mz | modernize node.js to current ECMAScript standards | Runtime Evironment library

I think you need this. Create a new vector on the desired sequence like mz through accumulate which doesn't replaces the value unless increased by N. Thereafter dense_rank has been used. You may safely use data.table::rleid instead of dense_rank if by any chance you may get repeating values.

One line defines:

My guess is that your docker container isn't running as the user and with the home you're expecting. I noticed that you hard coded /home/app/.aws/credentials

You should login to your container and discover what user it's running as and where your home is. You could run aws configure and then find where the credentials files were stored.

Many run as root so your command would look something like this docker run -v ~/.aws/:/root/.aws:ro your_image

Edit: Alternatively, you can pass the AWS_SHARED_CREDENTIALS_FILE environment variable of your file location directly. Here's more information: https://boto3.amazonaws.com/v1/documentation/api/1.9.42/guide/configuration.html

As suggested above, a handy way can be to assign a new 'period' variable and use facet_grid (with settings to ensure it doesn't expand each part to the same size):

Change from scale_y_discrete to scale_y_continuous:

The characters MZ are the first two bytes of .exe files.

https://en.m.wikipedia.org/wiki/DOS_MZ_executable

Sounds like however you’re launching the program, it’s trying to read itself as input. Check how you’re formatting the command line.

You can use anchors to match the start and the end of the string.

Currently you are using a character class [] but you could use an alternation | with a non capture group (?: and shorten the options a bit by grouping the characters in a character class.

Using your code, which uses the csvtojson library, you can just add this:

Here's how to do it using only built-in functions and modules included in Python's standard library.

As I mentioned in a comment, you will need to read in the entire CSV file first. This is because its row and columns need to be transposed in order to output them as an array the way you want. Fortunately doing that is easy using the built-in zip() function.

Also note the use of csv.reader instead of a csv.DictReader. This change was made because the zip() function couldn't (easily) be used on a list of dictionaries. The field names are still used, but it's not until the dictionary is created as describe next. Note that this will ignore the extra value in each row that does not have a fieldname.

You can use a dictionary comprehension to create one formatted the way you want before calling json.dump() to write it to the output file.