Getting Started
Installation
FCPGtools
can be installed from PyPI
into a virtual environment containing GDAL
, and for full functionality, TauDEM
as well.
pysheds
only quick-start: If you are planning to only use functions supported by the pysheds
“terrain engine” you install fcpgtools
into your virtual environment of choice using pip
:
pip install fcpgtools
For full functionality we strongly encourage the following installation workflow:
Install the Anaconda Python Distribution or Miniconda
Anaconda Individual Edition - includes
conda
, a complete Python (and R) data science stack, and the helpful Anaconda Navigator GUI.A lighter-weight alternative is to install Miniconda.
Use the
conda
command line to clone our lightweightfcpgtools_base
virtual environment that contains non-Python dependencies from theenvironment.yml
file available in our repo. Either clone the repo, or just download the .yml file locally, and run the following commands:conda env create -f {PATH}/environment.yml
Note: We also provide a more robust
environment_dev.yml
virtual environment for developers containing all libraries relevant to making contributions as well as running our example notebooks.
Activate the
fcpgtools_base
environment, and pip installfcpgtools
.pip install fcpgtools
(optional) pip install optional libraries required to run our demo notebook (
examples/v2_fcpgtools_demo.ipynb
), and to leverage in-line function completion/type-hints.pip install jupyterlab pip install ipympl pip install python-lsp-server pip install jupyterlab-lsp pip install pydaymet
Caution: Unfortunately TauDEM
installs old versions of GDAL
and PROJ
, which has the potential to cause conflict with libraries that require newer versions said dependencies.
Using FCPGtools
Getting started only takes a few lines of code:
# creating an flow accumulation raster from a Flow Direction Raster (FDR)
import fcpgtools
path_to_fdr = r'YOUR/PATH/HERE/fdr.tif'
flow_accumulation_grid = fcpgtools.accumulate_flow(
d8_fdr=path_to_fdr,
) -> xarray.DataArray
Version 2.0 of FCPGtools
has a “flat” architecture, meaning all functions
can be accessed by importing the main fcpgtools
module as shown in a simple example above.
For a more complete demonstration of fucntionality, we suggest walking-through our examples/fcpgtools_v2_demo.ipynb Jupyter Notebook and our Cookbook and Examples page.
Note that is you are accustomed to Version 1.0 of FCPGtools
, we suggest looking over our
Migrating to FCPGtools
Version 2.0
page.