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Removed numerix after 17 months of deprecation warnings.
svn path=/trunk/matplotlib/; revision=8626
1 parent d0a307d commit 76a4df8

10 files changed

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CHANGELOG

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2010-08-12 Removed all traces of numerix module after 17 months of
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deprecation warnings. - EF
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2010-08-05 Added keyword arguments 'thetaunits' and 'runits' for polar
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plots. Fixed PolarAxes so that when it set default
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Formatters, it marked them as such. Fixed semilogx and

lib/matplotlib/numerix/__init__.py

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lib/matplotlib/numerix/_sp_imports.py

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lib/matplotlib/numerix/fft/__init__.py

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lib/matplotlib/numerix/linear_algebra/__init__.py

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lib/matplotlib/numerix/ma/__init__.py

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lib/matplotlib/numerix/mlab/__init__.py

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lib/matplotlib/numerix/random_array/__init__.py

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lib/matplotlib/rcsetup.py

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@@ -107,17 +107,6 @@ def validate_backend(s):
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else: return _validate_standard_backends(s)
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def validate_numerix(v):
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# 2009/02/24: start warning; later, remove all traces
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try:
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if v == 'obsolete':
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return v
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except ValueError:
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pass
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warnings.warn('rcParams key "numerix" is obsolete and has no effect;\n'
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' please delete it from your matplotlibrc file')
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validate_toolbar = ValidateInStrings('toolbar',[
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'None','classic','toolbar2',
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], ignorecase=True)
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defaultParams = {
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'backend' : ['Agg', validate_backend], # agg is certainly present
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'backend_fallback' : [True, validate_bool], # agg is certainly present
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#'numerix' : ['obsolete', validate_numerix],
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#'maskedarray' : ['obsolete', validate_maskedarray], #to be removed
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'toolbar' : ['toolbar2', validate_toolbar],
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'datapath' : [None, validate_path_exists], # handled by _get_data_path_cached
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'units' : [False, validate_bool],

setup.py

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'matplotlib.testing',
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'matplotlib.testing.jpl_units',
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'matplotlib.tests',
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# 'matplotlib.toolkits',
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'mpl_toolkits',
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'mpl_toolkits.mplot3d',
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'mpl_toolkits.axes_grid',
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'mpl_toolkits.axes_grid1',
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'mpl_toolkits.axisartist',
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'matplotlib.sphinxext',
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# The following are deprecated and will be removed.
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'matplotlib.numerix',
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'matplotlib.numerix.mlab',
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'matplotlib.numerix.ma',
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'matplotlib.numerix.linear_algebra',
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'matplotlib.numerix.random_array',
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'matplotlib.numerix.fft',
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'matplotlib.tri',
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]

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