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**Note**: For an actively maintained alternative, see https://github.com/maki-nage/distogram | ||
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Overview | ||
======== | ||
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Installation | ||
============ | ||
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``streamhist`` has not yet been uploaded to | ||
`PyPi <https://pypi.python.org/pypi>`__, as we are currently at the | ||
'pre-release' stage. Having said that you should be able to install it | ||
via ``pip`` directly from the GitHub repository with: | ||
``streamhist`` is `available on PyPI <https://pypi.org/project/streamhist/>`__. | ||
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.. code:: bash | ||
pip install streamhist | ||
You can also install the dev version via ``pip`` directly from the | ||
GitHub repository with: | ||
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.. code:: bash | ||
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cd streamhist | ||
python setup.py install | ||
Alternative | ||
=========== | ||
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For a more actively maintained alternative, see | ||
https://github.com/maki-nage/distogram | ||
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Testing | ||
======= | ||
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License | ||
======= | ||
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| Copyright © 2015 Carson Farmer [email protected] | ||
| Copyright © 2013 VividCortex | ||
| All rights reserved. MIT Licensed. | ||
| Copyright © 2013 BigML | ||
| Licensed under the Apache License, Version 2.0 | ||
Copyright © 2015 Carson Farmer [email protected] | ||
Copyright © 2013 VividCortex | ||
All rights reserved. MIT Licensed | ||
Copyright © 2013 BigML | ||
Licensed under the Apache License, Version 2.0 | ||
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Thanks | ||
====== | ||
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Thanks to `John Belmonte <https://github.com/belm0>`__ for major | ||
improvements in efficiency and accuracy of various histogram | ||
methods. |