ndbc | Non-blocking Database Connectivity | Database library

First of all apologies for my lack of coding knowledge here!! Any pointers would be greatly appreciated!!

This is the code I have written to read the data from NDBC weather buoy 41049. My plan here is to get the data which works, clean out the spaces and replace them with commas and then create a dataframe from csv. the string_data prints very well from python but the data frame only comes out as one column?

I have a NetCDF data set I am trying to remove latitude and longitude data from my data variables so they can be indexed properly. The shape of each data variable is always (x, 1, 1) with x being my number of data points and the 1's representing the static longitude and latitudes. I've tried xarray.Dataset.squeeze and xarray.Dataset.drop and xarray.DataArray.drop_vars targeting latitude and longitude. I also tried it with a pandas data frame and the latitude and longitudes still stay glued to my variables and prevent indexing properly. If you copy my code below you will see the variable 'wave_height' shows a shape of (3411,1,1). I want a function that makes this shape just (3411,).

I am trying to parse through NOAA buoy NetCDF files and depending on when they were launched, the data is recorded every 10 min, 30 min, or hourly. I need all of them to be consistently hourly in Python. So, anything less than an hour needs to be averaged. I've seen methods using cdo and resample but I can't seem to get much to work.

Sample 10 min nc file I'm working with: https://dods.ndbc.noaa.gov/thredds/fileServer/data/stdmet/41053/41053h9999.nc

The three variables I care about are wave_height, average_wpd, and mean_wave_dir. I'm fine if I can replace NaNs with a number like 9999. I need a function that can convert and average any time series into hourly.

Pretty new to programming. I am trying to alter a script that was meant to pull .txt files containing data to now pull NetCDF files from an HTTP server, download, rename, and save locally (well another server location). I've pasted the base code including actual buoy data file names for NetCDF files. I believe there is an issue at the urlrequest line. I've tried urllib.request.open and url.request.retrieve and both give errors.

I want to convert a website table to pandas df, but BeautifulSoup doesn't recognize the table (snipped image below). Below is the code I tried with no luck.

I am trying to scrape the data containing the textarea, I have got the contents of the text.

I tried to convert it into a csv file, but when I opened the converted file. the data that appears is messy and stacked on row 1.

the following is how I use beautifulsoup:

Problem

I am trying to add a collapsing sidebar that slides open when the hamburger is clicked. The menu works when I remove the form I use to collect the GPS coordinates of the marker

but when I add the code back to the page, the sidebar doesn't expand. I believe there is a click event conflict because when I click on the hamburger the map appears to reload but I am unable to locate the issue. I do not get any errors in Dev Tools.

I tried removing the form coding and the sidebar functions as expected so this is what leads me to believe there is a click event conflict.

Question

What would be causing the hamburger click to initiate a map refresh when the form is present?

Working Page

A snippet of my JS