Programming Articles - Page 760 of 3363

To return the floor of a specific array element, use the index value in the numpy.floor() method in Python Numpy. The floor of the scalar x is the largest integer i, such that i

To return the lower triangle of an array, use the numpy.tril() method in Python Numpy −The 1st parameter is the input arrayThe 2nd parameter is the 'k' i.e. the diagonal above which to zero elements.k = 0 (the default) is the main diagonal, k 0 is above.The function returns a copy of an array with elements above the k-th diagonal zeroed. For arrays with ndim exceeding 2, tril will apply to the final two axes.StepsAt first, import the required library −import numpy as npCreate a 2d array −arr = np.array([[36, 36, 78, 88], [92, 81, 98, 45], [22, 67, ... Read More

To create an array with ones at and below the given diagonal and zeros elsewhere, use the numpy.tri() method in Python NumpyThe 1st parameter is the number of rows in the arrayThe 2nd parameter is the number of columns in the arrayThe "type" parameter is used to set the type of the returned arrayThe tri() function returns an array with its lower triangle filled with ones and zero elsewhere; in other words T[i,j] == 1 for j

To create an array with ones at and below the given diagonal and zeros elsewhere, use the numpy.tri() method in Python Numpy −The 1st parameter is the number of rows in the arrayThe 2nd parameter is the number of columns in the arrayThe tri() function returns an array with its lower triangle filled with ones and zero elsewhere; in other words T[i,j] == 1 for j

To create a two-dimensional array with the flattened input as a diagonal, use the numpy.diagflat() method in Python Numpy. The 'K parameter is used to set the diagonal; 0, the default, corresponds to the “main” diagonal, a negative k giving the number of the diagonal below the main.The first parameter is the input data, which is flattened and set as the k-th diagonal of the output. The second parameter is the diagonal to set; 0, the default, corresponds to the “main” diagonal, a positive (negative) k giving the number of the diagonal above (below) the main.NumPy offers comprehensive mathematical functions, ... Read More

To create a two-dimensional array with the flattened input as a diagonal, use the numpy.diagflat() method in Python Numpy. The 'K parameter is used to set the diagonal; 0, the default, corresponds to the “main” diagonal, a positive (negative) k giving the number of the diagonal above (below) the main.The first parameter is the input data, which is flattened and set as the k-th diagonal of the output. The second parameter is the diagonal to set; 0, the default, corresponds to the “main” diagonal, a positive (negative) k giving the number of the diagonal above (below) the main.NumPy offers comprehensive ... Read More

To create a two-dimensional array with the flattened input as a diagonal, use the numpy.diagflat() method in Python Numpy. The first parameter is the input data, which is flattened and set as the kth diagonal of the output. The second parameter is the diagonal to set; 0, the default, corresponds to the “main” diagonal, a positive (negative) k giving the number of the diagonal above (below) the main.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 ... Read More

To return evenly spaced numbers on a geometric progression, use the numpy.geomspace() method in Python Numpy −The 1st parameter is the "start" i.e. the start of the sequenceThe 2nd parameter is the "end" i.e. the end of the sequenceThe 3rd parameter is the num i.e. the number of samples to generate. Default is 50.We have set complex inputs.The start is the starting value of the sequence. The stop if the final value of the sequence, unless endpoint is False. In that case, num + 1 values are spaced over the interval in log-space, of which all but the last (a ... Read More

To return evenly spaced numbers on a geometric progression, use the numpy.geomspace() method in Python Numpy −The 1st parameter is the "start" i.e. the start of the sequenceThe 2nd parameter is the "end" i.e. the end of the sequenceThe 3rd parameter is the num i.e. the number of samples to generate. Default is 50.We have set negative inputsThe start is the starting value of the sequence. The stop if the final value of the sequence, unless endpoint is False. In that case, num + 1 values are spaced over the interval in log-space, of which all but the last (a ... Read More

To return evenly spaced numbers on a geometric progression, use the numpy.geomspace() method in Python Numpy −The 1st parameter is the "start" i.e. the start of the sequenceThe 2nd parameter is the "end" i.e. the end of the sequenceThe 3rd parameter is the "num" i.e. the number of samples to generate. Default is 50.The 4th parameter is the "endpoint". If True, stop is the last sample. Otherwise, it is not included. Default is True.The start is the starting value of the sequence. The stop if the final value of the sequence, unless endpoint is False. In that case, num + ... Read More