Optimizing if statement check over a numpy value

Dear all, I have the following piece of code. I am reading a numpy dataset from an hdf5 file and I am changing values to a new value if they equal 1. There is 90 percent chance that (if id not in myList:) is true and in 10 percent of time is false. with h5py.File(inputFile, 'r') as f1:

Re: Optimizing if statement check over a numpy value

On Thursday, July 23, 2015 at 1:43:00 PM UTC+2, Jeremy Sanders wrote: > Heli Nix wrote: > > > Is there any way that I can optimize this if statement. > > Array processing is much faster in numpy. Maybe this is close to what you > want > > import numpy as N > # i

Porting Python Application to a new linux machine

Dear all, I have my python scripts that use several python libraries such as h5py, pyside, numpy In Windows I have an installer that will install python locally on user machine and so my program gets access to this local python and runs successfully. How can I do this in Linux ? ( I wan

PyInstaller+ Python3.5 (h5py import error)

Dear all, Thanks a lot for your replies. Very helpful. I have already done some trials with Virtualenv, but PyInstaller is much closer to the idea of an installer you can pass to someone. I have been using development version of PyInstaller in order to be able to use it with my script writt

Re: PyInstaller+ Python3.5 (h5py import error)

Thanks Christian, It turned out that h5py.defs was not the only hidden import that I needed to add. I managed to get it working with the follwoing command adding 4 hidden imports. pyinstaller --hidden-import=h5py.defs --hidden-import=h5py.utils --hidden-import=h5py.h5ac --hidden-import=h5