3.13 Mathematical functions in NumPy

 Mathematical functions in NumPy: -

  • We can perform arithmetic operations using various arithmetic functions such as add( ), subtract( ), multiply( ) and divide( ).
  • We can also apply many other mathematical functions like sqrt( ), exp( ), abs( ) etc. on the array elements.
  • The various functions that can be used on NumPy arrays are:

Function

Meaning

add(a, b)

Compute addition element-wise of two arrays

subtract(a, b)

Compute subtraction element-wise of two arrays

multiply(a, b)

Compute multiplication element-wise of two arrays

divide(a, b)

Returns true division of elements element-wise

power(a, b)

Returns power value element-wise (a raised to power b)

sum(x)

Returns sum of all elements in the array x

prod(x)

Returns product of all elements in the array x

min(x)

Returns smallest elements in the array x

max(x)

Returns largest elements in the array x

sqrt(x)

Compute square root element-wise of array x

abs(x)

Compute absolute value element-wise

log(x)

Compute logarithmic value element-wise

sin(x)

Compute sine value element-wise of array x

cos(x)

Compute cosine value element-wise of array x

tan(x)

Compute tangent value element-wise of array x

arcsin(x)

Compute sine inverse value element-wise of array x

arccos(x)

Compute cosine inverse value element-wise of array x

arctan(x)

Compute tangent inverse value element-wise of array x

 

                Example1: - arithmetic functions   


                Output: -


                Example 2: - Rounding, absolute and trigonometric functions


            Output: -


                Example 3: - Statistical Functions


            Output: -



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