Visualization package associated with pyIncore is called pyIncore-viz. It contains advanced Python packages and methods required for visualizing and disseminating the IN-CORE results, mainly via Jupyter Notebooks. A library called Matplotlib for creating static visualizations in Python is already part of pyIncore (as a dependency). We decided however to keep more interactive visualization in a separate package. An example would be for example geo-referenced mapping with ipyleaflet.
Geospatial visualization such as tornado path or earthquake raster data, vector data (shapfile) and network data.
Data visualization, graphs of data such as statistical curves including pre-processing.
Creates map window from inventory of multiple csv files stored in a folder (in progress).
pyIncore: A user must have pyIncore package installed. See pyIncore section for details.
backend : Agg
~/.matplotlib/matplotlibrcfile. You must create the file (
matplotlibrc) if it does not exist.
To install pyIncore-viz, navigate to the directory you want to use for running Jupyter Notebooks and run the following command:
conda install -c in-core pyincore-viz
For update replace
To check that the package is installed run
It will again list all packages currently installed. You can check if pyincore and pyincore-viz exist in the list.
Jupyter notebook showing a visualization of shape files and other geographic information. Web Map Service (WMS) layer generated by Geoserver is also used for mapping an infrastructure. The shapefile format is a geospatial vector data format for geographic information system (GIS) software developed by Esri for interoperability among GIS software products. WMS is protocol for geo-referenced images developed by the OG Consortium.