Lately, I’ve been running some Jupyter notebooks in VS Code, and I’ve been encountering a strange issue: whenever I open such a file, I am bombarded with pop-ups that look like this: Sometimes a few will pop up; other times it can be upwards of 10 pop-ups. What’s bizarre about this is that I…
Librosa – Audio Spectrogram/Frequency Bins to Spectrum
I’ve read around for several days but haven’t been to find a solution… I’m able to build Librosa spectrograms and extract amplitude/frequency data using the following: However, I cannot turn the data in D and freq_bins back into a spectrum. Once I am able to do this I can convert the n…
How to use Selenium in Databricks and accessing and moving downloaded files to mounted storage and keep Chrome and ChromeDriver versions in sync?
I’ve seen a couple of posts on using Selenium in Databricks using %shto install Chrome Drivers and Chrome. This works fine for me, but I had a lot of trouble when I needed to download a file. The file would download, but I could not find it in the filesystem in databricks. Even if I changed the download…
No module named pandas in conda command prompt
I’m trying to run a script made on spyder that runs with no problem. But when I try to run the same script it says Pandas is not installed. But I checked on my conda env e seems to be already installed. Why this happens? Answer Problem You are using pip python’s default package manager to install …
Problem with comparing two items in a list of lists
I have this list what I am trying to do is compare each item within the lists to each other (within the same list), to find out what the minimum is. In the first case, it would be 3.0, in the second, it would be 3.1. Now what I am trying to do is, if the minimum is the first
Dataframe count set of conditions passed by several columns on a per row basis
I have a dataframe which looks something like this: I am trying to compute a value based on a condition for every row which will apply across the column groupings of A, B, C, D, etc. and count how many of those groups passed the condition, for example, some pseudo-code: Expected output: This would mean the ex…
Matching Two Pandas DataFrames based on values in columns
I’m trying to match job candidates to mentors based on different several variables that would hopefully create a good match. There are two Pandas DataFrames (one for candidates and one for mentors) that I’m trying to connect based on experience, location, desired job, etc. For example I have a men…
What is the Time Complexity of this code sample? like nested loop, but inner loop is a fixed number
m, n are two python array inner loop is maximum 3 Thinking O(n)? because inner looping is in a fixed amount O(n*m)? O(n*3)? this is not the correct way :( What is the correct O time complexity for this? Answer Time complexity of the statement inside the inner loop is in O(1). Because, it is just only one comp…
Iterables / generators with specified length
Iterable objects are those that implement __iter__ function, which returns an iterator object, i.e. and object providing the functions __iter__ and __next__ and behaving correctly. Usually the size of the iterable object is not known beforehand, and iterable object is not expected to know how long the iterati…
Python Read Website Table Data into Dataframe
I came to know this source to import data. I tried but not successful in importing the data https://public.opendatasoft.com/explore/embed/dataset/us-zip-code-latitude-and-longitude/table/ my code: Presently I see no data but a string text. Table on the data: Answer JS is creating the table and rendering of ja…