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# Copyright (C) Wesley Ebisuzaki
# Copyright (C) 2009 Andrew Ross
# Copyright (C) 2009-2016 Alan W. Irwin
#
# Illustrates backdrop plotting of world, US maps.
#
# This file is part of PLplot.
#
# PLplot is free software; you can redistribute it and/or modify
# it under the terms of the GNU Library General Public License as published
# by the Free Software Foundation; either version 2 of the License, or
# (at your option) any later version.
#
# PLplot is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Library General Public License for more details.
#
# You should have received a copy of the GNU Library General Public License
# along with PLplot; if not, write to the Free Software
# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
#
# Workaround for inability (due to current limitation of bindings/python implementation)
# to pass the w namespace to geolocation_labeler.
import plplot as workaround_w
from numpy import *
def map_transform( x, y, xt, yt, data ):
radius = 90.0 - y
xt[0] = radius * cos( x * pi / 180.0 )
yt[0] = radius * sin( x * pi / 180.0 )
# mapform19
#
# Defines specific coordinate transformation for example 19.
# Not to be confused with mapform in src/plmap.c.
# x[], y[] are the coordinates to be plotted.
def mapform19(n, x, y):
for i in range(n):
radius = 90.0 - y[i]
xp = radius * cos(x[i] * pi / 180.0)
yp = radius * sin(x[i] * pi / 180.0)
x[i] = xp
y[i] = yp
return [x,y]
## "Normalize" longitude values so that they always fall between -180.0 and
## 180.0
def normalize_longitude(lon):
if ((lon >= -180.0) and (lon <= 180.0)):
return lon
else :
times = floor ((fabs(lon) + 180.0) / 360.0)
if (lon < 0.0) :
return(lon + 360.0 * times)
else :
return(lon - 360.0 * times)
## A custom axis labeling function for longitudes and latitudes.
# Workaround for being currently unable (due to limitation
# in bindings/python implementation) to get access to w
# namespace via above data argument.
def geolocation_labeler(axis, value, data):
#def geolocation_labeler(axis, value, w):
w = workaround_w
if (axis == w.PL_Y_AXIS) :
label_val = value
if (label_val > 0.0) :
direction_label = " N"
elif (label_val < 0.0) :
direction_label = " S"
else :
direction_label = "Eq"
elif (axis == w.PL_X_AXIS) :
label_val = normalize_longitude(value)
if (label_val > 0.0) :
direction_label = " E"
elif (label_val < 0.0) :
direction_label = " W"
else :
direction_label = ""
if (value == 0.0 and axis == w.PL_Y_AXIS) :
# A special case for the equator
label = direction_label
else :
label = str(int(abs(label_val))) + direction_label
return label
# main
#
# Does a series of 3-d plots for a given data set, with different
# viewing options in each plot.
def main(w):
# Longitude (x) and latitude (y)
miny = -70
maxy = 80
# Cartesian plots
# Most of world
minx = -170
maxx = minx+360
# Setup a custom latitude and longitude-based scaling function.
w.plslabelfunc(geolocation_labeler, None)
#w.plslabelfunc(geolocation_labeler, w)
w.plcol0(1)
w.plenv(minx, maxx, miny, maxy, 1, 70)
w.plmap(None, "usaglobe", minx, maxx, miny, maxy)
# The Americas
minx = 190
maxx = 340
w.plcol0(1)
w.plenv(minx, maxx, miny, maxy, 1, 70)
w.plmap(None, "usaglobe", minx, maxx, miny, maxy)
# Clear the labeling function
w.plslabelfunc(None, None)
# Polar, Northern hemisphere
minx = 0
maxx = 360
w.plenv(-75., 75., -75., 75., 1, -1)
w.plmap(mapform19,"globe", minx, maxx, miny, maxy)
w.pllsty(2)
w.plmeridians(mapform19,10.0, 10.0, 0.0, 360.0, -10.0, 80.0)
# Polar, Northern hemisphere, this time with a PLplot-wide transform
minx = 0
maxx = 360
w.plstransform( map_transform, None )
w.pllsty( 1 )
w.plenv( -75., 75., -75., 75., 1, -1 )
# No need to set the map transform here as the global transform will be
# used.
w.plmap( None, "globe", minx, maxx, miny, maxy )
w.pllsty( 2 )
w.plmeridians( None, 10.0, 10.0, 0.0, 360.0, -10.0, 80.0 )
# Show Baltimore, MD on the map
w.plcol0( 2 )
w.plssym( 0.0, 2.0 )
x = [ -76.6125 ]
y = [ 39.2902778 ]
w.plpoin( x, y, 18 )
w.plssym( 0.0, 1.0 )
w.plptex( -76.6125, 43.0, 0.0, 0.0, 0.0, "Baltimore, MD" )
# For C, this is how the global transform is cleared
w.plstransform( None, None )
# An example using shapefiles. The shapefiles used are from Ordnance Survey, UK.
# These were chosen because they provide shapefiles for small grid boxes which
# are easilly manageable for this demo.
w.pllsty( 1 )
minx = 240570
maxx = 621109
miny = 87822
maxy = 722770
w.plscol0( 0, 255, 255, 255 )
w.plscol0( 1, 0, 0, 0 )
w.plscol0( 2, 150, 150, 150 )
w.plscol0( 3, 0, 50, 200 )
w.plscol0( 4, 50, 50, 50 )
w.plscol0( 5, 150, 0, 0 )
w.plscol0( 6, 100, 100, 255 )
minx = 265000
maxx = 270000
miny = 145000
maxy = 150000
w.plscol0( 0, 255, 255, 255 ) #white
w.plscol0( 1, 0, 0, 0 ) #black
w.plscol0( 2, 255, 200, 0 ) #yelow for sand
w.plscol0( 3, 60, 230, 60 ) #green for woodland
w.plscol0( 4, 210, 120, 60 ) #brown for contours
w.plscol0( 5, 150, 0, 0 ) #red for major roads
w.plscol0( 6, 180, 180, 255 ) #pale blue for water
w.plscol0( 7, 100, 100, 100 ) #pale grey for shingle or boulders
w.plscol0( 8, 100, 100, 100 ) #dark grey for custom polygons - generally crags
w.plcol0( 1 )
w.plenv( minx, maxx, miny, maxy, 1, -1 )
w.pllab( "", "", "Martinhoe CP, Exmoor National Park, UK (shapelib only)" )
#Beach
w.plcol0( 2 )
beachareas = array([ 23, 24 ])
w.plmapfill( None, "ss/ss64ne_Landform_Area", minx, maxx, miny, maxy, beachareas)
#woodland
w.plcol0( 3 )
nwoodlandareas = 94
woodlandareas = arange(nwoodlandareas) + 218
w.plmapfill( None, "ss/ss64ne_Landform_Area", minx, maxx, miny, maxy, woodlandareas )
#shingle or boulders
w.plcol0( 7 )
shingleareas = array([ 0, 1, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 217, 2424, 2425, 2426, 2427, 2428, 2491, 2577 ])
w.plmapfill( None, "ss/ss64ne_Landform_Area", minx, maxx, miny, maxy, shingleareas )
#crags
w.plcol0( 8 )
ncragareas = 2024
cragareas = arange(ncragareas) + 325
w.plmapfill( None, "ss/ss64ne_Landform_Area", minx, maxx, miny, maxy, cragareas )
#draw contours, we need to separate contours from high/low coastline
#draw_contours(pls, "ss/SS64_line", 433, 20, 4, 3, minx, maxx, miny, maxy )
w.plcol0( 4 )
w.plmapline( None, "ss/ss64ne_Height_Contours", minx, maxx, miny, maxy, None )
#draw the sea and surface water
w.plwidth( 0.0 )
w.plcol0( 6 )
w.plmapfill( None, "ss/ss64ne_Water_Area", minx, maxx, miny, maxy, None )
w.plwidth( 2.0 )
w.plmapline( None, "ss/ss64ne_Water_Line", minx, maxx, miny, maxy, None )
#draw the roads, first with black and then thinner with colour to give an
#an outlined appearance
w.plwidth( 5.0 )
w.plcol0( 1 )
w.plmapline( None, "ss/ss64ne_Road_Centreline", minx, maxx, miny, maxy, None )
w.plwidth( 3.0 )
w.plcol0( 0 )
w.plmapline( None, "ss/ss64ne_Road_Centreline", minx, maxx, miny, maxy, None )
w.plcol0( 5 )
majorroads = array([ 33, 48, 71, 83, 89, 90, 101, 102, 111 ])
w.plmapline( None, "ss/ss64ne_Road_Centreline", minx, maxx, miny, maxy, majorroads )
#draw buildings
w.plwidth( 1.0 )
w.plcol0( 1 )
w.plmapfill( None, "ss/ss64ne_Building_Area", minx, maxx, miny, maxy, None )
#labels
w.plsfci( 0x80000100 )
w.plschr( 0, 0.8 )
w.plmaptex( None, "ss/ss64ne_General_Text", 1.0, 0.0, 0.5, "MARTINHOE CP", minx, maxx, miny, maxy, 202 )
w.plschr( 0, 0.7 )
w.plmaptex( None, "ss/ss64ne_General_Text", 1.0, 0.0, 0.5, "Heale\nDown", minx, maxx, miny, maxy, 13 )
w.plmaptex( None, "ss/ss64ne_General_Text", 1.0, 0.0, 0.5, "South\nDown", minx, maxx, miny, maxy, 34 )
w.plmaptex( None, "ss/ss64ne_General_Text", 1.0, 0.0, 0.5, "Martinhoe\nCommon", minx, maxx, miny, maxy, 42 )
w.plmaptex( None, "ss/ss64ne_General_Text", 1.0, 0.0, 0.5, "Woody Bay", minx, maxx, miny, maxy, 211 )
w.plschr( 0, 0.6 )
w.plmaptex( None, "ss/ss64ne_General_Text", 1.0, 0.0, 0.5, "Mill Wood", minx, maxx, miny, maxy, 16 )
w.plmaptex( None, "ss/ss64ne_General_Text", 1.0, 0.0, 0.5, "Heale Wood", minx, maxx, miny, maxy, 17 )
w.plmaptex( None, "ss/ss64ne_General_Text", 1.0, 0.0, 1.0, "Bodley", minx, maxx, miny, maxy, 31 )
w.plmaptex( None, "ss/ss64ne_General_Text", 1.0, 0.0, 0.0, "Martinhoe", minx, maxx, miny, maxy, 37 )
w.plmaptex( None, "ss/ss64ne_General_Text", 1.0, 0.0, 0.5, "Woolhanger\nCommon", minx, maxx, miny, maxy, 60 )
w.plmaptex( None, "ss/ss64ne_General_Text", 1.0, 0.0, 0.5, "West Ilkerton\nCommon", minx, maxx, miny, maxy, 61 )
w.plmaptex( None, "ss/ss64ne_General_Text", 1.0, 0.0, 0.5, "Caffyns\nHeanton\nDown", minx, maxx, miny, maxy, 62 )
# Restore defaults
w.plschr( 0.0, 1.0 )
# cmap0 default color palette.
w.plspal0("cmap0_default.pal")
# Must be done independently because otherwise this changes output files
# and destroys agreement with C examples.
#w.plcol0(1)
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