Commit 2b925789 authored by syz's avatar syz
Browse files

Updated setup with keywords, development status, description

parent 5c46536a
......@@ -31,10 +31,10 @@ else:
setup(
name='pycroscopy',
version='0.59.2',
description='A suite of Python libraries for high performance scientific computing of microscopy data.',
description='Python library for scientific analysis of microscopy data',
long_description=long_description,
classifiers=[
'Development Status :: 2 - Pre-Alpha',
'Development Status :: 3 - Alpha',
'Environment :: Console',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: MIT License',
......@@ -47,16 +47,22 @@ setup(
'Programming Language :: Python :: Implementation :: CPython',
'Topic :: Scientific/Engineering :: Chemistry',
'Topic :: Scientific/Engineering :: Physics',
'Topic :: Scientific/Engineering :: Information Analysis',
],
keywords='scientific microscopy data analysis',
'Topic :: Scientific/Engineering :: Information Analysis'],
keywords=['EELS', 'STEM', 'TEM', 'XRD', 'AFM', 'SPM', 'STS', 'band excitation', 'BE', 'BEPS', 'Raman', 'NanoIR',
'ptychography', 'g-mode', 'general mode', 'electron microscopy', ' scanning probe', ' x-rays', 'probe',
'atomic force microscopy', 'SIMS', 'energy', 'spectroscopy', 'imaging', 'microscopy', 'spectra'
'characterization', 'spectrogram', 'hyperspectral', 'multidimensional', 'data format', 'universal',
'clustering', 'decomposition', 'curve fitting', 'data analysis PCA', ' SVD', ' NMF', ' DBSCAN', ' kMeans',
'machine learning', 'bayesian inference', 'fft filtering', 'signal processing', 'image cleaning',
'denoising', 'model', 'msa', 'quantification',
'png', 'tiff', 'hdf5', 'igor', 'ibw', 'dm3', 'oneview', 'KPFM', 'FORC', 'ndata',
'Asylum', 'MFP3D', 'Cypher', 'Omicron', 'Nion', 'Nanonis', 'FEI'],
packages=find_packages(exclude='tests'),
url='http://github.com/pycroscopy/pycroscopy',
license='MIT',
author='S. Somnath, C. R. Smith, N. Laanait',
author_email='pycroscopy@gmail.com',
# I don't remember how to do this correctly!!!. NL
install_requires=requirements,
# package_data={'sample':['dataset_1.dat']}
test_suite='nose.collector',
......
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