Sort multidimensional array based on 2nd element of the subarray
I have an array like this:
I have an array like this:
I’m a complete rookie to Python, but it seems like a given string is able to be (effectively) arbitrary length. i.e. you can take a string str and keeping adding to it: str += "some stuff...". Is there a way to make an array of such strings?
I have the following code which is attempting to normalize the values of an m x n array (It will be used as input to a neural network, where m is the number of training examples and n is the number of features).
I have looked into documentations and also other questions here, but it seems I
have not got the hang of subsetting in numpy arrays yet.
I have a large array where each row is a time series and thus needs to stay in order.
Given a 3 times 3 numpy array
Or, a more general question would be, how to slice an array to get every n-th line, so for even/odd you’d want to skip one line, but in the general case you’d want to get every n-th lines, skipping n-1 lines.
Is there a simple way to create an immutable NumPy array?
I have a Python3.x pandas DataFrame whereby certain columns are strings which as expressed as bytes (like in Python2.x)
I am looking for a vectorized way to index a numpy.array by numpy.array of indices.