Support for command line arguments
This commit is contained in:
Thomas Kolb
parent
af794b0598
commit
a766274d79
185
qsomap.py
185
qsomap.py
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@ -1,16 +1,18 @@
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#!/usr/bin/env python3
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import sys
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import svgwrite
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import numpy as np
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import matplotlib.pyplot as pp
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from matplotlib.colors import hsv_to_rgb
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import json
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import random
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import argparse
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REF_LATITUDE = 49.58666
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REF_LONGITUDE = 11.01250
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# REF_LATITUDE = 1
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# REF_LONGITUDE = 0
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# REF_LATITUDE = -30
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# REF_LONGITUDE = 90
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def map_azimuthal_equidistant(lat, lon, ref_lat, ref_lon, R=1):
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@ -63,37 +65,38 @@ def random_country_color():
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return f"#{r:02x}{g:02x}{b:02x}"
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random.seed(0)
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def render(ref_lat, ref_lon, output_stream):
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random.seed(0)
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""" Test code
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test_lat = [np.pi/2, np.pi/4, 0, -np.pi/4, -np.pi/2]
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test_lon = np.arange(-np.pi, np.pi, np.pi/4)
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""" Test code
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test_lat = [np.pi/2, np.pi/4, 0, -np.pi/4, -np.pi/2]
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test_lon = np.arange(-np.pi, np.pi, np.pi/4)
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for lat in test_lat:
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for lat in test_lat:
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for lon in test_lon:
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x, y = map_azimuthal_equidistant(np.array([lat]), np.array([lon]), np.pi/2, 0)
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print(f"{lat*180/np.pi:6.3f}, {lon*180/np.pi:6.3f} => {x[0]:6.3f}, {y[0]:6.3f}")
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"""
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print(f"{lat*180/np.pi:6.3f}, {lon*180/np.pi:6.3f} => {x[0]:6.3f}, {y[0]:6.3f}", file=sys.stderr)
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"""
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print("Loading Geodata…")
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print("Loading Geodata…", file=sys.stderr)
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with open('geo-countries/data/countries.geojson', 'r') as jfile:
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with open('geo-countries/data/countries.geojson', 'r') as jfile:
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geojson = json.load(jfile)
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print("Finding boundaries…")
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print("Finding boundaries…", file=sys.stderr)
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# key: 3-letter country identifier
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# data: {full_name, numpy.array(coordinates), numpy.array(proj_coordinates)}.
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# coordinates is a list of 2xN arrays, where N is the number of points. Row 0
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# contains the longitude, Row 1 the latitude.
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# proj_coordinates is a list of 2xN arrays, where N is the number of points.
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# Row 0 contains the projected x, Row 1 the projected y.
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simplegeodata = {}
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# key: 3-letter country identifier
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# data: {full_name, numpy.array(coordinates), numpy.array(proj_coordinates)}.
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# coordinates is a list of 2xN arrays, where N is the number of points. Row 0
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# contains the longitude, Row 1 the latitude.
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# proj_coordinates is a list of 2xN arrays, where N is the number of points.
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# Row 0 contains the projected x, Row 1 the projected y.
