New to python and also using stack overflow so please bear with me, I’m just trying to get used to it. Right, so I have 5 image frames. I wish to extract the pixel values from these frames in the time domain. Therefore I need to store the values in a new matrix with no_of_frames as my rows (time domain
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I’m working on a project where I need to install all of the Poetry extras to run an automated build. What is the easiest way to get that list as a space-separated list, for use in poetry install –extras=”$extras”? Some possibilities: I could use the Python toml package, but that would require setting up a separate virtualenv to install it.
How do I average values of a group range in pandas? [closed]
Closed. This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed 1 year ago. Improve this question I have this Dataframe. I want to make age range 1-5, 6-10, 11-15, etc and set all values in this
Extracting human names from text data using python stanza
I have a dataset containing the string value of book title pages (e.g. all words on the title page, each line of my txt file is a different book). From this I am trying to retrieve the author’s name as the human name which appears on the title page, and store each name on a separate line in a csv
Provide a file path or directory that contains files
I want to iterate through directories to find PDF files but I also want to be able to profile the file path without iterating through directories. So this is what I wrote: Answer Use os.path.isdir/os.path.isfile to check if the path is a valid directory/file. If it’s a directory – walk it with a for loop, otherwise process it as file.
Python lxml find text efficiently
Using python lxml I want to test if a XML document contains EXPERIMENT_TYPE, and if it exists, extract the <VALUE>. Example: Is there a faster way than iterating through all elements? That attempt is also getting messy when I want to extract the <VALUE>. Answer Preferably you do this with XPath which is bound to be incredibly fast. My sugestion
Unknown image file format. One of JPEG, PNG, GIF, BMP required
I built a simple CNN model and it raised below errors: The code I wrote is quite simple and standard. Most of them are just directly copied from the official website. It raised this error before the first epoch finish. I am pretty sure that the images are all png files. The train folder does not contain anything like text,
Is there a way to make “print(l for l in List)” work?
Hi I am trying to shorten my code with some for loops inside of print functions, but I run into this problem: Output: is there a way to make this work without doing: Output: or do I have to stick with that? I am sorry if this question is somewhere else, I just couldn’t find it. If you manage to
Python object array of empty arrays
I am attempting to create a numpy array of empty arrays without using loops. Using loops, I can use a simplified operation like Or a marginally more sophisticated approach based on np.nditer: I can’t seem to find an indexing expression that will allow me to make this assignment in a vectorized manner. I’ve tried the following: Even np.nditer does not
How do I load a dataframe in Python sklearn?
I did some computations in an IPython Notebook and ended up with a dataframe df which isn’t saved anywhere yet. In the same IPython Notebook, I want to work with this dataframe using sklearn. df is a dataframe with 4 columns: id (string), value(int), rated(bool), score(float). I am trying to determine what influences the score the most just like in