numpy.cbrt() in Python Last Updated : 18 Nov, 2020 Summarize Suggest changes Share Like Article Like Report This mathematical function helps user to calculate cube root of x for all x being the array elements. Syntax: numpy.cbrt(arr, out = None, ufunc ‘cbrt’) : Parameters : arr : [array_like] Input array or object whose elements, we need to square. Return : An array with cube root of x for all x i.e. array elements Code #1 : Working Python3 # Python program explaining # cbrt () function import numpy as np arr1 = [1, 27000, 64, -1000] print ("cbrt Value of arr1 : \n", np.cbrt(arr1)) arr2 = [1024 ,-128] print ("\ncbrt Value of arr2 : ", np.cbrt(arr2)) Output : cbrt Value of arr1 : [ 1. 30. 4. -10.] cbrt Value of arr2 : [ 10.0793684 -5.0396842] Code #2 : Working with complex numbers Python3 # Python program explaining # cbrt () function import numpy as np a = 4 + 3j print("cbrt(4 + 3j) : ", np.cbrt(a)) b = 16 + 13j print("\ncbrt value(16 + 13j) : ", np.cbrt(b)) Output : TypeError: ufunc 'cbrt' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe'' Code #3 : Graphical representation Python3 # Python program explaining # cbrt () function import numpy as np import matplotlib.pyplot as plt a = np.linspace(start = -5, stop = 150, num = 10, endpoint = True) print("Graphical Representation : \n", np.cbrt(a)) plt.title("blue : with cbrt\nred : without cbrt") plt.plot(a, np.cbrt(a)) plt.scatter(a, a, color = 'red') plt.show() Output : Graphical Representation : [-1.70997595 2.30347441 3.08793243 3.60027433 3.99768384 4.3287262 4.61565763 4.87076238 5.10162421 5.31329285] References : https://docs.scipy.org/doc/numpy-1.12.0/reference/generated/numpy.cbrt.html . Advertise with us Next Article numpy.binary_repr() in Python M mohit gupta_omg :) Follow Similar Reads numpy.ceil() in Python The numpy.ceil() is a mathematical function that returns the ceil of the elements of array. The ceil of the scalar x is the smallest integer i, such that i >= x Syntax : numpy.ceil(x[, out]) = ufunc ‘ceil’) Parameters : a : [array_like] Input array Return : The ceil of each element with float dat 2 min read numpy.binary_repr() in Python numpy.binary_repr(number, width=None) function is used to represent binary form of the input number as a string. For negative numbers, if width is not given, a minus sign is added to the front. If width is given, the two’s complement of the number is returned, with respect to that width. In a two’s- 3 min read numpy.base_repr() in Python numpy.base_repr(number, base=2, padding=0) function is used to return a string representation of a number in the given base system. For example, decimal number 10 is represented as 1010 in binary whereas it is represented as 12 in octal. Syntax : numpy.base_repr(number, base=2, padding=0) Parameters 3 min read numpy.sqrt() in Python numpy.sqrt() in Python is a function from the NumPy library used to compute the square root of each element in an array or a single number. It returns a new array of the same shape with the square roots of the input values. The function handles both positive and negative numbers, returning NaN for n 2 min read numpy.correlate() function - Python numpy.correlate() function defines the cross-correlation of two 1-dimensional sequences. This function computes the correlation as generally defined in signal processing texts: c_{av}[k] = sum_n a[n+k] * conj(v[n]) Syntax : numpy.correlate(a, v, mode = 'valid') Parameters : a, v : [array_like] Input 1 min read bin() in Python Python bin() function returns the binary string of a given integer. bin() function is used to convert integer to binary string. In this article, we will learn more about Python bin() function. Example In this example, we are using the bin() function to convert integer to binary string. Python3 x = b 2 min read Article Tags : Python Python-numpy Python numpy-Mathematical Function Practice Tags : python Like