How to add a new row to an empty numpy array
Using standard Python arrays, I can do the following:
Using standard Python arrays, I can do the following:
error: Microsoft Visual C++ 10.0 is required (Unable to find
vcvarsall.bat).
I’m trying to send live video frame that I catch with my camera to a server and process them. I’m usig opencv for image processing and python for the language. Here is my code
How can I calculate matrix mean values along a matrix, but to remove nan values from calculation? (For R people, think na.rm = TRUE).
This is an easy question but say I have an MxN matrix. All I want to do is extract specific columns and store them in another numpy array but I get invalid syntax errors.
Here is the code:
I have a set of lists that contain both strings and float numbers, such as:
I am looking for a simple function that can generate an array of specified random values based on their corresponding (also specified) probabilities. I only need it to generate float values, but I don’t see why it shouldn’t be able to generate any scalar. I can think of many ways of building this from existing functions, but I think I probably just missed an obvious SciPy or NumPy function.
I’m trying to get the index of all repeated elements in a numpy array, but the solution I found for the moment is REALLY inefficient for a large (>20000 elements) input array (it takes more or less 9 seconds).
The idea is simple:
I would like to get data from a single contour of evenly spaced 2D data (an image-like data).