We are accessing the element on the second row, fifth column.

import numpy as np

arr = np.array([[1,2,3,4,5], [6,7,8,9,10]])

print('5th element on 2nd row: ', arr[1, 4])

We are accessing the splitted arrays.

import numpy as np

arr = np.array([1, 2, 3, 4, 5, 6])

newarr = np.array_split(arr, 3)

print(newarr[0])
print(newarr[1])
print(newarr[2])

We using ceil function that rounds off decimal to nearest upper integer.

import numpy as np

arr = np.ceil([-3.1666, 3.6667])

print(arr)

We are changing data type from float to integer.

import numpy as np

arr = np.array([1.1, 2.1, 3.1])

newarr = arr.astype('i')

print(newarr)
print(newarr.dtype)

We are checking numpy version.

import numpy as np

print(np.__version__)

We are checking the data type of an array.

import numpy as np

arr = np.array([1, 2, 3, 4])

print(arr.dtype)