Closed quangphu1912 closed 11 months ago
DonJayamanne
commented
1 year ago Thanks you for filing this issue and sorry you are running into this.
Based on the logs it seems that the pandas package is not detected in the environment.
Please can you confirm you have installed it into the anaconda3 environment and not some other python enviornment.
Try the following to determine where it is installed
import pandas
pandas.__file__
quangphu1912
commented
1 year ago Hi Don,
Yes, I have pandas installed it into anaconda3 env.
import pandas pandas.file '/Users/WangFu/opt/anaconda3/lib/python3.9/site-packages/pandas/init.py' pandas.version '2.0.3'
quangphu1912
commented
1 year ago I think there is some bug introduced in VSCode arm64 version. I noticed that error since I just installed arm64 VS Code version. Before that I believe I used the other version and it was fine.
DonJayamanne
commented
1 year ago @quangphu1912 Are you still running into this issue?
quangphu1912
commented
1 year ago HI @DonJayamanne Yes, I am. still showing same error message when I click to view the data in dataviewer.
15:56:56.787 [error] Error: Python package 'pandas' version 0.20.0 (or above) is required for viewing data. at kP.promptInstall (~/.vscode/extensions/ms-toolsai.jupyter-2023.8.1002501831-darwin-arm64/out/extension.node.js:24:606858)
My pandas version is as below:
import pandas pandas.__file__
/Users/WangFu/opt/anaconda3/lib/python3.9/site-packages/pandas/init.py
pandas.version`
'2.0.3'
I also updated Jupyer extension to versions v2023.8.1002501831 and the problem remains. Thank you for taking a a look at this matter.
jlf-incom
commented
1 year ago I am having a (sort of) related issue using the extension with an emulated amd64 dev container in Mac M2.
The same version of pandas in installed locally and in the dev container, however the python command used to inspect the local pandas version returns extra lines (due to the emulation):
10:25:38.605 [info] Process Execution: ~/venv/bin/python -c "import pandas;print(pandas.__version__)"
10:25:41.647 [warn] Failed to get version of Pandas to use the Data Viewer. <jemalloc>: MADV_DONTNEED does not work (memset will be used instead)
<jemalloc>: (This is the expected behaviour if you are running under QEMU)So whenever I open the data-viewer, I am prompted to install pandas (which is already installed). I couldn't find a way to suppress those warnings. Any workarounds for this?
DonJayamanne
commented
1 year ago @quangphu1912 Please can you update to the latest Pre-Release version of the Jupyter extehnsion 2023.10.* Please could you enable logging as follows:
Jupyter->LoggingverboseJupyter output panel.DonJayamanne
commented
1 year ago however the python command used to inspect the local pandas version returns extra lines (due to the emulation): henever I open the data-viewer, I am prompted to install pandas (which is already installed). I couldn't find a way to suppress those warnings. Any workarounds for this?
~/venv/bin/python -c "import pandas;print(pandas.__version__)", jlf-incom
commented
1 year ago @DonJayamanne Thanks for following up!
however the python command used to inspect the local pandas version returns extra lines (due to the emulation): henever I open the data-viewer, I am prompted to install pandas (which is already installed). I couldn't find a way to suppress those warnings. Any workarounds for this?
- Is it only failing in the container?
Yes, all works fine running locally.
- What do you get when you open the terminal in the remote container and then run the code
~/venv/bin/python -c "import pandas;print(pandas.__version__)",
This is what I got:
$ ~/venv/bin/python -c "import pandas;print(pandas.__version__)"
<jemalloc>: MADV_DONTNEED does not work (memset will be used instead)
<jemalloc>: (This is the expected behaviour if you are running under QEMU)
2.1.2Hi @DonJayamanne
It prompt me to install pandas in every review, and it took a few minutes to install some packages.
I checked my pandas: pd.file '/Users/WangFu/opt/anaconda3/lib/python3.9/site-packages/pandas/init.py'
Visual Studio Code (1.83.1, undefined, desktop)
Jupyter Extension Version: 2023.10.1003011100.
Python Extension Version: 2023.18.0.
Platform: darwin (arm64).
Multiple Workspace folders opened ~/GitHub/ML-AZ, ~/GitHub/python_projects, ~/GitHub/Python-DS-Handbook, ~/GitHub/Python-Mckinney, ~/GitHub/python-cheatsheet, ~/GitHub/py_codebasics, ~/GitHub/data_professor_code, ~/GitHub/Statistics-for-DS, ~/GitHub/ML-BindiChen
00:29:23.956 [debug] Get Custom Env Variables, Class name = Ul (started execution), Arg 1: undefined, Arg 2: "RunPythonCode"
00:29:23.956 [info] Start refreshing Kernel Picker (1698726563956)
00:29:23.957 [info] Using Pylance
00:29:23.974 [debug] Get Custom Env Variables, Class name = Ul, completed in 18ms, has a truthy return value, Arg 1: undefined, Arg 2: "RunPythonCode"
00:29:23.974 [debug] Jupyter Paths /kernels:
00:29:23.975 [debug] Kernel Spec Root Paths, /usr/share/jupyter/kernels, /usr/local/share/jupyter/kernels, ~/Library/Jupyter/kernels
00:29:23.975 [debug] Search for KernelSpecs in Interpreter ~/opt/anaconda3/bin/python
00:29:23.975 [debug] Finding Global Python KernelSpecs
00:29:23.982 [debug] Getting activated env variables, Class name = $a (started execution), Arg 1: "~/GitHub/ML-AZ", Arg 2: "~/opt/anaconda3/bin/python", Arg 3: undefined
00:29:23.982 [debug] Get Custom Env Variables, Class name = Ul (started execution), Arg 1: "~/GitHub/ML-AZ", Arg 2: "RunPythonCode"
00:29:23.982 [debug] Get Custom Env Variables, Class name = Ul, completed in 0ms, has a truthy return value, Arg 1: "~/GitHub/ML-AZ", Arg 2: "RunPythonCode"
00:29:23.986 [debug] Search for KernelSpecs in Interpreter /usr/local/bin/python3.9
00:29:23.986 [debug] Search for KernelSpecs in Interpreter ~/opt/anaconda3/envs/DSprojects/bin/python
00:29:23.986 [debug] Search for KernelSpecs in Interpreter /usr/bin/python3
00:29:23.986 [debug] Search for KernelSpecs in Interpreter /usr/local/bin/python3.10
00:29:23.986 [debug] Search for KernelSpecs in Interpreter /usr/local/bin/python3
00:29:23.986 [debug] Full interpreter list is length: 6, ~/opt/anaconda3/bin/python:base:Conda:~/opt/anaconda3/bin/python, /usr/local/bin/python3.9::Unknown:/usr/local/bin/python3.9, ~/opt/anaconda3/envs/DSprojects/bin/python:DSprojects:Conda:~/opt/anaconda3/envs/DSprojects/bin/python, /usr/bin/python3::Unknown:/usr/bin/python3, /usr/local/bin/python3.10::Unknown:/usr/local/bin/python3.10, /usr/local/bin/python3::Unknown:/usr/local/bin/python3
00:29:24.131 [debug] Kernels for interpreter /usr/local/bin/python3.9 are .jvsc74a57bd0397704579725e15f5c7cb49fe5f0341eb7531c82d19f2c29d197e8b64ab5776b./usr/local/bin/python3.9./usr/local/bin/python3.9.-m#ipykernel_launcher
00:29:24.131 [debug] Kernels for interpreter /usr/bin/python3 are .jvsc74a57bd031f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6./usr/bin/python3./usr/bin/python3.-m#ipykernel_launcher
00:29:24.131 [debug] Kernels for interpreter /usr/local/bin/python3.10 are .jvsc74a57bd07e1998ff7f8aa20ada591c520b972326324e5ea05489af9e422744c7c09f6dad./usr/local/bin/python3.10./usr/local/bin/python3.10.-m#ipykernel_launcher
00:29:24.131 [debug] Kernels for interpreter /usr/local/bin/python3 are .jvsc74a57bd0aee8b7b246df8f9039afb4144a1f6fd8d2ca17a180786b69acc140d282b71a49./usr/local/bin/python3./usr/local/bin/python3.-m#ipykernel_launcher
00:29:24.162 [debug] Loading kernelspec from ~/opt/anaconda3/share/jupyter/kernels/python3/kernel.json for ~/opt/anaconda3/bin/python
00:29:24.177 [debug] KernelProvider switched kernel to id = .jvsc74a57bd0a77702711f5a315dacae05aa6bda625e0afccebd9d0439d6f703ad649e059713.~/opt/anaconda3/python.~/opt/anaconda3/python.-m#ipykernel_launcher
00:29:24.177 [debug] start the kernel, options.disableUI=true for ~/GitHub/ML-AZ/Z.Model Selection/Classification/decision_tree_classification.ipynb
00:29:24.177 [debug] Controller selection change completed
00:29:24.178 [debug] KernelProvider switched kernel to id = .jvsc74a57bd0a77702711f5a315dacae05aa6bda625e0afccebd9d0439d6f703ad649e059713.~/opt/anaconda3/python.~/opt/anaconda3/python.-m#ipykernel_launcher
00:29:24.178 [debug] start the kernel, options.disableUI=true for ~/GitHub/python_projects/01.Python_Study/Python Library Guides/Scikit learn/05.02-Introducing-Scikit-Learn.ipynb
00:29:24.178 [debug] Controller selection change completed
00:29:24.178 [debug] KernelProvider switched kernel to id = .jvsc74a57bd0a77702711f5a315dacae05aa6bda625e0afccebd9d0439d6f703ad649e059713.~/opt/anaconda3/python.~/opt/anaconda3/python.-m#ipykernel_launcher
