Kqlmagic: Microsoft Azure Monitor magic extension to Jupyter notebook
Project description
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 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
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Kqlmagic-0.1.111.post16.tar.gz
(149.9 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file Kqlmagic-0.1.111.post16.tar.gz.
File metadata
- Download URL: Kqlmagic-0.1.111.post16.tar.gz
- Upload date:
- Size: 149.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/44.0.0.post20200106 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.6.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
80f8817cb297f5cc561e4db5bc692e11d0b8bad7bba39be7bffbecc02555f4d9
|
|
| MD5 |
8d7abf6939f120a25e45d691b394153f
|
|
| BLAKE2b-256 |
0ed6d057554c2cfbf6d7f37131383f66a234c971569af26dee39814b5977ed48
|
File details
Details for the file Kqlmagic-0.1.111.post16-py3-none-any.whl.
File metadata
- Download URL: Kqlmagic-0.1.111.post16-py3-none-any.whl
- Upload date:
- Size: 192.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/44.0.0.post20200106 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.6.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9eb74d09fc4c29f4dbd0c0a8fca169bb2c9a3282e6270d4f06662375a1bfe7fb
|
|
| MD5 |
0c9a8aa15030285fe383a41e19762da6
|
|
| BLAKE2b-256 |
148a3b533b4819f74aad426cc67a340ed3528447c8158a26fc71e65db7a0f7ac
|