Failed to load the data frame: TypeError: Cannot convert numpy.ndarray to numpy.ndarray

[Rezvanpm]

Type: Bug

Behaviour

Expected vs. Actual

XXX

Steps to reproduce:

1. XXX

Diagnostic data

• Jupyter extension version: 2024.11.0
• Python extension version: 2024.22.0
• .NET Install Tool for Extension Authors extension version: Not installed
• Python package dependencies:

{
  "installed": {
    "pandas": "2.2.2",
    "pyarrow": "17.0.0"
  },
  "required": {
    "pandas": "1.4.0",
    "pyarrow": "0.0.1"
  },
  "unsatisfied": []
}

• Entrypoint: Reopen
• Active mode: dataWrangler

Extension version: 1.14.0
VS Code version: Code 1.96.1 (Universal) (42b266171e51a016313f47d0c48aca9295b9cbb2, 2024-12-17T17:50:05.206Z)
OS version: Darwin arm64 24.1.0
Modes:

System Info

Item	Value
CPUs	Apple M1 (8 x 2400)
GPU Status	2d_canvas: enabled canvas_oop_rasterization: enabled_on 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_graphite: disabled_off video_decode: enabled video_encode: enabled webgl: enabled webgl2: enabled webgpu: enabled webnn: disabled_off
Load (avg)	6, 4, 3
Memory (System)	8.00GB (0.07GB free)
Process Argv	--crash-reporter-id 46fe86d7-be70-4fdd-9f71-aee5d8bf4648
Screen Reader	no
VM	0%

A/B Experiments

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binariesv615:30325510
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py29gd2263:31024239
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azure-dev_surveyone:30548225
962ge761:30959799
pythonnoceb:30805159
pythonmypyd1:30879173
2e7ec940:31000449
pythontbext0:30879054
cppperfnew:31000557
dsvsc020:30976470
pythonait:31006305
dsvsc021:30996838
dvdeprecation:31068756
dwnewjupytercf:31046870
nativerepl2:31139839
pythonrstrctxt:31112756
nativeloc2:31192216
cf971741:31144450
iacca1:31171482
notype1:31157159
5fd0e150:31155592
dwcopilot:31170013
stablechunks:31184530
6074i472:31201624

[pwang347]

Hi @Rezvanpm, thank you for opening this issue. From the error message, it seems like this can be caused by incompatible Pandas and Numpy versions. Could you please try some of the suggestions listed here?