nave-visualization 1.11

A Python package for visualizing environmental data, specifically evapotranspiration, leaching risk,

Nave Visualization

This Python package provides functions for visualizing environmental data, such as evapotranspiration, leaching risk, and precipitation/irrigation data. It works with geospatial datasets, processes them, and generates maps and visualizations, primarily outputting results as PDF files.

Package components

This package contains the following modules:

• nave_visualization_core: Main module, including functions for date generation, loading datasets, and creating environmental maps.
• test: A jupyter notebook that demos all the functions in nave_visualization_core.

Example Usage

import nave_visualization_core as nave

# Example function call
nave.build_evapotranspiration_map(twr_block, output)

Prerequisites

This package is compatible with Python 3.6 and above. You can download the latest version of Python from python.org. This package depends on several Python libraries. You can install them using pip:

• geopandas — For working with geospatial data.
• matplotlib — For creating static, animated, and interactive visualizations in Python.
• numpy — A library for numerical operations.
• pandas — For data manipulation and analysis.
• shapely — For geometric operations and analysis.
• xarray — For working with labeled multi-dimensional arrays.
• rasterio — For reading and writing geospatial raster data.

To install the dependencies, you can install them manually:

• Install them manually:

  pip install geopandas 
  pip install matplotlib 
  pip install numpy 
  pip install pandas 
  pip install shapely 
  python -m pip install "xarray[complete]"
  pip install rasterio
  

Installing nave_visualization

Packages can only be imported if they are located in a directory on the PYTHONPATH (which you can view in python using sys.path()).

Packages installed using the command line tool pip are added to this path.

pip install nave-visualization

License

This project is licensed under the MIT License - see the LICENSE file for details.