The following code: displays: This is fine but what I’d like to do is to display each integer at a given position from the left of the screen. If possible, I also would like to keep using f string, not C-style formatting please. This would allow me to easilly print something nicely aligned like: Adding parenthesis like this with f-string
No module named “Torch”
I successfully installed pytorch via conda: I also successfully installed pytorch via pip: But, it only works in a jupyter notebook. Whenever I try to execute a script from the console, I get the error message: No module named “torch” Answer Try to install PyTorch using pip: First create a Conda environment using: Activate the environment using: Now install PyTorch
Python – How can I assert a mock object was not called with specific arguments?
I realize unittest.mock objects now have an assert_not_called method available, but what I’m looking for is an assert_not_called_with. Is there anything like that? I looked on Google and didn’t see anything, and when I tried just using mock_function.assert_not_called_with(…) it raised an AttributeError, meaning the function does not exist with that name. My current solution This works but clutters the code
how to add just the values in key s1 [closed]
Closed. This question needs details or clarity. It is not currently accepting answers. Want to improve this question? Add details and clarify the problem by editing this post. Closed 4 years ago. Improve this question List item Answer If you want to add all the values of s1, you need to iterate over the values() of dictionary students.
knight tour iteration dead end
I am trying to implement knight tour using iteration method. I have already wrote a program using recursion and its working fine, now instead of recursion I am using iteration method with stack to implement knight tour, I have wrote the below code. and here I can not backtrack when I reached to a dead end, could you please check
What are alternative methods for pandas quantile and cut in pyspark 1.6
I’m newbie to pyspark. I have pandas code like below. I have found ‘approxQuantile’ in pyspark 2.x but I didn’t find any such in pyspark 1.6.0 My sample input: df.show() df.collect() I have to loop the above logic for all input columns. Could anyone please suggest how to rewrite above code in pyspark 1.6 dataframe. Thanks in advance Answer If
pybind11 modify numpy array from C++
EDIT: It works now, I do not know why. Don’t think I changed anything I want to pass in and modify a large numpy array with pybind11. Because it’s large I want to avoid copying it and returning a new one. Here’s the code: I think the py::array::forcecast is causing a conversion and so leaving the input matrix unmodified (in
Process a function on different arguments in parallel in Python
This is my simple code where I want to run printRange() in parallel: My question is different from this SO question as here, the each process is hardcoded, started and finally joined. I want to run printRange() in parallel with say 100 other printRange() worker functions. Hardcoding each time is not feasible. How could this be done? Answer Using multiprocessing
pandas df – sort on index but exclude first column from sort
I want to sort this df on rows (‘bad job’) but I want to exclude the first column from the sort so it remains where it is: expected output: I don’t know to edit my code below to exclude the 1st column from the sort: Answer Use argsort with add 1 for possible add first value 0 by reindex for
Replace all newline characters using python
I am trying to read a pdf using python and the content has many newline (crlf) characters. I tried removing them using below code: But the output remains unchanged. I tried using double backslashes also which didn’t fix the issue. can someone please advise? Answer I don’t have access to your pdf file, so I processed one on my system.