# Pandas ML Quant
The Pandas Machine Learning Quant module is not only a pure python reimplementation of the famous
[TA-Lib](http://mrjbq7.github.io/ta-lib/). There are also useful tools to plot data as well as to
train neural networks while you never need to leave the world of pandas.
## Installation
Follow the instructions on [https://github.com/KIC/pandas-ml-quant](https://github.com/KIC/pandas-ml-quant)
## Documentation
Check out the notebooks at [https://github.com/KIC/pandas-ml-quant/blob/master/notebooks](https://github.com/KIC/pandas-ml-quant/blob/master/notebooks)
pandas-ml-quant-0.1.1.tar.gz （66个子文件） 
pandas-ml-quant-0.1.1 
setup.py 1KB PKG-INFO 1KB pandas_ml_quant.egg-info 
SOURCES.txt 2KB top_level.txt 37B PKG-INFO 1KB requires.txt 276B dependency_links.txt 1B pandas_ml_quant_test __init__.py 0B encoders __init__.py 0B test__normalization.py 1KB test__gaf_encoding.py 752B test__gaf_candles.py 614B test__one_hot_encoding.py 2KB test__utils.py 503B data __init__.py 0B datafetching __init__.py 0B test__fetch.py 584B indicators __init__.py 0B test__autogression.py 2KB test__features.py 7KB labels __init__.py 0B test__descrete.py 797B test__continuous.py 0B config.py 374B licence.txt 1KB requirements.txt 227B dev-requirements.txt 41B MANIFEST.in 9B setup.cfg 79B pandas_ml_quant utils.py 1KB __init__.py 873B df __init__.py 0B plot.py 4KB quant.py 866B encoders __init__.py 111B candles.py 693B normalization.py 2KB one_hot.py 734B gramian_angular_field.py 1KB data __init__.py 0B datafetching __init__.py 61B fetch_cryptocompare.py 861B fetch_yahoo.py 2KB extern __init__.py 0B cryptocompare.py 5KB keras __init__.py 0B loss.py 4KB layers.py 4KB optimizer.py 9KB indicators __init__.py 840B auto_regression.py 2KB multi_object.py 6KB single_object.py 7KB labels __init__.py 71B discrete.py 1KB labels.py 1KB continuous.py 423B plots utils.py 504B __init__.py 87B candlestick.py 818B matrix.py 447B animations __init__.py 0B animate.py 0B line.py 328B bar.py 3KB Readme.md 587B资源评论
