dx 1.0.2

Python wrapper for Data Explorer

dx

A Pythonic Data Explorer.

Install

For Python 3.8+:

pip install dx>=1.0.0

Usage

The dx library allows for enabling/disabling DEX media type visualization with dx.enable() and dx.display(data) by setting a custom IPython formatter.

import dx

dx.enable()

Example

import pandas as pd

# load randomized number/bool/string data
df = pd.read_csv('examples/sample_data.csv')
dx.display(df)

Pass index=True to visualize the .index values of a dataframe as well as the column/row values:

dx.display(df, index=True)

If you only wish to display a certain number of rows from the dataframe, use a context and specify the max rows (if set to None, all rows are used):

# To use the first 13 rows for visualization with dx
with pd.option_context('display.max_rows', 13):
  dx.display(df)

Develop

git clone https://github.com/noteable-io/dx
cd ./dx
pip install -e .

Code of Conduct

We follow the noteable.io code of conduct.

LICENSE

See LICENSE.md.