numpy allows the creation of arrays of all ones or all zeros very easily: e.g. numpy.ones((2, 2)) or numpy.zeros((2, 2)) Since True and False are represented in Python as 1 and 0, respectively, we have only to specify this array should be boolean using the optional dtype parameter and we are done. numpy.ones((2, 2), dtype=bool) … Read more
You might be interested in the SciPy Stats package. It has the percentile function you’re after and many other statistical goodies. percentile() is available in numpy too. This ticket leads me to believe they won’t be integrating percentile() into numpy anytime soon
You’re not saying how exactly putdata() is not behaving. I’m assuming you’re doing This is because putdata expects a sequence of tuples and you’re giving it a numpy array. This will work but it is very slow. As of PIL 1.1.6, the “proper” way to convert between images and numpy arrays is simply although the resulting array is in a different … Read more
It seems like you have a list of tensors. For each tensor you can see its size() (no need to convert to list/numpy). If you insist, you can convert a tensor to numpy array using numpy(): Return a list of tensor shapes: Returns a list of numpy arrays: In terms of performance, it is always best to avoid … Read more
When I try the result gives me a 2-d plot frame with x-axis from 0 to 1. However, when I try using numpy.newaxis to slice a vector, Is it the same thing except that it changes a row vector to a column vector? Generally, what is the use of numpy.newaxis, and in which circumstances should … Read more
The purpose of meshgrid is to create a rectangular grid out of an array of x values and an array of y values. So, for example, if we want to create a grid where we have a point at each integer value between 0 and 4 in both the x and y directions. To create … Read more