finance/py-alphalens: Update to 0.2.1

New features since 0.1.0:
- Added event study analysis: an event study is a statistical method
  to assess the impact of a particular event on the value of equities
  and it is now possible to perform this analysis through the API
  alphalens.tears.create_event_study_tear_sheet. Check out the
  relative NoteBook in the example folder.
- Added support for group neutral factor analysis (group_neutral
  argument): this affects the return analysis that is now able to
  compute returns statistics for each group independently and
  aggregate them together assuming a portfolio where each group has
  equal weight.
- utils.get_clean_factor_and_forward_returns has a new parameter
  max_loss that controls how much data the function is allowed to drop
  due to not having enough price data or due to binning errors
  (pandas.qcut). This gives the users more control on what is
  happening and also avoid the function to raise an exception if the
  binning doesn't go well on some values.
- Greatly improved API documentation

3 files changed, 37 insertions, 29 deletions

diff --git a/finance/py-alphalens/Makefile b/finance/py-alphalens/Makefile
index 61717c0a622..31b8a53bccb 100644
--- a/finance/py-alphalens/Makefile
+++ b/finance/py-alphalens/Makefile
@@ -1,23 +1,24 @@
-# $NetBSD: Makefile,v 1.1 2017/09/16 21:31:35 minskim Exp $
+# $NetBSD: Makefile,v 1.2 2018/02/02 20:17:54 minskim Exp $
 
-DISTNAME=	alphalens-0.1.1
+DISTNAME=	alphalens-0.2.1
 PKGNAME=	${PYPKGPREFIX}-${DISTNAME}
 CATEGORIES=	finance
 MASTER_SITES=	${MASTER_SITE_GITHUB:=quantopian/}
 GITHUB_PROJECT=	alphalens
-GITHUB_TAG=	v0.1.1
+GITHUB_TAG=	v${PKGVERSION_NOREV}
 
 MAINTAINER=	minskim@NetBSD.org
 HOMEPAGE=	https://github.com/quantopian/alphalens/
 COMMENT=	Performance analysis of predictive stock factors
 LICENSE=	apache-2.0
 
-DEPENDS+=	${PYPKGPREFIX}-matplotlib-[0-9]*:../../graphics/py-matplotlib
-DEPENDS+=	${PYPKGPREFIX}-numpy-[0-9]*:../../math/py-numpy
-DEPENDS+=	${PYPKGPREFIX}-pandas-[0-9]*:../../math/py-pandas
-DEPENDS+=	${PYPKGPREFIX}-scipy-[0-9]*:../../math/py-scipy
-DEPENDS+=	${PYPKGPREFIX}-seaborn-[0-9]*:../../graphics/py-seaborn
-DEPENDS+=	${PYPKGPREFIX}-statsmodels-[0-9]*:../../math/py-statsmodels
+DEPENDS+=	${PYPKGPREFIX}-ipython>=3.2.3:../../devel/py-ipython
+DEPENDS+=	${PYPKGPREFIX}-matplotlib>=1.4.0:../../graphics/py-matplotlib
+DEPENDS+=	${PYPKGPREFIX}-numpy>=1.9.1:../../math/py-numpy
+DEPENDS+=	${PYPKGPREFIX}-pandas>=0.18.0:../../math/py-pandas
+DEPENDS+=	${PYPKGPREFIX}-scipy>=0.14.0:../../math/py-scipy
+DEPENDS+=	${PYPKGPREFIX}-seaborn>=0.6.0:../../graphics/py-seaborn
+DEPENDS+=	${PYPKGPREFIX}-statsmodels>=0.6.1:../../math/py-statsmodels
 
 .include "../../lang/python/egg.mk"
 .include "../../mk/bsd.pkg.mk"
diff --git a/finance/py-alphalens/PLIST b/finance/py-alphalens/PLIST
index 9bb2410cce2..f73282ddd4a 100644
--- a/finance/py-alphalens/PLIST
+++ b/finance/py-alphalens/PLIST
@@ -1,20 +1,16 @@
-@comment $NetBSD: PLIST,v 1.1 2017/09/16 21:31:35 minskim Exp $
+@comment $NetBSD: PLIST,v 1.2 2018/02/02 20:17:54 minskim Exp $
 ${PYSITELIB}/${EGG_INFODIR}/PKG-INFO
 ${PYSITELIB}/${EGG_INFODIR}/SOURCES.txt
 ${PYSITELIB}/${EGG_INFODIR}/dependency_links.txt
 ${PYSITELIB}/${EGG_INFODIR}/requires.txt
 ${PYSITELIB}/${EGG_INFODIR}/top_level.txt
 ${PYSITELIB}/alphalens/__init__.py
-${PYSITELIB}/alphalens/__init__.pyo
 ${PYSITELIB}/alphalens/__init__.pyc
-${PYSITELIB}/alphalens/performance.pyo
-${PYSITELIB}/alphalens/performance.pyc
-${PYSITELIB}/alphalens/plotting.pyo
-${PYSITELIB}/alphalens/plotting.pyc
-${PYSITELIB}/alphalens/tears.pyo
-${PYSITELIB}/alphalens/tears.pyc
-${PYSITELIB}/alphalens/utils.pyo
-${PYSITELIB}/alphalens/utils.pyc
+${PYSITELIB}/alphalens/__init__.pyo
+${PYSITELIB}/alphalens/_version.py
+${PYSITELIB}/alphalens/_version.pyc
+${PYSITELIB}/alphalens/_version.pyo
+${PYSITELIB}/alphalens/examples/event_study.ipynb
 ${PYSITELIB}/alphalens/examples/ic_tear.png
 ${PYSITELIB}/alphalens/examples/predictive_vs_non-predictive_factor.ipynb
 ${PYSITELIB}/alphalens/examples/returns_tear.png
@@ -22,15 +18,26 @@ ${PYSITELIB}/alphalens/examples/sector_tear.png
 ${PYSITELIB}/alphalens/examples/table_tear.png
 ${PYSITELIB}/alphalens/examples/tear_sheet_walk_through.ipynb
 ${PYSITELIB}/alphalens/performance.py
+${PYSITELIB}/alphalens/performance.pyc
+${PYSITELIB}/alphalens/performance.pyo
 ${PYSITELIB}/alphalens/plotting.py
+${PYSITELIB}/alphalens/plotting.pyc
+${PYSITELIB}/alphalens/plotting.pyo
 ${PYSITELIB}/alphalens/tears.py
+${PYSITELIB}/alphalens/tears.pyc
+${PYSITELIB}/alphalens/tears.pyo
 ${PYSITELIB}/alphalens/tests/__init__.py
-${PYSITELIB}/alphalens/tests/__init__.pyo
 ${PYSITELIB}/alphalens/tests/__init__.pyc
-${PYSITELIB}/alphalens/tests/test_performance.pyo
-${PYSITELIB}/alphalens/tests/test_performance.pyc
-${PYSITELIB}/alphalens/tests/test_utils.pyo
-${PYSITELIB}/alphalens/tests/test_utils.pyc
+${PYSITELIB}/alphalens/tests/__init__.pyo
 ${PYSITELIB}/alphalens/tests/test_performance.py
+${PYSITELIB}/alphalens/tests/test_performance.pyc
+${PYSITELIB}/alphalens/tests/test_performance.pyo
+${PYSITELIB}/alphalens/tests/test_tears.py
+${PYSITELIB}/alphalens/tests/test_tears.pyc
+${PYSITELIB}/alphalens/tests/test_tears.pyo
 ${PYSITELIB}/alphalens/tests/test_utils.py
+${PYSITELIB}/alphalens/tests/test_utils.pyc
+${PYSITELIB}/alphalens/tests/test_utils.pyo
 ${PYSITELIB}/alphalens/utils.py
+${PYSITELIB}/alphalens/utils.pyc
+${PYSITELIB}/alphalens/utils.pyo
diff --git a/finance/py-alphalens/distinfo b/finance/py-alphalens/distinfo
index b6c7469bd19..390d1d4d85c 100644
--- a/finance/py-alphalens/distinfo
+++ b/finance/py-alphalens/distinfo
@@ -1,6 +1,6 @@
-$NetBSD: distinfo,v 1.1 2017/09/16 21:31:35 minskim Exp $
+$NetBSD: distinfo,v 1.2 2018/02/02 20:17:54 minskim Exp $
 
-SHA1 (alphalens-0.1.1.tar.gz) = 1d48a690c2fa740194ea1d496bc646108cabef7b
-RMD160 (alphalens-0.1.1.tar.gz) = b3613b353d7703a607e738db2eb4bb15bc0e14a3
-SHA512 (alphalens-0.1.1.tar.gz) = 08dcc25061afe05e0fe9da1aae1cbcf7f9782d9c392f05cc3304e02a750e1270f2612c1eb857db6d754774eb4e18cc1de9a9117b8210aed2af7ac9107dacd0ac
-Size (alphalens-0.1.1.tar.gz) = 12304162 bytes
+SHA1 (alphalens-0.2.1.tar.gz) = 820dbf3cad9896db011881c76a82d80ba696ded0
+RMD160 (alphalens-0.2.1.tar.gz) = 0851766003f7718f9a04e982eb6537c0d623497f
+SHA512 (alphalens-0.2.1.tar.gz) = 9b12cfb0564b9e10f756a785c98bc5952dadfa5c872fc211ad56fff15d1abd163ec8684d965d7964f913cf192dd9b7c1f477f2423ee3c450a30f7f33749d21ec
+Size (alphalens-0.2.1.tar.gz) = 9396744 bytes