[arch-commits] Commit in python-pandas/trunk (PKGBUILD)
Andrzej Giniewicz
aginiewicz at archlinux.org
Mon Feb 3 22:15:50 UTC 2020
Date: Monday, February 3, 2020 @ 22:15:49
Author: aginiewicz
Revision: 562001
upgpkg: python-pandas 1.0.0-1: python-pandas: new upstream release
Modified:
python-pandas/trunk/PKGBUILD
----------+
PKGBUILD | 39 ++++++++++++++++++++++-----------------
1 file changed, 22 insertions(+), 17 deletions(-)
Modified: PKGBUILD
===================================================================
--- PKGBUILD 2020-02-03 21:40:37 UTC (rev 562000)
+++ PKGBUILD 2020-02-03 22:15:49 UTC (rev 562001)
@@ -1,18 +1,20 @@
# Maintainer: Andrzej Giniewicz <gginiu at gmail.com>
# Contributor: Keith Hughitt <khughitt at umd.edu>
-# TODO: move python-xarray from AUR to community (converting Panels to xarray)
-# TODO: move python-pyarrow from AUR to community (Feather Format and Apache Parquet)
# TODO: move python-fastparque from AUR to community (Apache Parquet)
-# TODO: move python-s3fs from AUR to community (Amazon S3 access)
# TODO: move python-gcsfs from AUR to community (Google Cloud Storage access)
-# TODO: package pandas-gbq (Google BigQuery I/O)
+# TODO: move python-numba from AUR to community (Alternative execution engine)
+# TODO: package python-pandas-gbq (Google BigQuery I/O)
# TODO: package python-pyreadstat (SPSS files reading)
+# TODO: package python-pyxlsb (reading XLSB files)
+# TODO: move python-s3fs from AUR to community (Amazon S3 access)
+# TODO: move python-xarray from AUR to community (converting Panels to xarray)
+# TODO: move python-pyarrow from AUR to community (Feather Format and Apache Parquet)
pkgname=python-pandas
-pkgver=0.25.3
+pkgver=1.0.0
pkgrel=1
-pkgdesc="Library providing high-performance, easy-to-use data structures and data analysis tools"
+pkgdesc='High-performance, easy-to-use data structures and data analysis tools for Python'
arch=('x86_64')
url="https://pandas.pydata.org/"
license=('BSD')
@@ -21,26 +23,29 @@
optdepends=('python-pandas-datareader: pandas.io.data replacement (recommended)'
'python-numexpr: needed for accelerating certain numerical operations (recommended)'
'python-bottleneck: needed for accelerating certain types of nan evaluations (recommended)'
- 'python-scipy: needed for miscellaneous statistical functions'
+ 'python-beautifulsoup4: needed for read_html function'
+ 'python-jinja: needed for conditional HTML formatting'
+ 'python-pyqt5: needed for read_clipboard function (only one needed)'
'python-pytables: needed for HDF5-based storage'
'python-sqlalchemy: needed for SQL database support'
+ 'python-scipy: needed for miscellaneous statistical functions'
+ 'python-xlsxwriter: alternative Excel XLSX output'
+ 'python-blosc: for msgpack compression using blosc'
+ 'python-html5lib: needed for read_hmlt function (and/or python-lxml)'
+ 'python-lxml: needed for read_html function (and/or python-html5lib)'
'python-matplotlib: needed for plotting'
'python-openpyxl: needed for Excel XLSX input/output'
+ 'python-psycopg2: needed for PostgreSQL engine for sqlalchemy'
+ 'python-pymysql: needed for MySQL engine for sqlalchemy'
+ 'python-qtpy: needed for read_clipboard function (only one needed)'
+ 'python-tabulate: needed for printing in Markdown-friendly format'
+ 'xclip: needed for read_clipboard function (only one needed)'
'python-xlrd: needed for Excel XLS input'
'python-xlwt: needed for Excel XLS output'
- 'python-xlsxwriter: alternative Excel XLSX output'
- 'python-jinja: needed for conditional HTML formatting'
- 'python-blosc: for msgpack compression using blosc'
- 'python-qtpy: needed for read_clipboard function (only one needed)'
- 'python-pyqt5: needed for read_clipboard function (only one needed)'
'xsel: needed for read_clipboard function (only one needed)'
- 'xclip: needed for read_clipboard function (only one needed)'
- 'python-beautifulsoup4: needed for read_html function'
- 'python-lxml: needed for read_html function (and/or python-html5lib)'
- 'python-html5lib: needed for read_hmlt function (and/or python-lxml)'
'zlib: needed for compression for msgpack')
source=("https://github.com/pandas-dev/pandas/releases/download/v${pkgver}/pandas-${pkgver}.tar.gz")
-sha256sums=('52da74df8a9c9a103af0a72c9d5fdc8e0183a90884278db7f386b5692a2220a4')
+sha256sums=('3ea6cc86931f57f18b1240572216f09922d91b19ab8a01cf24734394a3db3bec')
build() {
cd "$srcdir"/pandas-${pkgver}
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