Improve sorting on DataFrame

[jordanmontt]

Currently, we don't support multiColumn sorting. For example let's use this data as example: https://www.kaggle.com/datasets/prashant111/the-simpsons-dataset?resource=download

I have this DataFrame that I want to sort by season and by episode

To sort it by season and by episode I need to do this:

df
    sortBy: #number_in_season;
    sortBy: #season

If I do it the other way around, first season and then the episode it does not work.

This raise the question that we need a better api and mechanism to sort a dataframe. Some options can be:

With ChainedSortFunction

df sortBy: #season ascending, #number_in_season ascending

Or more pandas like: https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.sort_values.html

df sortValuesDescending: ( #season #number_in_season)
df sortValuesAscending: ( #season #number_in_season)

Also we need to add the sorted methods that return a new DataFrame.

[jordanmontt]

Also, we need to add a method that allows to save a DataFrame as a CSV file without the id. Currently, the only method available is DataFrame>>#writeToCsv: but automatically adds en empty colonne at the beginning with the internal id that was calculating. We should be able to save without that id