 Introduction to Numpy Rounding Decimals in Python

Numpy Rounding Decimals – Before moving ahead, let’s know a bit of Python Numpy Simple Arithmetic Operators

Majorly there are five methods to round off decimal in Numpy Array.

• truncation
• fix
• rounding
• floor
• ceil

Truncation

It removes the decimal and returns the float number closest to zero.

### Example – Rounding off the elements of array and returning float number closets to zero.

`import numpy as nparray = np.trunc([2.51, -5.66])print(array)`
```Output -

[ 2. -5.]```

As shown above, it returned an array with float number closets to zero.

fix

It removes the decimal and returns the float number closest to zero.

### Example – Rounding off the elements of array and returning float number closets to zero.

`import numpy as nparray = np.fix([2.51, -5.66])print(array)`
```Output -

[ 2. -5.]```

As a result, it returned an array with float number closets to zero. umber closest to zero.

Rounding

The function around() increments the decimal digit by preceding digit 1.

### Example – Rounding off the number of array to 3 decimal places.

`import numpy as nparray = np.around(3.5452, 3)print(array)`
```Output -

3.545```

As a result, it returned an array with rounding off decimals to 3 places.

Floor

The floor() function rounds off decimal to nearest lower integer.

Example – Rounding off the number of array and returning to nearest lower integer.

`import numpy as nparray = np.floor([3.5452, -9.21])print(array)`
```Output -

[ 3. -10.]```

As a result, it returned an array with rounding number to nearest lower integer.

ceil

The ceil() function rounds off decimal to nearest upper integer.

Example – Rounding off the number of array and returning to nearest upper integer.

```import numpy as np

array = np.ceil([3.5452, -9.21])

print(array)```

As a result, it returned an array with rounding number to nearest upper integer.

If you find anything incorrect in the above-discussed topic and have any further questions, please comment below.

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