In This Article, You Will Learn About Numpy Rounding Decimals
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 np
array = 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 np
array = 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 np
array = 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 np
array = 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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