pygridsio 0.1.7

This is a utility package to read in .zmap and .asc grids to numpy or xarrays

pygridsio

Introduction

This is a python submodule containing IO functionality for reading and writing .asc and .zmap grids, frequently used within the property modelling and temperature modelling pre- and post- processing codes.

Usage

from pygridsio.pygridsio import read_grid

To read a grid file into the custom grid class:

grid = read_grid(filename)

To read a grid file into an xarray, with dimensions x, y, grid:

grid = read_grid_to_xarray(filename)

Or if you want to read multiple grids into an xarray provide a list of filenames:

grids = read_grids_to_xarray([file1, file2])

Installation

Pip

pip install pygridsio

Anaconda virtual environment

Create/update anaconda environment

The file environment.yml can be used to create a working python environment with the needed packages. For this open an Anaconda Prompt and:

conda env create -f environment.yml

Or to update the existing anaconda environment (with an updated version of theenvironment.ymlfile :

conda env update -n pygridsio -f environment.yml

Export (updated) anaconda environment

The environment.yml file needs to be updated when new packages are added:

conda env export --from-history -n pygridsio > environment.yml

Use anaconda environment in PyCharm

To connect the anaconda environment to Pycharm you can go to File , Settings, Project, Python Interpreter, add interpreter, add local interpreter, conda environment and then select the environment you created using the above steps.

Verify Installation

You can verify the installation of the different python packages by running the tests stored in tests. In pycharm: Right click on the folder marked tests and click on Run python tests in test