Difference between revisions of "File:Parallel Mesh Generation Around the world.png"

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Script to generate it :
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import cartopy.crs as ccrs
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import cartopy.feature as cfeature
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import matplotlib.pyplot as plt
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fig=plt.figure(figsize=[15,10])
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ax = plt.axes(projection=ccrs.Robinson())
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ax.add_feature(cfeature.LAND,facecolor='lightgrey')
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#ax.add_feature(cfeature.OCEAN)
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ax.add_feature(cfeature.COASTLINE)
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ax.add_feature(cfeature.BORDERS)
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# make the map global rather than have it zoom in to
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# the extents of any plotted data
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#ax.set_global()
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#ax.set_extent([-160,160,-90,90])
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#https://stackoverflow.com/a/25421922
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transform = ccrs.PlateCarree()._as_mpl_transform(ax)
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for key, value in places.items():
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    print(key)
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    lon,lat,x,y = value
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    # add marker
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    plt.plot(lon,lat, marker='D',color='red',markersize=3,transform=ccrs.Geodetic())
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    # add text
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    plt.annotate(key,xy=(lon,lat), xytext=(x,y),arrowprops=dict(arrowstyle="->",color='red'),xycoords=transform)
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# Save the plot by calling plt.savefig() BEFORE plt.show()
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#plt.savefig('map.svg')
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plt.savefig('map.png',dpi=200,bbox_inches='tight')
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plt.show()

Revision as of 18:28, 6 September 2018

Script to generate it :


import cartopy.crs as ccrs import cartopy.feature as cfeature import matplotlib.pyplot as plt fig=plt.figure(figsize=[15,10])

ax = plt.axes(projection=ccrs.Robinson()) ax.add_feature(cfeature.LAND,facecolor='lightgrey')

  1. ax.add_feature(cfeature.OCEAN)

ax.add_feature(cfeature.COASTLINE) ax.add_feature(cfeature.BORDERS)

  1. make the map global rather than have it zoom in to
  2. the extents of any plotted data
  3. ax.set_global()
  1. ax.set_extent([-160,160,-90,90])


  1. https://stackoverflow.com/a/25421922

transform = ccrs.PlateCarree()._as_mpl_transform(ax) for key, value in places.items(): 

   print(key)
   lon,lat,x,y = value
   # add marker
   plt.plot(lon,lat, marker='D',color='red',markersize=3,transform=ccrs.Geodetic())
   # add text
   plt.annotate(key,xy=(lon,lat), xytext=(x,y),arrowprops=dict(arrowstyle="->",color='red'),xycoords=transform)
  1. Save the plot by calling plt.savefig() BEFORE plt.show()
  2. plt.savefig('map.svg')

plt.savefig('map.png',dpi=200,bbox_inches='tight')

plt.show()

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Date/TimeThumbnailDimensionsUserComment
current21:41, 10 September 2018Thumbnail for version as of 21:41, 10 September 20182,372 × 1,226 (542 KB)Ctsolakis (talk | contribs)
18:21, 6 September 2018Thumbnail for version as of 18:21, 6 September 20181,794 × 1,557 (319 KB)Ctsolakis (talk | contribs)
18:06, 6 September 2018Thumbnail for version as of 18:06, 6 September 20181,794 × 1,581 (323 KB)Ctsolakis (talk | contribs)
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