Preserve custom attributes when pickling subclass of numpy array
I’ve created a subclass of numpy ndarray following the numpy documentation. In particular, I have added a custom attribute by modifying the code provided.
I’ve created a subclass of numpy ndarray following the numpy documentation. In particular, I have added a custom attribute by modifying the code provided.
I’ve got some example Python code that I need to mimic in C++. I do not require any specific solution (such as co-routine based yield solutions, although they would be acceptable answers as well), I simply need to reproduce the semantics in some manner.
I’m having a problem with subprocess.Popen when args parameter is given as sequence.
I feel kind of stupid but it does not work:
In Python, is it possible to redefine the default parameters of a function at runtime?
I realised that the open() function I’ve been using was an alias to io.open() and that importing * from os would overshadow that.
How can I save Python plots at very high quality?
Using pysqlite I am making a procedure to do something with some data. The same kind of operation is done on similar fields in multiple tables and columns, so I thought I could parameterize the sql statement as shown below:
(I’ve tried looking but all of the other answers seem to be using urllib2)
I have up to 8 seperate Python processes creating temp files in a shared folder. Then I’d like the controlling process to append all the temp files in a certain order into one big file. What’s the quickest way of doing this at an os agnostic shell level?