To compare and return True if an array is less than equal to another, use the numpy.char.less_equal() method in Python Numpy. The arr1 and arr2 are the two input string arrays of the same shape.Unlike numpy.less_equal, this comparison is performed by first stripping whitespace characters from the end of the ... Read More

To compute the bit-wise XOR of two 2D 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 ... Read More

In this article, we will understand how to find the area of a parallelogramA parallelogram has two pairs of parallel equal opposite sides. It has a base and a height which is the perpendicular distance between the base and its opposite parallel side.The area of a parallelogram is calculated using ... Read More

To check which element in a masked array is greater than the given value, use the ma.MaskedArray.__gt__() method. True is returned for every array element greater than the given value val. A masked array is the combination of a standard numpy.ndarray and a mask. A mask is either nomask, indicating ... Read More

In this article, we will understand how to compute the combination using n and r values. The nCr is calculated using the formula −(factorial of n) / (factorial of (n-r))Below is a demonstration of the same −InputSuppose our input is −Value of n : 6 Value of r : 4OutputThe ... Read More

To check which element in a masked array is less than or equal to a given value, use the ma.MaskedArray.__le__() method. Returns with boolean type i.e. True and False. A masked array is the combination of a standard numpy.ndarray and a mask. A mask is either nomask, indicating that no ... Read More

In this article, we will understand how to compute the surface area and volume the cuboid. Cuboid is a three-dimensional object with six faces of rectangle shape which means it has sides of different length and breadth. The difference between a cube and cuboid is that a cube has equal ... Read More

To check which element in a masked array is less than the given value, use the ma.MaskedArray.__lt__() method. Returns with boolean type i.e. True and False. 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 ... 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. 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 ... Read More

To return the variance of the masked array elements, use the ma.MaskedArray.var() in Python Numpy. 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 ... Read More