drewda

# code from http://danieljlewis.org/files/2010/06/Jenks.pdf
# described at http://danieljlewis.org/2010/06/07/jenks-natural-breaks-algorithm-in-python/

def getJenksBreaks( dataList, numClass ):
  dataList.sort()
  mat1 = []
  for i in range(0,len(dataList)+1):
    temp = []
    for j in range(0,numClass+1):
      temp.append(0)

MohamedAlaa

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname

dmeliza

# -*- coding: utf-8 -*-
# -*- mode: python -*-
# Adapted from mpl_toolkits.axes_grid1
# LICENSE: Python Software Foundation (http://docs.python.org/license.html)

from matplotlib.offsetbox import AnchoredOffsetbox
class AnchoredScaleBar(AnchoredOffsetbox):
    def __init__(self, transform, sizex=0, sizey=0, labelx=None, labely=None, loc=4,
                 pad=0.1, borderpad=0.1, sep=2, prop=None, barcolor="black", barwidth=None, 
                 **kwargs):

szs8

#!/usr/bin/env python

import wx
from wx import EVT_CLOSE
import wx.grid as gridlib

EVEN_ROW_COLOUR = '#CCE6FF'
GRID_LINE_COLOUR = '#ccc'

class PandasTable(wx.Frame):

troyhill

### Important note: I'm no longer maintaining this gist, since this code is incorporated into the
### VulnToolkit package.
### Because it's not being maintained, the code below might not work. The latest, updated version
### is available at https://github.com/troyhill/VulnToolkit/blob/master/R/HL.r



### Function to pick out high and low tides from a dataset of tidal water levels
###
### Arguments: 

JesseBuesking

---
version: 1
disable_existing_loggers: False
formatters:
    simple:
        format: "%(name)-20s%(levelname)-8s%(message)s"
handlers:
    console:
        class: logging.StreamHandler
        level: DEBUG

jwass

import matplotlib.pyplot as plt
import numpy as np

from shapely.geometry import LineString
from shapely.ops import triangulate

def uniform_sample(poly, n=100):
    """
    Uniformly sample the Delaunay triangulation of a polygon. If the polygon
    is convex, this will uniformly sample its area.

YKCzoli

Processing LiDAR to extract building heights

Walk through

Detailed walk through of building extraction using postgis

First lets pull a data layer from of openstreetmap. You can do this any which way you’d like, as there are a variety of methods for pulling openstreetmap data from their database. Check the [wiki] (http://wiki.openstreetmap.org/wiki/Downloading_data) for a comprehensive list. My favourite method thus far is pulling the data straight into QGIS using the open layers plugin. For those who may want to explore this method, check [this tutorial] (http://www.qgistutorials.com/en/docs/downloading_osm_data.html). For building extraction you only need building footprints, and include the building tags. Not all polygons are of type building in OSM, so we can download all the polygons, and then filter the layer for only polygons tagged as buildings.

LiDAR data was pulled from USGS via the Earth Explorer site. [Here] (http://earthobservatory.nasa.gov/blogs/ele

clhenrick

PostgreSQL & PostGIS Cheatsheet

This is a collection of information on PostgreSQL and PostGIS for what I tend to use most often.

TOC

• Installing Postgres & PostGIS
• Using Postgres on the command line: PSQL
• Importing Data into Postgres
• Exporting Data from Postgres
• Joining Tables

fredbenenson

layout	title	description	tags
default	SQL Style Guide	A guide to writing clean, clear, and consistent SQL.	data process

Purpose