Is it possible to use argsort in descending order?
Consider the following code:
numpy
understanding matplotlib.subplots python
squeeze : bool, optional, default: True
Removing nan values from an array
I want to figure out how to remove nan values from my array. My array looks something like this:
“Cloning” row or column vectors
Sometimes it is useful to “clone” a row or column vector to a matrix. By cloning I mean converting a row vector such as
Why is numpy’s einsum faster than numpy’s built in functions?
Lets start with three arrays of dtype=np.double. Timings are performed on a intel CPU using numpy 1.7.1 compiled with icc and linked to intel’s mkl. A AMD cpu with numpy 1.6.1 compiled with gcc without mkl was also used to verify the timings. Please note the timings scale nearly linearly with system size and are not due to the small overhead incurred in the numpy functions if statements these difference will show up in microseconds not milliseconds:
Concatenating two one-dimensional NumPy arrays
I have two simple one-dimensional arrays in NumPy. I should be able to concatenate them using numpy.concatenate. But I get this error for the code below:
How to solve a pair of nonlinear equations using Python?
What’s the (best) way to solve a pair of non linear equations using Python. (Numpy, Scipy or Sympy)
What does numpy.random.seed(0) do?
What does np.random.seed do in the below code from a Scikit-Learn tutorial? I’m not very familiar with NumPy’s random state generator stuff, so I’d really appreciate a layman’s terms explanation of this.
What is the internal precision of numpy.float128?
What precision does numpy.float128 map to internally? Is it __float128 or long double? Or something else entirely?
How to remove specific elements in a numpy array
How can I remove some specific elements from a numpy array? Say I have