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ci/requirements-2.7_COMPAT.build
@@ -1,5 +1,5 @@
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python=2.7*
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-numpy=1.7.1
+numpy=1.9.2
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cython=0.23
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dateutil=1.5
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pytz=2013b
ci/requirements-2.7_COMPAT.run
@@ -1,12 +1,12 @@
-scipy=0.11.0
+scipy=0.14.0
xlwt=0.7.5
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xlrd=0.9.2
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-bottleneck=0.8.0
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-numexpr=2.2.2
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-pytables=3.0.0
+bottleneck=1.0.0
+numexpr=2.4.6
+pytables=3.1.1
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html5lib=1.0b2
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beautiful-soup=4.2.0
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psycopg2=2.5.1
ci/requirements-2.7_LOCALE.build
python-dateutil
-numpy=1.8.2
ci/requirements-2.7_LOCALE.run
openpyxl=1.6.2
xlsxwriter=0.4.6
-matplotlib=1.3.1
+matplotlib=1.4.3
sqlalchemy=0.8.1
lxml=3.2.1
ci/requirements-2.7_SLOW.build
pytz
cython
ci/requirements-2.7_SLOW.run
@@ -1,7 +1,7 @@
scipy
patsy
xlwt
doc/source/install.rst
@@ -203,7 +203,7 @@ Dependencies
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------------
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* `setuptools <https://setuptools.readthedocs.io/en/latest/>`__
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-* `NumPy <http://www.numpy.org>`__: 1.7.1 or higher
+* `NumPy <http://www.numpy.org>`__: 1.9.0 or higher
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* `python-dateutil <http://labix.org/python-dateutil>`__: 1.5 or higher
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* `pytz <http://pytz.sourceforge.net/>`__: Needed for time zone support
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@@ -217,7 +217,7 @@ Recommended Dependencies
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If installed, must be Version 2.4.6 or higher.
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* `bottleneck <http://berkeleyanalytics.com/bottleneck>`__: for accelerating certain types of ``nan``
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- evaluations. ``bottleneck`` uses specialized cython routines to achieve large speedups.
+ evaluations. ``bottleneck`` uses specialized cython routines to achieve large speedups, Version 1.0.0 or higher.
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.. note::
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@@ -232,7 +232,7 @@ Optional Dependencies
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* `Cython <http://www.cython.org>`__: Only necessary to build development
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version. Version 0.23 or higher.
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-* `SciPy <http://www.scipy.org>`__: miscellaneous statistical functions
+* `SciPy <http://www.scipy.org>`__: miscellaneous statistical functions, Version 0.14.0 or higher
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* `xarray <http://xarray.pydata.org>`__: pandas like handling for > 2 dims, needed for converting Panels to xarray objects. Version 0.7.0 or higher is recommended.
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* `PyTables <http://www.pytables.org>`__: necessary for HDF5-based storage. Version 3.0.0 or higher required, Version 3.2.1 or higher highly recommended.
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* `Feather Format <https://github.com/wesm/feather>`__: necessary for feather-based storage, version 0.3.1 or higher.
@@ -242,7 +242,7 @@ Optional Dependencies
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* `pymysql <https://github.com/PyMySQL/PyMySQL>`__: for MySQL.
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* `SQLite <https://docs.python.org/3.5/library/sqlite3.html>`__: for SQLite, this is included in Python's standard library by default.
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-* `matplotlib <http://matplotlib.org/>`__: for plotting
+* `matplotlib <http://matplotlib.org/>`__: for plotting, Version 1.4.3 or higher.
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* For Excel I/O:
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* `xlrd/xlwt <http://www.python-excel.org/>`__: Excel reading (xlrd) and writing (xlwt)
doc/source/whatsnew/v0.21.0.txt
@@ -46,6 +46,26 @@ Other Enhancements
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Backwards incompatible API changes
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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+
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+.. _whatsnew_0210.api_breaking.deps:
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+Dependencies have increased minimum versions
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+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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+We have updated our minimum supported versions of dependencies (:issue:`15206`, :issue:`15543`, :issue:`15214`). We now require:
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+ +--------------+-----------------+
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+ | Package | Minimum Version |
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+ +======================+=========+
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+ | Numpy | 1.9.0 |
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+ | Matplotlib | 1.4.3 |
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+ | Scipy | 0.14.0 |
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+ | Bottleneck | 1.0.0 |
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.. _whatsnew_0210.api_breaking.pandas_eval:
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Improved error handling during item assignment in pd.eval
pandas/_libs/sparse.pyx
@@ -12,8 +12,6 @@ from distutils.version import LooseVersion
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# numpy versioning
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_np_version = np.version.short_version
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-_np_version_under1p8 = LooseVersion(_np_version) < '1.8'
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-_np_version_under1p9 = LooseVersion(_np_version) < '1.9'
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_np_version_under1p10 = LooseVersion(_np_version) < '1.10'
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_np_version_under1p11 = LooseVersion(_np_version) < '1.11'
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pandas/compat/numpy/__init__.py
@@ -9,19 +9,18 @@
_np_version = np.__version__
_nlv = LooseVersion(_np_version)
-_np_version_under1p8 = _nlv < '1.8'
-_np_version_under1p9 = _nlv < '1.9'
_np_version_under1p10 = _nlv < '1.10'
_np_version_under1p11 = _nlv < '1.11'
_np_version_under1p12 = _nlv < '1.12'
_np_version_under1p13 = _nlv < '1.13'
_np_version_under1p14 = _nlv < '1.14'
+_np_version_under1p15 = _nlv < '1.15'
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-if _nlv < '1.7.0':
+if _nlv < '1.9':
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raise ImportError('this version of pandas is incompatible with '
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- 'numpy < 1.7.0\n'
+ 'numpy < 1.9.0\n'
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'your numpy version is {0}.\n'
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- 'Please upgrade numpy to >= 1.7.0 to use '
+ 'Please upgrade numpy to >= 1.9.0 to use '
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'this pandas version'.format(_np_version))
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@@ -70,11 +69,10 @@ def np_array_datetime64_compat(arr, *args, **kwargs):
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__all__ = ['np',
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- '_np_version_under1p8',
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- '_np_version_under1p9',
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'_np_version_under1p10',
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'_np_version_under1p11',
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'_np_version_under1p12',
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'_np_version_under1p13',
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- '_np_version_under1p14'
+ '_np_version_under1p14',
+ '_np_version_under1p15'
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]