pandabear 0.6.1

An runtime vschema validator for Pandas DataFrames.

pandabear

An runtime schema validator for Pandas DataFrames.

Prerequisites

• python and virtual environment manager of your choice
• Google Cloud SDK (gcloud)
• Configure authentication to GCP Artifact Registry:
  • pip install keyrings.google-artifactregistry-auth
  • Once the keyrings python packge is installed pip should pick up yur Application Default Credentials set from the Google Cloud SDK (gcloud)
  • Docs page
  • NOTE: The environment installing the package must have read access to the Artifact Registry (all user accounts and approved Cloud Build Service Accounts should already have this access)

Usage

• See the examples directory for detailed demo
• Install to a repo/project:
  • In your requirements.txt file add a line specifying the --extra-index-url value followed by the python package and version as usual:

  ...requirements.txt
  
  --extra-index-url=https://europe-west1-python.pkg.dev/precis-artifacts/pd-core/simple/
  pandabear==0.0.0 (NOTE: specify the version to install here!)
  
  

• Install globally or to a given environment:
  • Activate virtual environment (optional)
  • pip install pandabear --extra-index-url=https://europe-west1-python.pkg.dev/precis-artifacts/pd-core/simple/
  • To update: pip install pandabear --extra-index-url=https://europe-west1-python.pkg.dev/precis-artifacts/pd-core/simple/ --upgrade
• NOTE: As with other pip packages, you can specify a version to install
  • pip install pandabear==0.1.0 --extra-index-url=https://europe-west1-python.pkg.dev/precis-artifacts/pd-core/simple/
• NOTE: you can omit the --extra-index-url arg if you setup a pip.conf file and have installed the package keyrings.google-artifactregistry-auth