mg | minimal gem -

I often find myself applying two dimensional functions in numpy. I have done it several different ways, however, none seem to be very elegant. Is there a "correct" way to do the following in numpy?

I collected temperature and dissolved oxygen (DO) vertical profiles (from water surface to bottom) during my field surveys in a lake. I am trying to do some data exploration/viz to figure out how to use my data. I am trying to plot all my sites in the same plot by date, one plot for temperature (Temp_C) and one for dissolved oxygen (ODO_mgL) per survey date. I have two "Tows", one is S (start) and one E (end), I am only trying to plot the "S" tows for now.

I am having issues when plotting these, sometimes it comes out weird. I think it is because data was collected every second so there might be too many points. Is there a way I can plot this in a neater way? I would be okay with taking the mean every meter and having one temperature and one DO reading every meter instead of every second (i.e. 1 temp./DO reading at 1 m (average), 2m, 3m, 4m, 5m, etc...).

I am a type 1 diabetic and wear a continuous glucose monitor that measures my blood glucose levels every 5 minutes. The company that makes the CGM generates a report with a graph that looks like the figure at the bottom of this post. My goal is to learn how to recreate this graph for myself in a Jupyter notebook.

The data that I have, for example, looks like this:

The graph is using data from a 30 day period and summarizing the distribution of values at each point in time. Is there a name for this type of graph, and how can I create it myself using Pandas/matplotlib/seaborn?

So far, I have tried creating a graph with the IQR split by day which is rather easy - using ploty:

I have six different dataframes, some of this dataframes have 'NaN' values. I tried it without the if statements and it only worked on the dataframe that doesn't have 'NaN' values (I get this error: "ValueError: Columns must be same length as key" when I try it on the other dfs). What I'm trying to do is to create a function to split the df columns into two (air quality values and the unit).

[Editing this question completely] Thank you , for those who helped in building the Periodic Table successfully . As I completed it , I tried to link it with another of my project E-Search , which acts like Google and fetches answers , except that it will fetch me the data of the Periodic Table .

But , I got a problem - not with the searching but with the layout . I'm trying to layout the x-scrollbar in my canvas which will display results regarding the search . However , it is not properly done . Can anyone please help ?

Below here is my code :

I have a data set (original version, # A tibble: 33,478 x 12) of the form similar to the attached picture, and partial data:

dput(head(canals2, n=10))

Not sure why I am getting this wrong

I have a column in sqlite3 table containing all the chemical elements. There is a column called “Symbol”, where it contains symbols of chemicals. For example, H, Be, Mg.

I would like to pull out all characters from A-Z that does not appear in the column (not case sensitive). Below is what i have currently

I've had a bit of a look around Stackoverflow and the wider Internet and identified that the most common causes for this error are conflation of declaration (int var = 1;) and definition (int var;), and including .c files from .h files.

My small project I just split from one file into several is not doing any of these things. I'm very confused.

I made a copy of the project and deleted all the code in the copy (which was fun) until I reached here: