@@ -32,43 +32,14 @@ Although not required, we suggest also installing ``IPython`` for
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interactive use. To easily install a complete Scientific Python
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stack, see :ref: `install_scipy_dists ` below.
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- .. _installing_windows :
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-
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- Windows
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- -------
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-
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- In case Python 2.7 or 3.4 are not installed for all users,
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- the Microsoft Visual C++ 2008
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- (`64 bit <https://www.microsoft.com/en-us/download/details.aspx?id=15336 >`__
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- or
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- `32 bit <https://www.microsoft.com/en-us/download/details.aspx?id=29 >`__
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- for Python 2.7) or Microsoft Visual C++ 2010
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- (`64 bit <https://www.microsoft.com/en-us/download/details.aspx?id=14632 >`__
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- or
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- `32 bit <https://www.microsoft.com/en-us/download/details.aspx?id=5555 >`__
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- for Python 3.4) redistributable packages need to be installed.
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macOS
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-----
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- If you are using Python 2.7 on a Mac you may need to do::
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-
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- xcode-select --install
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-
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- so that *subprocess32 *, a dependency, may be compiled.
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-
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To use the native OSX backend you will need :ref: `a framework build
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<osxframework-faq>` build of Python.
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- Linux
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- -----
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-
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- On extremely old versions of Linux and Python 2.7 you may need to
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- install the master version of *subprocess32 * (`see comments
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- <https://github.com/google/python-subprocess32/issues/12#issuecomment-304724113> `__).
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-
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-
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Test Data
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---------
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@@ -167,7 +138,7 @@ Dependencies
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Matplotlib requires a large number of dependencies:
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- * `Python <https://www.python.org/downloads/ >`_ (>= 2.7 or >= 3.4 )
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+ * `Python <https://www.python.org/downloads/ >`_ (>= 3.5 )
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* `NumPy <http://www.numpy.org >`_ (>= |minimum_numpy_version |)
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* `setuptools <https://setuptools.readthedocs.io/en/latest/ >`__
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* `dateutil <https://pypi.python.org/pypi/python-dateutil >`_ (>= 2.1)
@@ -176,13 +147,9 @@ Matplotlib requires a large number of dependencies:
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* `pytz <http://pytz.sourceforge.net/ >`__
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* FreeType (>= 2.3)
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* `cycler <http://matplotlib.org/cycler/ >`__ (>= 0.10.0)
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- * `six <https://pypi.python.org/pypi/six >`_
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- * `backports.functools_lru_cache <https://pypi.python.org/pypi/backports.functools_lru_cache >`_
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- (for Python 2.7 only)
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- * `subprocess32 <https://pypi.python.org/pypi/subprocess32/ >`_ (for Python
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- 2.7 only, on Linux and macOS only)
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* `kiwisolver <https://github.com/nucleic/kiwi >`__ (>= 1.0.0)
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+
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Optionally, you can also install a number of packages to enable better user
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interface toolkits. See :ref: `what-is-a-backend ` for more details on the
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optional Matplotlib backends and the capabilities they provide.
@@ -325,8 +292,6 @@ without fiddling with environment variables::
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conda install pyqt
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# this package is only available in the conda-forge channel
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conda install -c conda-forge msinttypes
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- # for Python 2.7
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- conda install -c conda-forge backports.functools_lru_cache
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# copy the libs which have "wrong" names
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set LIBRARY_LIB=%CONDA_DEFAULT_ENV%\Library\lib
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