Problem with plotting map using matplotlib.basemap











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This is my Python code. It worked once but after I changed something, and I don't remember what I changed, it now returns this error:




raise RuntimeError("Can not put single artist in " RuntimeError: Can
not put single artist in more than one figure




Any help about this issue



from mpl_toolkits.basemap import Basemap
import numpy as np
import matplotlib.pyplot as plt
import matplotlib as mpl
import numpy.ma as ma
import netCDF4
import os
import datetime

mydate='20181110' #(put today date)
myhour = '00' # in UTC timezone
url='http://nomads.ncep.noaa.gov:9090/dods/hrrr/hrrr%s/hrrr_sfc.t%sz' %(mydate,myhour)

print url

# make sure folder exists
folder_path = 'pcptype/%s/%sz' %(mydate,myhour)
if not os.path.exists(folder_path):
os.makedirs(folder_path)

# Read data
t = 10

file = netCDF4.Dataset(url)
lat = file.variables['lat'][:]
lon = file.variables['lon'][:]
time = file.variables['time'][:]
rad_ref = file.variables['refcclm'][t,:,:]

#### plotting data
m=Basemap(projection='merc',lat_ts=0,llcrnrlon=-81.0,
urcrnrlon=-66,llcrnrlat=41.0,urcrnrlat=49.0, resolution='i')

bounds_rain = [0,5,10,15,20,25,30,35,40,100]
bounds_ref = [10,25,30,35,40,100] cmap=mpl.colors.ListedColormap(['#99CCFF','#0099FF','#00FF66','#00CC00','#009900','#006600','#FFFF33','#FFCC00','#FF9900','#FF6600','#FF0000','#FF0299','#9933CC','#660099'])
xx,yy = np.meshgrid(lon,lat)
x,y =m(xx,yy)
m.drawstates()
m.drawcoastlines()
m.drawcountries()
m.drawmapboundary()
norm_ref = mpl.colors.BoundaryNorm(bounds_ref, cmap.N)
first_date = datetime.datetime(1,1,1,0,0,0)
init_datetime = first_date+ datetime.timedelta(time[0])
#for t in range(1, len(time)):

print 'processing time %i ' %t

fct_datetime = first_date + datetime.timedelta(time[t])
fig_name = 'pcp_type_%s' %(fct_datetime.strftime("%Y%m%d_%H00"))
print fig_name
fig=plt.figure(figsize=(10, 10))
map1=m.contourf(x, y, rad_ref,len(bounds_ref),norm=norm_ref,cmap=cmap,levels=bounds_rain)

plt.title("RADAR | Init : %s Valid: %s"
%(init_datetime.strftime("%HZ %Y-%m-%d"),fct_datetime.strftime("%HZ %Y-%m-%d")),loc='left')
plt.savefig("%s/%s.png" %(folder_path,fig_name), dpi=200,bbox_inches='tight' )









share|improve this question




























    up vote
    0
    down vote

    favorite












    This is my Python code. It worked once but after I changed something, and I don't remember what I changed, it now returns this error:




    raise RuntimeError("Can not put single artist in " RuntimeError: Can
    not put single artist in more than one figure




    Any help about this issue



    from mpl_toolkits.basemap import Basemap
    import numpy as np
    import matplotlib.pyplot as plt
    import matplotlib as mpl
    import numpy.ma as ma
    import netCDF4
    import os
    import datetime

    mydate='20181110' #(put today date)
    myhour = '00' # in UTC timezone
    url='http://nomads.ncep.noaa.gov:9090/dods/hrrr/hrrr%s/hrrr_sfc.t%sz' %(mydate,myhour)

    print url

    # make sure folder exists
    folder_path = 'pcptype/%s/%sz' %(mydate,myhour)
    if not os.path.exists(folder_path):
    os.makedirs(folder_path)

    # Read data
    t = 10

    file = netCDF4.Dataset(url)
    lat = file.variables['lat'][:]
    lon = file.variables['lon'][:]
    time = file.variables['time'][:]
    rad_ref = file.variables['refcclm'][t,:,:]

