Urban Flows Observatory metadata tools

These are tools and classes to help work with metadata in the Urban Flows Observatory.

• ufmetadata on Github
• ufmetadata on PyPi

Installation

Using Python virtual environments

Create a venv:

$ python -m venv my_environment
$ pip install ufmetadata

Using Conda

Create a Conda environment and use pip to install the package from the repository:

$ conda env create --name my_environment --file environment.yml

...where environment.yml contains:

name: my_environment
channels:
  - defaults
dependencies:
  - python
  - pip
  - pip:
    - ufmetadata

Usage

To view the documentation in Python:

import ufmetadata.assets

help(ufmetadata.assets.Site)
help(ufmetadata.assets.Sensor)