The code in this repository provides an API to query, filter and visualize disdrometer data. Documentation is available at XXXXX
ATTENTION: The code is subject to changes in the coming months.
The folder tutorials (will) provide jupyter notebooks describing various features of DISDRODB API.
- How to contribute a custom parser to DISDRODB [[
parser_development.ipynb]] - Downloading current DISDRODB dataset [
download.ipynb] - Read and filter DISDRODB [[
read_and_filter.ipynb]] - Exploratory Data Analysis of DISDRODB [
eda.ipynb]
The folder templates provide parser template to contribute your data to DISDRODB.
For a local installation, follow the below instructions.
-
Clone this repository.
git clone git@github.com:ltelab/disdrodb.git cd disdrodb -
Install the dependencies using conda:
conda env create -f environment.yml
-
Activate the mascdb conda environment
conda activate disdrodb
-
Just for info... to update the environment.yml:
conda env export > environment.yml
- Gionata Ghiggi
- [Kim Candolfi]
- Jacopo Grazioli
- [Alexis Berne]
The content of this repository is released under the terms of the MIT license.