    #### plotting data
    m=Basemap(projection='merc',lat_ts=0,llcrnrlon=-81.0,
    urcrnrlon=-66,llcrnrlat=41.0,urcrnrlat=49.0, resolution='i')

    bounds_rain = [0,5,10,15,20,25,30,35,40,100]
    bounds_ref = [10,25,30,35,40,100] cmap=mpl.colors.ListedColormap(['#99CCFF','#0099FF','#00FF66','#00CC00','#009900','#006600','#FFFF33','#FFCC00','#FF9900','#FF6600','#FF0000','#FF0299','#9933CC','#660099'])
    xx,yy = np.meshgrid(lon,lat)
    x,y =m(xx,yy)
    m.drawstates()
    m.drawcoastlines()
    m.drawcountries()
    m.drawmapboundary()
    norm_ref = mpl.colors.BoundaryNorm(bounds_ref, cmap.N)
    first_date = datetime.datetime(1,1,1,0,0,0)
    init_datetime = first_date+ datetime.timedelta(time[0])
    #for t in range(1, len(time)):

    print 'processing time %i ' %t

    fct_datetime = first_date + datetime.timedelta(time[t])
    fig_name = 'pcp_type_%s' %(fct_datetime.strftime("%Y%m%d_%H00"))
    print fig_name
    fig=plt.figure(figsize=(10, 10))
    map1=m.contourf(x, y, rad_ref,len(bounds_ref),norm=norm_ref,cmap=cmap,levels=bounds_rain)

    plt.title("RADAR | Init : %s Valid: %s"
    %(init_datetime.strftime("%HZ %Y-%m-%d"),fct_datetime.strftime("%HZ %Y-%m-%d")),loc='left')
    plt.savefig("%s/%s.png" %(folder_path,fig_name), dpi=200,bbox_inches='tight' )









    share|improve this question


























      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      This is my Python code. It worked once but after I changed something, and I don't remember what I changed, it now returns this error:




      raise RuntimeError("Can not put single artist in " RuntimeError: Can
      not put single artist in more than one figure




      Any help about this issue



      from mpl_toolkits.basemap import Basemap
      import numpy as np
      import matplotlib.pyplot as plt
      import matplotlib as mpl
      import numpy.ma as ma
      import netCDF4
      import os
      import datetime

      mydate='20181110' #(put today date)
      myhour = '00' # in UTC timezone
      url='http://nomads.ncep.noaa.gov:9090/dods/hrrr/hrrr%s/hrrr_sfc.t%sz' %(mydate,myhour)

      print url

      # make sure folder exists
      folder_path = 'pcptype/%s/%sz' %(mydate,myhour)
      if not os.path.exists(folder_path):
      os.makedirs(folder_path)

      # Read data
      t = 10

      file = netCDF4.Dataset(url)
      lat = file.variables['lat'][:]
      lon = file.variables['lon'][:]
      time = file.variables['time'][:]
      rad_ref = file.variables['refcclm'][t,:,:]

      #### plotting data
      m=Basemap(projection='merc',lat_ts=0,llcrnrlon=-81.0,
      urcrnrlon=-66,llcrnrlat=41.0,urcrnrlat=49.0, resolution='i')

      bounds_rain = [0,5,10,15,20,25,30,35,40,100]
      bounds_ref = [10,25,30,35,40,100] cmap=mpl.colors.ListedColormap(['#99CCFF','#0099FF','#00FF66','#00CC00','#009900','#006600','#FFFF33','#FFCC00','#FF9900','#FF6600','#FF0000','#FF0299','#9933CC','#660099'])
      xx,yy = np.meshgrid(lon,lat)
      x,y =m(xx,yy)
      m.drawstates()
      m.drawcoastlines()
      m.drawcountries()
      m.drawmapboundary()
      norm_ref = mpl.colors.BoundaryNorm(bounds_ref, cmap.N)
      first_date = datetime.datetime(1,1,1,0,0,0)
      init_datetime = first_date+ datetime.timedelta(time[0])
      #for t in range(1, len(time)):

