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__)