numpy.oldnumeric.arrayfns
index
/usr/lib/python2.6/dist-packages/numpy/oldnumeric/arrayfns.py

Backward compatible with arrayfns from Numeric

 
Modules
       
numpy

 
Classes
       
Exception(BaseException)
error

 
class error(Exception)
    
Method resolution order:
error
Exception
BaseException
object

Data descriptors defined here:
__weakref__
list of weak references to the object (if defined)

Methods inherited from Exception:
__init__(...)
x.__init__(...) initializes x; see x.__class__.__doc__ for signature

Data and other attributes inherited from Exception:
__new__ = <built-in method __new__ of type object at 0x8108c0>
T.__new__(S, ...) -> a new object with type S, a subtype of T

Methods inherited from BaseException:
__delattr__(...)
x.__delattr__('name') <==> del x.name
__getattribute__(...)
x.__getattribute__('name') <==> x.name
__getitem__(...)
x.__getitem__(y) <==> x[y]
__getslice__(...)
x.__getslice__(i, j) <==> x[i:j]
 
Use of negative indices is not supported.
__reduce__(...)
__repr__(...)
x.__repr__() <==> repr(x)
__setattr__(...)
x.__setattr__('name', value) <==> x.name = value
__setstate__(...)
__str__(...)
x.__str__() <==> str(x)
__unicode__(...)

Data descriptors inherited from BaseException:
__dict__
args
message

 
Functions
       
array_set(vals1, indices, vals2)
construct3(mask, itype)
find_mask(fs, node_edges)
histogram = bincount(...)
bincount(x, weights=None)
 
Return the number of occurrences of each value in array of nonnegative
integers.
 
The output, b[i], represents the number of times that i is found in `x`.
If `weights` is specified, every occurrence of i at a position p
contributes `weights` [p] instead of 1.
 
Parameters
----------
x : array_like, 1 dimension, nonnegative integers
    Input array.
weights : array_like, same shape as `x`, optional
    Weights.
 
See Also
--------
histogram, digitize, unique
index_sort(arr)
interp(y, x, z, typ=None)
y(z) interpolated by treating y(x) as piecewise function
nz(x)
reverse(x, n)
span(lo, hi, num, d2=0)
to_corners(arr, nv, nvsum)
zmin_zmax(z, ireg)

 
Data
        __all__ = ['array_set', 'construct3', 'digitize', 'error', 'find_mask', 'histogram', 'index_sort', 'interp', 'nz', 'reverse', 'span', 'to_corners', 'zmin_zmax']
__file__ = '/usr/lib/python2.6/dist-packages/numpy/oldnumeric/arrayfns.pyc'
__name__ = 'numpy.oldnumeric.arrayfns'
__package__ = 'numpy.oldnumeric'