# ---------------------------------------------
# -- Numpy => Arithmetic & Useful Operations --
# ---------------------------------------------
# - Addition
# - Subtraction
# - Multiplication
# - Dividation
# ----------------
# - min
# - max
# - sum
# - ravel => Returns Flattened Array 1 Dimension With Same Type
# ----------------------------------------------
import numpy as np
# Arithmetic Operations
my_array1 = np.array([10, 20, 30])
my_array2 = np.array([5, 2, 4])
print(my_array1 + my_array2) # result [15, 22, 34]
print(my_array1 - my_array2) # result [5, 18, 26]
print(my_array1 * my_array2) # result [50, 40, 120]
print(my_array1 / my_array2) # result [2, 10, 7.5]
print('#' * 50)
my_array3 = np.array([[1, 4], [5, 9]])
my_array4 = np.array([[2, 7], [10, 5]])
print(my_array3 + my_array4) # result [ [3, 11], [15, 14] ]
print(my_array3 - my_array4) # result [ [-1, -3], [-5, 4] ]
print(my_array3 * my_array4) # result [ [2, 28], [50, 45] ]
print(my_array3 / my_array4) # result [ [0.5, 0.57142857], [0.5, 1.8] ]
print('#' * 50)
# Min, Max, Sum
my_array5 = np.array([10, 20, 30])
print(my_array5.min())
print(my_array5.max())
print(my_array5.sum())
print('#' * 50)
my_array6 = np.array([[6, 4], [3, 9]])
print(my_array6.min())
print(my_array6.max())
print(my_array6.sum())
print('#' * 50)
# Ravel
my_array7 = np.array([[6, 4], [3, 9]])
print(my_array7.ravel())
my_array8 = np.array([[[1, 2], [3, 4]], [[5, 6], [7, 8]]])
print(my_array8.ndim)
print(my_array8.ravel())
x = my_array8.ravel()
print(x.ndim)