I have a list of dataclass instances in the form of: Now I would like to filter that list and get only unique instances by a certain key (company in this case). The desired list: The original idea was to use a function in the fashion of python’s set() or filter() functions, but both is not possible here. My working
Tag: filtering
How to apply a first order filter with a different time constant for each column of a pandas dataframe?
everyone! I have a pandas dataframe where each column represents a noisy signal, and I would like to apply a first order filter (gain = 1, time constant = “x” seconds) in each column, but with a different time constant for each column. For example: Any ideas? Thanks! Answer You can use apply with the args passed as a tuple
Progressively filter/smooth a signal in python (to straight line on the left to no filtering on the right)
A picture is worth a thousand words (sorry for the shoddy work): If the solution is preserving the value and the slope at both ends it is better. If, in addition, the position and sharpness of the transition can be adjusted it is perfect. But I have not found any solution yet… Thank you very much for your help Here
Butterworth filters look very strange as increasing order
I’m trying to design a simple Butterworth bandpass filter in SciPy, and I’m running into some strange results. This is giving strange results, as can be seen from the image below (Butterworth filters from order 1-10). I thought the filter was supposed to become increasingly rectangular as the order increased? Does anyone know how to design a simple Butterworth filter
Python comparing two lists and filtering items
I would like to do some word filtering (extracting only items in ‘keyword’ list that exist in ‘whitelist’). Here is my code so far: I want to remove every word except for ‘Cat’, ‘Dog’, and ‘Cow’ (which are in the ‘whitelist’) so that the result (‘keyword_filter’ list) will look like this: However, I got the result something like this: I
sqlalchemy dynamic filtering
I’m trying to implement dynamic filtering using SQLAlchemy ORM. I was looking through StackOverflow and found very similar question:SQLALchemy dynamic filter_by It’s useful for me, but not enough. So, here is some example of code, I’m trying to write: then I’m trying to reuse it with something very similar: After the second run, there are some issues: When I’m trying
Truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all()
I want to filter my dataframe with an or condition to keep rows with a particular column’s values that are outside the range [-0.25, 0.25]. I tried: But I get the error: Truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all() Answer The or and and Python statements require truth-values. For pandas, these are considered
How do I remove all zero elements from a NumPy array?
I have a rank-1 numpy.array of which I want to make a boxplot. However, I want to exclude all values equal to zero in the array. Currently, I solved this by looping the array and copy the value to a new array if not equal to zero. However, as the array consists of 86 000 000 values and I have