lat_0, lon_0 ignored
Nobody has claimed this yet.
Assessment
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Newbie friendliness
- 35/100
- Issue type
- Bug
- Clarity
- Mostly clear
- Activity status
- Stale
- Tech stack
- python
- Domain
- data-visualization
Research direction
Start with the Basemap projection setup and coordinate-conversion entry points, then run the supplied Cylindrical Equal Area example with and without lat_0 and lon_0. Verify whether m(0, 0, inverse=True) honors the supplied origin instead of returning the lower-left map bounds; done means the behavior matches the documented parameters or the limitation is clearly established.
Written by the indexing model from the issue text.
Description
I am trying to set up Basemap to use a Cylindrical Equal Area projection and to place the origin at a specific lat/lon (this is to match some input x/y data that uses a false easting/northing), but it seems that setting the lat_0 and lon_0 parameters does nothing.
from mpl_toolkits.basemap import Basemap
# Oklahoma bounds
# ('o' = origin at corner of Kingfisher/Logan/Canadian/Oklahoma counties)
lats = {'n': 37.1, 's': 33.6, 'c': 35.5, 'o': 35.726}
lons = {'e': -94.4, 'w': -103.0, 'c': -97.5, 'o': -97.674}
buf = 0.05 # plot buffer size (in degrees)
res = 'c' # map shapes resolution
# projection parameters
proj = 'cea' # cylindrical equal area
lat_ts = lats['c'] # true scale at geographic center
lon_0 = lons['o'] # x=0 at counties corner
lat_0 = lats['o'] # y=0 at counties corner
m = Basemap(projection = proj, lat_ts = lat_ts, resolution = res,
lon_0 = lon_0, lat_0 = lat_0,
urcrnrlon = lons['e'] + buf, urcrnrlat = lats['n'] + buf,
llcrnrlon = lons['w'] - buf, llcrnrlat = lats['s'] - buf*4)
Then checking the origin gives:
In [15]: m(0, 0, inverse=True)
Out[15]: (-103.05000000000305, 33.399999999963455)
...which is the lower-left corner of the map bounds, not the coordinates I gave for lat_0 and lon_0. I get the same output if I leave out lat_0 and lon_0 entirely.
At first, I thought maybe the CEA projection doesn't support these parameters and that I should just shift my data manually, but the docs claim that lat_0 and lon_0 are used by all projections to set the origin.
As a workaround, I can set an offset to get the intended results:
offset = m(lon_0, lat_0)
df['x'], df['y'] = (df.x + offset[0], df.y + offset[1]) # where df is a Pandas dataframe with my data
Note: Originally posted to StackOverflow, where I was encouraged to move the issue here. http://stackoverflow.com/questions/31302427/lat-0-lon-0-ignored-by-basemap
- Dominant language
- Python
- Stars
- 817
- Forks
- 395
- PR merge metrics
- No merged PRs in 30d
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
More from matplotlib/basemap
-
Difficulty 2/5 1-3 hours Newbie friendliness 68/100
matplotlib/basemap#368 ·
-
Python 3.14 wheels Open
Difficulty 4/5 3-5 days Newbie friendliness 48/100
matplotlib/basemap#652 · 2 comments · 5 reactions ·
-
Difficulty 2/5 1-3 hours Newbie friendliness 45/100
matplotlib/basemap#649 · 2 reactions ·
-
Difficulty 5/5 Over a week Newbie friendliness 35/100
matplotlib/basemap#646 ·
-
Difficulty 2/5 1-3 hours Newbie friendliness 48/100
matplotlib/basemap#645 · 2 comments ·
All issues in matplotlib/basemap
Similar issues
-
essnmx good first issue
Difficulty 1/5 Under an hour Newbie friendliness 95/100
-
[Feature] 奇物选择添加优先级 Open
Difficulty 2/5 1-3 hours Newbie friendliness 65/100
syfoud/Simulated_Scepter#174 ·
-
Difficulty 2/5 1-3 hours Newbie friendliness 75/100
Giskard-AI/giskard-oss#2840 · 1 comment ·
-
A claim comment carrying the issue number is silently declined while the workflow reports success Openarea: repo bug perceived difficulty: 2
Difficulty 2/5 1-3 hours Newbie friendliness 70/100
-
Difficulty 2/5 1-3 hours Newbie friendliness 75/100
yeti-platform/yeti#1380 ·