Apoptosis | Find which lines in which files in your project

My question is relevant to my previous one at How to efficiently join large pyspark dataframes and small python list for some NLP results on databricks.

I have worked out part of it and now stuck by another problem.

I have a small pyspark dataframe like :

I am trying to two data frames (df_a and df_b) in R (essentially I want to repopulate df_a with the updated data contained within df_b). The columns in df_b are all present in df_a. Within df_b there is (important) redundancy in ref_transcript_name, ref_transcript_id, and ref_gene_name, but all values of qry_transcript_id are unique and have a one-to-one relationship with df_a. My assumption here is that a left_join() would do the trick. I've tried:

1. df_c <- left_join(df_a, df_b) - here df_c is identical to df_b
2. df_c <- left_join(df_a, df_b, by = "qry_transcript_id") - here df_c contains the three non-guide columns of df_b as new columns of df_c.

I'm clearly missing something fundamental about the join functions here, but essentially I want to populate (most of) the missing values in df_a with the values from df_b.

Here are my data:

I need Python code that takes the strings in column x,y and matches these substrings in column Z and replace the substrings with a tagged version of the substrings as seen below

Input: Untagged substrings

After reading the following post, I tried to reproduce the example. However, the problem is that they have a simple matrix where one column is X and the other is Y. In my case, I have multiple columns that I am trying to plot. See example below.

This is a reproducible example data:

I want to collect specific information from data.xml with root[0] 'CaplockSet' contain more than 100 'Caplock' in which I need only author information to be extracted! Kindly help me with this, your support is highly appreciated.

Data :

I am trying to join two tables in spark data frame where the ngrams generated matches a list.

list of articles(df_sparklyr):

Yesterday, I asked this question on StackOverflow about how to import a file into a MySQL table. Today, I was told that IT has "disabled" LOAD DATA INFILE because of some security issue. So now I have to figure out how to create a table, load whatever data I can, and for the faulty column, add the values individually using INSERT or mysqlconnector in python. I've opted for the former, but I'm having an impossible time trying to figure out how to do this.

Here is the column in question:

I have a few functions I use to calculate some values off of a networkX graph, here's the code for them: