Skip to main content

Python library for handling Power BI semantic model, report, and diagram artifacts

Project description

pypbip

pypbip is a Python library for handling Power BI project artifacts in code, including semantic model (model.bim), report metadata, and diagram layout structures.

Features

  • Work with semantic model objects such as tables, columns, measures, and DAX expressions.
  • Parse and write report sections and visual container metadata.
  • Handle diagram layouts and nodes programmatically.

Installation

pip install pypbip

Quick Start

from pypbip import ModelBim, Report, DiagramLayout

# load a model.bim structure
model = ModelBim.from_file("path/to/model.bim")

# load report metadata
report = Report.from_file("path/to/report.json")

# load diagram layout metadata
layout = DiagramLayout.from_file("path/to/diagramLayout.json")

Compatibility

  • Python 3.9+

License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pypbip-0.1.4.tar.gz (17.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pypbip-0.1.4-py3-none-any.whl (23.8 kB view details)

Uploaded Python 3

File details

Details for the file pypbip-0.1.4.tar.gz.

File metadata

  • Download URL: pypbip-0.1.4.tar.gz
  • Upload date:
  • Size: 17.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.0

File hashes

Hashes for pypbip-0.1.4.tar.gz
Algorithm Hash digest
SHA256 6082555391a715d38b9dd582c77151f9c1fb823e99d9e0a58917161601e643e0
MD5 3aac3aed414c92e1f6de866f4c44b9f6
BLAKE2b-256 a381f3e2dc8db624396ba0f25687a40ac6aafb7851a314d26f3687b004c12c84

See more details on using hashes here.

File details

Details for the file pypbip-0.1.4-py3-none-any.whl.

File metadata

  • Download URL: pypbip-0.1.4-py3-none-any.whl
  • Upload date:
  • Size: 23.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.0

File hashes

Hashes for pypbip-0.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 5ce08aad202822e47a3d87f190e1af350c069c3ddd6a54d93401b8b29e09fb21
MD5 224a3a6d5d401cd17028137c9cc0d9df
BLAKE2b-256 0bf733df7ccdc616357fa23c5fdcc3f083c4d2861d6a2e8623c68c36628ec730

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page