00:29:24.178 [debug] start the kernel, options.disableUI=true for ~/GitHub/python_projects/01.Python_Study/Practice notebook/2022/12/Doordash_stratascratch.ipynb
00:29:24.178 [debug] Controller selection change completed
00:29:24.643 [debug] Loading kernelspec from ~/opt/anaconda3/envs/DSprojects/share/jupyter/kernels/python3/kernel.json for ~/opt/anaconda3/envs/DSprojects/bin/python
00:29:24.756 [info] Starting Kernel startUsingPythonInterpreter, .jvsc74a57bd0a77702711f5a315dacae05aa6bda625e0afccebd9d0439d6f703ad649e059713.~/opt/anaconda3/python.~/opt/anaconda3/python.-m#ipykernel_launcher (Python Path: ~/opt/anaconda3/bin/python, Conda, base, 3.9.7) for '~/GitHub/ML-AZ/Z.Model Selection/Classification/decision_tree_classification.ipynb' (disableUI=true)
00:29:24.756 [debug] Creating raw notebook for resource '~/GitHub/ML-AZ/Z.Model Selection/Classification/decision_tree_classification.ipynb'
00:29:24.756 [info] Starting Kernel startUsingPythonInterpreter, .jvsc74a57bd0a77702711f5a315dacae05aa6bda625e0afccebd9d0439d6f703ad649e059713.~/opt/anaconda3/python.~/opt/anaconda3/python.-m#ipykernel_launcher (Python Path: ~/opt/anaconda3/bin/python, Conda, base, 3.9.7) for '~/GitHub/python_projects/01.Python_Study/Python Library Guides/Scikit learn/05.02-Introducing-Scikit-Learn.ipynb' (disableUI=true)
00:29:24.756 [debug] Creating raw notebook for resource '~/GitHub/python_projects/01.Python_Study/Python Library Guides/Scikit learn/05.02-Introducing-Scikit-Learn.ipynb'
00:29:24.756 [info] Starting Kernel startUsingPythonInterpreter, .jvsc74a57bd0a77702711f5a315dacae05aa6bda625e0afccebd9d0439d6f703ad649e059713.~/opt/anaconda3/python.~/opt/anaconda3/python.-m#ipykernel_launcher (Python Path: ~/opt/anaconda3/bin/python, Conda, base, 3.9.7) for '~/GitHub/python_projects/01.Python_Study/Practice notebook/2022/12/Doordash_stratascratch.ipynb' (disableUI=true)
00:29:24.756 [debug] Creating raw notebook for resource '~/GitHub/python_projects/01.Python_Study/Practice notebook/2022/12/Doordash_stratascratch.ipynb'
00:29:24.904 [debug] Kernel Launcher. launch, Class name = Fv (started execution), Arg 1: "~/opt/anaconda3/python.~/opt/anaconda3/python.-m#ipykernel_launcher", Arg 2: 60000, Arg 3: "~/GitHub/ML-AZ/Z.Model Selection/Classification/decision_tree_classification.ipynb", Arg 4: "~/GitHub/ML-AZ/Z.Model Selection/Classification", Arg 5: ""
00:29:24.907 [debug] Getting activated env variables, Class name = $a (started execution), Arg 1: "~/GitHub/ML-AZ/Z.Model Selection/Classification/decision_tree_classification.ipynb", Arg 2: "~/opt/anaconda3/bin/python", Arg 3: undefined
00:29:24.907 [debug] Get Custom Env Variables, Class name = Ul (started execution), Arg 1: "~/GitHub/ML-AZ/Z.Model Selection/Classification/decision_tree_classification.ipynb", Arg 2: "RunPythonCode"
00:29:24.907 [debug] Get Custom Env Variables, Class name = Ul, completed in 0ms, has a truthy return value, Arg 1: "~/GitHub/ML-AZ/Z.Model Selection/Classification/decision_tree_classification.ipynb", Arg 2: "RunPythonCode"
00:29:24.919 [debug] Kernel Launcher. launch, Class name = Fv (started execution), Arg 1: "~/opt/anaconda3/python.~/opt/anaconda3/python.-m#ipykernel_launcher", Arg 2: 60000, Arg 3: "~/GitHub/python_projects/01.Python_Study/Python Library Guides/Scikit learn/05.02-Introducing-Scikit-Learn.ipynb", Arg 4: "~/GitHub/python_projects/01.Python_Study/Python Library Guides/Scikit learn", Arg 5: ""
00:29:24.920 [debug] Getting activated env variables, Class name = $a (started execution), Arg 1: "~/GitHub/python_projects/01.Python_Study/Python Library Guides/Scikit learn/05.02-Introducing-Scikit-Learn.ipynb", Arg 2: "~/opt/anaconda3/bin/python", Arg 3: undefined
00:29:24.920 [debug] Get Custom Env Variables, Class name = Ul (started execution), Arg 1: "~/GitHub/python_projects/01.Python_Study/Python Library Guides/Scikit learn/05.02-Introducing-Scikit-Learn.ipynb", Arg 2: "RunPythonCode"
00:29:24.921 [debug] Get Custom Env Variables, Class name = Ul, completed in 1ms, has a truthy return value, Arg 1: "~/GitHub/python_projects/01.Python_Study/Python Library Guides/Scikit learn/05.02-Introducing-Scikit-Learn.ipynb", Arg 2: "RunPythonCode"
00:29:24.924 [debug] Kernel Launcher. launch, Class name = Fv (started execution), Arg 1: "~/opt/anaconda3/python.~/opt/anaconda3/python.-m#ipykernel_launcher", Arg 2: 60000, Arg 3: "~/GitHub/python_projects/01.Python_Study/Practice notebook/2022/12/Doordash_stratascratch.ipynb", Arg 4: "~/GitHub/python_projects/01.Python_Study/Practice notebook/2022/12", Arg 5: ""
00:29:24.925 [debug] Getting activated env variables, Class name = $a (started execution), Arg 1: "~/GitHub/python_projects/01.Python_Study/Practice notebook/2022/12/Doordash_stratascratch.ipynb", Arg 2: "~/opt/anaconda3/bin/python", Arg 3: undefined
00:29:24.925 [debug] Get Custom Env Variables, Class name = Ul (started execution), Arg 1: "~/GitHub/python_projects/01.Python_Study/Practice notebook/2022/12/Doordash_stratascratch.ipynb", Arg 2: "RunPythonCode"
00:29:24.925 [debug] Get Custom Env Variables, Class name = Ul, completed in 0ms, has a truthy return value, Arg 1: "~/GitHub/python_projects/01.Python_Study/Practice notebook/2022/12/Doordash_stratascratch.ipynb", Arg 2: "RunPythonCode"
00:29:24.976 [debug] Kernel Specs found in interpreter ~/opt/anaconda3/bin/python are [{"specFile":"~/opt/anaconda3/share/jupyter/kernels/python3/kernel.json","interpreterPath":"~/opt/anaconda3/bin/python","isRegisteredByVSC":"registeredByNewVersionOfExt","name":"pythonjvsc74a57bd0a77702711f5a315dacae05aa6bda625e0afccebd9d0439d6f703ad649e059713","argv":["~/opt/anaconda3/bin/python","-m","ipykernel_launcher","-f","{connection_file}"],"language":"python","executable":"~/opt/anaconda3/bin/python","display_name":"Python 3 (ipykernel)","metadata":{"debugger":false,"vscode":{"originalSpecFile":"~/opt/anaconda3/share/jupyter/kernels/python3/kernel.json","originalDisplayName":"Python 3 (ipykernel)"}}}]
00:29:24.976 [debug] Hiding default kernel spec 'Python 3 (ipykernel)', 'pythonjvsc74a57bd0a77702711f5a315dacae05aa6bda625e0afccebd9d0439d6f703ad649e059713', ~/opt/anaconda3/bin/python for interpreter ~/opt/anaconda3/bin/python and spec ~/opt/anaconda3/share/jupyter/kernels/python3/kernel.json
00:29:24.976 [debug] Kernels for interpreter ~/opt/anaconda3/bin/python are .jvsc74a57bd0a77702711f5a315dacae05aa6bda625e0afccebd9d0439d6f703ad649e059713.~/opt/anaconda3/python.~/opt/anaconda3/python.-m#ipykernel_launcher
00:29:24.988 [debug] Kernel Specs found in interpreter ~/opt/anaconda3/envs/DSprojects/bin/python are [{"specFile":"~/opt/anaconda3/envs/DSprojects/share/jupyter/kernels/python3/kernel.json","interpreterPath":"~/opt/anaconda3/envs/DSprojects/bin/python","isRegisteredByVSC":"registeredByNewVersionOfExt","name":"pythonjvsc74a57bd096f0bdf044210dc723cd37a4397122034d06165062500eb4efe3a407eb3f93b3","argv":["~/opt/anaconda3/envs/DSprojects/bin/python","-m","ipykernel_launcher","-f","{connection_file}"],"language":"python","executable":"~/opt/anaconda3/envs/DSprojects/bin/python","display_name":"Python 3 (ipykernel)","metadata":{"debugger":true,"vscode":{"originalSpecFile":"~/opt/anaconda3/envs/DSprojects/share/jupyter/kernels/python3/kernel.json","originalDisplayName":"Python 3 (ipykernel)"}}}]
00:29:24.988 [debug] Hiding default kernel spec 'Python 3 (ipykernel)', 'pythonjvsc74a57bd096f0bdf044210dc723cd37a4397122034d06165062500eb4efe3a407eb3f93b3', ~/opt/anaconda3/envs/DSprojects/bin/python for interpreter ~/opt/anaconda3/envs/DSprojects/bin/python and spec ~/opt/anaconda3/envs/DSprojects/share/jupyter/kernels/python3/kernel.json
00:29:24.988 [debug] Kernels for interpreter ~/opt/anaconda3/envs/DSprojects/bin/python are .jvsc74a57bd096f0bdf044210dc723cd37a4397122034d06165062500eb4efe3a407eb3f93b3.~/opt/anaconda3/envs/DSprojects/python.~/opt/anaconda3/envs/DSprojects/python.-m#ipykernel_launcher
00:29:25.143 [info] End refreshing Kernel Picker (1698726563956)
00:29:25.210 [debug] Launching kernel in kernelProcess.ts, Class name = Lv (started execution), Arg 1: "~/GitHub/python_projects/01.Python_Study/Practice notebook/2022/12", Arg 2: ""
00:29:25.212 [debug] Launching kernel in kernelProcess.ts, Class name = Lv (started execution), Arg 1: "~/GitHub/python_projects/01.Python_Study/Python Library Guides/Scikit learn", Arg 2: ""
00:29:25.214 [debug] Launching kernel in kernelProcess.ts, Class name = Lv (started execution), Arg 1: "~/GitHub/ML-AZ/Z.Model Selection/Classification", Arg 2: ""
00:29:26.265 [debug] Conda file returned by Python Extension is conda
00:29:28.356 [debug] Got env vars with python ~/opt/anaconda3/bin/python, with env var count 41 in 3431ms.
