data_xray 0.2.0.dev0

Pythonic cure for the common data problem

Data-Xray provides a Pythonic interface to organization and analysis of data, acquired primarily with Nanonis controllers, manufactured by Specs GmbH.

The primary emphasis at the moment is on scanning probe microscopy measurements, but most of the analysis applies to other domains of hyperspectral data.

Data organization is achieved through the use of xarray structure - which is an ingenious extension of Pandas phenomenology onto arbitrary dimensions.

Data-Xray draws upon many truly excellent python libraries, for which we as developers are phenomenally greatful.

Installation / Setup

Use pip to install the library:

pip install data-xray

Testing

There are a few ways to run the unit tests.

One option is to use the shell script in the root of the repository called test.example.sh. Copy it using cp test.example.sh test.sh. Edit test.sh to include your Cicero API username and password. Then, run the tests using ./test.sh.

Another option is to edit the test/tests.py file directly, adding your Cicero API credentials where indicated. Doing so will allow you to execute tests using nosetests (if you have the nose package installed), or using python setup.py test, or invoking the tests.py file itself.

Documentation

Help!

License

data-xray is licensed under the Apache 2.0 license. See LICENSE.txt for more details.

Contribute

See a bug? Want to improve the docs or provide more examples? Thank you! Please open a pull-request with your improvements and we’ll work to respond to it in a timely manner.