Urban Flows Observatory (Sheffield) metadata tools
Project description
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)
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