Installation¶
Working with flusstools is platform independent, but the favorable installation procedure varies among platforms (e.g., Linux or Windows).
We recommend Windows user to use Anaconda and conda environments. Linux users will have a better experience with pip-installing flusstools. The differences stem from the way how GDAL is installed on the two platforms. macOS users may want to follow the Linux instructions, even though we could not yet test the installation of flusstools on macOS. For Linux users: before pip install flusstools, make sure your pip is updated (python -m pip install –upgrade pip) to avoid incompatibilities with Python wheels in Linux.
flusstools is tailored for applications in water resources research and engineering and this is why the detailed instructions about the installation of flusstools are provided with the hydro-informatics eBook (at https://hydro-informatics.com).**
Basic Usage¶
Import¶
Import flusstools:
import flusstools as ft
Or one of its modules:
from flusstools import geotools
New to Python? Take a look at the Python tutorial for water resources engineering and research at hydro-informatics.com
Example¶
from flusstools import geotools as gt
raster, array, geo_transform = gt.raster2array("/sample-data/froude.tif")
type(raster)
<class 'osgeo.gdal.Dataset'>
type(array)
<class 'numpy.ndarray'>
type(geo_transform)
<class 'tuple'>
print(geo_transform)
(6748604.7742, 3.0, 0.0, 2207317.1771, 0.0, -3.0)
Requirements (Dependencies)¶
FlussTools requires geospatial processing libraries, which cannot be directly resolved by running setup.py. For this reason, we recommend to either install a virtual environment with requirements.txt or a conda environment with environment.yml to check out the following dependencies on non-standard Python libraries:
Ext. libs. |
||
|---|---|---|
alphashape |
laspy |
rasterio |
earthpy |
mapclassify |
rasterstats |
gdal |
matplotlib |
tk |
geojson |
numpy |
scipy |
geopandas |
pandas |
shapely |
h5py |
pip |
tabulate |
networkx |
pyshp |
plotly |