pip install wquantiles==0.6
Weighted quantiles, including weighted median, based on numpy
SourceAmong top 5% packages on PyPI.
Over 21.7K downloads in the last 90 days.
wquantiles
Based on how often these packages appear together in public
requirements.txt
files on GitHub.
Common Utilities for EVEProsper Projects |
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pandas-highcharts is a Python package which allows you to easily build Highcharts plots with pandas.DataFrame objects. |
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Visualize node-link graphs using Graphistry's cloud |
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Python bindings for the Thalmic Labs Myo SDK |
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Event-driven data pipelines |
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HTML Entities for Python |
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A very simple WebOb based router |
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Use SQLAlchemy with CherryPy |
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Human Interaction API |
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Python wrapper for the arXiv API: http://arxiv.org/help/api/ |
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Toolkit for Python-based database access. |
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Async wrappers for standard Python io streams. |
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A lightweight convenient grid class |
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A standard INI style configuration parser. |
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A data extraction and transformation library for OpenStack notifications |
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None |
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Adds Mailgun support to Flask applications |
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Generate 64bit UUIDs |
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Micro-library to normalize text strings |
wquantiles
Proportion of downloaded versions in the last 3 months (only versions over 1%).
0.6 |
47.48% |
0.4 |
27.43% |
0.5 |
24.67% |