In NumPy we can find the number of weekdays in a given month with the help of busday_count() In this pass the given month is the first parameter and next month as the second parameter. It will return the total number of weekdays in a given month....
With the help of numpy.random.geometric() method, we can get the random samples of geometric distribution and return the random samples of numpy array by using this method....
Heteroskedasticity is a statistical term and it is defined as the unequal scattering of residuals. More specifically it refers to a range of measured values the change in the spread of residuals. Heteroscedasticity possesses a challenge because ordinary least squares (OLS) regression considers the residuals thrown out from a population having homoscedasticity which means constant variance. If there is a heteroscedasticity present for a regression analysis then the outcome of the analysis cannot be trusted easily....
To split the elements of a given array with spaces we will use numpy.char.split(). It is a function for doing string operations in NumPy. It returns a list of the words in the string, using sep as the delimiter string for each element in arr....
The numpy.poly() function in the Sequence of roots of the polynomial returns the coefficient of the polynomial....
numpy.tan(array[, out]) = ufunc ‘tan’) : This mathematical function helps user to calculate trigonometric tangent for all x(being the array elements). Parameters :...
np.lagadd() method is used to add one Laguerre series to another.It returns the sum of two Laguerre series c1 + c2....
With the help of np.hermweight() method, we can get the hermite polynomial by applying weight function in hermite series by using np.hermweight() method....
Let’s see the program to compute the cross product of two given vectors using NumPy. For finding the cross product of two given vectors we are using numpy.cross() function of NumPy library....
In this article, we are going to convert Pytorch tensor to NumPy array....
Numpy in Python is a general-purpose array-processing package. It provides a high-performance multidimensional array object and tools for working with these arrays. It is the fundamental package for scientific computing with Python. Numpy provides very easy methods to calculate the average, variance, and standard deviation....
np.lagvander3d() method is used to returns the Vandermonde matrix of degree deg and sample points x, y and z....