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""" numerix imports numpy with some compatibility adjustments for old code that had been based on Numeric. It is deprecated and will go away soon. """ import sys, os, struct from matplotlib import rcParams, verbose import warnings msg = """ ********************************************************** matplotlib.numerix and all its subpackages are deprecated. They will be removed soon. Please use numpy instead. ********************************************************** """ warnings.warn(msg, DeprecationWarning) which = "numpy", "defaulted" # This is now the only choice try: import numpy.oldnumeric as numpy from numpy.oldnumeric import * except ImportError: import numpy from numpy import * print 'except asarray', asarray from _sp_imports import nx, infinity, rand, randn, isnan, all, any from _sp_imports import UInt8, UInt16, UInt32, Infinity try: from numpy.oldnumeric.matrix import Matrix except ImportError: Matrix = matrix version = 'numpy %s' % numpy.__version__ from numpy import nan from mlab import amin, amax newaxis = NewAxis from numpy import angle def typecode(a): return a.dtype.char def iscontiguous(a): return a.flags.contiguous def byteswapped(a): return a.byteswap() def itemsize(a): return a.itemsize verbose.report('numerix %s'%version) # a bug fix for blas numeric suggested by Fernando Perez matrixmultiply=dot asum = sum def _import_fail_message(module, version): """Prints a message when the array package specific version of an extension fails to import correctly. """ _dict = { "which" : which[0], "module" : module, "specific" : version + module } print """ The import of the %(which)s version of the %(module)s module, %(specific)s, failed. This is is either because %(which)s was unavailable when matplotlib was compiled, because a dependency of %(specific)s could not be satisfied, or because the build flag for this module was turned off in setup.py. If it appears that %(specific)s was not built, make sure you have a working copy of %(which)s and then re-install matplotlib. Otherwise, the following traceback gives more details:\n""" % _dict g = globals() l = locals() __import__('ma', g, l) __import__('fft', g, l) __import__('linear_algebra', g, l) __import__('random_array', g, l) __import__('mlab', g, l) la = linear_algebra ra = random_array