Basemap npstere projection returns blank map without data
I am trying to make a plot of sea ice concentration over the North Pole using a Polar Stereographic Projection with Basemap. The map returned has all the formatting done to the projection but doesn't have any data. I'm able to make a plot with a cylindrical projection using the same data, but when I change the projection over to 'npstere' it is blank. I've tried different datasets but the map is blank no matter what dataset I use.
Here is the map produced (screenshot, the saved plot is just blank)
Blank_map
Here is my code,
I am using Python3.5, Matplotlib 2.2.2, and Basemap 1.0.7
# load packages
%matplotlib inline
import xarray as xr
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap
# load data
icedata = xr.open_dataset('IceData/G10010_SIBT1850_v1.1_JF.nc', decode_times=False)
seaice_1850 = icedata.seaice_conc_JF[0]
# make map projection
map_fig = Basemap(projection='npstere', boundinglat=50 ,lon_0=0)
# get lat/lon formatted
lon_1d = icedata.longitude.values
lat_1d = icedata.latitude.values
lon_2d, lat_2d = np.meshgrid(lon_1d, lat_1d)
# plot data over map
map_fig.pcolormesh(lon_2d, lat_2d, seaice_1850, cmap='jet')
# make it pretty
map_fig.drawcoastlines()
map_fig.drawparallels(np.arange(-80.,81.,10.))
map_fig.drawmeridians(np.arange(-180.,181.,20.))
plt.colorbar()
plt.show()
python-3.x matplotlib plot matplotlib-basemap
asked Nov 12 '18 at 20:11
Sarah ThunbergSarah Thunberg
161
add a comment |
I am trying to make a plot of sea ice concentration over the North Pole using a Polar Stereographic Projection with Basemap. The map returned has all the formatting done to the projection but doesn't have any data. I'm able to make a plot with a cylindrical projection using the same data, but when I change the projection over to 'npstere' it is blank. I've tried different datasets but the map is blank no matter what dataset I use.
Here is the map produced (screenshot, the saved plot is just blank)
Blank_map
Here is my code,
I am using Python3.5, Matplotlib 2.2.2, and Basemap 1.0.7
# load packages
%matplotlib inline
import xarray as xr
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap
# load data
icedata = xr.open_dataset('IceData/G10010_SIBT1850_v1.1_JF.nc', decode_times=False)
seaice_1850 = icedata.seaice_conc_JF[0]
# make map projection
map_fig = Basemap(projection='npstere', boundinglat=50 ,lon_0=0)
# get lat/lon formatted
lon_1d = icedata.longitude.values
lat_1d = icedata.latitude.values
lon_2d, lat_2d = np.meshgrid(lon_1d, lat_1d)
# plot data over map
map_fig.pcolormesh(lon_2d, lat_2d, seaice_1850, cmap='jet')
# make it pretty
map_fig.drawcoastlines()
map_fig.drawparallels(np.arange(-80.,81.,10.))
map_fig.drawmeridians(np.arange(-180.,181.,20.))
plt.colorbar()
plt.show()
python-3.x matplotlib plot matplotlib-basemap
asked Nov 12 '18 at 20:11
Sarah ThunbergSarah Thunberg
161
Does setting the latlon keyword to True in the pcolormesh (matplotlib.org/basemap/api/basemap_api.html) call change anything ? If no, would you mind providing your data file ?
– Patol75
Nov 13 '18 at 6:35
Thank you! That worked, I had a feeling it was something wrong with the coordinates but I'm not experienced enough to know what was wrong.
– Sarah Thunberg
Nov 13 '18 at 19:38
add a comment |
I am trying to make a plot of sea ice concentration over the North Pole using a Polar Stereographic Projection with Basemap. The map returned has all the formatting done to the projection but doesn't have any data. I'm able to make a plot with a cylindrical projection using the same data, but when I change the projection over to 'npstere' it is blank. I've tried different datasets but the map is blank no matter what dataset I use.
Here is the map produced (screenshot, the saved plot is just blank)
Blank_map
Here is my code,
I am using Python3.5, Matplotlib 2.2.2, and Basemap 1.0.7
# load packages
%matplotlib inline
import xarray as xr
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap
# load data
icedata = xr.open_dataset('IceData/G10010_SIBT1850_v1.1_JF.nc', decode_times=False)
seaice_1850 = icedata.seaice_conc_JF[0]
# make map projection
map_fig = Basemap(projection='npstere', boundinglat=50 ,lon_0=0)
# get lat/lon formatted
lon_1d = icedata.longitude.values
lat_1d = icedata.latitude.values
lon_2d, lat_2d = np.meshgrid(lon_1d, lat_1d)
# plot data over map
map_fig.pcolormesh(lon_2d, lat_2d, seaice_1850, cmap='jet')
# make it pretty
map_fig.drawcoastlines()
map_fig.drawparallels(np.arange(-80.,81.,10.))
map_fig.drawmeridians(np.arange(-180.,181.,20.))
plt.colorbar()
plt.show()
python-3.x matplotlib plot matplotlib-basemap
asked Nov 12 '18 at 20:11
Sarah ThunbergSarah Thunberg
161
I am trying to make a plot of sea ice concentration over the North Pole using a Polar Stereographic Projection with Basemap. The map returned has all the formatting done to the projection but doesn't have any data. I'm able to make a plot with a cylindrical projection using the same data, but when I change the projection over to 'npstere' it is blank. I've tried different datasets but the map is blank no matter what dataset I use.
