terra-pandas 0.0.1

Tools work with Terra data tables in Pandas

terra-pandas

Import and export Terra data tables to Pandas DataFrames.

Installation

From the CLI:

pip install terra-pandas

In a Jupyter notebook (note the ipython magic "%pip"):

%pip install terra-pandas

Upgrading

It is often useful to keep up to date with new features and bug fixes. Installing the latest version of terra-pandas depends on your host environment.

From any Jupyter notebook, use the following (and note the leading "%")

%pip install --upgrade --no-cache-dir terra-pandas

From the CLI on standard Terra notebook runtimes, which are available using the terminal button in the Terra user interface, use

/usr/local/bin/pip install --upgrade --no-cache-dir terra-pandas

Note that all standard notebook runtimes on Terra are based on this Docker image.

For other environments, it is often enough to do

pip install --upgrade --no-cache-dir terra-pandas

Credentials

Much of the terra-pandas functionality requires credentialed access through a Google Cloud Platform account. Credentials are already available when running in a Terra notebook environment. Otherwise, credentials may be obtained with the command

gcloud auth application-default login

Tests

Release

The commands mentioned in common.mk file are used for the release process. Steps:

• if you don't have a PyPI account, please create one
• you should be a collaborator in PyPI for Terra Notebook Utils. If you are not, please ask Brian Hannafious to add you as a collaborator
• follow the setup instructions as mentioned in Tests section above for env Prod; make sure you have access to the DRS urls, workspaces and buckets
• run make all_test from inside the docker container created in Local Development section. Once tests pass, you can move to the release step
• Release:
  • For non-breaking API changes, use make release_patch
  • For breaking API changes, use make release_minor
  • For a major release, use make release_major

If a release needs to be rolled back for some reason, please contact Brian Hannafious for help.

Links

Project home page GitHub Package distribution PyPI

Bugs

Please report bugs, issues, feature requests, etc. on GitHub.