Is basemap.rotate_vector working correctly?
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 30/100
- Issue type
- Bug
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- numpy, python
- Domain
- data-visualization
Research direction
Start with the provided Python reproduction and the Basemap.rotate_vector entry point, using the lon=-84 and lat=45 vectors shown. Run the example and inspect the returned components and plotted arrows for the stated projection. Done means establishing whether the arrows should match and documenting or correcting the behavior with a regression check.
Written by the indexing model from the issue text.
Description
I have another indication that there might be something wrong in case of the rotpole projection, I'll try to make an example with that, later when I have some time. But for now please see the example below, should those to arrows be identical in this projection? (red is the rotated one and green is the original one) ...
import numpy as np
from mpl_toolkits.basemap import Basemap
import matplotlib.pyplot as plt
u = np.array([0.5, ])
v = np.array([0.5, ])
lon = -84
lat = 45
lon = np.array([lon, ])
lat = np.array([lat, ])
b = Basemap(lon_0=0)
urot, vrot = b.rotate_vector(u, v, lon, lat)
xx, yy = b(lon, lat)
b.quiver(xx, yy, urot, vrot, color="r")
b.quiver(xx, yy, u, v, color="g")
b.drawcoastlines()
Cheers
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- Python
- Stars
- 817
- Forks
- 395
- PR merge metrics
- No merged PRs in 30d
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