PATH value is ~/opt/anaconda3/bin:~/opt/anaconda3/condabin:/usr/local/bin:/System/Cryptexes/App/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/local/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/appleinternal/bin:~/.local/bin and
Path value is undefined
00:29:28.356 [debug] Prepend PATH with python bin for ~/opt/anaconda3/bin/python,
PATH value is ~/opt/anaconda3/bin:~/opt/anaconda3/condabin:/usr/local/bin:/System/Cryptexes/App/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/local/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/appleinternal/bin:~/.local/bin and
Path value is undefined
00:29:28.356 [debug] Activated Env Variables for ~/opt/anaconda3/bin/python,
PATH value is ~/opt/anaconda3/bin:~/opt/anaconda3/condabin:/usr/local/bin:/System/Cryptexes/App/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/local/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/appleinternal/bin:~/.local/bin and
Path value is undefined
00:29:28.356 [debug] Getting activated env variables, Class name = $a, completed in 3431ms, has a truthy return value, Arg 1: "~/GitHub/python_projects/01.Python_Study/Practice notebook/2022/12/Doordash_stratascratch.ipynb", Arg 2: "~/opt/anaconda3/bin/python", Arg 3: undefined
00:29:28.367 [info] Process Execution: ~/opt/anaconda3/bin/python -c "import ipykernel; print(ipykernel.__version__); print("5dc3a68c-e34e-4080-9c3e-2a532b2ccb4d"); print(ipykernel.__file__)"
00:29:28.367 [debug] Kernel Env Variables for ~/.vscode/extensions/ms-toolsai.jupyter-2023.10.1003011100-darwin-arm64/temp/jupyter/kernels/pythonjvsc74a57bd0a77702711f5a315dacae05aa6bda625e0afccebd9d0439d6f703ad649e059713/kernel.json, PATH value is ~/opt/anaconda3/bin:~/opt/anaconda3/condabin:/usr/local/bin:/System/Cryptexes/App/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/local/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/appleinternal/bin:~/.local/bin
00:29:28.375 [info] Process Execution: ~/opt/anaconda3/bin/python -m ipykernel_launcher --ip=127.0.0.1 --stdin=9019 --control=9017 --hb=9016 --Session.signature_scheme="hmac-sha256" --Session.key=b"35eb8ba3-4b9a-4079-8dc1-11a92d8c777b" --shell=9018 --transport="tcp" --iopub=9020 --f=~/Library/Jupyter/runtime/kernel-v2-4140eVVuOIdhxDt0.json
> cwd: ~/GitHub/python_projects/01.Python_Study/Practice notebook/2022/12
00:29:28.378 [debug] Launching kernel in kernelProcess.ts, Class name = Lv, completed in 3165ms, has a truthy return value, Arg 1: "~/GitHub/python_projects/01.Python_Study/Practice notebook/2022/12", Arg 2: ""
00:29:28.508 [debug] Got env vars with python ~/opt/anaconda3/bin/python, with env var count 40 in 4526ms.
PATH value is ~/opt/anaconda3/bin:~/opt/anaconda3/condabin:/usr/local/bin:/System/Cryptexes/App/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/local/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/appleinternal/bin:~/.local/bin and
Path value is undefined
00:29:28.508 [debug] Prepend PATH with python bin for ~/opt/anaconda3/bin/python,
PATH value is ~/opt/anaconda3/bin:~/opt/anaconda3/condabin:/usr/local/bin:/System/Cryptexes/App/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/local/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/appleinternal/bin:~/.local/bin and
Path value is undefined
00:29:28.508 [debug] Activated Env Variables for ~/opt/anaconda3/bin/python,
PATH value is ~/opt/anaconda3/bin:~/opt/anaconda3/condabin:/usr/local/bin:/System/Cryptexes/App/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/local/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/appleinternal/bin:~/.local/bin and
Path value is undefined
00:29:28.508 [debug] Getting activated env variables, Class name = $a, completed in 4526ms, has a truthy return value, Arg 1: "~/GitHub/ML-AZ", Arg 2: "~/opt/anaconda3/bin/python", Arg 3: undefined
00:29:28.515 [info] Process Execution: ~/opt/anaconda3/bin/python -m pip list
00:29:28.537 [debug] Got env vars with python ~/opt/anaconda3/bin/python, with env var count 40 in 3630ms.
PATH value is ~/opt/anaconda3/bin:~/opt/anaconda3/condabin:/usr/local/bin:/System/Cryptexes/App/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/local/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/appleinternal/bin:~/.local/bin and
Path value is undefined
00:29:28.537 [debug] Prepend PATH with python bin for ~/opt/anaconda3/bin/python,
PATH value is ~/opt/anaconda3/bin:~/opt/anaconda3/condabin:/usr/local/bin:/System/Cryptexes/App/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/local/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/appleinternal/bin:~/.local/bin and
Path value is undefined
00:29:28.537 [debug] Activated Env Variables for ~/opt/anaconda3/bin/python,
PATH value is ~/opt/anaconda3/bin:~/opt/anaconda3/condabin:/usr/local/bin:/System/Cryptexes/App/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/local/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/appleinternal/bin:~/.local/bin and
Path value is undefined
00:29:28.537 [debug] Getting activated env variables, Class name = $a, completed in 3630ms, has a truthy return value, Arg 1: "~/GitHub/ML-AZ/Z.Model Selection/Classification/decision_tree_classification.ipynb", Arg 2: "~/opt/anaconda3/bin/python", Arg 3: undefined
00:29:28.568 [info] Process Execution: ~/opt/anaconda3/bin/python -c "import ipykernel; print(ipykernel.__version__); print("5dc3a68c-e34e-4080-9c3e-2a532b2ccb4d"); print(ipykernel.__file__)"
00:29:28.568 [debug] Kernel Env Variables for ~/.vscode/extensions/ms-toolsai.jupyter-2023.10.1003011100-darwin-arm64/temp/jupyter/kernels/pythonjvsc74a57bd0a77702711f5a315dacae05aa6bda625e0afccebd9d0439d6f703ad649e059713/kernel.json, PATH value is ~/opt/anaconda3/bin:~/opt/anaconda3/condabin:/usr/local/bin:/System/Cryptexes/App/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/local/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/appleinternal/bin:~/.local/bin
00:29:28.592 [info] Process Execution: ~/opt/anaconda3/bin/python -m ipykernel_launcher --ip=127.0.0.1 --stdin=9003 --control=9001 --hb=9000 --Session.signature_scheme="hmac-sha256" --Session.key=b"4fd3ca2b-3c4f-40ba-9cfc-7f4dfe02b67c" --shell=9002 --transport="tcp" --iopub=9004 --f=~/Library/Jupyter/runtime/kernel-v2-4140H45U57XfuYl3.json
> cwd: ~/GitHub/ML-AZ/Z.Model Selection/Classification
00:29:28.592 [debug] Launching kernel in kernelProcess.ts, Class name = Lv, completed in 3378ms, has a truthy return value, Arg 1: "~/GitHub/ML-AZ/Z.Model Selection/Classification", Arg 2: ""
00:29:28.617 [debug] Got env vars with python ~/opt/anaconda3/bin/python, with env var count 41 in 3697ms.