      print 'processing time %i ' %t

      fct_datetime = first_date + datetime.timedelta(time[t])
      fig_name = 'pcp_type_%s' %(fct_datetime.strftime("%Y%m%d_%H00"))
      print fig_name
      fig=plt.figure(figsize=(10, 10))
      map1=m.contourf(x, y, rad_ref,len(bounds_ref),norm=norm_ref,cmap=cmap,levels=bounds_rain)

      plt.title("RADAR | Init : %s Valid: %s"
      %(init_datetime.strftime("%HZ %Y-%m-%d"),fct_datetime.strftime("%HZ %Y-%m-%d")),loc='left')
      plt.savefig("%s/%s.png" %(folder_path,fig_name), dpi=200,bbox_inches='tight' )









      share|improve this question















      This is my Python code. It worked once but after I changed something, and I don't remember what I changed, it now returns this error:




      raise RuntimeError("Can not put single artist in " RuntimeError: Can
      not put single artist in more than one figure




      Any help about this issue



      from mpl_toolkits.basemap import Basemap
      import numpy as np
      import matplotlib.pyplot as plt
      import matplotlib as mpl
      import numpy.ma as ma
      import netCDF4
      import os
      import datetime

      mydate='20181110' #(put today date)
      myhour = '00' # in UTC timezone
      url='http://nomads.ncep.noaa.gov:9090/dods/hrrr/hrrr%s/hrrr_sfc.t%sz' %(mydate,myhour)

      print url

      # make sure folder exists
      folder_path = 'pcptype/%s/%sz' %(mydate,myhour)
      if not os.path.exists(folder_path):
      os.makedirs(folder_path)

      # Read data
      t = 10

      file = netCDF4.Dataset(url)
      lat = file.variables['lat'][:]
      lon = file.variables['lon'][:]
      time = file.variables['time'][:]
      rad_ref = file.variables['refcclm'][t,:,:]

      #### plotting data
      m=Basemap(projection='merc',lat_ts=0,llcrnrlon=-81.0,
      urcrnrlon=-66,llcrnrlat=41.0,urcrnrlat=49.0, resolution='i')

      bounds_rain = [0,5,10,15,20,25,30,35,40,100]
      bounds_ref = [10,25,30,35,40,100] cmap=mpl.colors.ListedColormap(['#99CCFF','#0099FF','#00FF66','#00CC00','#009900','#006600','#FFFF33','#FFCC00','#FF9900','#FF6600','#FF0000','#FF0299','#9933CC','#660099'])
      xx,yy = np.meshgrid(lon,lat)
      x,y =m(xx,yy)
      m.drawstates()
      m.drawcoastlines()
      m.drawcountries()
      m.drawmapboundary()
      norm_ref = mpl.colors.BoundaryNorm(bounds_ref, cmap.N)
      first_date = datetime.datetime(1,1,1,0,0,0)
      init_datetime = first_date+ datetime.timedelta(time[0])
      #for t in range(1, len(time)):

      print 'processing time %i ' %t

      fct_datetime = first_date + datetime.timedelta(time[t])
      fig_name = 'pcp_type_%s' %(fct_datetime.strftime("%Y%m%d_%H00"))
      print fig_name
      fig=plt.figure(figsize=(10, 10))
      map1=m.contourf(x, y, rad_ref,len(bounds_ref),norm=norm_ref,cmap=cmap,levels=bounds_rain)

      plt.title("RADAR | Init : %s Valid: %s"
      %(init_datetime.strftime("%HZ %Y-%m-%d"),fct_datetime.strftime("%HZ %Y-%m-%d")),loc='left')
      plt.savefig("%s/%s.png" %(folder_path,fig_name), dpi=200,bbox_inches='tight' )






      python matplotlib-basemap






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      share|improve this question




