NumPy Array Functions

import numpy as np
arr = np.array([1, 2, 3])
print(arr)

import numpy as np 
zeros_array = np.zeros((2, 3))
print(zeros_array)

import numpy as np
ones_array = np.ones((3, 2))
print(ones_array)

import numpy as np
range_array = np.arange(0, 10, 2) 
print(range_array)

import numpy as np
linear_array = np.linspace(0, 1, 5)  
print(linear_array)

import numpy as np 
random_array = np.random.rand(2, 3) 
print(random_array)

import numpy as np 
reshaped = np.reshape(np.arange(6), (2, 3))
print(reshaped)

import numpy as np
flattened = reshaped.flatten()
print(flattened)

import numpy as np
transposed = reshaped.T
print(transposed)

import numpy as np
a = np.array([1, 2])
b = np.array([3, 4])
concatenated = np.concatenate((a, b))
print(concatenated)

import numpy as np
array = np.array([1, 2, 3])
total = np.sum(array) 
print(total)

import numpy as np
mean_value = np.mean(array)  
print(mean_value)

import numpy as np
max_val = np.max(array) 
min_val = np.min(array) 
print(max_val)
print(min_value)

import numpy as np
sqrt_array = np.sqrt(array)
print(sqrt_array)

import numpy as np
array = np.array([1, 2, 3, 4])
element = array[2]  
print(element)

import numpy as np
subset = array[1:3]  
print(subset)

import numpy as np
sorted_array = np.sort(np.array([3, 1, 2]))
print(sorted_array)

import numpy as np
indices = np.argsort(np.array([3, 1, 2]))
print(indices)

import numpy as np
array = np.array([1, 2, 3, 4])
indices = np.where(array > 2)  
print(indices)

import numpy as np
np.save('array.npy', array)
loaded_array = np.load('array.npy')
print(loaded array)

import numpy as np 
np.savetxt('array.txt', array)
loaded_array = np.loadtxt('array.txt')
print(loaded_array)