Commit f900d0b4 authored by syz's avatar syz Committed by CompPhysChris
Browse files

changes to development status, keywords, url, description, platform

parent 4a5bf428
......@@ -34,7 +34,7 @@ setup(
description='A suite of Python libraries for high performance scientific computing 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',
......@@ -47,17 +47,23 @@ 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',
url='https://pycroscopy.github.io/pycroscopy/index.html',
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,
platforms=['Linux', 'Mac OSX', 'Windows 10/8.1/8/7'],
# package_data={'sample':['dataset_1.dat']}
test_suite='nose.collector',
tests_require='Nose',
......
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