Hello! Thanks for reaching out. Without seeing your original code, I can't be totally sure why this isn't working from you. It likely depends on how you are drawing the lines and labels. The following code will generate the attached plot on Cartopy 0.20.2. The version here is important, as some of the syntax for controlling line and label location and formatting has changed, so be sure to update if you aren't already! import cartopy.crs as ccrs import matplotlib.pyplot as plt import matplotlib.ticker as mticker # plt.subplots useful for quickly creating both an axes # and containing figure, with keywords specified up-front f, ax = plt.subplots(figsize=(12, 8), subplot_kw={"projection": ccrs.Robinson()}) ax.coastlines() gl = ax.gridlines(draw_labels=True) gl.xlines = False gl.ylocator = mticker.FixedLocator( [-80, -70, -60, -50, -40, -30, -20, -10, 0, 10, 20, 30, 40, 50, 60, 70, 80] ) gl.top_labels = False gl.bottom_labels = False f.savefig("test.png") # tested on 300 dpi too Importantly, creating the `gridlines` object with labels drawn will give you more control over gridline location and labelling. Your issue with figure drawing may depend on default font/line sizes and a figure that is too small such that labels get overridden. You'll see in this example that I specified a figure size. Give this a try yourself and let me know if that fixes your figure drawing issue! If not, please be sure to follow up and attach your full code and the associated output. Hope this helps. All the best, Drew > We will be very grateful to you if you can show us an example on labeling > the latitude axis on following latitudes, say, > [-80, -70, -60, -50, -40, -30, -20, -10, 0, 10, 20, 30, 40, 50, 60, 70, 80] > on a cartopy map with Robinson projection (without label rotation). > > We have found two issues here: > 1) There are missing labels for latitudes north and south of 50 degrees; > 2) The figure seen from plt.show() on jupyter notebook is not the same when > the figure is saved with fig.savefig('fig.png', dpi=300). Only a label of > equator 0 can be found on the saved png file. > Ticket Details =================== Ticket ID: SVF-637421 Department: Support Python Priority: Low Status: Closed =================== NOTE: All email exchanges with Unidata User Support are recorded in the Unidata inquiry tracking system and then made publicly available through the web. If you do not want to have your interactions made available in this way, you must let us know in each email you send to us.
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test.png
Description: PNG image