Equivalent to Matlab’s ind2rgb in Python
In Matlab, there is a function ind2rgb function that can be used like this:
matlab
Read .mat files in Python
Is it possible to read binary MATLAB .mat files in Python?
find length of sequences of identical values in a numpy array (run length encoding)
In a pylab program (which could probably be a matlab program as well) I have a numpy array of numbers representing distances: d[t] is the distance at time t (and the timespan of my data is len(d) time units).
A tool to convert MATLAB code to Python
I have a bunch of MATLAB code from my MS thesis which I now want to convert to Python (using numpy/scipy and matplotlib) and distribute as open-source. I know the similarity between MATLAB and Python scientific libraries, and converting them manually will be not more than a fortnight (provided that I work towards it every … Read more
Calling MATLAB functions from python
Is it possible to run MATLAB functions from within Python?
I search the internet, I could only find PyMat. The bad thing is the compiled version only supports Python2.2 and I am using 2.6. So I tried to download the source code, so I can compile it for myself. But I cannot compile it, VC++ express seems not to have the necessary functionalities to compile it. Does anyone have the compile version for PC?
or any substitutes for PyMat?
Thanks
Python equivalent to ‘hold on’ in Matlab
Is there an explicit equivalent command in Python’s matplotlib for Matlab’s hold on? I’m trying to plot all my graphs on the same axes. Some graphs are generated inside a for loop, and these are plotted separately from su and sl:
Representing and solving a maze given an image
What is the best way to represent and solve a maze given an image?
Segmenting License Plate Characters
I am facing a problem in segmenting characters from a license plate image.
I have applied following method to extract license plate characters”
Sampling uniformly distributed random points inside a spherical volume
I am looking to be able to generate a random uniform sample of particle locations that fall within a spherical volume.