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Feature step4 integration #50

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merged 15 commits into from
Jan 17, 2024
Merged

Feature step4 integration #50

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5b29d3d
added A02c_IOWAGA_thredds_prior.py file for step 4. removed commented…
kmilo9999 Dec 27, 2023
733052d
Merge branch 'main' into feat-step4-intg
kmilo9999 Jan 15, 2024
29a3fcf
added fourth command to the github workflow
kmilo9999 Jan 15, 2024
4678d76
renamed step4 in workflow file
kmilo9999 Jan 15, 2024
494245b
fixing error in non-callable module
kmilo9999 Jan 15, 2024
b43a02c
added siphon dependency
kmilo9999 Jan 16, 2024
dae358f
Merge branch 'main' into feat-step4-intg
cpaniaguam Jan 16, 2024
4c486d1
Merge branch 'main' into feat-step4-intg
cpaniaguam Jan 16, 2024
e96c943
fix: step 4 cleanups
cpaniaguam Jan 16, 2024
3ccb7c0
fix: add explicit import xarray
cpaniaguam Jan 17, 2024
309b36f
fix: remove use of the imp module
cpaniaguam Jan 17, 2024
f6e1580
fix: organize imports, remove unused
cpaniaguam Jan 17, 2024
7319992
Merge branch 'feat-step4-intg' of https://github.com/brown-ccv/icesat…
kmilo9999 Jan 15, 2024
e703295
dep: add siphon
cpaniaguam Jan 17, 2024
a6c80d3
Merge branch 'feat-step4-intg' of https://github.com/brown-ccv/icesat…
cpaniaguam Jan 17, 2024
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2 changes: 2 additions & 0 deletions .github/workflows/test-B01_SL_load_single_file.yml
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Expand Up @@ -27,3 +27,5 @@ jobs:
run: python src/icesat2_tracks/analysis_db/B02_make_spectra_gFT.py SH_20190502_05180312 SH_testSLsinglefile2 True
- name: third step plot_spectra
run: python src/icesat2_tracks/analysis_db/B03_plot_spectra_ov.py SH_20190502_05180312 SH_testSLsinglefile2 True
- name: fourth step plot_spectra
run: python src/icesat2_tracks/analysis_db/A02c_IOWAGA_thredds_prior.py SH_20190502_05180312 SH_testSLsinglefile2 True
2 changes: 1 addition & 1 deletion analyis_publish/PB03_plot_spectra_3x3_ov.py
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Expand Up @@ -152,7 +152,7 @@ def plot_wavenumber_spectrogram(ax, Gi, clev, plot_photon_density=True , cmap=No
#Gmean = G_gFT_wmean['gFT_PSD_data'].rolling(k=5, center=True).mean()


Gmean = gFT.rebin(G_gFT_wmean['gFT_PSD_data'], 10)
Gmean,_ = gFT.rebin(G_gFT_wmean['gFT_PSD_data'], 10)

#Gmean = Gmean.where(~np.isnan(Gmean), 0)

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