PATH value is ~/opt/anaconda3/bin:~/opt/anaconda3/condabin:/usr/local/bin:/System/Cryptexes/App/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/local/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/appleinternal/bin:~/.local/bin and
Path value is undefined
00:29:28.618 [debug] Prepend PATH with python bin for ~/opt/anaconda3/bin/python,
PATH value is ~/opt/anaconda3/bin:~/opt/anaconda3/condabin:/usr/local/bin:/System/Cryptexes/App/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/local/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/appleinternal/bin:~/.local/bin and
Path value is undefined
00:29:28.618 [debug] Activated Env Variables for ~/opt/anaconda3/bin/python,
PATH value is ~/opt/anaconda3/bin:~/opt/anaconda3/condabin:/usr/local/bin:/System/Cryptexes/App/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/local/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/appleinternal/bin:~/.local/bin and
Path value is undefined
00:29:28.618 [debug] Getting activated env variables, Class name = $a, completed in 3698ms, has a truthy return value, Arg 1: "~/GitHub/python_projects/01.Python_Study/Python Library Guides/Scikit learn/05.02-Introducing-Scikit-Learn.ipynb", Arg 2: "~/opt/anaconda3/bin/python", Arg 3: undefined
00:29:28.621 [info] Process Execution: ~/opt/anaconda3/bin/python -c "import ipykernel; print(ipykernel.__version__); print("5dc3a68c-e34e-4080-9c3e-2a532b2ccb4d"); print(ipykernel.__file__)"
00:29:28.621 [debug] Kernel Env Variables for ~/.vscode/extensions/ms-toolsai.jupyter-2023.10.1003011100-darwin-arm64/temp/jupyter/kernels/pythonjvsc74a57bd0a77702711f5a315dacae05aa6bda625e0afccebd9d0439d6f703ad649e059713/kernel.json, PATH value is ~/opt/anaconda3/bin:~/opt/anaconda3/condabin:/usr/local/bin:/System/Cryptexes/App/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/local/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/appleinternal/bin:~/.local/bin
00:29:28.626 [info] Process Execution: ~/opt/anaconda3/bin/python -m ipykernel_launcher --ip=127.0.0.1 --stdin=9011 --control=9009 --hb=9008 --Session.signature_scheme="hmac-sha256" --Session.key=b"6dffebd1-4748-4347-a12f-abd5316ffed8" --shell=9010 --transport="tcp" --iopub=9012 --f=~/Library/Jupyter/runtime/kernel-v2-41408aZBM1Ee5oLK.json
> cwd: ~/GitHub/python_projects/01.Python_Study/Python Library Guides/Scikit learn
00:29:28.626 [debug] Launching kernel in kernelProcess.ts, Class name = Lv, completed in 3414ms, has a truthy return value, Arg 1: "~/GitHub/python_projects/01.Python_Study/Python Library Guides/Scikit learn", Arg 2: ""
00:29:29.114 [info] ipykernel version & path 6.25.0, ~/opt/anaconda3/lib/python3.9/site-packages/ipykernel/__init__.py for ~/opt/anaconda3/bin/python
00:29:29.326 [info] ipykernel version & path 6.25.0, ~/opt/anaconda3/lib/python3.9/site-packages/ipykernel/__init__.py for ~/opt/anaconda3/bin/python
00:29:29.390 [info] ipykernel version & path 6.25.0, ~/opt/anaconda3/lib/python3.9/site-packages/ipykernel/__init__.py for ~/opt/anaconda3/bin/python
00:29:30.048 [debug] KernelProcess output: NOTE: When using the `ipython kernel` entry point, Ctrl-C will not work.
To exit, you will have to explicitly quit this process, by either sending
"quit" from a client, or using Ctrl-\ in UNIX-like environments.
To read more about this, see https://github.com/ipython/ipython/issues/2049
00:29:30.048 [debug] Kernel Output: NOTE: When using the `ipython kernel` entry point, Ctrl-C will not work.
To exit, you will have to explicitly quit this process, by either sending
"quit" from a client, or using Ctrl-\ in UNIX-like environments.
To read more about this, see https://github.com/ipython/ipython/issues/2049
00:29:30.048 [debug] KernelProcess output:
To connect another client to this kernel, use:
--existing kernel-v2-4140eVVuOIdhxDt0.json
00:29:30.048 [debug] Kernel Output: To connect another client to this kernel, use: --existing kernel-v2-4140eVVuOIdhxDt0.json
00:29:30.062 [debug] Kernel Launcher. launch, Class name = Fv, completed in 5138ms, has a truthy return value, Arg 1: "~/opt/anaconda3/python.~/opt/anaconda3/python.-m#ipykernel_launcher", Arg 2: 60000, Arg 3: "~/GitHub/python_projects/01.Python_Study/Practice notebook/2022/12/Doordash_stratascratch.ipynb", Arg 4: "~/GitHub/python_projects/01.Python_Study/Practice notebook/2022/12", Arg 5: ""
00:29:30.068 [debug] Waiting for Raw Session to be ready in postStartRawSession
00:29:30.068 [debug] Waiting for Raw session to be ready, currently connected
00:29:30.068 [debug] Raw session connected
00:29:30.068 [debug] Waiting for Raw session to be ready for 30s
00:29:30.068 [debug] Waited for Raw session to be ready & got connected
00:29:30.068 [debug] Successfully waited for Raw Session to be ready in postStartRawSession
00:29:30.068 [debug] Kernel status before requesting kernel info and after ready is unknown
00:29:30.068 [debug] Sending request for kernelInfo
00:29:30.090 [debug] KernelProcess output: NOTE: When using the `ipython kernel` entry point, Ctrl-C will not work.
To exit, you will have to explicitly quit this process, by either sending
"quit" from a client, or using Ctrl-\ in UNIX-like environments.
To read more about this, see https://github.com/ipython/ipython/issues/2049
To connect another client to this kernel, use:
--existing kernel-v2-4140H45U57XfuYl3.json
00:29:30.090 [debug] Kernel Output: To connect another client to this kernel, use: --existing kernel-v2-4140H45U57XfuYl3.json
00:29:30.107 [debug] Initialize notebook communications for editor ~/GitHub/ML-AZ/Z.Model Selection/Classification/decision_tree_classification.ipynb
00:29:30.107 [debug] Resolving notebook UI Comms (resolve) for ~/GitHub/ML-AZ/Z.Model Selection/Classification/decision_tree_classification.ipynb
00:29:30.107 [debug] initialize CommonMessageCoordinator
00:29:30.107 [debug] Registering commtarget jupyter.widget
00:29:30.107 [debug] IPyWidgetMessageDispatcher.initialize
00:29:30.107 [debug] Attempting to determine version of IPyWidgets
00:29:30.107 [info] Start refreshing Interpreter Kernel Picker
00:29:30.107 [info] Start refreshing Kernel Picker (1698726570107)
00:29:30.108 [debug] Waiting for IPyWidgets version
00:29:30.108 [debug] Waiting for IPyWidgets version promise
00:29:30.188 [debug] Got response for requestKernelInfo
00:29:30.188 [debug] Successfully completed postStartRawSession
00:29:30.188 [debug] Begin sendTelemetryForPythonKernelExecutable
00:29:30.188 [debug] Executing silently Code (idle) = import sys as _VSCODE_sys\nprint(_VSCODE_sys.executable); del _VSCODE_sys
00:29:30.244 [debug] Executing silently Code (completed) = import sys as _VSCODE_sys\nprint(_VSCODE_sys.executable); del _VSCODE_sys with 1 output(s)
00:29:30.244 [debug] End sendTelemetryForPythonKernelExecutable
00:29:30.244 [debug] Started running kernel initialization for ~/GitHub/python_projects/01.Python_Study/Practice notebook/2022/12/Doordash_stratascratch.ipynb
00:29:30.244 [debug] Executing silently Code (idle) = try:\nimport ipywidgets as _VSCODE_ipywidgets\nprint("e976ee50-99ed-4aba-9b6b-9dcd5634d07d:IPy
00:29:30.245 [debug] Attempting to determine version of IPyWidgets
00:29:30.245 [debug] Waiting for IPyWidgets version
00:29:30.246 [debug] Waiting for IPyWidgets version promise
00:29:30.271 [debug] KernelProcess output: NOTE: When using the `ipython kernel` entry point, Ctrl-C will not work.
To exit, you will have to explicitly quit this process, by either sending
"quit" from a client, or using Ctrl-\ in UNIX-like environments.
