reading the Cartopy documentation I found the solution. (https://scitools.org.uk/cartopy/docs/latest/gallery/gridlines_and_labels/tick_labels.html?highlight=set_xticks)
Thank you very much @stefraynaud, I would like, although it seems that with the use of the code of (https://scitools.org.uk/cartopy/docs/latest/gallery/gridlines_and_labels/tick_labels.html?highlight=set_xticks), the plot of SST values are more accurate. Could you help me understand?
Hello! I want to use cartopy but it keeps asking for Proj 4.9.0. I installed it using the indications on https://proj.org/install.html, it is on my harddisk but it isnt connected to my python apparently
I use windows
@stefraynaud, Better to draw with ax.gridlines (draw_labels = True)
When I use this code, I am introducing a tracing error. Because this code is for the Mercator projection. I hope to help fix this issue.
"# Label axes of a Mercator projection without degree symbols in the labels
and formatting labels to include 1 decimal place: "
@rcsmit, Is PROJ in your library path on Windows? It may be due to virtual environments not having access to where you installed PROJ... There are some Windows binaries available here: https://www.lfd.uci.edu/~gohlke/pythonlibs/#cartopy or conda-forge is another good place to look for easier installation as well.
This might point you in the right direction: https://scitools.org.uk/cartopy/docs/latest/gallery/lines_and_polygons/hurricane_katrina.html#sphx-glr-gallery-lines-and-polygons-hurricane-katrina-py
You can usually search for X shapefile and find something that'd work for that, e.g., plate tectonic shapefiles like https://github.com/fraxen/tectonicplates
Hi! Is this project open to adding more/unconventional projections? I'd be interested in adding support for the Dymaxion projection (e.g. https://github.com/Teque5/pydymax) if that's something that'd be interesting for the maintainers. If not then I can just hack together what I'm looking for
Hi all, in case anbody here has experience with cProfile, would you mind having a look at a Matplotlib Discourse issue of mine? It's part of an MSc thesis project. Much appreciated: https://discourse.matplotlib.org/t/cprofiling-cartopys-vs-geopandass-interface-with-matplotlib-puzzling-results/22255
Thanks, @greglucas. That did help a bit! For both options, the cartopy average goes up to around 13.5 seconds (vs GeoPandas' 59 seconds) - still the general behaviour persists though that the cProfiles are dumped to file (one after the other since I'm running the function through a for loop n-times) before each of the figures is rendered n-times afterwards. Hmm....
You need to make a blocking call in your loop then I think.
fig.savefig('/tmp/data.png') I think blocks until the buffer is fully written to disk. To compare all of these cases you'll really need to read up a lot more about profiling all of these various libraries because all of them do different things under the hood that may be beneficial in certain ways, like blitting or re-using the same canvas. If you're writing to disk or just showing an in-memory representation.
*than
Testing with the upcoming MPL v3.5 is going to break quite a few people using coastlines due to the ordering of patches being different. We discussed this at length yesterday on the MPL side and think it is best to try and push a release for Cartopy with a fix for this out before the MPL release. That means in the next ~2-3 weeks we should be cutting a v0.20 release.
I think that some of the failures are pretty minor tolerance increases that have just pushed them over the edge of tolerance. i.e., the clipping/boundary was already wrong in the previous MPL version and we just bumped the tolerance. For instance, I think the "bleeding" of pcolor over into the spine and anti-aliasing with the colors was present before as well? I'm pretty sure these boil down to some MPL issues you've opened up previously: matplotlib/matplotlib#15952 and matplotlib/matplotlib#15946
Around now or so
hi! wondering if I could ask a pretty low level question. When plotting, I can't seem to get coastlines to be visible and ax.coastlines() doesn't appear to be doing anything. When running the following code, I just get a blank white figure. would appreciate any help!
ax=plt.axes(projection=ccrs.PlateCarree())
ax.coastlines()
plt.show()
ax=plt.axes(projection=ccrs.PlateCarree())
ax.coastlines()
plt.show()
Hey everyone, this might be more of a matpolitlib question, but I figured someone here might have a quick answer. I know how to set clipping on matplotlib artists that are outside of the map boundary, which works well in most instances. However, when an artist intersects the map boundary (such as text) the part of the text inside the map is kept and the rest is cut off. I'm wondering if there's any easy way to remove all artists that fall entirely outside AND artists that intersect the map boundary
So any text objects that would be partially cut off would be removed entirely
The gridliner handles some of that to turn off the visibility on some ticks based upon that criteria. There could be some useful code in there to build from: https://github.com/SciTools/cartopy/blob/019f0130ec9320cad8ac2532697afb51db0f97a9/lib/cartopy/mpl/gridliner.py#L1276-L1280
4 replies
Hello!
When I plot a high resolution satellite image (tiff format) in imshow and save as jpeg with very high dpi (1000) the quality of the image is retained.
But when I plot the same image with cartopy the image is resampled (I assume onto the resolution of the lat-lon grid) and I loose alot of image quality.
Please could some one advice me how to plot a high resolution sat. image in cartopy retaining the original image quality?
Thank you very much!
There is a
regrid_shape argument that is likely what you want to look into: https://scitools.org.uk/cartopy/docs/latest/reference/generated/cartopy.mpl.geoaxes.GeoAxes.html#cartopy.mpl.geoaxes.GeoAxes.imshow
4 replies