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Fix cone, add back old holdings plot, refresh docs (#355)
* Use new version of empyrical * Show both holdings plots * Show both holdings plots * Fix cone * Use numpy to sample * Rerun zipline example * Refreshed readme
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README.md

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@@ -12,19 +12,12 @@ financial portfolios developed by
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At the core of pyfolio is a so-called tear sheet that consists of
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various individual plots that provide a comprehensive image of the
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performance of a trading algorithm. Here's an example tear sheet, which comes from the Zipline algorithm sample notebook:
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performance of a trading algorithm. Here's an example tear sheet analyzing returns, which comes from the Zipline algorithm sample notebook:
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![example tear 0](https://github.com/quantopian/pyfolio/raw/master/docs/example_tear_0.png "Example tear sheet created from a Zipline algo")
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![example tear 1](https://github.com/quantopian/pyfolio/raw/master/docs/example_tear_1.png "Example tear sheet created from a Zipline algo")
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![example tear 2](https://github.com/quantopian/pyfolio/raw/master/docs/example_tear_2.png)
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![example tear 3](https://github.com/quantopian/pyfolio/raw/master/docs/example_tear_3.png)
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![example tear 4](https://github.com/quantopian/pyfolio/raw/master/docs/example_tear_4.png)
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![example tear 6](https://github.com/quantopian/pyfolio/raw/master/docs/example_tear_6.png)
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![example tear 7](https://github.com/quantopian/pyfolio/raw/master/docs/example_tear_7.png)
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![example tear 5](https://github.com/quantopian/pyfolio/raw/master/docs/example_tear_5.png)
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See also [slides of a recent talk about pyfolio.](http://nbviewer.ipython.org/format/slides/github/quantopian/pyfolio/blob/master/pyfolio/examples/overview_slides.ipynb#/)
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See also [slides of a talk about pyfolio.](http://nbviewer.ipython.org/format/slides/github/quantopian/pyfolio/blob/master/pyfolio/examples/overview_slides.ipynb#/)
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## Installation
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