To read more about this, see https://github.com/ipython/ipython/issues/2049
To connect another client to this kernel, use:
--existing kernel-v2-41408aZBM1Ee5oLK.json
00:29:30.271 [debug] Kernel Output: To connect another client to this kernel, use: --existing kernel-v2-41408aZBM1Ee5oLK.json
00:29:30.272 [debug] Kernel Launcher. launch, Class name = Fv, completed in 5367ms, has a truthy return value, Arg 1: "~/opt/anaconda3/python.~/opt/anaconda3/python.-m#ipykernel_launcher", Arg 2: 60000, Arg 3: "~/GitHub/ML-AZ/Z.Model Selection/Classification/decision_tree_classification.ipynb", Arg 4: "~/GitHub/ML-AZ/Z.Model Selection/Classification", Arg 5: ""
00:29:30.274 [debug] Waiting for Raw Session to be ready in postStartRawSession
00:29:30.274 [debug] Waiting for Raw session to be ready, currently connected
00:29:30.274 [debug] Raw session connected
00:29:30.274 [debug] Waiting for Raw session to be ready for 30s
00:29:30.274 [debug] Waited for Raw session to be ready & got connected
00:29:30.275 [debug] Successfully waited for Raw Session to be ready in postStartRawSession
00:29:30.275 [debug] Kernel status before requesting kernel info and after ready is unknown
00:29:30.275 [debug] Sending request for kernelInfo
00:29:30.302 [debug] Kernel Launcher. launch, Class name = Fv, completed in 5383ms, has a truthy return value, Arg 1: "~/opt/anaconda3/python.~/opt/anaconda3/python.-m#ipykernel_launcher", Arg 2: 60000, Arg 3: "~/GitHub/python_projects/01.Python_Study/Python Library Guides/Scikit learn/05.02-Introducing-Scikit-Learn.ipynb", Arg 4: "~/GitHub/python_projects/01.Python_Study/Python Library Guides/Scikit learn", Arg 5: ""
00:29:30.331 [debug] Waiting for Raw Session to be ready in postStartRawSession
00:29:30.331 [debug] Waiting for Raw session to be ready, currently connected
00:29:30.331 [debug] Raw session connected
00:29:30.331 [debug] Waiting for Raw session to be ready for 30s
00:29:30.333 [debug] Waited for Raw session to be ready & got connected
00:29:30.333 [debug] Successfully waited for Raw Session to be ready in postStartRawSession
00:29:30.333 [debug] Kernel status before requesting kernel info and after ready is unknown
00:29:30.333 [debug] Sending request for kernelInfo
00:29:30.353 [debug] Got response for requestKernelInfo
00:29:30.353 [debug] Successfully completed postStartRawSession
00:29:30.354 [debug] Begin sendTelemetryForPythonKernelExecutable
00:29:30.354 [debug] Executing silently Code (idle) = import sys as _VSCODE_sys\nprint(_VSCODE_sys.executable); del _VSCODE_sys
00:29:30.383 [debug] Executing silently Code (completed) = import sys as _VSCODE_sys\nprint(_VSCODE_sys.executable); del _VSCODE_sys with 1 output(s)
00:29:30.383 [debug] End sendTelemetryForPythonKernelExecutable
00:29:30.383 [debug] Started running kernel initialization for ~/GitHub/ML-AZ/Z.Model Selection/Classification/decision_tree_classification.ipynb
00:29:30.384 [debug] Executing silently Code (idle) = try:\nimport ipywidgets as _VSCODE_ipywidgets\nprint("e976ee50-99ed-4aba-9b6b-9dcd5634d07d:IPy
00:29:30.389 [debug] Executing silently Code (completed) = try:\nimport ipywidgets as _VSCODE_ipywidgets\nprint("e976ee50-99ed-4aba-9b6b-9dcd5634d07d:IPy with 1 output(s)
00:29:30.389 [debug] Determined IPyWidgets Version as 8 and event fired
00:29:30.391 [debug] Executing silently Code (idle) = import os as _VSCODE_os\nimport sys as _VSCODE_sys\n%cd "/~/GitHub/python_projects/01.Pyth
00:29:30.413 [debug] Executing silently Code (completed) = import os as _VSCODE_os\nimport sys as _VSCODE_sys\n%cd "/~/GitHub/python_projects/01.Pyth with 1 output(s)
00:29:30.413 [debug] Requesting Kernel info
00:29:30.414 [debug] Got Kernel info
00:29:30.414 [debug] End running kernel initialization, now waiting for idle
00:29:30.414 [debug] Waiting for 60000ms idle on (kernel): 787783f4-990c-4483-82f9-76e1c02a80e9 -> idle
00:29:30.414 [debug] Finished waiting for idle on (kernel): 787783f4-990c-4483-82f9-76e1c02a80e9 -> idle
00:29:30.414 [debug] End running kernel initialization, session is idle
00:29:30.432 [debug] Executing silently Code (completed) = try:\nimport ipywidgets as _VSCODE_ipywidgets\nprint("e976ee50-99ed-4aba-9b6b-9dcd5634d07d:IPy with 1 output(s)
00:29:30.432 [debug] Determined IPyWidgets Version as 8 and event fired
00:29:30.432 [debug] Version of IPyWidgets 8 determined after 0.325s
00:29:30.432 [debug] Version of IPyWidgets 8 determined after 0.187s
00:29:30.433 [debug] Executing silently Code (idle) = import os as _VSCODE_os\nimport sys as _VSCODE_sys\n%cd "/~/GitHub/ML-AZ/Z.Model Selection
00:29:30.452 [debug] Executing silently Code (completed) = import os as _VSCODE_os\nimport sys as _VSCODE_sys\n%cd "/~/GitHub/ML-AZ/Z.Model Selection with 1 output(s)
00:29:30.452 [debug] Requesting Kernel info
00:29:30.452 [debug] Got Kernel info
00:29:30.453 [debug] End running kernel initialization, now waiting for idle
00:29:30.453 [debug] Waiting for 60000ms idle on (kernel): 0c5b544d-b9cf-4da5-9229-8445d96895e2 -> idle
00:29:30.453 [debug] Finished waiting for idle on (kernel): 0c5b544d-b9cf-4da5-9229-8445d96895e2 -> idle
00:29:30.453 [debug] End running kernel initialization, session is idle
00:29:30.453 [debug] IPyWidgetScriptSource.initialize
00:29:30.453 [debug] IPyWidgetMessageDispatcher.initialize
00:29:30.453 [debug] getDataDirsImpl, Class name = ff (started execution), Arg 1: "~/GitHub/ML-AZ/Z.Model Selection/Classification/decision_tree_classification.ipynb", Arg 2: "~/opt/anaconda3/bin/python"
00:29:30.453 [debug] Get Custom Env Variables, Class name = Ul (started execution), Arg 1: undefined, Arg 2: "RunPythonCode"
00:29:30.454 [debug] Get Custom Env Variables, Class name = Ul, completed in 1ms, has a truthy return value, Arg 1: undefined, Arg 2: "RunPythonCode"
00:29:30.454 [debug] Jupyter Paths :
00:29:30.463 [info] Process Execution: ~/opt/anaconda3/bin/python ~/.vscode/extensions/ms-toolsai.jupyter-2023.10.1003011100-darwin-arm64/pythonFiles/printJupyterDataDir.py
00:29:30.476 [debug] Full interpreter list is length: 6, ~/opt/anaconda3/bin/python:base:Conda:~/opt/anaconda3/bin/python, /usr/local/bin/python3.9::Unknown:/usr/local/bin/python3.9, ~/opt/anaconda3/envs/DSprojects/bin/python:DSprojects:Conda:~/opt/anaconda3/envs/DSprojects/bin/python, /usr/bin/python3::Unknown:/usr/bin/python3, /usr/local/bin/python3.10::Unknown:/usr/local/bin/python3.10, /usr/local/bin/python3::Unknown:/usr/local/bin/python3
00:29:30.476 [debug] Refreshed Environments
00:29:30.477 [debug] Got response for requestKernelInfo
00:29:30.477 [debug] Successfully completed postStartRawSession
00:29:30.477 [debug] Begin sendTelemetryForPythonKernelExecutable
00:29:30.477 [debug] Executing silently Code (idle) = import sys as _VSCODE_sys\nprint(_VSCODE_sys.executable); del _VSCODE_sys
00:29:30.491 [debug] Executing silently Code (completed) = import sys as _VSCODE_sys\nprint(_VSCODE_sys.executable); del _VSCODE_sys with 1 output(s)
