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Date: Mon, 26 Dec 2022 02:35:07 GMT
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To: ports-committers@FreeBSD.org, dev-commits-ports-all@FreeBSD.org,
dev-commits-ports-main@FreeBSD.org
From: Yuri Victorovich <yuri@FreeBSD.org>
Subject: git: 4a8fb590ff26 - main - finance/py-pandas-market-calendars: New port: Market and exchange trading calendars for pandas
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The branch main has been updated by yuri:
URL: https://cgit.FreeBSD.org/ports/commit/?id=4a8fb590ff26e8247fe52869a8fb709257f33adb
commit 4a8fb590ff26e8247fe52869a8fb709257f33adb
Author: Yuri Victorovich <yuri@FreeBSD.org>
AuthorDate: 2022-12-26 02:27:05 +0000
Commit: Yuri Victorovich <yuri@FreeBSD.org>
CommitDate: 2022-12-26 02:34:59 +0000
finance/py-pandas-market-calendars: New port: Market and exchange trading calendars for pandas
---
finance/Makefile | 1 +
finance/py-pandas-market-calendars/Makefile | 32 ++++++++++++++++++++++++++++
finance/py-pandas-market-calendars/distinfo | 3 +++
finance/py-pandas-market-calendars/pkg-descr | 13 +++++++++++
4 files changed, 49 insertions(+)
diff --git a/finance/Makefile b/finance/Makefile
index 56b715c4819c..6935f53bd964 100644
--- a/finance/Makefile
+++ b/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
diff --git a/finance/py-pandas-market-calendars/Makefile b/finance/py-pandas-market-calendars/Makefile
new file mode 100644
index 000000000000..61fddca5fff7
--- /dev/null
+++ b/finance/py-pandas-market-calendars/Makefile
@@ -0,0 +1,32 @@
+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>
diff --git a/finance/py-pandas-market-calendars/distinfo b/finance/py-pandas-market-calendars/distinfo
new file mode 100644
index 000000000000..6859adc19b45
--- /dev/null
+++ b/finance/py-pandas-market-calendars/distinfo
@@ -0,0 +1,3 @@
+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
diff --git a/finance/py-pandas-market-calendars/pkg-descr b/finance/py-pandas-market-calendars/pkg-descr
new file mode 100644
index 000000000000..ec58edf5ca93
--- /dev/null
+++ b/finance/py-pandas-market-calendars/pkg-descr
@@ -0,0 +1,13 @@
+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.