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I have a dataframe df as follows

I have a dataframe df

I am looking to store in a column (matched_pattern), as a string value, the matched pattern for a string field (title) from a multi-like case when statement in SQL.

Example table:

I have a dataframe with hundreds of columns (stocks). My issue is that I need to always pull a specific column (date) followed by an array/list of others (dynamic).

Previously I was doing something like this:

Here are the codes that I use:

I am currently attempting to run a for loop on about 500 stock tickers and attempting to create a chart for all of them. I have succeeded in doing this but my for loop breaks on this error Error in runSum(x, n) : n = 20 is outside valid range: [1, 5] I got the stock tickers from BatchGetSymbols library.

Here is my script at the bottom is my for loop:

df1

My aim is to download stock prices using the quantmod library for a large number of ticker symbols (~700) and merge the results in a single dataframe which I will save as a csv file. I have a list of ticker symbols but not all of them are downloadable by quantmod.

So when I pass the list with the ticker symbols to the getSymbols() method, once it encounters a problem with a particular ticker symbol it stops and returns an exception. I am trying to circumvent this behavior with a for loop and the try method, but I fail.

Let's look at some code:

When I try to download two ticker symbols that are downloadable and then merge them into one xts object I succeed:

I want to filter the positions array and remove any positions that are represented in the people array.

I've tried a few combinations of _.forEach and _.filter but just can't seem to figure it out.