finance/py-pandas-market-calendars: New port: Market and exchange trading calendars for pandas

finance/Makefile

@@ -109,6 +109,7 @@
     SUBDIR += py-investpy
     SUBDIR += py-mplfinance
     SUBDIR += py-ofxparse
+    SUBDIR += py-pandas-market-calendars
     SUBDIR += py-pycoin
     SUBDIR += py-python-bitcoinlib
     SUBDIR += py-python-obelisk

finance/py-pandas-market-calendars/Makefile

+PORTNAME=	pandas-market-calendars
+DISTVERSIONPREFIX=	v
+DISTVERSION=	4.1.2
+CATEGORIES=	finance python
+#MASTER_SITES=	CHEESESHOP # no tests
+PKGNAMEPREFIX=	${PYTHON_PKGNAMEPREFIX}
+DISTNAME=	${PORTNAME:S/-/_/g}-${PORTVERSION}
+
+MAINTAINER=	yuri@FreeBSD.org
+COMMENT=	Market and exchange trading calendars for pandas
+WWW=		https://github.com/rsheftel/pandas_market_calendars
+
+LICENSE=	MIT
+LICENSE_FILE=	${WRKSRC}/LICENSE
+
+PY_DEPENDS=	${PYTHON_PKGNAMEPREFIX}dateutil>0:devel/py-dateutil@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}exchange-calendars>=3.3:finance/py-exchange-calendars@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}pandas>=1.1:math/py-pandas@${PY_FLAVOR} \
+		${PYTHON_PKGNAMEPREFIX}pytz>0:devel/py-pytz@${PY_FLAVOR}
+BUILD_DEPENDS=	${PY_DEPENDS}
+RUN_DEPENDS=	${PY_DEPENDS}
+
+USES=		python:3.8+
+USE_PYTHON=	distutils autoplist pytest
+
+USE_GITHUB=	yes
+GH_ACCOUNT=	rsheftel
+GH_PROJECT=	${PORTNAME:S/-/_/g}
+
+NO_ARCH=	yes
+
+.include <bsd.port.mk>

finance/py-pandas-market-calendars/distinfo

+TIMESTAMP = 1672016958
+SHA256 (rsheftel-pandas_market_calendars-v4.1.2_GH0.tar.gz) = f83ba62c8839130b103cad34e5de03074f8c1518afa944eebe9fbe755122d6bc
+SIZE (rsheftel-pandas_market_calendars-v4.1.2_GH0.tar.gz) = 209465

finance/py-pandas-market-calendars/pkg-descr

+The Pandas package is widely used in finance and specifically for time series
+analysis. It includes excellent functionality for generating sequences of dates
+and capabilities for custom holiday calendars, but as an explicit design choice
+it does not include the actual holiday calendars for specific exchanges or OTC
+markets.
+
+The pandas_market_calendars package looks to fill that role with the holiday,
+late open and early close calendars for specific exchanges and OTC conventions.
+pandas_market_calendars also adds several functions to manipulate the market
+calendars and includes a date_range function to create a pandas DatetimeIndex
+including only the datetimes when the markets are open. Additionally the package
+contains product specific calendars for future exchanges which have different
+market open, closes, breaks and holidays based on product type.