Parameters :
array: [array_like] Input array.
decimal: [int, optional] Decimal places we want to round off.
Default = 0. In case of -ve decimal, it specifies the n0. of positions to the left of the decimal point.
out: [optional] Output resulted array
Return:
An array with all array elements being rounded off, having same type as input
Code # 1: Work
|
import numpy as np
in_array = [. 5 , 1.5 , 2.5 , 3. 5 , 4.5 , 10.1 ]
print ( "Input array:" , in_array)
round_off_values = np.around ( in_array)
print ( "Rounded values : " , round_off_values)
in_array = [. 53 , 1.54 ,. 71 < code class = "plain">]
print ( " Input array: " , in_array)
round_off_values = np.around (in_array)
print ( "Rounded values:" , round_off_values)
in_array = [. 5538 , 1.33354 ,. 71445 ]
print ( "Input array:" , i n_array)
round_off_values = np.around (in_array, decimals = 3 )
print ( "Rounded values:" , round_off_values)
|
Output:
Input array: [0.5, 1.5, 2.5, 3.5, 4.5, 10.1] Rounded values : [0. 2. 2. 4. 4. 10.] Input array: [0.53, 1.54, 0.71] Rounded values: [1. 2. 1.] Input array: [0.5538, 1.33354, 0.71445] Rounded values: [ 0.554 1.334 0.714]
Code 2: Work
|
import numpy as np
in_array = [ 1 , 4 , 7 , 9 , 12 ]
print ( "Input array:" , in_array)
round_off_values = np.around (in_array)
print ( “Rounded values:” , round_off_values)
in_array = [ 133 , 344 , 437 , 449 , 12 ]
print ( "Input array:" , in_array)
round_off_values = np.around (in_array, decimals = - 2 )
print ( "Rounded values upto 2:" , round_off_values)
in_array = [ 133 , 344 , 437 , 449 , 12 ]
print ( "Input array:" , in_array)
round_off_values = np.around (in_array, decimals = - 3 )
print ( "Rounded values upto 3:" , round_off_values)
|
Output:
Input array: [1, 4, 7, 9, 12] Rounded values: [1 4 7 9 12] Input array: [133, 344, 437 , 449, 12] Rounded values upto 2: [100 300 400 400 0] Input array: [133, 344, 437, 449, 12] Rounded values upto 3: [0 0 0 0 0]
Links:
https: / /docs.scipy.org/doc/numpy-dev/reference/generated/numpy.around.html#numpy.around
,
X
Submit new EBook
