Swell | Logging utility for Swift and Objective C

I observed some samples over a longer period of time and measured one variable(say "rel.Volume"). That gives me a data frame of the following structure:

I am trying to load a .txt file using pandas read_csv function.

My data looks like this:

I am having trouble understanding what this command does and more importantly the significance of both the $s in the command. I started by making a file foo and filled it with words like SHELL, WELL, etc. I then tried the command, however it did not print anything, so I thought that maybe something was wrong with my terminal. See my terminal below:

I have an implementation of IdentityServer4 which connects with Azure AD for authentication (OIDC). In the callback method, using the IdentityServertools, I am generating the access_token and redirecting the user to SPA with the same. The SPA then stores the access_token into localstorage and uses it for authentication.

Normally, when my SPA app hits the token endpoint of the IdentityServer4, it gives access_token and refresh_token and then uses refresh_token to re-authenticate a returning user.

In this case of SSO with Azure AD, do I need to generate refresh_token manually? If yes, I can build on top of default implementation and that's not the problem (However, the docs suggest against of changing the IRefreshTokenService implementation or building something from scratch)

My real question is, is there a need of refresh_token here? Because refresh_tokens are stored in DB and never get's deleted and after sometime, these refresh_tokens table will swell (right now it already has 80k rows). The user is expected to click on a small tile inside SAP's Successfactor - that will open the signin/consent screen of Azure or will directly take the user to the main page where zhe will just answer a question and done. So it's hardly 2-3 mins business. So I can continue to generate access_tokens from my IdentityServer4 for every click as I don't expect the user to stay authenticated in the browser if zhe has logged out from SAP's Successfactor (or any other app linked with Azure).

Please advise, if I should generate refresh_token? Is it a good architecture?

Using D3, I want to create a polar graph like this figure.

Following the volcano example, I can get the contour correctly rendered.

How do I translate the contours onto a circle to create a polar graph?

The initial data I'm using is a 2d array, where the first dimension (array[n]) represents period and the second dimension (array[n][0]) represents force. See below for a sample of data and the code I'm using to draw the contour graph.

I have a multidimensional 'mean direction of total ocean swell' (mdts), netCDF data set. The dimensions are time (in hours), latitude, and longitude. I simply wish to group the hourly data by day and then for each day, for each lat/lon grid, determine which of 16 predefined directional bins contains the most hours (maximum could be 24). The direction value associated with the bin with the most hours, for each lat/lon grid, would then be assigned as the direction for that particular day, for each lat/lon grid. I'm applying a custom function to the groupby command and that is where the error is occurring. I think I'm not understanding what is being passed to the function.

Note: each netCDF file represents 1979-2019 for one month. Therefore, I'm using groupby instead of resample as resample adds the 11 other months not in the file. I also first converted all the hours to 00:00 so that groupby would work for grouping by days.

Note: my actual code is set to loop through several netCDF files. I've simplified it here for one file. My simplified code:

I'm creating a modal and I have to render the following: On the left side (in order):

1. A heading that says the maximum number of entries has been reached
2. heading that informs the user if any row contains and invalid name
3. heading that informs the user if any row contains and invalid sector

On the right side:

1. A save button

My div so far:

Attempt

After reading a large json file and capturing only the 'text' column, I would like to add a column to dataframe and set all rows to a specific value:

i keep getting TypeError: string indices must be integers in my python code . this is the error i getting