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I have a collection 'collectionName' with many documents like these:

I am working on Labview. I want to flatten the Express data type coming out from my DAQ-Assistent into JSON string. I am using JKI JSON but it is showing an error of unsupported data type: Expressdata. Are there any suggestions?

I have a file with almost 2 hundred columns, each with a varying number of rows similar to the following (but approximately 80 rows in length):

I have the following table called Stores:

I am trying to make a simple word game. The idea is user clicks a button and server generates a letter and stores it in an array, and that process repeats ten times (temporary workaround i used below is that i generate all 11 letters at once). Now from the chosen letters user comes up with the longest word he/she can and user then submits the word, and computer checks whether the word is in the dictionary, if it is, it says 'Success' if it isn't, it says 'xzy word doesn't appear in our dictionary.' I am not looking for for all the checks, and security checks, just that a) computer stores the letter in an array as user clicks the button b) computer does the check if user subbmited word is in predifined dictionary (which is in separate .txt file).

Problem(s) i am having at the moment is that every time i click the button all my arrays get overwritten either with new letter, or are just empty. I suspect that the act of submiting is reseting everything, but i can't seem to make the program remember what letters were chosen and doesn't check if word exists in my dictionary. How one would go about storing stuff permanently? the code is below.

A column in a pandas dataframe contains lists of values.

Using a dictionary, I would like to create a new column with mapped values using the dictionary, and for any values not in the dictionary, those values are removed.

Here is a minimal example:

Set up of the dataframe

This is a follow up to this question

How to map a unique number to each unique string in a column of lists

Which asks how to map a unique number to items across multiple pandas columns containing lists.

The solution given seems to be very slow when the number of items (total of items in column A and column B) is in the range of ~40 million. I have found some ways that can assign unique numbers to datasets for ~40 million items faster, but none quite for the situation of multiple columns , one of which contains a list.

Here was the minimal example and solution from the link above:

Setting up the dataframe

In a pandas dataframe, I have a column where each row contains a list of strings. For each unique string in, I would like to assign a unique number.

If possible, I would like to assign a unique number to each unique string in multiple columns.

Here's a minimal example:

Setting up the initial pandas dataframe

I'm trying to check if the html tag: