I am trying to build a feature in a Bokeh dashboard which allows the user to cluster data. I am using the following example as a template, here is the link:- Clustering in Bokeh example Here is the code from this example:- The example allows the user to cluster data. Within the code, you can specify which alg…
Pandas apply() with axis=0 unexpected behaviour
I’m using the .apply() method in pandas. I get the same results when using axis=0 and axis=1. When using axis=0 I’d expect a series with four elements (indexed A, B, C, D) as a result. Can anyone tell me why the axis argument doesn’t work in this case? I’m adding a reproducible example…
__init__() got an unexpected keyword argument ‘handle_unknown’
I’m trying to Ordinal Encode my categorical features using sklearn, but I get the error __init__() got an unexpected keyword argument ‘handle_unknown’ when I compile the below code: A sample data to reproduce the error: Could someone please tell me what’s wrong in my code? Answer You a…
Subtract 2 hex files line by line in python
Have 2 files with hex values file1.txt file2.txt using python i am trying to subtract line 1 of file1.txt from line 1 of file2.txt and so on. My codes but I am only able to get first line subtract value, not getting all 3 lines value. Answer The problem is with: line1 = f1.readline().strip() and line2 = f2.re…
Using densenet with fastai
I am trying to train a densenet model using the fast.ai library. I checked the documentation and I managed to make it work for resnet50. However, for densenet, it seems to be unable to find the module. I tried to use arch=models.dn121 as stated by this forum. But I get the same error. Can anyone please help? …
How to avoid rewriting filepaths when running a python script on a different computer?
I wrote a script in Jupyter Notebook and the script is using a series of files. I want to send this script and run it on a different computer. Is there any way to avoid having to rewrite each individual filepath when running tje script on the different computer? Answer You should checkout os module in Python.…
Turn cell into False based another row/column Pandas
I have the following table of boolean values: index val1 val2 val3 val4 val5 val6 1 True False True True True False 2 False True True False True False 3 False False False True False True 4 True True True False False True I also have the following dictionary: How do I change the table so for every key column
changing ampersands to %26
I am using Python-requests to pull data from a website. I am doing this currently : which gives me: https://someurl?query=&A=something&B=something This is all perfectly fine and great. However, the website doesn’t accept my API call. After some meddling around, I discovered that my target url is…
Cleaner way to selectively multiply pandas DataFrame values
Given this example: Where the values in df are multiplied by non-NaN values from factors, is there a cleaner way to do this with pandas? (or numpy for that matter) I had a look at .mul(), but that doesn’t appear to allow me to do what’s required here. Additionally, what if factors contains rows wi…
Which is faster, a set comprehension or set difference? [closed]
Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers. This question does not appear to be about programming within the scope defined in the help center. Closed 1 year ago. Improve this question I have two lists: I need to find the difference between the two list…