I would like to use a small CSV as an example dataset.
My Dockerfile is as follows (same as the example Dockerfile except I COPY the file into the container and I pip install polars.
FROM ubuntu:focal # Installing different modules COPY data /usercode RUN apt update && apt install -y software-properties-common &&\ add-apt-repository ppa:deadsnakes/ppa &&\ apt-get -y install curl &&\ apt install -y python3.8 &&\ apt-get install -y python3-distutils python3-apt &&\ curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py && python3 get-pip.py &&\ pip3 install pandas plotly polars matplotlib
usercode as the target directory because I can see that’s the directory the code widget runs in. I’m not sure if this is correct.
I then create a tarball that includes the
data directory where the file is
tar -czvf docker-edu.tar.gz Dockerfile data
I upload this and the image builds.
In the code widget I can see I’m in the
usercode directory but the available files are:
‘__ed_mem.txt’,’ __ed_stdout.txt’,main.py’,’__ed_stderr.txt’, ‘__ed_script.sh’,‘output’
Is it possible for my to upload a CSV file and access it in this way in python?
Thanks for any help