Julius Busecke jbusecke
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| target_values = levels=np.arange(24.2,28, 0.2) |
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| so_sigma = grid.transform( | |
| ds.so, | |
| 'Z', | |
| target_values, | |
| target_data=ds.sigma_0 | |
| ) | |
| so_sigma |
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| # Lets do the same thing with cfcs and package them into a dataset | |
| cfc_sigma = grid.transform( | |
| ds.cfc11, | |
| 'Z', | |
| target_values, | |
| target_data=ds.sigma_0) | |
| ds_sigma = xr.Dataset({'cfc11':cfc_sigma, 'so':so_sigma}) | |
| ds_sigma |
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| ds_sigma_section = ds_sigma.sel( | |
| time='2010-01', | |
| y=slice(-90,10) | |
| ).interp(x=230).squeeze() | |
| fig, axarr = plt.subplots(nrows=2, figsize=[10,8], sharex=True) | |
| for ax, var, cmap in zip( | |
| axarr.flat, | |
| ['so', 'cfc11'], | |
| [cmo.haline, cmo.matter] |
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| ds_sigma_map = ds_sigma.sel( | |
| time='2000-01', | |
| sigma_0=26.6, | |
| method='nearest' | |
| ).sel(y=slice(-90,0)).squeeze() | |
| import cartopy.crs as ccrs | |
| import matplotlib.path as mpath | |
| import cartopy.feature as cfeature |
jbusecke
/ sign_issue.ipynb
Last active
December 9, 2020 00:35
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jbusecke
/ tc_xmovie_parallel_test.ipynb
Created
March 10, 2021 15:44
Testing tomchors PR for xmovie
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jbusecke
/ 2d-histogram-dask-report-short.html
Created
April 29, 2021 21:24
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| <!DOCTYPE html> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="utf-8"> |
jbusecke
/ 2d-histogram-dask-report-full.html
Created
April 29, 2021 21:26
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| <!DOCTYPE html> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="utf-8"> |