In addition to using glob expressions directly in Dask, you can also use Python's built-in glob module to generate file paths that match a pattern and then pass them to Dask functions.
The glob.glob() function takes a pattern string as input and returns a list of file paths that match the pattern. For example, to get a list of all text files in a directory, you can use the following code:
import globtxt_files = glob.glob('/path/to/my/files/*.txt') |
This will return a list of all file paths in the /path/to/my/files directory that end with .txt.
You can then pass this list of file paths to a Dask function, such as dask.bag.read_text or dask.dataframe.read_csv, to create a Dask bag or dataframe that contains the data from all the files.
For example, to create a Dask bag containing the lines of all the text files, you can use the following code: code
import dask.bag as dbmy_bag = db.read_text(txt_files) |
This will create a Dask bag that contains the lines of all the text files specified in the txt_files list.
Using glob to generate file paths can be useful when you need more control over which files are read by Dask, or when you need to perform additional processing on the file paths before passing them to Dask.