esisa

#
# Open a DEM, do a gaussian blur, then save it again
# Heavily based on:
#   http://gis.stackexchange.com/questions/9431/what-raster-smoothing-generalization-tools-are-available
#
# Syntax for running snippet:
#   python smoothDem.py input.tif output.tif 5
#

darrell

CREATE OR REPLACE FUNCTION voronoi(table_name text,geom_col text) returns SETOF record as $$

#############################################################################
#
# Voronoi diagram calculator/ Delaunay triangulator
# Translated to Python by Bill Simons
# September, 2005
#
# Additional changes by Carson Farmer added November 2010
#

astrojuanlu

# coding: utf-8
"""Simply supported rectangular plate on its four edges with FEniCS

Author: Juan Luis Cano Rodríguez <juanlu@pybonacci.org>

References
----------
* Timoshenko, Stephen, and S. Woinowsky-Krieger. "Theory of Plates and Shells".
  New York: McGraw-Hill, 1959.

PatrikHlobil

def iterate_all(iterable, returned="key"):
    
    """Returns an iterator that returns all keys or values
       of a (nested) iterable.
       
       Arguments:
           - iterable: <list> or <dictionary>
           - returned: <string> "key" or "value"
           
       Returns:

alexeygrigorev

from glob import glob

import multiprocessing
from concurrent.futures import ProcessPoolExecutor

import cv2
from PIL import Image
import imagehash

from tqdm import tqdm

lpinner

# Copyright 2019 Luke Pinner
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,

ThomasG77

Run Jupyter notebook with PyQGIS

On Windows

Look at this existing tutorial https://lerryws.xyz/posts/PyQGIS-in-Jupyter-Notebook

On Ubuntu

Install

lorey

#
# This small example shows you how to access JS-based requests via Selenium
# Like this, one can access raw data for scraping, 
# for example on many JS-intensive/React-based websites
#

from time import sleep

from selenium import webdriver
from selenium.webdriver import DesiredCapabilities

richpsharp

"""Tracer for floodplain extraction function with custom parameters."""
import logging
import os
import sys

import pygeoprocessing
import pygeoprocessing.routing
import numpy

logging.basicConfig(

phargogh

import os
import shutil

import numpy
import pygeoprocessing
import pygeoprocessing.routing
from osgeo import gdal


def doit(dem_path, flow_dir_weights, watershed_source_vector, workspace):