surfs-up

Some things I like to use when I am surfing through data.

Installation

pip install surfs-up

Basic Usage

from dropin import SimplePipeline, RavelPreProcessor, CorrelationModel
import numpy as np

im = np.random.randn(5, 100, 100) > 1

RavelPreProcessor.fit_transform(im).sum(axis=1)/100

array([ 15.98,  15.94,  15.36,  15.65,  16.26])

autocorrelation_result = CorrelationModel(sz=(100,100), s=(150, 150,)).fit_transform(im);

import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
plt.pcolor(np.fft.fftshift(autocorrelation_result[0]));

Development

Running the Build and Tests

pip install -r requirements-dev.txt
python setup.py develop
watchmedo tricks tricks.yaml

The watchmedo script will convert your notebooks to scripts and html files. py.test-ipynb will test all notebooks matching test-*.ipynb.

Running the docs

jekyll serve docs -wit

Docs are hosted at http://localhost:4000/magical-magic/.

License

surfs-up is released as free software under the BSD 3-Clause license.