Numpy

numpy_datatype2.py

## Creating a int8 type of array.
z = np.int8([-12,2,3])

## Printing the array.
print(z)

#[Output]:
#array([-12,   2,   3], dtype=int8)

## Creating an array with datatype -> uint.
## With negative values as well to check what will happen.

a = np.uint([-12,2,3])

## Printing to check values, so here -12 is converted to some other number in the range of that data type.
## Here unit == unit32 so a big no. is coming in replacement.
print(a)

#[Output]:
#array([4294967284,          2,          3], dtype=uint32)


## If you will check here with unit8 then, it is returning a small no not as large as previous one.
## becasue uint8 has range  (0 to255)
b = np.uint8([-12,2,3])
print(b)

#[Output]:
#array([244,   2,   3], dtype=uint8)