pygeotools | A collection of libraries and utilities for geospatial data | Dataset library
kandi X-RAY | pygeotools Summary
kandi X-RAY | pygeotools Summary
Libraries and command line tools for geospatial data processing and analysis.
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Top functions reviewed by kandi - BETA
- Load the stack
- Computes the min and max datetime stats
- Calculate the median of an array
- Compute the stack
- Write a numpy array to disk
- Get GDAL GDAL dataset
- Check file existence
- Convert NumPy array to GDAL datatype
- Convert a geom to a PIL mask
- Smooth a DEM stack
- Interpolate a set of coordinates using interpolation
- Bins a histogram using bin_center
- Generate a 2D histogram
- Return a list of geometries to geom
- Get a dictionary of fields from a shapefile
- Generate a timestamp for a file
- Get the argument parser
- Apply rolling filter
- Create a memory stack of all files
- Cluster a list of datetimes
- Return a dictionary of stats
- Generates a Gaussian smoothing pyramid
- Clip a DEM stack
- Merge two stacks
- Get an outline of the unmasked geometry
- Clip a raster image
pygeotools Key Features
pygeotools Examples and Code Snippets
Lines of Code : 10License : Permissive (MIT)
Copyfrom pygeotools.lib import iolib, warplib, malib
fn1 = 'raster1.tif'
fn2 = 'raster2.tif'
ds_list = warplib.memwarp_multi_fn([fn1, fn2], res='max', extent='intersection', t_srs='first', r='cubic')
r1 = iolib.ds_getma(ds_list[0])
r2 = iolib.ds_getma(ds from pygeotools.lib import malib
fn_list = ['20080101_dem.tif', '20090101_dem.tif', '20100101_dem.tif']
s = malib.DEMStack(fn_list, res='min', extent='union')
#Stack standard deviation
s.stack_std
#Stack linear trend
s.stack_trend
git clone https://github.com/dshean/pygeotools.git
pip install -e pygeotools
Community Discussions
Trending Discussions on pygeotools
QUESTION
Why is anaconda choking on common packages, in creating an envionment from a YML file? Anaconda COMES with these packages pre-installed in root (or so I thought?)
YML file:
...ANSWER
Answered 2019-Oct-28 at 07:44As @sinoroc pointed out in the comments, os is part of Python standard library and should not be listed as a dependency. (When you do define it as a dependency, Python is going to look for a package called os on all available repositories [PyPI or anaconda.org in this case] and won't find it.)
You can see which packages are part of the standard library by checking the docs here: https://docs.python.org/3/library/ (Also there have been a few questions on SO on how to find out if a particular package is part of the std lib, e.g. How to check if a module/library/package is part of the python standard library?) When you create a new environment the packages from the std lib are the only ones which are available by default. Anything else needs to be installed.
Additionally there are two packages in your yaml file that are listed twice (rasterio and matplotlib) which makes me think that you manually created that file. You can generate a conda environment file by activating an environment and running conda env export > environment.yml which will create a file called environment.yml with all required dependencies.
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