From 0010906808b47bd890a7f41abcdec1a7a5591879 Mon Sep 17 00:00:00 2001 From: Jeff Reback Date: Tue, 1 Aug 2017 16:09:22 -0400 Subject: [PATCH] CI: bump version of xlsxwriter to 0.5.2 (#17142) --- ci/install_travis.sh | 3 --- ci/requirements-2.7.pip | 2 ++ ci/requirements-2.7.run | 6 ++---- ci/requirements-2.7_COMPAT.pip | 2 ++ ci/requirements-2.7_COMPAT.run | 7 ++----- ci/requirements-2.7_LOCALE.pip | 2 ++ ci/requirements-2.7_LOCALE.run | 5 +---- ci/requirements-2.7_SLOW.run | 1 - ci/requirements-3.6.run | 2 +- ci/requirements-3.6_LOCALE.run | 2 +- ci/requirements-3.6_LOCALE_SLOW.run | 2 +- doc/source/install.rst | 3 ++- doc/source/whatsnew/v0.21.0.txt | 1 + pandas/core/nanops.py | 19 +++++++++++++++++-- 14 files changed, 34 insertions(+), 23 deletions(-) diff --git a/ci/install_travis.sh b/ci/install_travis.sh index 8cf6f2ce636da2..dcc1656ce3dd7a 100755 --- a/ci/install_travis.sh +++ b/ci/install_travis.sh @@ -52,9 +52,6 @@ conda update -q conda echo echo "[add channels]" -# add the pandas channel to take priority -# to add extra packages -conda config --add channels pandas || exit 1 conda config --remove channels defaults || exit 1 conda config --add channels defaults || exit 1 diff --git a/ci/requirements-2.7.pip b/ci/requirements-2.7.pip index eb796368e78209..876d9e978fa849 100644 --- a/ci/requirements-2.7.pip +++ b/ci/requirements-2.7.pip @@ -1,5 +1,7 @@ blosc pandas-gbq +html5lib +beautifulsoup4 pathlib backports.lzma py diff --git a/ci/requirements-2.7.run b/ci/requirements-2.7.run index 62e31e4ae24e37..7152cb2c8b605f 100644 --- a/ci/requirements-2.7.run +++ b/ci/requirements-2.7.run @@ -10,13 +10,11 @@ xlrd=0.9.2 sqlalchemy=0.9.6 lxml=3.2.1 scipy -xlsxwriter=0.4.6 +xlsxwriter=0.5.2 s3fs bottleneck -psycopg2=2.5.2 +psycopg2 patsy pymysql=0.6.3 -html5lib=1.0b2 -beautiful-soup=4.2.1 jinja2=2.8 xarray=0.8.0 diff --git a/ci/requirements-2.7_COMPAT.pip b/ci/requirements-2.7_COMPAT.pip index 9533a630d06a4d..13cd35a923124f 100644 --- a/ci/requirements-2.7_COMPAT.pip +++ b/ci/requirements-2.7_COMPAT.pip @@ -1,2 +1,4 @@ +html5lib==1.0b2 +beautifulsoup4==4.2.0 openpyxl argparse diff --git a/ci/requirements-2.7_COMPAT.run b/ci/requirements-2.7_COMPAT.run index d27b6a72c2d158..b94f4ab7b27d1a 100644 --- a/ci/requirements-2.7_COMPAT.run +++ b/ci/requirements-2.7_COMPAT.run @@ -4,13 +4,10 @@ pytz=2013b scipy=0.11.0 xlwt=0.7.5 xlrd=0.9.2 -bottleneck=0.8.0 numexpr=2.2.2 pytables=3.0.0 -html5lib=1.0b2 -beautiful-soup=4.2.0 -psycopg2=2.5.1 +psycopg2 pymysql=0.6.0 sqlalchemy=0.7.8 -xlsxwriter=0.4.6 +xlsxwriter=0.5.2 jinja2=2.8 diff --git a/ci/requirements-2.7_LOCALE.pip b/ci/requirements-2.7_LOCALE.pip index cf8e6b8b3d3a65..1b825bbf492ca9 100644 --- a/ci/requirements-2.7_LOCALE.pip +++ b/ci/requirements-2.7_LOCALE.pip @@ -1 +1,3 @@ +html5lib==1.0b2 +beautifulsoup4==4.2.1 blosc diff --git a/ci/requirements-2.7_LOCALE.run b/ci/requirements-2.7_LOCALE.run index 5d7cc31b7d55ed..8e360cf74b081c 100644 --- a/ci/requirements-2.7_LOCALE.run +++ b/ci/requirements-2.7_LOCALE.run @@ -3,12 +3,9 @@ pytz=2013b numpy=1.8.2 xlwt=0.7.5 openpyxl=1.6.2 -xlsxwriter=0.4.6 +xlsxwriter=0.5.2 xlrd=0.9.2 -bottleneck=0.8.0 matplotlib=1.3.1 sqlalchemy=0.8.1 -html5lib=1.0b2 lxml=3.2.1 scipy -beautiful-soup=4.2.1 diff --git a/ci/requirements-2.7_SLOW.run b/ci/requirements-2.7_SLOW.run index c2d2a14285ad6b..0a549554f5219e 100644 --- a/ci/requirements-2.7_SLOW.run +++ b/ci/requirements-2.7_SLOW.run @@ -13,7 +13,6 @@ pytables sqlalchemy lxml s3fs -bottleneck psycopg2 pymysql html5lib diff --git a/ci/requirements-3.6.run b/ci/requirements-3.6.run index ef66ebeb336f38..00db27d3f27040 100644 --- a/ci/requirements-3.6.run +++ b/ci/requirements-3.6.run @@ -16,7 +16,7 @@ sqlalchemy pymysql feather-format pyarrow -# psycopg2 (not avail on defaults ATM) +psycopg2 beautifulsoup4 s3fs xarray diff --git a/ci/requirements-3.6_LOCALE.run b/ci/requirements-3.6_LOCALE.run index ae456f4f9f38a0..ad54284c6f7e3d 100644 --- a/ci/requirements-3.6_LOCALE.run +++ b/ci/requirements-3.6_LOCALE.run @@ -15,7 +15,7 @@ jinja2 sqlalchemy pymysql # feather-format (not available on defaults ATM) -# psycopg2 (not avail on defaults ATM) +psycopg2 beautifulsoup4 s3fs xarray diff --git a/ci/requirements-3.6_LOCALE_SLOW.run b/ci/requirements-3.6_LOCALE_SLOW.run index 28131031f0bbd6..ad54284c6f7e3d 100644 --- a/ci/requirements-3.6_LOCALE_SLOW.run +++ b/ci/requirements-3.6_LOCALE_SLOW.run @@ -15,7 +15,7 @@ jinja2 sqlalchemy pymysql # feather-format (not available on defaults ATM) -# psycopg2 (not available on defaults ATM) +psycopg2 beautifulsoup4 s3fs xarray diff --git a/doc/source/install.rst b/doc/source/install.rst index 48d51e1200447f..c185a7cf4b875a 100644 --- a/doc/source/install.rst +++ b/doc/source/install.rst @@ -217,7 +217,8 @@ Recommended Dependencies If installed, must be Version 2.4.6 or higher. * `bottleneck `__: for accelerating certain types of ``nan`` - evaluations. ``bottleneck`` uses specialized cython routines to achieve large speedups. + evaluations. ``bottleneck`` uses specialized cython routines to achieve large speedups. If installed, + must be Version 1.0.0 or higher. .. note:: diff --git a/doc/source/whatsnew/v0.21.0.txt b/doc/source/whatsnew/v0.21.0.txt index 5c087473a6c6e8..b15b66e7b6a040 100644 --- a/doc/source/whatsnew/v0.21.0.txt +++ b/doc/source/whatsnew/v0.21.0.txt @@ -205,6 +205,7 @@ Other API Changes ^^^^^^^^^^^^^^^^^ - Support has been dropped for Python 3.4 (:issue:`15251`) +- Support has been dropped for bottleneck < 1.0.0 (:issue:`15214`) - The Categorical constructor no longer accepts a scalar for the ``categories`` keyword. (:issue:`16022`) - Accessing a non-existent attribute on a closed :class:`~pandas.HDFStore` will now raise an ``AttributeError`` rather than a ``ClosedFileError`` (:issue:`16301`) diff --git a/pandas/core/nanops.py b/pandas/core/nanops.py index 5bebb8eb65b23a..e2777cb56374e0 100644 --- a/pandas/core/nanops.py +++ b/pandas/core/nanops.py @@ -1,6 +1,8 @@ import itertools import functools import operator +import warnings +from distutils.version import LooseVersion import numpy as np from pandas import compat @@ -20,11 +22,24 @@ from pandas.core.config import get_option from pandas.core.common import _values_from_object +_BOTTLENECK_INSTALLED = False +_MIN_BOTTLENECK_VERSION = '1.0.0' + try: import bottleneck as bn - _BOTTLENECK_INSTALLED = True + ver = bn.__version__ + _BOTTLENCK_INSTALLED = ver >= LooseVersion(_MIN_BOTTLENECK_VERSION) + + if not _BOTTLENECK_INSTALLED: + warnings.warn( + "The installed version of bottleneck {ver} is not supported " + "in pandas and will be not be used\nThe minimum supported " + "version is {min_ver}\n".format( + ver=ver, min_ver=_MIN_BOTTLENECK_VERSION), UserWarning) + except ImportError: # pragma: no cover - _BOTTLENECK_INSTALLED = False + pass + _USE_BOTTLENECK = False