IRV | Instant-runoff voting tool | Frontend Framework library

I am trying to compare two dataframes and print the difference. When I try to compare I get a "ValueError: Can only compare identically-labeled Series objects"

Here are samples of the dataframes I am comparing.

I have a pandas DataFrame of basketball play-by-play data of the following format (simplified):

I am looking to implement some list comprehension using both a for loop and an if statement with an elif statement.

Some background: I am importing data from sports-ref regarding basketball players. I wanted to create a list of all players that average at least 20 points per game this year, but I only want one instance of each player. For example James Harden has averaged more 20 or more points for multiple teams this season, and BBALLREF has a separate entry in his table for each team, and an additional one for the total from both teams. For my purposes I only need the total and am not interested in the data broken down by team. I have implemented list comprehension to compose the list of only 20 point scorers, but not such that it removes multiple instances of the same player and leaves only the total for said player.

Here is the code that reproduces the appropriate pandas dataframe:

I am struggling with the php-curl installation which cannot be found, I have seen plenty of topics related to it but it unfortunatelly did not help much. I want it for an curl function in a php program. I tried it via adding ppa:ondrej/php repository, but I think it simply does not help much.

I have a list called transactions_clean, cleaned up from whitespace etc., look like this:

I have a pyspark dataframe column with names:

I was trying to implement IRV in JavaScript, but I only get 10 pairs of votes per 5 seconds (for development testing only), so it was impractical to add to an array each time that a new pair of votes arrive to a client. So I was wondering if there is any way of handle the data when it was received and keep consistency with the new data that will be received.

Based on my previous question, I built a simple JSON file with one "row" per line. I'm still in shock, because this is not valid JSON, as it doesn't have square brackets around it.

One data file:

I'm putting JSON data files into S3, and use AWS-Glue to build the table definition. I have about 120 fields per each json "row". One of the fields is called "timestamp" in lower case. I have 1000s of large files, and would hate to change them all.

Here (https://docs.aws.amazon.com/athena/latest/ug/reserved-words.html), I see TIMESTAMP in DDL is a reserved word. Does that mean I won't be able to read those JSON file from Athena.

I'm getting this error, which lead me to the above being a potential reason.

I clicked the 3 dots to the right of the tablename, and clicked "Preview Table", which built and ran this select statement: