Ah, OK, thanks for the link.
I'm used to simply inputing
I'm used to simply inputing
pytest path/to/test and that was not working well because it was trying to make local imports and obviously all generated files where missing
Hm... Sorry about that! I think I must have done a
git tag list instead of git tag -l to see what the tags were and then pushed up two tags. Luckily it doesn't look like that one did anything though? I don't see it on GH now (I assume you deleted it?) and I deleted my local tag name. Thanks for pointing that out.
hey! I'm currently moving from using basemap to cartopy and have a quick question about setting the resolution of great circle plot. I have two points that I'm plotting on a PlateCarree projection, and then plotting the great circle by using the
transform=ccrs.Geodetic() keyword.
I'm wondering how I can increase the resolution of this blue line? Can someone help, or point me to the right direction within the source code or docs?
Looks like others have had the same request recently :) There is a workaround in this issue
SciTools/cartopy#8
I think the only way to do this currently is to modify the private threshold attribute before creating your axes.
SciTools/cartopy#8
I think the only way to do this currently is to modify the private threshold attribute before creating your axes.
pc = ccrs.PlateCarree()
pc._threshold = 0.1
ax = plt.axes(projection=pc)
Hello! I currently make use of Basemap in my data reduction pipeline for images of Jupiter. A commonly-used coordinate system for Jupiter (and other planets) is left-handed, i.e. increases westward. Basemap has the celestial keyword, which enables this in its projections. I'd like to move to Cartopy, but I can't see how to enable this in Cartopy. Could anyone advise how to do this, or if there is a plan to add this as a feature? Thanks in advance.
Are there release notes for v0.19? Just curious if there is anything I need to know!
@mark-wieczorek:matrix.org, waiting for the docs to be merged on another repo still. Here is a link to the doc build from CI that shows the What's New https://2550-5282596-gh.circle-artifacts.com/0/docs/build/html/whats_new.html
CHANNELS="-c conda-forge/label/testing -c conda-forge -c defaults"
PACKAGES_COMMON="flufl.lock owslib pep8 pillow pyepsg pyshp pytest"
PACKAGES_COMMON="$PACKAGES_COMMON pytest-xdist requests setuptools_scm"
PACKAGES_COMMON="$PACKAGES_COMMON setuptools_scm_git_archive shapely"
PACKAGES_LATEST="python=3.8 cython fiona matplotlib-base numpy proj<8 pykdtree scipy pytest-cov coveralls spyder=4"
:( Bummer... The CI systems list out what packages they installed and where they got them from
conda list at the end of the "Install Dependencies" step. You can try to see if there is a difference between your local versions and those I guess? Here is the most recent one: https://github.com/SciTools/cartopy/runs/2413220331
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.
