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ol p ^ n ~ . > N ^ n ~ . > N ^ n ~ r p set_string_function(f, repr=1) sets the python function f to be the function used to obtain a pretty printable string version of a array whenever a array is printed. f(M) should expect a array argument M, and should return a string consisting of the desired representation of M for printing. 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. arange(start, stop=None, step=1, typecode=None)
Just like range() except it returns an array whose type can be
specified by the keyword argument typecode. zeros((d1,...,dn),typecode='l',savespace=0) will return a new array of shape (d1,...,dn) and type typecode with all it's entries initialized to zero. If savespace is nonzero the array will be a spacesaver array. empty((d1,...,dn),typecode='l',savespace=0) will return a new array
of shape (d1,...,dn) and given type with all its entries uninitialized. If savespace is
nonzero, the array will be a spacesaver array. This can be faster than zeros. fromstring(string, typecode='l', count=-1) returns a new 1d array initialized from the raw binary data in string. If count is positive, the new array will have count elements, otherwise it's size is determined by the size of string. take(a, indices, axis=0). Selects the elements in indices from array a along the given axis. put(a, indices, values) sets a.flat[n] = v[n] for each n in indices. v can be scalar or shorter than indices, will repeat. putmask(a, mask, values) sets a.flat[n] = v[n] for each n where mask.flat[n] is true. v can be scalar. reshape(a, (d1, d2, ..., dn)). Change the shape of a to be an n-dimensional array with dimensions given by d1...dn. Note: the size specified for the new array must be exactly equal to the size of the old one or an error will occur. concatenate((a1,a2,...)). transpose(a, axes=None) repeat(a, n, axis=0) choose(a, (b1,b2,...)) sort(a) argsort(a) binarysearch(a,v) argmax(a) innerproduct(a,v) matrixproduct(a,v) _fastCopyAndTranspose(a) cross_correlate(a,v, mode=0) }^ 0 r r^ ? s ^ 0< u ^ Y @v ^ 9 w ^ p8 x ^ y ^ " y ^ @" z ^ ! z ^ P k{ ^ I { ^ S { ^ Y { ^ F { ^ pE { ^ 8 { _ % { _ 4 { _ @/
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