VSCode Docker container not connecting files

Question

I'm using a container for Tensorflow-GPU environment to avoid the hassle of setting one manually and I was following this guide: https://code.visualstudio.com/docs/remote/containers

I've set up the container and installed the necessary extensions and then I try to run "Open Folder in a Container" command. It works fine but none of my files get linked to the new working area inside the docker.

I felt like it was saying that I should get access to all you existing files and folders for the project inside a container.

Is this not how this works? What are the normal way of linking project from the host system onto the docker?

EDIT: This is what I get when I open my container with none of my files present

Answer 1

Here's one quick Python 3 solution for your DataFrame (assuming your table will be non-empty as a whole for using this code snippet)

# ... following your code up to df= padas.DataFrame() line 

tags_ = []
for rowIndex in range(len(df[df.columns[0]])):
    tag_ = ""
    for col in df:
        if col.startswith('a'):
            try: tag_ += str(int(df[col][rowIndex]))
            except: break
    tags_.append(tag_)

df.insert(len(df.columns), "tag_", tags_)

Here, tags_ is just a list to store your string concatenated values per row until a numpy.nan is encountered (though code doesn't check for it specifically) The nested loops iterate through every row and column of your DataFrame, and non-empty DataFrame columns is required to assure the identification of rows in it, at the initial rowIndex for-loop.

df.insert(<location>, <column_name>, <values>) finally inserts the desired tag_ column as the ending column of your DataFrame.

Hopefully, it helps! Any corrections against it are most welcome.