This is an archival dump of old wiki content --- see scipy.org for current material

Defines a multi-dimensional array and useful procedures for Numerical computation.

### Functions

array: NumPy Array construction Return an array of all zeros Return an unitialized array Return shape of sequence or array Return number of dimensions Return number of elements in entire array or a certain dimension Construct array from (byte) string Select sub-arrays using sequence of indices Set sub-arrays using sequence of 1-D indices Set portion of arrays using a mask Return array with new shape Repeat elements of array Construct new array from indexed array tuple Correlate two 1-d arrays Search for element in 1-d array Total sum over a specified dimension Average, possibly weighted, over axis or array. Cumulative sum over a specified dimension Total product over a specified dimension Cumulative product over a specified dimension Logical and over an entire axis Logical or over an entire axis Tests if sequences are essentially equal

### More Functions:

arange: Return regularly spaced array Guarantee NumPy array Convolve two 1-d arrays Exchange axes Join arrays together Permute axes Sort elements of array Indices of sorted array Index of largest value Index of smallest value Innerproduct of two arrays Dot product (matrix multiplication) Outerproduct of two arrays Return array with arbitrary new shape Tuple of indices Construct array from universal function Return diagonal array Trace of array Dump array to file object (pickle) Return pickled string representing data Return array stored in file object Return array from pickled string Return array as 1-D Indices of nonzero elements for 1-D array Shape of array Construct array from binary result Elements of array where condition is true Clip array between two values Array of all ones 2-D identity array (matrix)

### (Universal) Math Functions

```add                    logical_or             exp
subtract               logical_xor            log
multiply               logical_not            log10
divide                 maximum                sin
divide_safe            minimum                sinh
conjugate              bitwise_and            sqrt
power                  bitwise_or             tan
absolute               bitwise_xor            tanh
negative               invert                 ceil
greater                left_shift             fabs
greater_equal          right_shift            floor
less                   arccos                 arctan2
less_equal             arcsin                 fmod
equal                  arctan                 hypot
not_equal              cos                    around
logical_and            cosh                   sign
arccosh                arcsinh                arctanh```

SciPy: NumpyDocstrings/numpy/core (last edited 2015-10-24 17:48:23 by anonymous)