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      edited Nov 10 at 8:38









      Greenonline

      96521424




      96521424










      asked Nov 10 at 4:24









      Sami

      132




      132
























          1 Answer
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          oldest

          votes

















          up vote
          0
          down vote



          accepted










          The sequence of plots must be done correctly. Filled-contour is raster type, must be plotted first. Then, all the vector data can be plotted on top. Here is the snippet code that shows the plot sequence:



          # ... 
          # Raster data must be plotted first
          map1 = m.contourf(x, y, rad_ref, len(bounds_ref), norm=norm_ref, cmap=cmap,
          levels=bounds_rain)

          # then, these line/vector data are plotted
          m.drawstates()
          m.drawcoastlines()
          m.drawcountries()
          m.drawmapboundary()

          # additionally, plot useful colorbar
          plt.colorbar(shrink=0.55) # draw colorbar
          # ...


          Resulting plot:



          enter image description here






          share|improve this answer





















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            1 Answer
            1






            active

            oldest

            votes








            1 Answer
            1






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

            votes








            up vote
            0
            down vote



            accepted










            The sequence of plots must be done correctly. Filled-contour is raster type, must be plotted first. Then, all the vector data can be plotted on top. Here is the snippet code that shows the plot sequence:



            # ... 
            # Raster data must be plotted first
            map1 = m.contourf(x, y, rad_ref, len(bounds_ref), norm=norm_ref, cmap=cmap,
            levels=bounds_rain)

            # then, these line/vector data are plotted
            m.drawstates()
            m.drawcoastlines()
            m.drawcountries()
            m.drawmapboundary()

            # additionally, plot useful colorbar
            plt.colorbar(shrink=0.55) # draw colorbar
            # ...


            Resulting plot:



            enter image description here






            share|improve this answer

























              up vote
              0
              down vote



              accepted










              The sequence of plots must be done correctly. Filled-contour is raster type, must be plotted first. Then, all the vector data can be plotted on top. Here is the snippet code that shows the plot sequence:



              # ... 
              # Raster data must be plotted first
              map1 = m.contourf(x, y, rad_ref, len(bounds_ref), norm=norm_ref, cmap=cmap,
              levels=bounds_rain)

              # then, these line/vector data are plotted
              m.drawstates()
              m.drawcoastlines()
              m.drawcountries()
              m.drawmapboundary()

              # additionally, plot useful colorbar
              plt.colorbar(shrink=0.55) # draw colorbar
              # ...


              Resulting plot:



              enter image description here






              share|improve this answer























                up vote
                0
                down vote



                accepted







                up vote
                0
                down vote



                accepted






                The sequence of plots must be done correctly. Filled-contour is raster type, must be plotted first. Then, all the vector data can be plotted on top. Here is the snippet code that shows the plot sequence:



                # ... 
                # Raster data must be plotted first
                map1 = m.contourf(x, y, rad_ref, len(bounds_ref), norm=norm_ref, cmap=cmap,
                levels=bounds_rain)

                # then, these line/vector data are plotted
                m.drawstates()
                m.drawcoastlines()
                m.drawcountries()
                m.drawmapboundary()

                # additionally, plot useful colorbar
                plt.colorbar(shrink=0.55) # draw colorbar
                # ...


                Resulting plot:



                enter image description here






                share|improve this answer












                The sequence of plots must be done correctly. Filled-contour is raster type, must be plotted first. Then, all the vector data can be plotted on top. Here is the snippet code that shows the plot sequence:



                # ... 
                # Raster data must be plotted first
                map1 = m.contourf(x, y, rad_ref, len(bounds_ref), norm=norm_ref, cmap=cmap,
                levels=bounds_rain)

                # then, these line/vector data are plotted
                m.drawstates()
                m.drawcoastlines()
                m.drawcountries()
                m.drawmapboundary()

                # additionally, plot useful colorbar
                plt.colorbar(shrink=0.55) # draw colorbar
                # ...


                Resulting plot:



                enter image description here







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Nov 11 at 5:05









                swatchai

                2,51121423




                2,51121423






























                     

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