kale | Jupyter Interactive Workflows for High Performance Computing | Performance Testing library

Can someone help me with a solution to update an array object inside the MongoDB document, I've tried a couple of methods but still it's to updating, here is my document that I want to update the array in the document.

I'm trying to access my JSON data, but it returns me this error. I already manipulated the structure of my JSON but nothing seems to fix. I tried to use [{:[{}]}] or {:[{}]} for JSON format but the error persist. I want to display the data that I can get into a container.

ERROR: RangeError (RangeError (index): Invalid value: Valid value range is empty: 0)

This is my code.

I am trying to get the data from a json file. But I can't done it right. I don't know what is wrong with this. Hope to get an advice or tutorial.

The error I get is : Undefined name 'breakfast'. Then when I change breakfast to Breakfast, I got the error : Instance member '...' can't be accessed using static access. Nothing else. I hope to get an explanation. I'm just a newbie to flutter. I tried to look for the problem and explanation to the web but nothing fix it.

Here is the code:

I have a data table that includes two columns (crop and plotnum) that identify a group (crop) and elements of the group (plotnum). I want to calculate the ratio of the value of subgroups within a group to the value of one of the subgroups in the group (e.g. plot_4). The idea is to compare the performance of the subgroup within the group.

Here's a sample data table.

What I'm trying is something pretty basic, but I can't do it because the examples I see aren't anything similar to what I'm looking for.

There are 2 select, one of them you choose manually and the other dynamically changes depending on the value of the first one.

If the value of the first select is 1, that in the second one they only appear whose value is 1 as well.

I want to make it 100% JavaScript, I don't want any JQuery.

I have a Python dictionary basket={fruit:'apple',vegetable:'kale'}

and a helper function , that wherever it sees the words fruits and vegetables in the Execution query , it will replace it with apple and kale respectively.

Helper function :

I am working with a messy wide format dataset of CROP data where each crop has six associated variables (crop type, crop acreage, nitrogen in soil, nitrogen applied, organic v. conventional, and notes). There are 50 sets of these 6 variables, 300 columns total, with the unfortunate naming convention: c.0. | a.0. | s.0. | f.0. | o.0. | r.0. |, .... , | c.23. | a.23 | s.23. | f.23. |o.23. | r.23. |.

I want to iterate across sequences of columns (the 6 columns associated with each crop), saving each iteration, or individual crop, as a list (or df) with the common colnames c(CROP, CROP_ACREAGE, SOIL_N, APP_N, TYPE, NOTES). Once all of the crops have been iterated through, I want to build a tidy df by rbinding the 50 individual crops datasets.

Below is an example dataset with only two sets of crop columns, four growers, across three years:

A reactive value in my shiny app does not recalculate when it is being called from inside DT::renderDT function after the 1st calculation.

Here is my code:

I am creating some counts of the categories per columns in a df. All possible categories are not present in the column - but they are stored in a dictionary. Is there a possible way to append the categories not in the data back into the value_counts data? see below for some code and examples of the expected output. there are many of these columns so its not good to append at the end manually. Thank you so much!

dictionary with all possible responses