I have the data in this format, and I want to turn it around in an horizontal shape, and in the same time accumulate the count of one product, when the date and hour data are the same. I put below the new desired data frame. Is this feasible using pandas? Or any other python library? Answer You could groupby+…
Django 4.0 NoReverseMatch
So I’m learning to create a confirmation email address while registering an account using Django. This is my urls.py: I’m having this email_confirmation.html template: tokens.py: And this is my views.py: In the end, I am getting this error: My question is, why I am getting this error and do you gu…
Python pathlib.Path library always cuts last folder from the path and adds it to the name of created file
So here is the problem, I have some path which is like this: Then I use this to “make” it win path: So now every time I use it, to create some other files inside of path directory, my files are created inside of “category” folder with prefix UFF, so file names are: instead of For creat…
How can I sort a python list by key without .sort()?
I want to convert this piece of code in order to make it compatible with Numba. The only sort method that Numba support is sorted() but not with the key arg. I have to manualy sort without other lib imports or maybe just some numpy. Someone could give me an efficient way to do this sort ? Thanks Edit :
Extract data from tensorflow dataset (e.g. to numpy)
I’m loading images via I want to use the obtained data in non-tensorflow routines too. Therefore, I want to extract the data e.g. to numpy arrays. How can I achieve this? I can’t use tfds Answer I would suggest unbatching your dataset and using tf.data.Dataset.map: Or as suggested in the comments,…
How to write a text parser logic which identifies keywords from a dictionary?
How to make a simple text parser that finds keywords and categorizes them accordingly. Example: I have two dictionaries Now I want to pick out if the keywords from A are present in B and the result should be something like this. I’m a beginner and the logic to get this is very confusing. Answer You can …
Is there a way to wrap every single entry of an numpy.ndarray into a separate array?
I’m facing some problems getting an array into the right shape to use it as an input into a convolutional neural net: My array has the shape (100,64,64), but I’d need it to be (100,64,64,1). I realize it looks a bit odd, but I basically want to pack every single entry into a separate array. A simp…
pandas – idiomatic way to stash rows filtered out of dataframe
What is the idiomatic way to split a dataframe into two by a condition? Or put another way, to filter a dataframe by a condition but keep the filtered out rows in a new dataframe? I was thinking I could filter the original dataframe for the inverse of the ‘filtered out by condition’ rows using the…
Create a third curve from other two using python
I have two lists of xy coordinates, which I use to plot two curves. I’m interested in the area above the curves, so I used fill_between to arrive at this: Now, what I want is a way to get the coordinates that were not covered by the colored areas, so I can then plot a third curve like the red
Select n items from a set of subsets [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 1 year ago. Improve this question I’m wondering if there exists an algorithm that can solve this problem: Suppose you hav…