00:29:30.491 [debug] End sendTelemetryForPythonKernelExecutable
00:29:30.491 [debug] Started running kernel initialization for ~/GitHub/python_projects/01.Python_Study/Python Library Guides/Scikit learn/05.02-Introducing-Scikit-Learn.ipynb
00:29:30.491 [debug] Executing silently Code (idle) = try:\nimport ipywidgets as _VSCODE_ipywidgets\nprint("e976ee50-99ed-4aba-9b6b-9dcd5634d07d:IPy
00:29:30.519 [warn] Got a non-existent Jupyer Data Dir file://~/.local/share/jupyter
00:29:30.520 [debug] getDataDirsImpl, Class name = ff, completed in 67ms, has a truthy return value, Arg 1: "~/GitHub/ML-AZ/Z.Model Selection/Classification/decision_tree_classification.ipynb", Arg 2: "~/opt/anaconda3/bin/python"
00:29:30.607 [debug] Executing silently Code (completed) = try:\nimport ipywidgets as _VSCODE_ipywidgets\nprint("e976ee50-99ed-4aba-9b6b-9dcd5634d07d:IPy with 1 output(s)
00:29:30.608 [debug] Determined IPyWidgets Version as 8 and event fired
00:29:30.622 [debug] Executing silently Code (idle) = import os as _VSCODE_os\nimport sys as _VSCODE_sys\n%cd "/~/GitHub/python_projects/01.Pyth
00:29:30.734 [debug] Executing silently Code (completed) = import os as _VSCODE_os\nimport sys as _VSCODE_sys\n%cd "/~/GitHub/python_projects/01.Pyth with 1 output(s)
00:29:30.734 [debug] Requesting Kernel info
00:29:30.735 [debug] Got Kernel info
00:29:30.735 [debug] End running kernel initialization, now waiting for idle
00:29:30.735 [debug] Waiting for 60000ms idle on (kernel): 0dba558a-9827-414e-8b7f-6b8768351e04 -> idle
00:29:30.735 [debug] Finished waiting for idle on (kernel): 0dba558a-9827-414e-8b7f-6b8768351e04 -> idle
00:29:30.735 [debug] End running kernel initialization, session is idle
00:29:30.972 [debug] IPyWidgetMessageDispatcher.initialize
00:29:30.972 [debug] Web view is ready to receive widget messages
00:29:30.986 [debug] Widget Message: Received IPyWidgets_kernelOptions in ScriptManager
00:29:30.986 [debug] Widget Message: Received IPyWidgetMessages.IPyWidgets_kernelOptions
00:29:30.986 [debug] IPyWidgetMessageDispatcher.initialize
00:29:30.987 [debug] IPyWidgetMessageDispatcher.initialize
00:29:30.990 [debug] Widget Message: data-base-url set to https://file%2B.vscode-resource.vscode-cdn.net~/.vscode/extensions/ms-toolsai.jupyter-2023.10.1003011100-darwin-arm64/temp/scripts/b1d639a6d9a0ffb0033f5b26dcca24e2b1bd3d5321751cc66b55256c567fd7a9/jupyter
00:29:30.990 [debug] Widget Message: Received IPyWidgets_kernelOptions in ScriptManager
00:29:30.990 [debug] Widget Message: Received IPyWidgetMessages.IPyWidgets_kernelOptions
00:29:30.990 [debug] Widget Message: data-base-url set to https://file%2B.vscode-resource.vscode-cdn.net~/.vscode/extensions/ms-toolsai.jupyter-2023.10.1003011100-darwin-arm64/temp/scripts/b1d639a6d9a0ffb0033f5b26dcca24e2b1bd3d5321751cc66b55256c567fd7a9/jupyter
00:29:30.996 [debug] Widget Message: Received IPyWidget scripts [{"moduleName":"jupyterlab-plotly","scriptUri":"https://file%2B.vscode-resource.vscode-cdn.net~/.vscode/extensions/ms-toolsai.jupyter-2023.10.1003011100-darwin-arm64/temp/scripts/b1d639a6d9a0ffb0033f5b26dcca24e2b1bd3d5321751cc66b55256c567fd7a9/jupyter/nbextensions/jupyterlab-plotly/index","source":"local"}]
00:29:30.997 [debug] Widget Message: Source for IPyWidget jupyterlab-plotly found in local @ https://file%2B.vscode-resource.vscode-cdn.net~/.vscode/extensions/ms-toolsai.jupyter-2023.10.1003011100-darwin-arm64/temp/scripts/b1d639a6d9a0ffb0033f5b26dcca24e2b1bd3d5321751cc66b55256c567fd7a9/jupyter/nbextensions/jupyterlab-plotly/index.
00:29:30.997 [debug] Widget Message: Registering IPyWidget jupyterlab-plotly found in https://file%2B.vscode-resource.vscode-cdn.net~/.vscode/extensions/ms-toolsai.jupyter-2023.10.1003011100-darwin-arm64/temp/scripts/b1d639a6d9a0ffb0033f5b26dcca24e2b1bd3d5321751cc66b55256c567fd7a9/jupyter/nbextensions/jupyterlab-plotly/index.
00:29:30.997 [debug] Widget Message: Received IPyWidget scripts [{"moduleName":"mitosheet","scriptUri":"https://file%2B.vscode-resource.vscode-cdn.net~/.vscode/extensions/ms-toolsai.jupyter-2023.10.1003011100-darwin-arm64/temp/scripts/b1d639a6d9a0ffb0033f5b26dcca24e2b1bd3d5321751cc66b55256c567fd7a9/jupyter/nbextensions/mitosheet/index","source":"local"}]
00:29:30.997 [debug] Widget Message: Source for IPyWidget mitosheet found in local @ https://file%2B.vscode-resource.vscode-cdn.net~/.vscode/extensions/ms-toolsai.jupyter-2023.10.1003011100-darwin-arm64/temp/scripts/b1d639a6d9a0ffb0033f5b26dcca24e2b1bd3d5321751cc66b55256c567fd7a9/jupyter/nbextensions/mitosheet/index.
00:29:30.997 [debug] Widget Message: Registering IPyWidget mitosheet found in https://file%2B.vscode-resource.vscode-cdn.net~/.vscode/extensions/ms-toolsai.jupyter-2023.10.1003011100-darwin-arm64/temp/scripts/b1d639a6d9a0ffb0033f5b26dcca24e2b1bd3d5321751cc66b55256c567fd7a9/jupyter/nbextensions/mitosheet/index.
00:29:31.475 [info] End refreshing Kernel Picker (1698726570107)
00:29:33.955 [info] Handle Execution of Cells 2 for ~/GitHub/ML-AZ/Z.Model Selection/Classification/decision_tree_classification.ipynb
00:29:33.955 [debug] start the kernel, options.disableUI=false for ~/GitHub/ML-AZ/Z.Model Selection/Classification/decision_tree_classification.ipynb
00:29:33.956 [debug] Execution Request Sent to Kernel for cell 2
00:29:33.962 [debug] Start cell 2 execution @ 1698726573961 (clear output)
00:29:33.962 [info] Kernel acknowledged execution of cell 2 @ 1698726573961
00:29:34.754 [debug] KernelProcess output: Intel MKL WARNING: Support of Intel(R) Streaming SIMD Extensions 4.2 (Intel(R) SSE4.2) enabled only processors has been deprecated. Intel oneAPI Math Kernel Library 2025.0 will require Intel(R) Advanced Vector Extensions (Intel(R) AVX) instructions.
00:29:34.754 [debug] Kernel Output: To connect another client to this kernel, use: --existing kernel-v2-4140H45U57XfuYl3.json
Intel MKL WARNING: Support of Intel(R) Streaming SIMD Extensions 4.2 (Intel(R) SSE4.2) enabled only processors has been deprecated. Intel oneAPI Math Kernel Library 2025.0 will require Intel(R) Advanced Vector Extensions (Intel(R) AVX) instructions.
00:29:34.854 [debug] KernelProcess output: Intel MKL WARNING: Support of Intel(R) Streaming SIMD Extensions 4.2 (Intel(R) SSE4.2) enabled only processors has been deprecated. Intel oneAPI Math Kernel Library 2025.0 will require Intel(R) Advanced Vector Extensions (Intel(R) AVX) instructions.
00:29:34.854 [debug] Kernel Output: To connect another client to this kernel, use: --existing kernel-v2-4140H45U57XfuYl3.json
Intel MKL WARNING: Support of Intel(R) Streaming SIMD Extensions 4.2 (Intel(R) SSE4.2) enabled only processors has been deprecated. Intel oneAPI Math Kernel Library 2025.0 will require Intel(R) Advanced Vector Extensions (Intel(R) AVX) instructions.
Intel MKL WARNING: Support of Intel(R) Streaming SIMD Extensions 4.2 (Intel(R) SSE4.2) enabled only processors has been deprecated. Intel oneAPI Math Kernel Library 2025.0 will require Intel(R) Advanced Vector Extensions (Intel(R) AVX) instructions.
