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setup.py
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setup.py
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# Copyright 2015 Bloomberg Finance L.P.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from __future__ import print_function
from setuptools import setup, find_packages
from jupyter_packaging import (
create_cmdclass,
install_npm,
ensure_targets,
combine_commands,
get_version,
skip_if_exists,
)
import os
from os.path import join as pjoin
from distutils import log
here = os.path.dirname(os.path.abspath(__file__))
# due to https://github.com/jupyterlab/jupyterlab/blob/136d2ec216ebfc429a696e6ee75fee5f8ead73e2/jupyterlab/federated_labextensions.py#L347
# we should not print out anything, otherwise setup.py --name gives noise
# log.set_verbosity(log.ERROR)
# log.info('setup.py entered')
# log.info('$PATH=%s' % os.environ['PATH'])
name = 'bqplot'
LONG_DESCRIPTION = """
BQPlot
======
Plotting system for the Jupyter notebook based on the interactive Jupyter widgets.
Installation
============
.. code-block:: bash
pip install bqplot
jupyter nbextension enable --py bqplot
Usage
=====
.. code-block:: python
from bqplot import pyplot as plt
import numpy as np
plt.figure(1)
n = 200
x = np.linspace(0.0, 10.0, n)
y = np.cumsum(np.random.randn(n))
plt.plot(x,y, axes_options={'y': {'grid_lines': 'dashed'}})
plt.show()
"""
# Get bqplot version
version = get_version(pjoin(name, '_version.py'))
js_dir = pjoin(here, 'js')
# Representative files that should exist after a successful build
jstargets = [
pjoin('share', 'jupyter', 'nbextensions', 'bqplot', 'index.js'),
pjoin('share', 'jupyter', 'labextensions', 'bqplot', 'package.json'),
]
data_files_spec = [
('share/jupyter/nbextensions/bqplot', 'share/jupyter/nbextensions/bqplot', '*.js'),
('share/jupyter/labextensions/bqplot/', 'share/jupyter/labextensions/bqplot/', '**'),
('etc/jupyter/nbconfig/notebook.d', 'etc/jupyter/nbconfig/notebook.d', 'bqplot.json'),
]
js_command = combine_commands(
install_npm(js_dir, build_dir='share/jupyter/', source_dir='js/src', build_cmd='build'), ensure_targets(jstargets),
)
# Adding "map_data" as package_data manually, this should not be needed because it's already
# specified in MANIFEST and include_package_data=True. This might be a bug in jupyter-packaging?
cmdclass = create_cmdclass('jsdeps', data_files_spec=data_files_spec, package_data_spec={"bqplot": ["map_data/*.json"]})
is_repo = os.path.exists(os.path.join(here, '.git'))
if is_repo:
cmdclass['jsdeps'] = js_command
else:
cmdclass['jsdeps'] = skip_if_exists(jstargets, js_command)
setup_args = dict(
name=name,
version=version,
description='Interactive plotting for the Jupyter notebook, using d3.js and ipywidgets.',
long_description=LONG_DESCRIPTION,
license='Apache',
author='The BQplot Development Team',
url='https://github.com/bloomberg/bqplot',
include_package_data=True,
cmdclass=cmdclass,
install_requires=[
'ipywidgets>=7.5.0',
'traitlets>=4.3.0',
'traittypes>=0.0.6',
'numpy>=1.10.4',
'pandas'],
packages=find_packages(exclude=["tests"]),
zip_safe=False,
keywords=[
'ipython',
'jupyter',
'widgets',
'graphics',
'plotting',
'd3',
],
classifiers=[
'Development Status :: 4 - Beta',
'Intended Audience :: Developers',
'Intended Audience :: Science/Research',
'Topic :: Multimedia :: Graphics',
'License :: OSI Approved :: Apache Software License',
'Programming Language :: Python :: 2',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.3',
'Programming Language :: Python :: 3.4',
'Programming Language :: Python :: 3.5',
],
)
setup(**setup_args)