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Stephan Hügel urschrei

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urschrei / dumpbin_cdylib.txt
Created November 20, 2016 18:06
Microsoft (R) COFF/PE Dumper Version 14.00.24215.1
Copyright (C) Microsoft Corporation. All rights reserved.
Dump of file target/release/lonlat_bng.dll
File Type: DLL
Section contains the following exports for lonlat_bng-f8cb032e62ae16ed.dll
@urschrei
urschrei / hexagram.py
Last active October 4, 2019 08:42
Generate and dump a hexagram in PNG format
# -*- coding: utf-8 -*-
# Requires PIL (pillow) and NumPy
# Copyright (C) Stephan Hügel, 2016
# License: MIT
import sys
from PIL import Image
import numpy as np
@urschrei
urschrei / playground.rs
Last active February 2, 2016 09:59 — forked from anonymous/playground.rs
Threaded send/receive using channels in Rust
use std::thread;
use std::sync::mpsc::{ channel, Sender };
enum Wrapped {
A(f64),
B(f64),
}
fn produce_a(sender: Sender<Wrapped>) {
for i in 0 .. 5 {
@urschrei
urschrei / moved.md
Last active August 29, 2015 14:26
Comparing Mapzen's OSRM and Valhalla routing engine results for bicycle journeys in London
@urschrei
urschrei / gist:6b45fbc38d2b1d2f442b
Created March 17, 2015 15:28
GIT_PS1_SHOWDIRTYSTATE=1
GIT_PS1_SHOWSTASHSTATE=1
GIT_PS1_SHOWUNTRACKEDFILES=1
GIT_PS1_SHOWUPSTREAM="verbose"
export GIT_PS1_SHOWDIRTYSTATE
export GIT_PS1_SHOWSTASHSTATE
export GIT_PS1_SHOWUNTRACKEDFILES
export GIT_PS1_SHOWUPSTREAM
PS1='\[\e[32m\]\u\[\e[00m\]:\[\e[34m\]\w\[\e[00m\]\[\e[35m\]$(__git_ps1 " (%s)")\[\e[00m\] $ '
export PS1
@urschrei
urschrei / output_geojson.py
Last active July 3, 2025 05:03
Output a GeoJSON FeatureCollection to file from dict point data input
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
output geojson.py
Created by Stephan Hügel on 2015-02-26
I can *never* remember how to efficiently do this, so I'm making a gist.
This should be easily adaptable to use with LineStrings, Polygons etc by
altering the 'geometry' dict accordingly
@urschrei
urschrei / plot_groups_over_time.py
Last active August 29, 2015 14:13
Loop through a grouped, time-series-indexed Pandas DataFrame, plotting category counts per year
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
# this data won't work (it's only for one year), it's only illustrative
df = pd.DataFrame({
'Age': {0: 32, 1: 38, 2: 45, 3: 39, 4: 44},
'County': {0: 'Bexar', 1: 'Tarrant', 2: 'Harris', 3: 'Nueces', 4: 'Kerr'},
'Date Executed': {
0: '10/28/2014',
@urschrei
urschrei / albaenia.py
Created December 1, 2014 11:16
# coding: utf-8
# In[147]:
from Circles.circles import circle
from mpl_toolkits.basemap import Basemap
import matplotlib.pyplot as plt
from matplotlib.collections import PatchCollection
from shapely.geometry import Polygon, MultiPolygon, Point, LineString
@urschrei
urschrei / contour.ipynb
Last active March 14, 2021 16:11
Map interpolated values using a contour plot, and a scatter plot
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@urschrei
urschrei / hexgrid.py
Last active May 4, 2022 11:57
Python Hexgrid
import math
def calculate_polygons(startx, starty, endx, endy, radius):
"""
Calculate a grid of hexagon coordinates of the given radius
given lower-left and upper-right coordinates
Returns a list of lists containing 6 tuples of x, y point coordinates
These can be used to construct valid regular hexagonal polygons