00:29:35.440 [info] End cell 2 execution @ 1698726575440, started @ 1698726573961, elapsed time = 1.479s
00:29:35.441 [debug] Cell 2 executed with state Success
00:29:37.144 [info] Handle Execution of Cells 4 for ~/GitHub/ML-AZ/Z.Model Selection/Classification/decision_tree_classification.ipynb
00:29:37.144 [debug] start the kernel, options.disableUI=false for ~/GitHub/ML-AZ/Z.Model Selection/Classification/decision_tree_classification.ipynb
00:29:37.145 [debug] Execution Request Sent to Kernel for cell 4
00:29:37.155 [debug] Start cell 4 execution @ 1698726577155 (clear output)
00:29:37.155 [info] Kernel acknowledged execution of cell 4 @ 1698726577155
00:29:37.170 [info] End cell 4 execution @ 1698726577170, started @ 1698726577155, elapsed time = 0.015s
00:29:37.170 [debug] Cell 4 executed with state Success
00:29:39.712 [debug] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a
00:29:39.712 [debug] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a
00:29:39.728 [debug] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a with 1 output(s)
00:29:39.742 [debug] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a with 1 output(s)
00:29:39.759 [debug] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a
00:29:39.762 [debug] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a
00:29:39.771 [debug] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a with 1 output(s)
00:29:39.781 [debug] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a with 1 output(s)
00:29:39.785 [debug] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a
00:29:39.789 [debug] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a
00:29:39.798 [debug] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a with 1 output(s)
00:29:39.808 [debug] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a with 1 output(s)
00:29:42.082 [info] Process Execution: ~/opt/anaconda3/bin/python -c "import pandas;print(pandas.__version__)"
00:29:42.135 [debug] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a
00:29:42.136 [debug] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a
00:29:42.152 [debug] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a with 1 output(s)
00:29:42.168 [debug] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a with 1 output(s)
00:29:42.185 [debug] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a
00:29:42.188 [debug] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a
00:29:42.198 [debug] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a with 1 output(s)
00:29:42.210 [debug] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a with 1 output(s)
00:29:42.214 [debug] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a
00:29:42.218 [debug] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a
00:29:42.230 [debug] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a with 1 output(s)
00:29:42.240 [debug] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a with 1 output(s)
00:29:46.014 [debug] Getting activated env variables, Class name = $a (started execution), Arg 1: undefined, Arg 2: "~/opt/anaconda3/bin/python", Arg 3: undefined
00:29:46.014 [debug] Get Custom Env Variables, Class name = Ul (started execution), Arg 1: "~/GitHub/ML-AZ", Arg 2: "RunPythonCode"
00:29:46.016 [debug] Get Custom Env Variables, Class name = Ul, completed in 2ms, has a truthy return value, Arg 1: "~/GitHub/ML-AZ", Arg 2: "RunPythonCode"
00:29:46.016 [debug] Got env vars with python ~/opt/anaconda3/bin/python, with env var count 40 in 2ms.
PATH value is ~/opt/anaconda3/bin:~/opt/anaconda3/condabin:/usr/local/bin:/System/Cryptexes/App/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/local/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/appleinternal/bin:~/.local/bin and
Path value is undefined
00:29:46.016 [debug] Prepend PATH with python bin for ~/opt/anaconda3/bin/python,
PATH value is ~/opt/anaconda3/bin:~/opt/anaconda3/condabin:/usr/local/bin:/System/Cryptexes/App/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/local/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/appleinternal/bin:~/.local/bin and
Path value is undefined
00:29:46.016 [debug] Activated Env Variables for ~/opt/anaconda3/bin/python,
PATH value is ~/opt/anaconda3/bin:~/opt/anaconda3/condabin:/usr/local/bin:/System/Cryptexes/App/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/local/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/appleinternal/bin:~/.local/bin and
Path value is undefined
00:29:46.016 [debug] Getting activated env variables, Class name = $a, completed in 2ms, has a truthy return value, Arg 1: undefined, Arg 2: "~/opt/anaconda3/bin/python", Arg 3: undefined
00:29:46.016 [debug] Create ProcessService, Class name = _l (started execution), Arg 1: undefined
00:29:46.016 [debug] Get Custom Env Variables, Class name = Ul (started execution), Arg 1: undefined, Arg 2: "RunNonPythonCode", Arg 3: undefined
00:29:46.017 [debug] Get Custom Env Variables, Class name = Ul, completed in 1ms, has a truthy return value, Arg 1: undefined, Arg 2: "RunNonPythonCode", Arg 3: undefined
00:29:46.017 [debug] Create ProcessService, Class name = _l, completed in 1ms, has a truthy return value, Arg 1: undefined
00:29:46.020 [info] Process Execution: /conda install -c conda-forge --name base pandas -y
00:29:48.818 [debug] Collecting package metadata (current_repodata.json): ...working...
00:29:53.350 [debug] WARNING conda.models.version:get_matcher(556): Using .* with relational operator is superfluous and deprecated and will be removed in a future version of conda. Your spec was 1.7.1.*, but conda is ignoring the .* and treating it as 1.7.1
00:30:03.652 [debug] done
00:30:03.653 [debug] Solving environment: ...working...
00:30:15.743 [debug] done
00:30:19.917 [debug]
# All requested packages already installed.
00:30:21.170 [info] Process Execution: ~/opt/anaconda3/bin/python -c "import pandas;print('6af208d0-cb9c-427f-b937-ff563e17efdf')"
00:30:22.192 [debug] Checking if product is installed, Class name = hu, completed in 1028ms, has a truthy return value, Arg 1: 23, Arg 2: undefined, Return Value: true
00:30:22.196 [info] Process Execution: ~/opt/anaconda3/bin/python -m pip list
00:30:22.197 [debug] Executing silently Code (idle) = def _VSCODE_getDataFrame(what_to_get, is_debugging, *args):\nimport pandas as _VSCODE_pd\nimpo
00:30:22.221 [debug] Executing silently Code (completed) = def _VSCODE_getDataFrame(what_to_get, is_debugging, *args):\nimport pandas as _VSCODE_pd\nimpo with 1 output(s)
00:30:22.247 [debug] Executing silently Code (idle) = def _VSCODE_getDataFrame(what_to_get, is_debugging, *args):\nimport pandas as _VSCODE_pd\nimpo
00:30:22.272 [debug] Executing silently Code (completed) = def _VSCODE_getDataFrame(what_to_get, is_debugging, *args):\nimport pandas as _VSCODE_pd\nimpo with 1 output(s)
00:30:28.099 [debug] notebook communications already initialized for editor ~/GitHub/ML-AZ/Z.Model Selection/Classification/decision_tree_classification.ipynb
00:30:37.743 [debug] Getting activated env variables, Class name = $a (started execution), Arg 1: "~/GitHub/ML-AZ", Arg 2: "~/opt/anaconda3/bin/python", Arg 3: undefined
00:30:37.743 [debug] Get Custom Env Variables, Class name = Ul (started execution), Arg 1: "~/GitHub/ML-AZ", Arg 2: "RunPythonCode"
00:30:37.743 [debug] Get Custom Env Variables, Class name = Ul, completed in 0ms, has a truthy return value, Arg 1: "~/GitHub/ML-AZ", Arg 2: "RunPythonCode"
00:30:37.743 [debug] Got env vars with python ~/opt/anaconda3/bin/python, with env var count 40 in 0ms.
PATH value is ~/opt/anaconda3/bin:~/opt/anaconda3/condabin:/usr/local/bin:/System/Cryptexes/App/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/local/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/appleinternal/bin:~/.local/bin and
Path value is undefined
00:30:37.743 [debug] Prepend PATH with python bin for ~/opt/anaconda3/bin/python,
PATH value is ~/opt/anaconda3/bin:~/opt/anaconda3/condabin:/usr/local/bin:/System/Cryptexes/App/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/local/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/appleinternal/bin:~/.local/bin and
Path value is undefined
00:30:37.743 [debug] Activated Env Variables for ~/opt/anaconda3/bin/python,
PATH value is ~/opt/anaconda3/bin:~/opt/anaconda3/condabin:/usr/local/bin:/System/Cryptexes/App/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/local/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/appleinternal/bin:~/.local/bin and
Path value is undefined
00:30:37.743 [debug] Getting activated env variables, Class name = $a, completed in 0ms, has a truthy return value, Arg 1: "~/GitHub/ML-AZ", Arg 2: "~/opt/anaconda3/bin/python", Arg 3: undefined
00:30:37.746 [info] Process Execution: ~/opt/anaconda3/bin/python -c "import pandas;print(pandas.__version__)"
00:30:37.788 [debug] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a
00:30:37.789 [debug] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a
00:30:37.805 [debug] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a with 1 output(s)
00:30:37.819 [debug] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a with 1 output(s)
00:30:37.835 [debug] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a
00:30:37.838 [debug] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a
00:30:37.848 [debug] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a with 1 output(s)
00:30:37.859 [debug] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a with 1 output(s)
00:30:37.862 [debug] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a
00:30:37.866 [debug] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a
00:30:37.877 [debug] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a with 1 output(s)
00:30:37.888 [debug] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a with 1 output(s)
00:30:41.192 [debug] Create ProcessService, Class name = _l (started execution), Arg 1: undefined
00:30:41.192 [debug] Get Custom Env Variables, Class name = Ul (started execution), Arg 1: undefined, Arg 2: "RunNonPythonCode", Arg 3: undefined
00:30:41.192 [debug] Cached data exists getEnvironmentVariables, ~/GitHub/ML-AZ
00:30:41.192 [debug] Get Custom Env Variables, Class name = Ul, completed in 0ms, has a truthy return value, Arg 1: undefined, Arg 2: "RunNonPythonCode", Arg 3: undefined
00:30:41.192 [debug] Create ProcessService, Class name = _l, completed in 0ms, has a truthy return value, Arg 1: undefined
00:30:41.198 [info] Process Execution: /conda install -c conda-forge --name base pandas -y
00:30:44.062 [debug] Collecting package metadata (current_repodata.json): ...working...
00:30:47.103 [debug] notebook communications already initialized for editor ~/GitHub/ML-AZ/Z.Model Selection/Classification/decision_tree_classification.ipynb
00:30:49.054 [debug] WARNING conda.models.version:get_matcher(556): Using .* with relational operator is superfluous and deprecated and will be removed in a future version of conda. Your spec was 1.7.1.*, but conda is ignoring the .* and treating it as 1.7.1
00:30:59.132 [debug] done
00:30:59.133 [debug] Solving environment: ...working...
