mpg", "auto")
.plot("hp", "mpg", "auto")

If single cell is insufficient for effective work, you can connect an external IPython client to CDX session. For example, to start a console client issue (in a new terminal):

ython console --existing kernel-1.json