when to support torch and numpy data?Please
Opened this issue · 4 comments
Type: Feature Request
Behaviour
Expected vs. Actual
XXX
Steps to reproduce:
- XXX
Diagnostic data
- Jupyter extension version: 2024.7.0
- Python extension version: 2024.12.1
- .NET Install Tool for Extension Authors extension version: Not installed
- Python package dependencies:
{
"installed": {
"pandas": "2.2.2",
"pyarrow": "17.0.0"
},
"required": {
"pandas": "1.2.0"
},
"unsatisfied": []
}- Entrypoint: JupyterDataViewer
- Active mode: dataViewer
it is necessary for me to see torch and numpy data with more than two dimesion, please support them.
Extension version: 1.6.0
VS Code version: Code 1.92.0 (b1c0a14de1414fcdaa400695b4db1c0799bc3124, 2024-07-31T23:26:45.634Z)
OS version: Windows_NT x64 10.0.19045
Modes:
Remote OS version: Linux x64 5.15.0-113-generic
Hi @yangtian6781, thanks for opening this request! This is in our backlog, and we'll let you know when there are any updates here.
Please also feel free to let us know if you have any feedback or suggestions for what might be an ideal experience for viewing multi-dimensional data in your workflow. Thanks!
Hi @yangtian6781, thanks for opening this request! This is in our backlog, and we'll let you know when there are any updates here.
Please also feel free to let us know if you have any feedback or suggestions for what might be an ideal experience for viewing multi-dimensional data in your workflow. Thanks!
Hi @pwang347, thank you for your replay! you konw my jupyter extension and data wrangler extension is in latest version, when i upgrade my extension, i can't view pytorch or numpy multi-dimension data by jupyter extension and i must use data wangler, which is a nice extension but it need time to develop. this feature is quit imporant for us machine learning engineers, i will appreciate it if you could support this feature as soon as possible.Thanks for your work!
Hi @pwang347 , The plugin works really well, and I'm hoping to get the slicing feature for multidimensional data online quickly! It's necessary for analyzing data. Thank you!