Here is the map produced (screenshot, the saved plot is just blank)
Blank_map
Here is my code,
I am using Python3.5, Matplotlib 2.2.2, and Basemap 1.0.7
# load packages
%matplotlib inline
import xarray as xr
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap
# load data
icedata = xr.open_dataset('IceData/G10010_SIBT1850_v1.1_JF.nc', decode_times=False)
seaice_1850 = icedata.seaice_conc_JF[0]
# make map projection
map_fig = Basemap(projection='npstere', boundinglat=50 ,lon_0=0)
# get lat/lon formatted
lon_1d = icedata.longitude.values
lat_1d = icedata.latitude.values
lon_2d, lat_2d = np.meshgrid(lon_1d, lat_1d)
# plot data over map
map_fig.pcolormesh(lon_2d, lat_2d, seaice_1850, cmap='jet')
# make it pretty
map_fig.drawcoastlines()
map_fig.drawparallels(np.arange(-80.,81.,10.))
map_fig.drawmeridians(np.arange(-180.,181.,20.))
plt.colorbar()
plt.show()
python-3.x matplotlib plot matplotlib-basemap
python-3.x matplotlib plot matplotlib-basemap
asked Nov 12 '18 at 20:11
Sarah ThunbergSarah Thunberg
161
asked Nov 12 '18 at 20:11
Sarah ThunbergSarah Thunberg
161
asked Nov 12 '18 at 20:11
Sarah ThunbergSarah Thunberg
161
asked Nov 12 '18 at 20:11
Sarah ThunbergSarah Thunberg
161
asked Nov 12 '18 at 20:11
Sarah ThunbergSarah Thunberg
161
161
Does setting the latlon keyword to True in the pcolormesh (matplotlib.org/basemap/api/basemap_api.html) call change anything ? If no, would you mind providing your data file ?
– Patol75
Nov 13 '18 at 6:35
Thank you! That worked, I had a feeling it was something wrong with the coordinates but I'm not experienced enough to know what was wrong.
– Sarah Thunberg
Nov 13 '18 at 19:38
add a comment |
Does setting the latlon keyword to True in the pcolormesh (matplotlib.org/basemap/api/basemap_api.html) call change anything ? If no, would you mind providing your data file ?
– Patol75
Nov 13 '18 at 6:35
Thank you! That worked, I had a feeling it was something wrong with the coordinates but I'm not experienced enough to know what was wrong.
– Sarah Thunberg
Nov 13 '18 at 19:38
Does setting the latlon keyword to True in the pcolormesh (matplotlib.org/basemap/api/basemap_api.html) call change anything ? If no, would you mind providing your data file ?
– Patol75
Nov 13 '18 at 6:35
Does setting the latlon keyword to True in the pcolormesh (matplotlib.org/basemap/api/basemap_api.html) call change anything ? If no, would you mind providing your data file ?
– Patol75
Nov 13 '18 at 6:35
Thank you! That worked, I had a feeling it was something wrong with the coordinates but I'm not experienced enough to know what was wrong.
– Sarah Thunberg
Nov 13 '18 at 19:38
Thank you! That worked, I had a feeling it was something wrong with the coordinates but I'm not experienced enough to know what was wrong.
– Sarah Thunberg
Nov 13 '18 at 19:38
add a comment |
1 Answer
1
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oldest
votes
Setting the latlon keyword to True in the pcolormesh (matplotlib.org/basemap/api/basemap_api.html) call does the trick.
answered Nov 14 '18 at 1:30
Patol75Patol75
6236
add a comment |
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Setting the latlon keyword to True in the pcolormesh (matplotlib.org/basemap/api/basemap_api.html) call does the trick.
answered Nov 14 '18 at 1:30
Patol75Patol75
6236
add a comment |
Setting the latlon keyword to True in the pcolormesh (matplotlib.org/basemap/api/basemap_api.html) call does the trick.
answered Nov 14 '18 at 1:30
Patol75Patol75
6236
add a comment |
Setting the latlon keyword to True in the pcolormesh (matplotlib.org/basemap/api/basemap_api.html) call does the trick.
answered Nov 14 '18 at 1:30
Patol75Patol75
6236
Setting the latlon keyword to True in the pcolormesh (matplotlib.org/basemap/api/basemap_api.html) call does the trick.
answered Nov 14 '18 at 1:30
Patol75Patol75
6236
answered Nov 14 '18 at 1:30
Patol75Patol75
6236
answered Nov 14 '18 at 1:30
Patol75Patol75
6236
answered Nov 14 '18 at 1:30
Patol75Patol75
6236
6236
add a comment |
add a comment |
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Does setting the latlon keyword to True in the pcolormesh (matplotlib.org/basemap/api/basemap_api.html) call change anything ? If no, would you mind providing your data file ?
– Patol75
Nov 13 '18 at 6:35
Thank you! That worked, I had a feeling it was something wrong with the coordinates but I'm not experienced enough to know what was wrong.
– Sarah Thunberg
Nov 13 '18 at 19:38