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simplegeodata = {}
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features = geojson['features']
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features = geojson['features']
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for feature in features:
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for feature in features:
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name = feature['properties']['ADMIN']
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key = feature['properties']['ISO_A2']
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@ -101,7 +104,7 @@ for feature in features:
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if key in simplegeodata.keys():
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key = name
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print(f"Preparing {key} ({name})…")
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print(f"Preparing {key} ({name})…", file=sys.stderr)
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multipoly = feature['geometry']['coordinates']
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@ -121,48 +124,48 @@ for feature in features:
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simplegeodata[key] = {"name": name, "coordinates": conv_polys}
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ref_lat = REF_LATITUDE * np.pi / 180
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ref_lon = REF_LONGITUDE * np.pi / 180
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ref_lat = ref_lat * np.pi / 180
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ref_lon = ref_lon * np.pi / 180
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R = 500
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R = 500
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"""
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# Override data with test coordinate system
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coords = []
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"""
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# Override data with test coordinate system
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coords = []
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N = 128
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N = 128
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# constant-latitude circles
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coords.append(np.array([np.linspace(-np.pi, np.pi, N),
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# constant-latitude circles
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coords.append(np.array([np.linspace(-np.pi, np.pi, N),
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np.ones(N) * np.pi/4]))
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coords.append(np.array([np.linspace(-np.pi, np.pi, N),
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coords.append(np.array([np.linspace(-np.pi, np.pi, N),
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np.ones(N) * 0]))
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coords.append(np.array([np.linspace(-np.pi, np.pi, N),
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coords.append(np.array([np.linspace(-np.pi, np.pi, N),
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np.ones(N) * -np.pi/4]))
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# constant-longitude half-circles
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coords.append(np.array([np.ones(N) * -4*np.pi/4,
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# constant-longitude half-circles
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coords.append(np.array([np.ones(N) * -4*np.pi/4,
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np.linspace(-np.pi/2, np.pi/2, N)]))
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coords.append(np.array([np.ones(N) * -3*np.pi/4,
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coords.append(np.array([np.ones(N) * -3*np.pi/4,
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np.linspace(-np.pi/2, np.pi/2, N)]))
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coords.append(np.array([np.ones(N) * -2*np.pi/4,
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coords.append(np.array([np.ones(N) * -2*np.pi/4,
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np.linspace(-np.pi/2, np.pi/2, N)]))
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coords.append(np.array([np.ones(N) * -1*np.pi/4,
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coords.append(np.array([np.ones(N) * -1*np.pi/4,
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np.linspace(-np.pi/2, np.pi/2, N)]))
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coords.append(np.array([np.ones(N) * 0*np.pi/4,
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coords.append(np.array([np.ones(N) * 0*np.pi/4,
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np.linspace(-np.pi/2, np.pi/2, N)]))
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coords.append(np.array([np.ones(N) * 1*np.pi/4,
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coords.append(np.array([np.ones(N) * 1*np.pi/4,
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np.linspace(-np.pi/2, np.pi/2, N)]))
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coords.append(np.array([np.ones(N) * 2*np.pi/4,
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coords.append(np.array([np.ones(N) * 2*np.pi/4,
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np.linspace(-np.pi/2, np.pi/2, N)]))
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coords.append(np.array([np.ones(N) * 3*np.pi/4,
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coords.append(np.array([np.ones(N) * 3*np.pi/4,
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np.linspace(-np.pi/2, np.pi/2, N)]))
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simplegeodata = {"XY": {'name': 'test', 'coordinates': coords}}
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"""
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simplegeodata = {"XY": {'name': 'test', 'coordinates': coords}}
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"""
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# apply azimuthal equidistant projection
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for k, v in simplegeodata.items():
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# apply azimuthal equidistant projection
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for k, v in simplegeodata.items():
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proj_polys = []
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for poly in v['coordinates']:
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@ -181,11 +184,11 @@ for k, v in simplegeodata.items():
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v['proj_coordinates'] = proj_polys
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# generate the SVG
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# generate the SVG
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doc = svgwrite.Drawing("/tmp/test.svg", size=(2*R, 2*R))
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doc = svgwrite.Drawing("/tmp/test.svg", size=(2*R, 2*R))
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doc.defs.add(doc.style("""
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doc.defs.add(doc.style("""
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.country {
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stroke: black;
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stroke-width: 0.01px;
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@ -209,13 +212,13 @@ doc.defs.add(doc.style("""
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stroke-width: 0.1px;
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opacity: 0.5;
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}
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"""))
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"""))
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doc.add(doc.circle(center=(R, R), r=R, fill='#ddeeff',
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doc.add(doc.circle(center=(R, R), r=R, fill='#ddeeff',
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stroke_width=1, stroke='black'))
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for k, v in simplegeodata.items():
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print(f"Exporting {k}…")
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for k, v in simplegeodata.items():
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print(f"Exporting {k}…", file=sys.stderr)
