map zoom function on the user info does not work properly -> needs redraw

[Jens-Uwe Grooß]

When using the zoom button that should create a zoomed-in map the figures are not displayed properly. Neather the color bar is placed correctly not the line widths are adapted. Also the plot after a new retrieve ov the image, the plot looks totally wrong

in the attached example figures there is 1. global cylindric view 2. zoom into hemispheric subset 3. after a new retrieve 4. further zoom in 5. after a new retrieve

[Reimar Bauer]

@grooss please add images next time

[Reimar Bauer]

[Reimar Bauer]

@grooss have you tried redraw?

This is how this looks to me after I do a redraw

I guess without redraw you zoom into the cached data.

[Reimar Bauer]

Please check if this is working

1. disable auto update
2. zoom in
3. redraw
4. retrieve

[Reimar Bauer]

btw. we have to verify if the same issue happens with the viewed data if you move the view

[Jens-Uwe Grooß]

redraw does work indeed correctly.

But "clear cache" followed by "retrieve" does not. So something with the cache is not, how it should be, but I think, we can close this issue.

[Reimar Bauer]

clear cache is cache cleaning.

coordination systems are not cleared by this.

I add a feature request to automate redraw on zoom

[Jens-Uwe Grooß]

issue seems to be solved by using the REDRAW button instead of the RETRIVE button

[Reimar Bauer]

We have to redraw always if zoomed into a dataset

so we can do this automaticly

[Reimar Bauer]

@grooss I reopened as feature to automate this.

Why should a user always do know to click redraw. I guess if we won't work on this, there will be more questions.

and "resolve" is a different meaning.

[Anveshan Lal]

I've implemented the zoom feature on cartopy, the axes and gridlines were able to readjust normally.

import cartopy.crs as ccrs import matplotlib.pyplot as plt plt.figure(figsize=(5.12985642927, 3)) ax = plt.axes(projection=ccrs.PlateCarree(central_longitude=-35)) ax.set_extent([0, 50, -4, 10], crs=ccrs.PlateCarree()) ax.coastlines(resolution='110m') gl = ax.gridlines(crs=ccrs.PlateCarree(), draw_labels=True, linewidth=1, color='gray', alpha=0.5, linestyle='-')

The issue should resolve after refactoring to cartopy package

[Reimar Bauer]

this will become fixed after refactoring to cartopy