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Intellisense / Autocomplete stops working when trying to call a pandas method #15194
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Have the same issue. The similar issue was there a few months back. Now again? |
Please could you enable logging as follows:
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It seems that goes into a loop. The only output (and it stays outputting the same thing like it's in some sort of loop) I get at the exact moment I attempt to call a column from my dataframe is: Show Logs
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@jorregoo please call you share the full logs after you have reloaded vscode |
FileLogShow Logs
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@jorregoo Thank you for sharing the logs ms-toolsai-jupyter-insiders.vsix.zip Before you do that, please can you download the following VSIX and install this, as this provides additional logs.
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Hi, I've followed the steps exactly as mentioned and extracted de output file for jupyter. I have to mention that when using this version of jupyter and trying to work, the fans of my laptop go really loud an my laptop starts heating up. Log File: |
@jorregoo thanks for sharing the logs |
Sorry for the trouble. Once I replicate the issue, it goes into a loop that forces me into closing vscode in order to retrieve the log file and attach it here. |
@jorregoo |
Thanks, it worked. Here's the file with the logs. Can you please let me know what was the issue? |
Closed as part of this #15204 |
Environment data
Expected behaviour
When doing my data analysis as usual, I refer to my dataframes as needed and apply some method depending on what I need, expecting that autocompletion / intellisense assist me with the needed methods.
Example: I have a dataframe
df
and I want to count values for column X, so I expect jupyter to aid me when codingdf['X'].value_co...
.Actual behaviour
With latest version, intellisense stops working the second I attempt to refer a dataframe column by the notation
df['X']
. Before referencing a column like that, everything works as expected, but the second I try this, nothing works. I cannot even declare a dataframe from scratch because it doesn't recognize the imported libraries such as pandas.When I downgrade the jupyter extension version, everything works just fine.
Steps to reproduce:
[NOTE: Self-contained, minimal reproducing code samples are extremely helpful and will expedite addressing your issue]
df['X']
.unique()
or.value_counts()
Real Example
Logs
Output for
Jupyter
in theOutput
panel (View
→Output
, change the drop-down the upper-right of theOutput
panel toJupyter
)The text was updated successfully, but these errors were encountered: