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plot_map.py 11.19 KB
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ni1o1 authored 2020-07-24 20:20 . add bili page
import pandas as pd
import numpy as np
import math
import urllib
import io
from PIL import Image
def deg2num(lat_deg, lon_deg, zoom):
lat_rad = math.radians(lat_deg)
n = 2.0 ** zoom
xtile = int((lon_deg + 180.0) / 360.0 * n)
ytile = int((1.0 - math.log(math.tan(lat_rad) + (1 / math.cos(lat_rad))) / math.pi) / 2.0 * n)
return (xtile, ytile)
def num2deg(xtile, ytile, zoom):
n = 2.0 ** zoom
lon_deg = xtile / n * 360.0 - 180.0
lat_rad = math.atan(math.sinh(math.pi * (1 - 2 * ytile / n)))
lat_deg = math.degrees(lat_rad)
return (lat_deg, lon_deg)
def getImageCluster( lon_deg,lat_deg, delta_long, delta_lat,zoom,style,printlog,imgsavepath,apikey = '',access_token = '',styleid = 'cjrewwj3l2dwt2tptkiu09scd'):
'''
apikey - openstreetmap token
access_token - mapbox token
'''
if style == 1:
smurl = r'https://a.tile.thunderforest.com/cycle/{0}/{1}/{2}.png?apikey='+apikey
if style == 2:
smurl = r'https://a.tile.thunderforest.com/transport/{0}/{1}/{2}.png?apikey='+apikey
if style == 3:
smurl = r'https://tile-b.openstreetmap.fr/hot/{0}/{1}/{2}.png'
if style == 4:
smurl = r'https://tiles.wmflabs.org/bw-mapnik/{0}/{1}/{2}.png'
if style == 5:
smurl = r'http://a.tile.stamen.com/toner/{0}/{1}/{2}.png'
if style == 6:
smurl = r'http://c.tile.stamen.com/watercolor/{0}/{1}/{2}.png'
if style == 7:
if styleid == 'dark':
styleid = 'cjetnd20i1vbi2qqxbh0by7p8'
if styleid == 'light':
styleid = 'cjrewwj3l2dwt2tptkiu09scd'
smurl = r'https://api.mapbox.com/styles/v1/ni1o1/'+styleid+r'/tiles/256/{0}/{1}/{2}?&access_token='+access_token
else:
styleid = ''
xmin, ymax =deg2num(lat_deg, lon_deg, zoom)
xmax, ymin =deg2num(lat_deg + delta_lat, lon_deg + delta_long, zoom)
def get_img(smurl,zoom, xtile, ytile,imgsize,imgsavepath):
import os
filename = str(style)+str(styleid)+'-'+str(zoom)+'-'+str(xtile)+'-'+str(ytile)+'-'+str(imgsize)+'.png'
def savefig(filename,tile):
try:
if 'tileimg' in os.listdir(imgsavepath):
if filename in os.listdir(imgsavepath+'tileimg'):
pass
else:
tile.save(imgsavepath+'tileimg\\'+filename)
print('figsaved:'+filename)
else:
os.mkdir(imgsavepath+'tileimg')
except:
pass
def loadfig(filename):
try:
if 'tileimg' in os.listdir(imgsavepath):
if filename in os.listdir(imgsavepath+'tileimg'):
tile = Image.open(imgsavepath+'tileimg\\'+filename)
return tile
else:
return None
else:
os.mkdir(imgsavepath+'tileimg')
return None
except:
return None
tile = loadfig(filename)
if tile is None:
try:
t = 0
while t<10:
try:
imgurl=smurl.format(zoom, xtile, ytile)
#print("Opening: " + imgurl)
imgstr = urllib.request.urlopen(imgurl,timeout = 6).read()
tile = Image.open(io.BytesIO(imgstr))
savefig(filename,tile)
Cluster.paste(tile, box=((xtile-xmin)*imgsize , (ytile-ymin)*imgsize))
t = 10
except:
if printlog:
print('Get map tile failed, retry ',t)
t += 1
except:
print("Couldn't download image")
tile = None
else:
Cluster.paste(tile, box=((xtile-xmin)*imgsize , (ytile-ymin)*imgsize))
imgsize = 256
import threading
threads = []
Cluster = Image.new('RGB',((xmax-xmin+1)*imgsize-1,(ymax-ymin+1)*imgsize-1))
for xtile in range(xmin, xmax+1):
for ytile in range(ymin, ymax+1):
threads.append(threading.Thread(target=get_img,args = (smurl,zoom, xtile, ytile,imgsize,imgsavepath)))
for t in threads:
t.setDaemon(True)
t.start()
for t in threads:
t.join()
threads.clear()
return Cluster
def plot_map(plt,bounds,zoom,style,imgsavepath = 'C:\\',printlog = False,apikey = '',access_token = '',styleid = 'dark'):
'''
bounds -- Set your plotting boundary [lon1,lat1,lon2,lat2] (wgs1984)
zoom -- The zoom level of the map
style -- From 1 to 7 represent different map styles,1-6 is from openstreetmap and 7 is the mapbox
styleid -- if style is set as 7(from mapbox), you can change the styleid here, "dark" or "light" or your own style
imgsavepath -- Path to save the tile map so that you don't have to download again
'''
try:
import os
os.listdir(imgsavepath)
except:
print('imgsavepath do not exist, your tile map will not save')
lon1= bounds[0]
lat1 = bounds[1]
lon2 = bounds[2]
lat2 = bounds[3]
a = getImageCluster(lon1, lat1, lon2-lon1, lat2-lat1, zoom,style,printlog = printlog,imgsavepath = imgsavepath,apikey = apikey,access_token = access_token, styleid = styleid)
x1, y1 =deg2num(lat1, lon1, zoom)
x2, y2 =deg2num(lat2, lon2, zoom)
x1,y1 = num2deg(x1, y1+1, zoom)
x2,y2 = num2deg(x2+1, y2, zoom)
plt.imshow(np.asarray(a),extent = (y1,y2,x1+0.00,x2+0.00))
def plotscale(ax,bounds,textcolor = 'k',textsize = 8,compasssize = 1,accuracy = 'auto',rect=[0.1,0.1],unit = "KM",style = 1):
#栅格化代码
import math
#划定栅格划分范围
lon1 = bounds[0]
lat1 = bounds[1]
lon2 = bounds[2]
lat2 = bounds[3]
latStart = min(lat1, lat2);
lonStart = min(lon1, lon2);
if accuracy == 'auto':
accuracy = (int((lon2-lon1)/0.0003/1000+0.5)*1000)
a,c=rect
b = 1-a
d = 1-c
alon,alat = (b*lon1+a*lon2)/(a+b),(d*lat1+c*lat2)/(c+d)
#计算栅格的经纬度增加量大小▲Lon和▲Lat
deltaLon = accuracy * 360 / (2 * math.pi * 6371004 * math.cos((lat1 + lat2) * math.pi / 360));
#加比例尺
from shapely.geometry import Polygon
import geopandas as gpd
if style == 1:
scale = gpd.GeoDataFrame({'color':[(0,0,0),(1,1,1),(0,0,0),(1,1,1)],'geometry':
[Polygon([(alon,alat),(alon+deltaLon,alat),(alon+deltaLon,alat+deltaLon*0.4),(alon,alat+deltaLon*0.4)]),
Polygon([(alon+deltaLon,alat),(alon+2*deltaLon,alat),(alon+2*deltaLon,alat+deltaLon*0.4),(alon+deltaLon,alat+deltaLon*0.4)]),
Polygon([(alon+2*deltaLon,alat),(alon+4*deltaLon,alat),(alon+4*deltaLon,alat+deltaLon*0.4),(alon+2*deltaLon,alat+deltaLon*0.4)]),
Polygon([(alon+4*deltaLon,alat),(alon+8*deltaLon,alat),(alon+8*deltaLon,alat+deltaLon*0.4),(alon+4*deltaLon,alat+deltaLon*0.4)])
]})
scale.plot(ax = ax,edgecolor= (0,0,0,1),facecolor = scale['color'],lw = 0.6)
if (unit == 'KM')|(unit == 'km'):
ax.annotate(str(int(accuracy/1000)),color = textcolor,size = textsize,xy=(alon+deltaLon,alat+deltaLon*0.2), xytext=(-textsize*3/5,textsize/1.5), textcoords='offset points')
ax.annotate(str(int(2*accuracy/1000)),color = textcolor,size = textsize,xy=(alon+2*deltaLon,alat+deltaLon*0.2), xytext=(-textsize*3/5,textsize/1.5), textcoords='offset points')
ax.annotate(str(int(4*accuracy/1000)),color = textcolor,size = textsize,xy=(alon+4*deltaLon,alat+deltaLon*0.2), xytext=(-textsize*3/5,textsize/1.5), textcoords='offset points')
ax.annotate(str(int(8*accuracy/1000)),color = textcolor,size = textsize,xy=(alon+8*deltaLon,alat+deltaLon*0.2), xytext=(-textsize*3/5,textsize/1.5), textcoords='offset points')
ax.annotate(unit,size = textsize,color = textcolor,xy=(alon+8*deltaLon,alat+deltaLon*0.1), xytext=(textsize*2/5,-textsize/5), textcoords='offset points')
if (unit == 'M')|(unit == 'm'):
ax.annotate(str(int(accuracy)),color = textcolor,size = textsize,xy=(alon+deltaLon,alat+deltaLon*0.2), xytext=(-textsize*3/5,textsize/1.5), textcoords='offset points')
ax.annotate(str(int(2*accuracy)),color = textcolor,size = textsize,xy=(alon+2*deltaLon,alat+deltaLon*0.2), xytext=(-textsize*3/5,textsize/1.5), textcoords='offset points')
ax.annotate(str(int(4*accuracy)),color = textcolor,size = textsize,xy=(alon+4*deltaLon,alat+deltaLon*0.2), xytext=(-textsize*3/5,textsize/1.5), textcoords='offset points')
ax.annotate(str(int(8*accuracy)),color = textcolor,size = textsize,xy=(alon+8*deltaLon,alat+deltaLon*0.2), xytext=(-textsize*3/5,textsize/1.5), textcoords='offset points')
ax.annotate(unit,size = textsize,color = textcolor,xy=(alon+8*deltaLon,alat+deltaLon*0.1), xytext=(textsize*2/5,-textsize/5), textcoords='offset points')
if style == 2:
scale = gpd.GeoDataFrame({'color':[(0,0,0),(1,1,1)],'geometry':
[Polygon([(alon+deltaLon,alat),(alon+4*deltaLon,alat),(alon+4*deltaLon,alat+deltaLon*0.4),(alon+deltaLon,alat+deltaLon*0.4)]),
Polygon([(alon+4*deltaLon,alat),(alon+8*deltaLon,alat),(alon+8*deltaLon,alat+deltaLon*0.4),(alon+4*deltaLon,alat+deltaLon*0.4)])
]})
scale.plot(ax = ax,edgecolor= (0,0,0,1),facecolor = scale['color'],lw = 0.6)
if (unit == 'KM')|(unit == 'km'):
ax.annotate(str(int(4*accuracy/1000)),color = textcolor,size = textsize,xy=(alon+4*deltaLon,alat+deltaLon*0.2), xytext=(-textsize*3/5,textsize/1.5), textcoords='offset points')
ax.annotate(str(int(8*accuracy/1000)),color = textcolor,size = textsize,xy=(alon+8*deltaLon,alat+deltaLon*0.2), xytext=(-textsize*3/5,textsize/1.5), textcoords='offset points')
ax.annotate(unit,size = textsize,color = textcolor,xy=(alon+8*deltaLon,alat+deltaLon*0.1), xytext=(textsize*2/5,-textsize/5), textcoords='offset points')
if (unit == 'M')|(unit == 'm'):
ax.annotate(str(int(4*accuracy)),color = textcolor,size = textsize,xy=(alon+4*deltaLon,alat+deltaLon*0.2), xytext=(-textsize*3/5,textsize/1.5), textcoords='offset points')
ax.annotate(str(int(8*accuracy)),color = textcolor,size = textsize,xy=(alon+8*deltaLon,alat+deltaLon*0.2), xytext=(-textsize*3/5,textsize/1.5), textcoords='offset points')
ax.annotate(unit,size = textsize,color = textcolor,xy=(alon+8*deltaLon,alat+deltaLon*0.1), xytext=(textsize*2/5,-textsize/5), textcoords='offset points')
#加指北针
deltaLon = compasssize*deltaLon
alon = alon-deltaLon
compass = gpd.GeoDataFrame({'color':[(0,0,0),(1,1,1)],'geometry':
[Polygon([[alon,alat],[alon,alat+deltaLon],[alon+1/2*deltaLon,alat-1/2*deltaLon]]),
Polygon([[alon,alat],[alon,alat+deltaLon],[alon-1/2*deltaLon,alat-1/2*deltaLon]])]})
compass.plot(ax= ax, edgecolor= (0,0,0,1),facecolor = compass['color'],lw = 0.6)
ax.annotate('N',color = textcolor,size = textsize,xy=[alon,alat+deltaLon], xytext=(-textsize*2/5,textsize/2), textcoords='offset points')

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