Basic Numpy Array Operations.
Table Of Contents:
- addition,
- subtraction,
- multiplication,
- division
- sum( )
(1) Numpy Addition
- You can use ‘+’ operator for addition operation.
Example:
data = np.array([1, 2])
dataarray([1, 2])ones = np.ones(2, dtype=int)
onesarray([1, 1])data + onesOutput:
array([2, 3])(2) Numpy Substraction
- You can use ‘-‘ operator for subtraction operation.
Example:
data = np.array([1, 2])
dataarray([1, 2])ones = np.ones(2, dtype=int)
onesarray([1, 1])data - onesOutput:
array([0, 1])(3) Numpy Multiplication
- You can use ‘*’ operator for multiplication operation.
Example:
data = np.array([1, 2])
dataarray([1, 2])ones = np.ones(2, dtype=int)
onesarray([1, 1])data * onesOutput:
array([1, 2])(4) Numpy Division
- You can use ‘/’ operator for division operation.
Example:
data = np.array([1, 2])
dataarray([1, 2])ones = np.ones(2, dtype=int)
onesarray([1, 1])data / onesOutput:
array([1., 2.])(5) Numpy sum()
- sum() method is used to add the individual elements of an array.
- This works for 1D arrays, 2D arrays, and arrays in higher dimensions.
- You can mention the axis as ‘row’ or ‘column’ , that you want to sum.
Example-1:
a = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])
a.sum()Output:
55Example-2:Default Sum
b = np.array([[1, 1], [2, 2]])
barray([[1, 1],
[2, 2]])b.sum()Output:
6Example-3: Column Wise Sum
b.sum(axis=0)array([3, 3])Example-4: Row Wise Sum
b.sum(axis=1)array([2, 4])