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color = random_country_color()
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@ -233,10 +236,10 @@ for k, v in simplegeodata.items():
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group.set_desc(title=v['name'])
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doc.add(group)
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# generate equidistant circles
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# generate equidistant circles
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d_max = 40075/2
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for distance in [500, 1000, 2000, 3000, 4000, 5000, 6000, 8000, 10000, 12000,
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d_max = 40075/2
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for distance in [500, 1000, 2000, 3000, 4000, 5000, 6000, 8000, 10000, 12000,
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14000, 16000, 18000, 20000]:
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r = R * distance / d_max
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doc.add(doc.circle(center=(R, R), r=r,
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@ -245,9 +248,9 @@ for distance in [500, 1000, 2000, 3000, 4000, 5000, 6000, 8000, 10000, 12000,
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doc.add(doc.text(f"{distance} km", (R, R-r+5),
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**{'class': 'dist_circle_label'}))
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# generate azimuth lines in 30° steps
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# generate azimuth lines in 30° steps
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for azimuth in np.arange(0, np.pi, np.pi/6):
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for azimuth in np.arange(0, np.pi, np.pi/6):
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start_x = R + R * np.cos(azimuth-np.pi/2)
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start_y = R + R * np.sin(azimuth-np.pi/2)
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end_x = R - R * np.cos(azimuth-np.pi/2)
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@ -269,14 +272,14 @@ for azimuth in np.arange(0, np.pi, np.pi/6):
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txt.rotate(azimuth_deg - 90 + 180, center=(R, R))
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doc.add(txt)
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# generate Maidenhead locator grid (first two letters only)
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# generate Maidenhead locator grid (first two letters only)
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group = doc.g()
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group = doc.g()
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N = 18 # subdivisions of Earth
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resolution = 4096
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N = 18 # subdivisions of Earth
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resolution = 4096
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for x in range(0, N):
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for x in range(0, N):
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lon = x * 2 * np.pi / N
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lat = np.linspace(-np.pi/2, np.pi/2, resolution)
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@ -285,7 +288,7 @@ for x in range(0, N):
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group.add(doc.polyline(points, **{'class': 'maidenhead_line'}))
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for y in range(0, N):
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for y in range(0, N):
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lon = np.linspace(-np.pi, np.pi, resolution)
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lat = y * np.pi / N - np.pi/2
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@ -294,39 +297,55 @@ for y in range(0, N):
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group.add(doc.polyline(points, **{'class': 'maidenhead_line'}))
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doc.add(group)
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doc.add(group)
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"""
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for x in range(0, 26):
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"""
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for x in range(0, 26):
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for y in range(0, 26):
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sectorname = chr(ord('A')+x) + chr(ord('A')+y)
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"""
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"""
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print(f"Writing output…", file=sys.stderr)
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doc.write(output_stream, pretty=True)
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print(f"Saving {doc.filename}…")
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doc.save(pretty=True)
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return
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exit(0)
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# Debug Plot
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# Debug Plot
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for k, v in simplegeodata.items():
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for k, v in simplegeodata.items():
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for poly in v['proj_coordinates']:
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pp.plot(poly[0, :], poly[1, :])
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pp.plot([-1, 1], [0, 0], 'k', linewidth=0.5)
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pp.plot([0, 0], [-1, 1], 'k', linewidth=0.5)
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pp.plot([-1, 1], [0, 0], 'k', linewidth=0.5)
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pp.plot([0, 0], [-1, 1], 'k', linewidth=0.5)
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t = np.linspace(-np.pi, np.pi, 256)
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ct, st = np.cos(t), np.sin(t)
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pp.plot(ct, st, 'k', linewidth=0.5)
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t = np.linspace(-np.pi, np.pi, 256)
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ct, st = np.cos(t), np.sin(t)
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pp.plot(ct, st, 'k', linewidth=0.5)
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U = 40075
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for distance in np.arange(0, U/2, 2000):
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U = 40075
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for distance in np.arange(0, U/2, 2000):
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f = distance / (U/2)
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pp.plot(f*ct, f*st, 'k', linewidth=0.2)
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pp.axis('equal')
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pp.axis('equal')
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pp.show()
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pp.show()
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(
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description="Render an azimuthal equidistant map of the world " +
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"centered on the given point")
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parser.add_argument(metavar='ref-lat', type=float, dest='ref_lat',
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help='Reference Latitude')
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parser.add_argument(metavar='ref-lon', type=float, dest='ref_lon',
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help='Reference Longitude')
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parser.add_argument('-o', '--output-file', type=argparse.FileType('w'),
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help='The output SVG file (default: print to stdout)',
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default=sys.stdout)
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args = parser.parse_args()
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render(args.ref_lat, args.ref_lon, args.output_file)
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