How to suppress or capture the output of subprocess.run()?
From the examples in docs on subprocess.run() it seems like there shouldn’t be any output from
Python
Python: multiplication override
So, I’ve got a custom class that has a __mul__ function which works with ints. However, in my program (in libraries), it’s getting called the other way around, i.e., 2 * x where x is of my class. Is there a way I can have it use my __mul__ function for this?
Why am I getting a NameError when I try to call my function?
This is my code:
Any gotchas using unicode_literals in Python 2.6?
We’ve already gotten our code base running under Python 2.6. In order to prepare for Python 3.0, we’ve started adding:
Ambiguity in Pandas Dataframe / Numpy Array “axis” definition
I’ve been very confused about how python axes are defined, and whether they refer to a DataFrame’s rows or columns. Consider the code below:
timedelta to string type in pandas dataframe
I have a dataframe df and its first column is timedelta64
Is there a builtin identity function in python?
I’d like to point to a function that does nothing:
Split dataframe into relatively even chunks according to length
I have to create a function which would split provided dataframe into chunks of needed size. For instance if dataframe contains 1111 rows, I want to be able to specify chunk size of 400 rows, and get three smaller dataframes with sizes of 400, 400 and 311. Is there a convenience function to do the job? What would be the best way to store and iterate over sliced dataframe?
asyncio: Is it possible to cancel a future been run by an Executor?
I would like to start a blocking function in an Executor using the asyncio call loop.run_in_executor and then cancel it later, but that doesn’t seem to be working for me.
Python sum, why not strings?
The preferred, fast way to concatenate a
sequence of strings is by calling
”.join(sequence).