Programming Articles - Page 745 of 3363

To compute the bit-wise XOR of two boolean arrays element-wise, use the numpy.bitwise_xor() method in Python Numpy.Computes the bit-wise XOR of the underlying binary representation of the integers in the input arrays. This ufunc implements the C/Python operator ^.The 1st and 2nd parameter are the arrays, only integer and boolean types are handled. If x1.shape != x2.shape, they must be broadcastable to a common shape.StepsAt first, import the required library −import numpy as npCreating two numpy boolean arrays using the array() method −arr1 = np.array([[False, False, False],    [True, False, True]]) arr2 = np.array([[False, True, False],    [False, False, False]])Display ... Read More

To return the variance of the masked array elements, use the ma.MaskedArray.var() in Numpy. The axis is set using the axis parameter. The axis is set to 0, for column axis.Returns the variance of the array elements, a measure of the spread of a distribution. The variance is computed for the flattened array by default, otherwise over the specified axis.The “axis” parameter is the axis or axes along which the variance is computed. The default is to compute the variance of the flattened array. If this is a tuple of ints, a variance is performed over multiple axes, instead of ... Read More

For a given rectangle of length l and width w, write a Java program to find its perimeter. The Perimeter of a rectangle is calculated by adding the lengths of all the sides of the rectangle. Below is a demonstration of a rectangle, a quadrilateral with four right angles (90°). The perimeter of a rectangle is the total length of the two lengths and two widths of the rectangle − Example Scenario: Input: length = 5, 8, 5, 8; Output: Perimeter = 26 On adding all the sides of rectangle, you will get perimeter. 5+8+5+8 = 26 Steps ... Read More

To compute the bit-wise OR of a 1D and a 2D array element-wise, use the numpy.bitwise_or() method in Python Numpy. Computes the bit-wise OR of the underlying binary representation of the integers in the input arrays. This ufunc implements the C/Python operator |.The 1st and 2nd parameter are the arrays, only integer and boolean types are handled. If x1.shape != x2.shape, they must be broadcastable to a common shape.The where parameter is the condition broadcast over the input. At locations where the condition is True, the out array will be set to the ufunc result. Elsewhere, the out array will ... Read More

In this article, we will understand how to calculate compound interest in Java. Compound interest is calculated using the following formula. Amount = P(1 + R/100)t Compound Interest = Amount - Principle where, P is the principal amount T is the time R is the rate Compound interest is the interest calculated on the initial principal and also on the accumulated interest of previous periods. In other words, Compound Interest = Interest on Principal + Interest on Interest. We'll learn how to get user input for the principal amount, interest rate, and time period, and then calculate the compound interest based ... Read More

To return the variance of the masked array elements, use the ma.MaskedArray.var() in Numpy. The axis is set using the axis parameter. The axis is set to 1, for row axisReturns the variance of the array elements, a measure of the spread of a distribution. The variance is computed for the flattened array by default, otherwise over the specified axis.The “axis” parameter is the axis or axes along which the variance is computed. The default is to compute the variance of the flattened array. If this is a tuple of ints, a variance is performed over multiple axes, instead of ... Read More

To return the outer product of two 3D masked arrays, use the ma.outer() method in Python Numpy. The first parameter is the input vector. Input is flattened if not already 1-dimensional. The second parameter is the second input vector. Input is flattened if not already 1-dimensional.A masked array is the combination of a standard numpy.ndarray and a mask. A mask is either nomask, indicating that no value of the associated array is invalid, or an array of booleans that determines for each element of the associated array whether the value is valid or not.StepsAt first, import the required library −import ... Read More

To compare and return True if an array is greater than another array, use the numpy.char.greater() method in Python Numpy.NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. It supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries.StepsAt first, import the required library −import numpy as npCreate two One-Dimensional arrays of string −arr1 = np.array(['Bella', 'Tom', 'John', 'Kate', 'Amy', 'Brad', 'aaa']) arr2 = np.array(['Cio', 'Tom', 'Cena', 'Kate', 'Adams', 'brad', 'aa'])Display the arrays −print("Array 1...", arr1) print("Array 2...", arr2)Get the type of the arrays −print("Our ... Read More

In this article, we will understand how to write a Java program to calculate simple interest. But, before doing it, let's understand how we calculate simple interest mathematically. The simple interest is a way to determine the amount of interest gained on a principal amount at the specified interest rate for a given time. Unlike compound interest, its principal amount does not change over time. To calculate Simple Interest, we use the following formula− Simple Interest (S.I) = Principal * Time * Rate / 100 where, P is the principal amount T is the time R is the rate ... Read More

To compute the bit-wise OR of two 1D arrays element-wise, use the numpy.bitwise_or() method in Python Numpy. Computes the bit-wise OR of the underlying binary representation of the integers in the input arrays. This ufunc implements the C/Python operator |.The 1st and 2nd parameter are the arrays, only integer and boolean types are handled. If x1.shape != x2.shape, they must be broadcastable to a common shape.The where parameter is the condition broadcast over the input. At locations where the condition is True, the out array will be set to the ufunc result. Elsewhere, the out array will retain its original ... Read More