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euler_pole: add PMM plotting functions #935

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merged 24 commits into from
Jan 15, 2023
Merged

euler_pole: add PMM plotting functions #935

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c1eb0d8
euler_pole.py: add PMM plotting functions
yuankailiu Dec 23, 2022
fa16079
updates
yuankailiu Jan 6, 2023
17c6a19
+ plate_motion.py: ITRF2014_PMM use full names as keys
yuankailiu Jan 6, 2023
ed9f4dd
bugfix for codacy and unit_test checks
yuankailiu Jan 6, 2023
5e491ab
ionex: attempt to fix the unit test
yunjunz Jan 6, 2023
22f88ba
ionex: bugfix attempt no. 2
yunjunz Jan 6, 2023
b62d748
test git rename via jupyter
yunjunz Jan 7, 2023
217c914
Revert "test git rename via jupyter"
yunjunz Jan 7, 2023
e5f3057
Revert "ionex: bugfix attempt no. 2"
yunjunz Jan 7, 2023
5eed6d6
Revert "ionex: attempt to fix the unit test"
yunjunz Jan 7, 2023
c92a02d
remove the unnecessary plate name abbreviation in `plate_motion.py -h`
yunjunz Jan 7, 2023
c87bd3e
filenames and variable changes:
yuankailiu Jan 9, 2023
32764aa
structure changes
yuankailiu Jan 10, 2023
2722779
move ITRF2014_PMM dependent codes to src/mintpy/plate_motion.py
yuankailiu Jan 11, 2023
bd365f4
src/mintpy/plate_motion.py
yuankailiu Jan 11, 2023
c0024a3
fix import in tests/objects/euler_pole.py
yuankailiu Jan 11, 2023
140613e
plate_boundary dir/file rename with shell cmds to reproduce
yunjunz Jan 12, 2023
f460c3e
codacy fix
yunjunz Jan 12, 2023
866a7f6
euler_pole refactor - part 1
yunjunz Jan 12, 2023
1ff55c3
codacy fix
yunjunz Jan 12, 2023
0509ac5
euler_pole refactor part 2
yunjunz Jan 12, 2023
7ca596f
updates to the plate boundary files:
yuankailiu Jan 15, 2023
d008dcc
update
yuankailiu Jan 15, 2023
975f9d8
read_plate_outline: return as shapely object
yunjunz Jan 15, 2023
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ionex: bugfix attempt no. 2
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@yunjunz
yunjunz committed Jan 6, 2023
commit 22f88ba496d453b876f2e311c87086f6e2484e88
2 changes: 1 addition & 1 deletion src/mintpy/objects/ionex.py
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Original file line number Diff line number Diff line change
Expand Up @@ -184,7 +184,7 @@ def interp_3d_rotate(interpfs, mins, lats, lons, utc_min, lat, lon):
tec_val = interpolate.interpn(
points=(mins, np.flip(lats), lons),
values=np.flip(tec_maps, axis=1),
xi=np.array([utc_min, lat, lon]),
xi=np.array([utc_min, lat, lon], order='C'),
method='linear',
)

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