[Numpy-discussion] patch numarray.fromfuntion with optional type argument
Sebastian Haase
haase at msg.ucsf.edu
Thu Jun 16 11:14:38 CDT 2005
Hi,
Please tell if this patch is a good idea. (Use: For large image data we always
use Float32 and I thought it would be extra overhead if I first create
everything in Float64 and then have to convert to Float32 afterwards, myself)
haase at gorilla:~: diff -p ~/myCVS/numarray/Lib/generic.py
~/myCVS/numarray/Lib/generic.py.~1.74.~
*** /home/haase/myCVS/numarray/Lib/generic.py Thu Jun 16 11:04:10 2005
--- /home/haase/myCVS/numarray/Lib/generic.py.~1.74.~ Fri Apr 22 13:35:26
2005
*************** def indices(shape, type=None):
*** 1167,1179 ****
a = a.astype(type)
return a
! def fromfunction(function, dimensions, type=None): # from Numeric
"""fromfunction() returns an array constructed by calling function
on a tuple of number grids. The function should accept as many
arguments as there are dimensions which is a list of numbers
indicating the length of the desired output for each axis.
"""
! return apply(function, tuple(indices(dimensions,type)))
def _broadcast_or_resize(a, b):
try:
--- 1167,1179 ----
a = a.astype(type)
return a
! def fromfunction(function, dimensions): # from Numeric
"""fromfunction() returns an array constructed by calling function
on a tuple of number grids. The function should accept as many
arguments as there are dimensions which is a list of numbers
indicating the length of the desired output for each axis.
"""
! return apply(function, tuple(indices(dimensions)))
def _broadcast_or_resize(a, b):
try:
Thanks,
- Sebastian Haase
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