| | | - alltrue = reduce(...)
- array(...)
- array(sequence, typecode=None, copy=1, savespace=0) will return a new array formed from the given (potentially nested) sequence with type given by typecode. If no typecode is given, then the type will be determined as the minimum type required to hold the objects in sequence. If copy is zero and sequence is already an array, a reference will be returned. If savespace is nonzero, the new array will maintain its precision in operations.
- choose(...)
- choose(a, (b1,b2,...))
- cross_correlate(...)
- cross_correlate(a,v)
- cumproduct = accumulate(...)
- cumsum = accumulate(...)
- fromstring(...)
- fromstring(string, count=None, typecode='l') returns a new 1d array initialized from the raw binary data in string. If count is not equal to None, the new array will have count elements, otherwise it's size is determined by the size of string.
- getWarpedLena(degf=3, degc=3, size=(64, 64))
- product = reduce(...)
- repeat(...)
- repeat(a, n, axis=0)
- reshape(...)
- reshape(a, (d1, d2, ..., dn)). Change the shape of a to be an n-dimensional array with dimensions given by d1...dn. One dimension is allowed to be None. This dimension will be set to whatever value will make the size of the new array equal the size of the old one. Note: the size specified for the new array must be exactly equal to the size of the old one or an error will occur. This returns a completely new array with the data of the old one copied. Use a.shape=(...) for no data copying.
- searchsorted = binarysearch(...)
- binarysearch(a,v)
- showEevol(listE)
- sometrue = reduce(...)
- sum = reduce(...)
- take(...)
- take(a, indices, axis=0). Selects the elements in indices from array a along the given axis.
- testFullT(p=None)
- testMOS(p=None)
- testTcycle()
- test_lena()
- zeros(...)
- zeros((d1,...,dn),typecode,savespace) will return a new array of shape (d1,...,dn) and type typecode (default 'l') with all it's entries initialized to zero. If savespace (default 0) is nonzero the array will be a spacesaver array.
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