Enables notebook experience, exploring Microsoft Azure Monitor data: Azure Data Explorer (Kusto), ApplicationInsights, and LogAnalytics data, from Jupyter notebook (Python3 kernel), using kql (Kusto Query language).
Example
Install latest version of package
In [1]: !pip install Kqlmagic --no-cache-dir --upgrade
Add Kqlmagic to notebook magics
In [2]: %reload_ext Kqlmagic
Connect to database at cluster
In [3]: %kql kusto://code;cluster='help';database='Samples'
Query database@cluster and render result set to a pie chart
In [4]: %kql Samples@help StormEvents | summarize count() by State | sort by count_ | limit 10 | render piechart title='my apple pie'
Get Started Notebooks
Links
Release files for KqlmagicCustom 0.1.114.post26
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| KqlmagicCustom-0.1.114.post26.tar.gz | 218.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| KqlmagicCustom-0.1.114.post26-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 458.1 kB
Release files / KqlmagicCustom-0.1.114.post26.tar.gz
| Download URL | KqlmagicCustom-0.1.114.post26.tar.gz |
|---|---|
| Size | 218.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.11.9
|
Release files / KqlmagicCustom-0.1.114.post26-py3-none-any.whl
| Download URL | KqlmagicCustom-0.1.114.post26-py3-none-any.whl |
|---|---|
| Size | 239.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.11.9
|