it looks mostly as i expect, but i'm getting those weird artifacts out in the oceans
the data being plotted is light pollution, so really nothing at all should be showing up in the oceans
For debugging/logging, you can save the output to a variable and then call some methods on it:
Alternatives if your data is gridded:
If your problem is with the interpolation, then the Scipy docs will help you out there, some of their methods require sorted data, some extrapolate data, etc... So you have to make sure you're choosing the proper method.
coll = plt.contourf(), or use your favorite debugger.Alternatives if your data is gridded:
pcolormeshIf your problem is with the interpolation, then the Scipy docs will help you out there, some of their methods require sorted data, some extrapolate data, etc... So you have to make sure you're choosing the proper method.
https://scitools.org.uk/cartopy/docs/latest/gallery/contour_labels.html I am looking to extend this example for my needs
https://imgur.com/a/GuwhQMy I have this plot. I want to be able a single contour line such as the 1.5 contour line or 2 contour line
sorry i want to be able to label a single contour line.
https://ibb.co/QpwMtY6 i want to be able to do what is in that plot - show a black line associated with a particular value of the contour
line_c = ax1.contour(lons, lats, ipvPlot, levels=[2],
colors=['blue'],
transform=ccrs.PlateCarree())
that's the line of code I added
Hey everyone, i started a project adding some feature data to a geotiff i had, but now i'm stuck trying to adjust the padding in negative direction for gridline lat/lon annotation text. I need to adjust them over the image so i can minimize the figure size. I as well need to wrap the text in a white box. I have tried most of the hacks to adjust the position without actually modifying the cartopy code. Can anyone help me out?
I think this is similar to this request: SciTools/cartopy#1642
My guess is you'll have to add the padding, set
My guess is you'll have to add the padding, set
rotate_labels to False and iterate through all the artists and set_visible(True).
Thanks a lot, I'll try out the solution. Another question, I did some digging in Basemap and noticed that it had scalebar (drawmapscale). I cant find a similar solution to add a (white,black,white. black etc) bar i Cartopy. Is this something that will be implemented, or do i need to implement my own solution?
Does anyone have a solution for our problem described at SciTools/cartopy#1642 ? I desperately need this functionality and is absolutely necessary to solve my problem.
When I just try to make a quiver plot I get something like this - https://imgur.com/a/224Vu7q
I can barely see the wind direction.
https://scitools.org.uk/cartopy/docs/v0.15/examples/regridding_arrows.html is this the example I need to look at to fix it ?
#1575 got merged, so we are making some progress there. Are you still having problems with the latest minimal version? I know I struggled with the MPL 2.x installation from conda-forge with the testing label. So make sure you're grabbing from that channel
@greg Following the travis config, I install minimal dependencies with
conda install -q -y -c conda-forge/label/testing -c conda-forge --override-channels cython=0.28.5 flufl.lock matplotlib=2.2.2 numpy=1.16 owslib=0.17 pep8 pillow proj4=5.2.0 pyepsg pyshp pytest pytest-xdist python=3.6 requests scipy=1.2.0 setuptools_scm setuptools_scm_git_archive shapely and it always ends with conflicts : Found conflicts! Looking for incompatible packages. …
ax1.quiver(lons[::3],lats[::3],uipvPlot,vipvPlot,transform=ccrs.PlateCarree())
File "/usr/local/lib/python3.8/dist-packages/Cartopy-0.18.0-py3.8-linux-x86_64.egg/cartopy/mpl/geoaxes.py", line 310, in wrapper
return func(self, *args, **kwargs)
File "/usr/local/lib/python3.8/dist-packages/Cartopy-0.18.0-py3.8-linux-x86_64.egg/cartopy/mpl/geoaxes.py", line 1841, in quiver
u, v = self.projection.transform_vectors(t, x, y, u, v)
File "lib/cartopy/_crs.pyx", line 568, in cartopy._crs.CRS.transform_vectors
UserWarning: Some vectors at source domain corners may not have been transformed correctly
I hear you on that one, it always seems to be something new on various CI systems. You're in a particularly tricky part of the code base because of all the small changes to text/line alignment too. I can't see anything obvious in the Appveyor for why those images would be failing on Windows and not on Linux though. The MPL being used is from the testing labels.
It does look like there are some warnings with pyshp out there and it is getting the most recent pyshp version which had some changes to how they read in the objects. You may want to try adding Fiona to the appveyor installation and see if it is bad shapefiles causing the errors.
ax1.quiver(lons[::3],lats[::3],uipvPlot,vipvPlot,transform=ccrs.PlateCarree()) File "/usr/local/lib/python3.8/dist-packages/Cartopy-0.18.0-py3.8-linux-x86_64.egg/cartopy/mpl/geoaxes.py", line 310, in wrapper return func(self, *args, **kwargs) File "/usr/local/lib/python3.8/dist-packages/Cartopy-0.18.0-py3.8-linux-x86_64.egg/cartopy/mpl/geoaxes.py", line 1841, in quiver u, v = self.projection.transform_vectors(t, x, y, u, v) File "lib/cartopy/_crs.pyx", line 568, in cartopy._crs.CRS.transform_vectors UserWarning: Some vectors at source domain corners may not have been transformed correctly
I forgot to mention that this warning does not generate a plot. The program just exits
The gridliner is revised in #PR1537 to fix a few issues. Figure samples are available here: https://drive.google.com/drive/folders/15Sz5buIrjPcEz1FwniLgBDYn6GCXvNV7
If ok, I will update baseline images and add a few ones.
Which version are you using? It changed to
gl.top_labels = False in 0.18 I believe. https://scitools.org.uk/cartopy/docs/latest/matplotlib/gridliner.html
@Hakkeh4x0r , there is not currently any definitive plan for the next release.