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Commit b6fe8472 authored by tomrink's avatar tomrink
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parent de479426
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...@@ -235,31 +235,3 @@ def run(h5f, param_s, train_tiles, valid_tiles, lbl_param_s, lbl_train_tiles, lb ...@@ -235,31 +235,3 @@ def run(h5f, param_s, train_tiles, valid_tiles, lbl_param_s, lbl_train_tiles, lb
valid_tiles.append(nda) valid_tiles.append(nda)
lbl_valid_tiles.append(nda_lbl) lbl_valid_tiles.append(nda_lbl)
# def run_mean_std(directory):
#
# data_dct = {name: [] for name in mod_res_params}
# mean_dct = {name: 0 for name in mod_res_params}
# std_dct = {name: 0 for name in mod_res_params}
#
# for p in os.scandir(directory):
# if not p.is_dir():
# continue
# mod_files = glob.glob(directory+p.name+'/'+'VNP02MOD*.uwssec.nc')
#
# for idx, mfile in enumerate(mod_files):
# if idx % 8 == 0:
# h5f = h5py.File(mfile, 'r')
# for param in mod_res_params:
# name = 'observation_data/'+param
# gvals = get_grid_values_all(h5f, name, range_name=None, stride=10)
# data_dct[param].append(gvals.flatten())
# print(mfile)
# h5f.close()
#
# for param in mod_res_params:
# data = data_dct[param]
# data = np.concatenate(data)
#
# mean_dct[param] = np.nanmean(data)
# std_dct[param] = np.nanstd(data)
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