Isn't it fragrant to draw a map with BaseMap

I. Preface

Using basemap to draw a map is simple and convenient. Using basemap needs to be combined with other libraries. The common one is matplotlib; After reading this article, readers will learn to simply use basemap or world map, country map, province and even specific region, etc; If the author's article is good, please praise and pay attention. Thank you. Don't play whoring for nothing;

II. BaseMap drawing

Map background description

drawcoastlines(): draw the coastline.
Fillcontaints(): coloring the interior of the continent (by filling the coastline polygon)
drawcountries(): draw national boundaries.
drawstates (): draw the state boundaries of North America.
drawrivers (): draw rivers.
drawlsmask(): draws a high-resolution sea land mask as an image, specifying land and ocean colors.
bluemarble (): draw a NASA blue marble image as the map background.
shadedrelief (): draws a shadow relief image as the map background.
Etopo (): draw an etopo relief image as the map background.
warpimage (): use abitrary image as map background. The image must be global, from the international data line to the East and the south pole to the north, covering the world in latitude / longitude coordinates.

2.1 arcgis REST API service drawing image

Basemap parameter description

llcrnrlon longitude lower bound
Lower bound of llcrnrlat latitude
Upper bound of urcrnrlon longitude
Upper bound of urcrnrlat latitude

arcgisimage parameter description

Server remote server address
service basemap type
xpixels scaling
dpi resolution
verbose prints the URL used to get the remote image

service parameter list
http://server.arcgisonline.com/arcgis/rest/services

# -*- coding: utf-8 -*-
import warnings
warnings.filterwarnings('ignore')

from mpl_toolkits.basemap import Basemap
import matplotlib.pyplot as plt

map = Basemap(llcrnrlon=70,llcrnrlat=3,urcrnrlon=140,urcrnrlat=54)
map.arcgisimage(service='NatGeo_World_Map', xpixels = 1500, ypixels=None,dpi=120, verbose= True)
plt.show()

2.2 drawing coastline

Drawcaselines parameter description

Linewidth: linewidth
linestyle: set the line style, refer to matplotlib
Color: color, refer to matplotlib
Antialiasing: antialiasing
axes axis instance
zorder: shoreline layer location

# -*- coding: utf-8 -*-
import warnings
warnings.filterwarnings('ignore')

from mpl_toolkits.basemap import Basemap
import matplotlib.pyplot as plt

map = Basemap()
# National land fill color, Lake fill color
map.fillcontinents(color='coral',lake_color='aqua')
# Draw the coastline
map.drawcoastlines(linewidth=0.5, linestyle='solid', color='k', antialiased=1, ax=None, zorder=None)
plt.show()

result

2.3 mapping the country

The drawcountries parameter is similar to the coastline and will not be repeated
drawcountries(linewidth=0.5,linestyle='solid',color='k',antialiased=1,ax=None,zorder=None)

# -*- coding: utf-8 -*-
import warnings
warnings.filterwarnings('ignore')

from mpl_toolkits.basemap import Basemap
import matplotlib.pyplot as plt

# Specify the projection method; Set the longitude and latitude in the middle of the map of China
map = Basemap(projection='ortho',
              lat_0=25, lon_0=105)
# Draw the map boundary and fill it with blue; Set line width
map.drawmapboundary(fill_color='aqua',linewidth=1.0)
# Land fill color, Lake fill color
map.fillcontinents(color='coral',lake_color='aqua')
# Draw country
map.drawcountries()

plt.show()

result

2.4 drawing relief map

# -*- coding: utf-8 -*-
import warnings
warnings.filterwarnings('ignore')

from mpl_toolkits.basemap import Basemap
import matplotlib.pyplot as plt

map = Basemap(llcrnrlon=70,llcrnrlat=3,urcrnrlon=140,urcrnrlat=54,
             resolution='i', projection='cass', lat_0 = 25, lon_0 = 105)
# Relief image
map.etopo()
# coastline
map.drawcoastlines()
# display
plt.show()

result

2.5 mapping with latitude and longitude

# -*- coding: utf-8 -*-
import warnings
warnings.filterwarnings('ignore')

from mpl_toolkits.basemap import Basemap
import matplotlib.pyplot as plt

# Specify the projection method; Set the longitude and latitude in the middle of the map of China
map = Basemap(projection='ortho',
              lat_0=25, lon_0=105,
              width=25000000, height=25000000)
# Draw the map boundary and fill it with blue; Set line width
map.drawmapboundary(fill_color='aqua',linewidth=1.0)
# Land fill color, Lake fill color
map.fillcontinents(color='coral',lake_color='aqua')
# Draw country
map.drawcountries()
# Set longitude
map.drawmeridians(range(0, 360, 20))
# Set latitude
map.drawparallels(range(-90, 100, 10), dashes=[4, 2], color='r', zorder=0 )
plt.show()

result

2.6 mapping the Americas

# -*- coding: utf-8 -*-
import warnings
warnings.filterwarnings('ignore')

from mpl_toolkits.basemap import Basemap
import matplotlib.pyplot as plt


map = Basemap(width=12000000,height=9000000,
            rsphere=(6378137.00,6356752.3142),
            resolution='l',area_thresh=1000.,projection='lcc',
            lat_1=45.,lat_2=55,lat_0=50,lon_0=-107.)
# Map boundary
map.drawmapboundary(fill_color='aqua')
# Land ocean filling
map.fillcontinents(color='#FF7F50', lake_color='#00BFFF')
# country
map.drawcountries()
# Map of America
map.drawstates(color='0.5')

plt.show()

result

2.7 River mapping

# -*- coding: utf-8 -*-
import warnings
warnings.filterwarnings('ignore')

from mpl_toolkits.basemap import Basemap
import matplotlib.pyplot as plt


map = Basemap(width=25000000, height=25000000,llcrnrlon=70,llcrnrlat=3,urcrnrlon=140,urcrnrlat=54,
             resolution='i', projection='cass', lat_0 = 25, lon_0 = 105)
# Map boundary
map.drawmapboundary(fill_color='aqua')
# Land filling
map.fillcontinents(color='coral', lake_color='aqua')
# Draw country
map.drawcountries()
# Draw River
map.drawrivers(color='#0000ff')

plt.show()

result