Dataviewer display of dataframe #13286
Description
Type: Bug
When you run this simple code:
import pandas as pd
df1 = pd.DataFrame([['a', 1], ['b', 2]],columns=['letter', 'number'])
df2 = pd.DataFrame([['c', 3], ['d', 4]],columns=['letter', 'number'])
result = pd.concat([df1, df2], axis=1)
and you try to visualize the "result" in the dataviewer whe debugging the file, it will display df2 duplicated instead of df1 next to df2. But when you use print it shows the correct dataframe. Can you please check?
Thanks,
Carlos
VS Code version: Code 1.75.1 (441438abd1ac652551dbe4d408dfcec8a499b8bf, 2023-02-08T21:32:34.589Z)
OS version: Windows_NT x64 10.0.22000
Modes:
Sandboxed: No
System Info
| Item | Value |
|---|---|
| CPUs | 11th Gen Intel(R) Core(TM) i7-11800H @ 2.30GHz (16 x 2304) |
| GPU Status | 2d_canvas: enabled canvas_oop_rasterization: disabled_off direct_rendering_display_compositor: disabled_off_ok gpu_compositing: enabled multiple_raster_threads: enabled_on opengl: enabled_on rasterization: enabled raw_draw: disabled_off_ok skia_renderer: enabled_on video_decode: enabled video_encode: enabled vulkan: disabled_off webgl: enabled webgl2: enabled webgpu: disabled_off |
| Load (avg) | undefined |
| Memory (System) | 31.73GB (19.12GB free) |
| Process Argv | --crash-reporter-id 1abcebac-c822-4a17-a0ba-a4b0b1a67ef8 |
| Screen Reader | no |
| VM | 0% |
Extensions (9)
| Extension | Author (truncated) | Version |
|---|---|---|
| vscode-docker | ms- | 1.23.3 |
| isort | ms- | 2022.8.0 |
| python | ms- | 2023.2.0 |
| vscode-pylance | ms- | 2023.2.30 |
| jupyter | ms- | 2023.1.2010391206 |
| jupyter-keymap | ms- | 1.0.0 |
| jupyter-renderers | ms- | 1.0.14 |
| vscode-jupyter-cell-tags | ms- | 0.1.6 |
| vscode-jupyter-slideshow | ms- | 0.1.5 |
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