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Merge pull request #2194 from minrk/clean_nan...
Merge pull request #2194 from minrk/clean_nan Clean nan/inf in json_clean. The floating point values NaN and Infinity are not part of the JSON specification and causes some parsers to throw errors. Since our usage is only for things like the display of function defaults, we can use a basic string representation ('NaN', 'inf', etc) instead.

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numeric_formats.py
43 lines | 1.2 KiB | text/x-python | PythonLexer
# -*- coding: utf-8 -*-
"""
Extension for printing Numeric Arrays in flexible ways.
"""
from Numeric import ArrayType
def num_display(self,arg):
"""Display method for printing which treats Numeric arrays specially.
"""
# Non-numpy variables are printed using the system default
if type(arg) != ArrayType:
self._display(arg)
return
# Otherwise, we do work.
format = __IPYTHON__.runtime_rc.numarray_print_format
print 'NumPy array, format:',format
# Here is where all the printing logic needs to be implemented
print arg # nothing yet :)
def magic_format(self,parameter_s=''):
"""Specifies format of numerical output.
This command is similar to Ocave's format command.
"""
valid_formats = ['long','short']
if parameter_s in valid_formats:
self.runtime_rc.numarray_print_format = parameter_s
print 'Numeric output format is now:',parameter_s
else:
print 'Invalid format:',parameter_s
print 'Valid formats:',valid_formats
# setup default format
__IPYTHON__.runtime_rc.numarray_print_format = 'long'
# Bind our new functions to the interpreter
__IPYTHON__.__class__.magic_format = magic_format
__IPYTHON__.hooks.display = num_display