numpy.fix() in Python Last Updated : 08 Mar, 2024 Comments Improve Suggest changes Like Article Like Report The numpy.fix() is a mathematical function that rounds elements of the array to the nearest integer towards zero. The rounded values are returned as floats. Syntax : numpy.fix(a, b = None) Parameters : a : [array_like] Input array to be floated. b : [ndarray, optional] Output array. Return : The array of rounded numbers Code #1 : Working Python3 # Python program explaining # fix() function import numpy as np in_array = [.5, 1.5, 2.5, 3.5, 4.5, 10.1] print ("Input array : \n", in_array) fixoff_values = np.fix(in_array) print ("\nRounded values : \n", fixoff_values) in_array = [.53, 1.54, .71] print ("\nInput array : \n", in_array) fixoff_values = np.fix(in_array) print ("\nRounded values : \n", fixoff_values) in_array = [.5538, 1.33354, .71445] print ("\nInput array : \n", in_array) fixoff_values = np.fix(in_array) print ("\nRounded values : \n", fixoff_values) Output : Input array : [0.5, 1.5, 2.5, 3.5, 4.5, 10.1] Rounded values : [ 0. 1. 2. 3. 4. 10.] Input array : [0.53, 1.54, 0.71] Rounded values : [ 0. 1. 0.] Input array : [0.5538, 1.33354, 0.71445] Rounded values : [ 0. 1. 0.] Code #2 : Working Python3 # Python program explaining # fix() function import numpy as np in_array = [1, 4, 7, 9, 12] print ("Input array : \n", in_array) fixoff_values = np.fix(in_array) print ("\nRounded values : \n", fixoff_values) in_array = [133, 344, 437, 449, 12] print ("\nInput array : \n", in_array) fixoff_values = np.fix(in_array) print ("\nRounded values upto 2: \n", fixoff_values) in_array = [133, 344, 437, 449, 12] print ("\nInput array : \n", in_array) fixoff_values = np.fix(in_array) print ("\nRounded values upto 3: \n", fixoff_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: [ 133. 344. 437. 449. 12.] Input array : [133, 344, 437, 449, 12] Rounded values upto 3: [ 133. 344. 437. 449. 12.] Comment More infoAdvertise with us Next Article float() in Python M mohit gupta_omg :) Follow Improve Article Tags : Python Python-numpy Python numpy-Mathematical Function Practice Tags : python Similar Reads numpy.array_repr() in Python numpy.array_repr()function is used to convert an array to a string. Syntax : numpy.array_repr(arr, max_line_width=None, precision=None, suppress_small=None) Parameters : arr : [array_like] Input array. max_line_width : [int, optional] The maximum number of columns the string should span. Newline cha 2 min read numpy.ma.fix_invalid() function | Python numpy.ma.fix_invalid() function return input with invalid data masked and replaced by a fill value. Where invalid data means values of nan, inf, etc. Syntax : numpy.ma.fix_invalid(arr, mask = False, copy = True, fill_value = None) Parameter : arr : [array_like] Input array. mask : [sequence, optiona 2 min read float() in Python Python float() function is used to return a floating-point number from a number or a string representation of a numeric value. Example: Here is a simple example of the Python float() function which takes an integer as the parameter and returns its float value. Python3 # convert integer value to floa 3 min read NZEC error in Python While coding on various competitive sites, many people must have encountered NZEC errors. NZEC (non-zero exit code), as the name suggests, occurs when your code fails to return 0. When a code returns 0, it means it is successfully executed otherwise, it will return some other number depending on the 2 min read NZEC error in Python While coding on various competitive sites, many people must have encountered NZEC errors. NZEC (non-zero exit code), as the name suggests, occurs when your code fails to return 0. When a code returns 0, it means it is successfully executed otherwise, it will return some other number depending on the 2 min read Python Print Exception In Python, exceptions are errors that occur at runtime and can crash your program if not handled. While catching exceptions is important, printing them helps us understand what went wrong and where. In this article, we'll focus on different ways to print exceptions.Using as keywordas keyword lets us 3 min read Like