00:31:11.374 [debug] done
00:31:14.913 [info] Handle Execution of Cells 5 for ~/GitHub/ML-AZ/Z.Model Selection/Classification/decision_tree_classification.ipynb
00:31:14.914 [debug] start the kernel, options.disableUI=false for ~/GitHub/ML-AZ/Z.Model Selection/Classification/decision_tree_classification.ipynb
00:31:14.915 [debug] Execution Request Sent to Kernel for cell 5
00:31:14.919 [debug] Start cell 5 execution @ 1698726674919 (clear output)
00:31:14.919 [info] Kernel acknowledged execution of cell 5 @ 1698726674919
00:31:15.345 [info] End cell 5 execution @ 1698726675344, started @ 1698726674919, elapsed time = 0.425s
00:31:15.345 [warn] Cancel all remaining cells due to cancellation or failure in execution
00:31:15.345 [debug] Cancel pending cells
00:31:15.345 [debug] Cell 5 executed with state Error
00:31:15.363 [debug] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a
00:31:15.381 [debug] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a with 1 output(s)
00:31:15.392 [debug] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a
00:31:15.403 [debug] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a with 1 output(s)
00:31:15.407 [debug] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a
00:31:15.418 [debug] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a with 1 output(s)
00:31:15.604 [debug]
# All requested packages already installed.
00:31:16.829 [info] Process Execution: ~/opt/anaconda3/bin/python -c "import pandas;print('6af208d0-cb9c-427f-b937-ff563e17efdf')"
00:31:17.830 [debug] Checking if product is installed, Class name = hu, completed in 1007ms, has a truthy return value, Arg 1: 23, Arg 2: undefined, Return Value: true
00:31:17.831 [debug] Executing silently Code (idle) = def _VSCODE_getDataFrame(what_to_get, is_debugging, *args):\nimport pandas as _VSCODE_pd\nimpo
00:31:17.834 [info] Process Execution: ~/opt/anaconda3/bin/python -m pip list
00:31:17.855 [debug] Executing silently Code (completed) = def _VSCODE_getDataFrame(what_to_get, is_debugging, *args):\nimport pandas as _VSCODE_pd\nimpo with 1 output(s)
00:31:17.890 [debug] Executing silently Code (idle) = def _VSCODE_getDataFrame(what_to_get, is_debugging, *args):\nimport pandas as _VSCODE_pd\nimpo
00:31:17.915 [debug] Executing silently Code (completed) = def _VSCODE_getDataFrame(what_to_get, is_debugging, *args):\nimport pandas as _VSCODE_pd\nimpo with 1 output(s)
00:31:22.594 [debug] Jupyter completion time: 10
00:31:23.396 [debug] Jupyter completion time: 5
00:31:25.221 [info] Handle Execution of Cells 5 for ~/GitHub/ML-AZ/Z.Model Selection/Classification/decision_tree_classification.ipynb
00:31:25.222 [debug] start the kernel, options.disableUI=false for ~/GitHub/ML-AZ/Z.Model Selection/Classification/decision_tree_classification.ipynb
00:31:25.222 [debug] Execution Request Sent to Kernel for cell 5
00:31:25.235 [debug] Start cell 5 execution @ 1698726685235 (clear output)
00:31:25.235 [info] Kernel acknowledged execution of cell 5 @ 1698726685235
00:31:25.251 [info] End cell 5 execution @ 1698726685251, started @ 1698726685235, elapsed time = 0.016s
00:31:25.251 [debug] Cell 5 executed with state Success
00:31:25.307 [debug] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a
00:31:25.323 [debug] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a with 1 output(s)
00:31:25.333 [debug] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a
00:31:25.344 [debug] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a with 1 output(s)
00:31:25.348 [debug] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a
00:31:25.358 [debug] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a with 1 output(s)
00:32:00.492 [debug] Jupyter completion time: 20
00:32:00.730 [debug] Jupyter completion time: 11
00:32:05.679 [info] Handle Execution of Cells 6 for ~/GitHub/ML-AZ/Z.Model Selection/Classification/decision_tree_classification.ipynb
00:32:05.680 [debug] start the kernel, options.disableUI=false for ~/GitHub/ML-AZ/Z.Model Selection/Classification/decision_tree_classification.ipynb
00:32:05.681 [debug] Execution Request Sent to Kernel for cell 6
00:32:05.688 [debug] Start cell 6 execution @ 1698726725688 (clear output)
00:32:05.688 [info] Kernel acknowledged execution of cell 6 @ 1698726725688
00:32:05.691 [info] End cell 6 execution @ 1698726725690, started @ 1698726725688, elapsed time = 0.002s
00:32:05.691 [debug] Cell 6 executed with state Success
00:32:05.734 [debug] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a
00:32:05.759 [debug] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a with 1 output(s)
00:32:05.770 [debug] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a
00:32:05.781 [debug] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a with 1 output(s)
00:32:05.785 [debug] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a
00:32:05.795 [debug] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a with 1 output(s)
00:32:36.036 [debug] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a
00:32:36.036 [debug] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a
00:32:36.053 [debug] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a with 1 output(s)
00:32:36.068 [debug] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a with 1 output(s)
00:32:36.082 [debug] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a
00:32:36.084 [debug] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a
00:32:36.094 [debug] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a with 1 output(s)
00:32:36.104 [debug] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a with 1 output(s)
00:32:36.110 [debug] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a
00:32:36.121 [debug] Executing silently Code (idle) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a
00:32:36.131 [debug] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a with 1 output(s)
00:32:36.144 [debug] Executing silently Code (completed) = def _VSCODE_getVariable(what_to_get, is_debugging, *args):\n# Query Jupyter server for the info a with 1 output(s)
00:32:39.021 [debug] Getting activated env variables, Class name = $a (started execution), Arg 1: "~/GitHub/ML-AZ", Arg 2: "~/opt/anaconda3/bin/python", Arg 3: undefined
00:32:39.021 [debug] Get Custom Env Variables, Class name = Ul (started execution), Arg 1: "~/GitHub/ML-AZ", Arg 2: "RunPythonCode"
00:32:39.022 [debug] Get Custom Env Variables, Class name = Ul, completed in 1ms, has a truthy return value, Arg 1: "~/GitHub/ML-AZ", Arg 2: "RunPythonCode"
00:32:39.022 [debug] Got env vars with python ~/opt/anaconda3/bin/python, with env var count 40 in 1ms.
PATH value is ~/opt/anaconda3/bin:~/opt/anaconda3/condabin:/usr/local/bin:/System/Cryptexes/App/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/local/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/appleinternal/bin:~/.local/bin and
Path value is undefined
00:32:39.022 [debug] Prepend PATH with python bin for ~/opt/anaconda3/bin/python,
PATH value is ~/opt/anaconda3/bin:~/opt/anaconda3/condabin:/usr/local/bin:/System/Cryptexes/App/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/local/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/appleinternal/bin:~/.local/bin and
Path value is undefined
00:32:39.023 [debug] Activated Env Variables for ~/opt/anaconda3/bin/python,
PATH value is ~/opt/anaconda3/bin:~/opt/anaconda3/condabin:/usr/local/bin:/System/Cryptexes/App/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/local/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/appleinternal/bin:~/.local/bin and
Path value is undefined
00:32:39.023 [debug] Getting activated env variables, Class name = $a, completed in 2ms, has a truthy return value, Arg 1: "~/GitHub/ML-AZ", Arg 2: "~/opt/anaconda3/bin/python", Arg 3: undefined
00:32:39.029 [info] Process Execution: ~/opt/anaconda3/bin/python -c "import pandas;print(pandas.__version__)"
00:32:42.063 [error] Error: Python package 'pandas' version 0.20.0 (or above) is required for viewing data.
at tx.promptInstall (~/.vscode/extensions/ms-toolsai.jupyter-2023.10.1003011100-darwin-arm64/out/extension.node.js:24:591445)
00:34:26.176 [debug] notebook communications already initialized for editor ~/GitHub/ML-AZ/Z.Model Selection/Classification/decision_tree_classification.ipynb
@jlf-incom @quangphu1912 I believe I have addressed this issue, Please could you
Install from VSIX
Applies To
What happened?
I received an error Python package 'pandas' version 0.20.o ( or above) is required for viewing data. I'm having pandas latest version 2.0 installed
VS Code Version
Version: 1.80.1 (Universal) Commit: 74f6148eb9ea00507ec113ec51c489d6ffb4b771 Date: 2023-07-12T17:20:23.298Z Electron: 22.3.14 ElectronBuildId: 21893604 Chromium: 108.0.5359.215 Node.js: 16.17.1 V8: 10.8.168.25-electron.0 OS: Darwin arm64 22.5.0
Jupyter Extension Version
v2023.6.1101941928
Jupyter logs
Coding Language and Runtime Version
Python
Language Extension Version (if applicable)
3.9.7
Anaconda Version (if applicable)
23.5.2
Running Jupyter locally or remotely?
Local