kodingwindow@kw:~$ python3
...
>>> from numpy import *
>>> arr = array([25, 27, 25, 1, 0, -1, 3.14])

>>> sum(arr)
80.14

>>> prod(arr)
-0.0

>>> min(arr)
-1.0

>>> max(arr)
27.0

>>> argmin(arr)
5

>>> argmax(arr)
1

>>> unique(arr)
array([-1.  ,  0.  ,  1.  ,  3.14, 25.  , 27.  ])

>>> sort(arr)
array([-1.  ,  0.  ,  1.  ,  3.14, 25.  , 25.  , 27.  ])

>>> log(arr)
<stdin>:1: RuntimeWarning: divide by zero encountered in log
<stdin>:1: RuntimeWarning: invalid value encountered in log
array([3.21887582, 3.29583687, 3.21887582, 0.        ,       -inf,
              nan, 1.1442228 ])

>>> abs(arr)
array([25.  , 27.  , 25.  ,  1.  ,  0.  ,  1.  ,  3.14])

>>> sqrt(arr)
<stdin>:1: RuntimeWarning: invalid value encountered in sqrt
array([5.        , 5.19615242, 5.        , 1.        , 0.        ,
              nan, 1.77200451])

>>> power(arr,0)
array([1., 1., 1., 1., 1., 1., 1.])

>>> exp(arr)
array([7.20048993e+10, 5.32048241e+11, 7.20048993e+10, 2.71828183e+00,
       1.00000000e+00, 3.67879441e-01, 2.31038669e+01])

>>> mean(arr)
11.448571428571428

>>> median(arr)
3.14

>>> var(arr)
153.3387265306122

>>> cov(arr)
array(178.89518095)

>>> std(arr)
12.38300151540862
>>> arr1 = array([1, -1, 3.14, "Kodingwindow", 'K'])
>>> arr2 = array([0, 'W'])

>>> concatenate([arr1, arr2])
array(['1', '-1', '3.14', 'Kodingwindow', 'K', '0', 'W'], dtype='<U32')

>>> from numpy import *
>>> arr = array([25, 27, 25, 1, 0, -1, 3.14])

>>> sin(arr)
array([-0.13235175,  0.95637593, -0.13235175,  0.84147098,  0.        ,
       -0.84147098,  0.00159265])

>>> cos(arr)
array([ 0.99120281, -0.29213881,  0.99120281,  0.54030231,  1.        ,
        0.54030231, -0.99999873])

>>> tan(arr)
array([-1.33526407e-01, -3.27370380e+00, -1.33526407e-01,  1.55740772e+00,
        0.00000000e+00, -1.55740772e+00, -1.59265494e-03])

>>> arcsin(arr)
array([        nan,         nan,         nan,  1.57079633,  0.        ,
       -1.57079633,         nan])

>>> arccos(arr)
array([       nan,        nan,        nan, 0.        , 1.57079633,
       3.14159265,        nan])

>>> arctan(arr)
array([ 1.53081764,  1.53377621,  1.53081764,  0.78539816,  0.        ,
       -0.78539816,  1.26248066])