Detailed explanation of function examples in python

() is a function in the NumPy library that is used to round arrays or individual numeric values. This function returns an array or value of the same type as the input and can specify the number of reserved decimal places with optional parameters.

1. Syntax of () function

(a, decimals=0, out=None)

• Parameter descriptiona: an array or a single value to be rounded.
• decimals: Optional parameter, specify the number of reserved decimal places, default is 0.
• out: Optional parameters, no manual specification is required. Return Value Returns an array or value of the same type as the input.

2. Example of () function

2.1 Rounding a single value

import numpy as np
# Round the valuesnumber = 3.14159
rounded_number = (number)
print(rounded_number)  # Output: 3.0

In the above example, we first importnumpylibrary, and defines anumberThe value of the variable is 3.14159. Then, we use()Function pairnumberPerform rounding operation and assign the result torounded_numbervariable. Finally, we useprint()Function outputrounded_numberThe value of , the result is 3.0.

2.2 Round the array

import numpy as np
# Round the arrayarr = ([1.1, 2.6, 3.3, 4.8, 5.5])
rounded_arr = (arr)
print(rounded_arr)  # Output: [1. 3. 3. 5. 6.]

In the above example, we define a name calledarran array containing several floating point elements. Then, we use()Function pairarrPerform rounding operation and assign the result torounded_arrvariable. Finally, we useprint()Function outputrounded_arrThe value of[1. 3. 3. 5. 6.]。

2.3 Specify the number of reserved decimal places

import numpy as np
# Specify keeping 2 decimal placesarr = ([1.123, 2.456, 3.789])
rounded_arr = (arr, decimals=2)
print(rounded_arr)  # Output: [1.12 2.46 3.79]

In the above example, we use()Functions to arraysarrPerform rounding operation and passdecimalsThe parameter specifies that two decimal places are retained. Finally, we useprint()Function outputrounded_arrThe value of[1.12 2.46 3.79]。

2.4 Assign the result to the specified output array

import numpy as np
# Assign the result to the specified output arrayarr = ([1.1, 2.6, 3.3, 4.8, 5.5])
out_arr = np.zeros_like(arr)
(arr, out=out_arr)
print(out_arr)  # Output: [1. 3. 3. 5. 6.]

In the above example, we first create aarrAll-zero array with the same shapeout_arr. Then, we use()Function pairarrPerform rounding operation and assign the result toout_arrArray. Finally, we useprint()Function outputout_arrThe value of , the result is the same as in the previous example.

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