CCF | Confidential Consortium Framework | Cryptography library

I have a list of 200+ latitude and longitude coordinate pairs.

For each coordinate pair I want to create a dataframe which contains column district and column state. So my dataframe will have 3 columns cord, district and state.

For this I am using geopy library but I am unable to get record for more than 115 coordinates.

Sample Data

I am receiving json with dynamic one node based on sector like "DEL-BOM", "NYC-BOM". trying to parse but body getting null. I just add Dictionary and key as node and class as value but still not getting values in DeserializeObject.

I have the following data frame:

I have a csv file that looks like this:

I want a table (table1) to be displayed n times according the number entered by the user in the input form. Then for each instance of this table the user should be able to click on each row and another relevant table should be displayed.

So far I can produce table1 n times according to user input. But then the function myFunction_disease is only applying to the first iteration of table1. I want each copy of table1 to controlled independently depending on what the user clicks.

Here is jsfiddle: https://jsfiddle.net/k0x4y6d2/1/

I want to apply a method called CCF Sliding-Windows, in which I need to split my time series in windows of 90 days, overlapped by 45 days, and the last part needs to end at the exactly final day of the time series (in a way it can get overlapped with more than 45 days with the previous split).

To exemplify, there's an image to represent the application of this method:

Does anybody know how can I do this with R? I want to create a list that aggregates the time windows of the data frame, so I can purrr::map over to get the cross-correlation.

I am trying to do stratified sampling in R using the stratified function in the splitstackshape package. I have four strata (labeled 1:4). When setting the size = 1, it returns one row belonging to each strata (great!). However, I'm not able to increase my sample size by one.

I want it to select 5 rows: 4 of them belonging to strata 1:4, and the fifth one belonging to strata #1 (the strata that covers the most amount of area in my study site); and ideally this will be done without replacement so the second row that is sampled from strata #1 will not be the same as the first.

Setting the size = 1 - 1.99 always returns 1 row from each strata (4 total). Setting the size = 2 returns 8 rows (2 from each strata).

Dataframe

Consider the simple example below, borrowed from How to use the ccf() method in the statsmodels library?

I am using Python 3.8.10 in IDLE on Ubuntu 20.10.
In a few words, I have several .fits files from which I have to read some parameters. I already have my readfits function for this: it opens the file and adds the values that I need to a list. Now I need to make a function that applies readfits to some files in the current directory (not a problem) and then prints them in a table. The problem is that each of the lists that I have would be one of the columns of the table, so I do not know how to do that. I want to make it recursively, because there are actually 104 .fits file so it's quite a long thing to do manually.
Here's the code for now: