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Version: 0.1.2
Power BI is a business analytics service by Microsoft. It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards. It is part of the Microsoft Power Platform. This library allows you to use the Power BI Rest API from python. Along with providing the different endpoints, it will also handle the authentication process for you.
Setup - Requirements Install:
For this particular project, you only need to install the dependencies, to use the project. The dependencies
are listed in the requirements.txt
file and can be installed by running the following command:
pip install -r requirements.txt
After running that command, the dependencies should be installed.
Setup - Local Install:
If you are planning to make modifications to this project or you would like to access it
before it has been indexed on PyPi
. I would recommend you either install this project
in editable
mode or do a local install
. For those of you, who want to make modifications
to this project. I would recommend you install the library in editable
mode.
If you want to install the library in editable
mode, make sure to run the setup.py
file, so you can install any dependencies you may need. To run the setup.py
file,
run the following command in your terminal.
pip install -e .
If you don't plan to make any modifications to the project but still want to use it across your different projects, then do a local install.
pip install .
This will install all the dependencies listed in the setup.py
file. Once done
you can use the library wherever you want.
Setup - PyPi Install:
To install the library, run the following command from the terminal.
pip install python-power-bi
Setup - PyPi Upgrade:
To upgrade the library, run the following command from the terminal.
pip install --upgrade python-power-bi
Here is a simple example of using the powerbi
library.
from pprint import pprint
from configparser import ConfigParser
from powerbi.client import PowerBiClient
# Initialize the Parser.
config = ConfigParser()
# Read the file.
config.read('config/config.ini')
# Get the specified credentials.
client_id = config.get('power_bi_api', 'client_id')
redirect_uri = config.get('power_bi_api', 'redirect_uri')
client_secret = config.get('power_bi_api', 'client_secret')
# Initialize the Client.
power_bi_client = PowerBiClient(
client_id=client_id,
client_secret=client_secret,
scope=['https://analysis.windows.net/powerbi/api/.default'],
redirect_uri=redirect_uri,
credentials='config/power_bi_state.jsonc'
)
# Initialize the `Dashboards` service.
dashboard_service = power_bi_client.dashboards()
# Add a dashboard to our Workspace.
dashboard_service.add_dashboard(name='my_new_dashboard')
# Get all the dashboards in our Org.
pprint(dashboard_service.get_dashboards())
Patreon: Help support this project and future projects by donating to my Patreon Page. I'm always looking to add more content for individuals like yourself, unfortuantely some of the APIs I would require me to pay monthly fees.
YouTube: If you'd like to watch more of my content, feel free to visit my YouTube channel Sigma Coding.
Questions: If you have questions please feel free to reach out to me at coding.sigma@gmail.com
FAQs
The Unofficial Python API wrapper for the Microsoft Power BI REST API.
We found that python-power-bi demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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