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Commit 95048aa8 authored by tomrink's avatar tomrink
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modules/util/abi_surfrad.py
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...@@ -182,7 +182,7 @@ def run_all(directory, out_directory, day_night='ANY', pattern='clavrx_*.nc', st ...@@ -182,7 +182,7 @@ def run_all(directory, out_directory, day_night='ANY', pattern='clavrx_*.nc', st
np.save(out_directory + 'valid_ires_' + f'{cnt:04d}', valid_i) np.save(out_directory + 'valid_ires_' + f'{cnt:04d}', valid_i)
num_valid_samples = valid_m.shape[0] num_valid_samples = valid_m.shape[0]
param_valid_hist += np.histogram(valid_m[param_idx_m, ], bins=16, range=hist_range)[0] param_valid_hist += np.histogram(valid_m[:, param_idx_m, :, :], bins=16, range=hist_range)[0]
data_tiles_i = [] data_tiles_i = []
data_tiles_m = [] data_tiles_m = []
...@@ -203,7 +203,7 @@ def run_all(directory, out_directory, day_night='ANY', pattern='clavrx_*.nc', st ...@@ -203,7 +203,7 @@ def run_all(directory, out_directory, day_night='ANY', pattern='clavrx_*.nc', st
np.save(out_directory + 'valid_mres_' + f'{cnt:04d}', valid_m) np.save(out_directory + 'valid_mres_' + f'{cnt:04d}', valid_m)
np.save(out_directory + 'valid_ires_' + f'{cnt:04d}', valid_i) np.save(out_directory + 'valid_ires_' + f'{cnt:04d}', valid_i)
num_valid_samples = valid_m.shape[0] num_valid_samples = valid_m.shape[0]
param_valid_hist += np.histogram(valid_m[param_idx_m, ], bins=16, range=hist_range)[0] param_valid_hist += np.histogram(valid_m[:, param_idx_m, :, :], bins=16, range=hist_range)[0]
total_num_valid_samples += num_valid_samples total_num_valid_samples += num_valid_samples
print('total_num_valid_samples, total_num_not_missing: ', total_num_valid_samples, total_num_not_missing) print('total_num_valid_samples, total_num_not_missing: ', total_num_valid_samples, total_num_not_missing)
print(param_valid_hist) print(param_valid_hist)
...@@ -253,7 +253,7 @@ def run_all(directory, out_directory, day_night='ANY', pattern='clavrx_*.nc', st ...@@ -253,7 +253,7 @@ def run_all(directory, out_directory, day_night='ANY', pattern='clavrx_*.nc', st
np.save(out_directory + 'train_mres_' + f'{cnt:04d}', train_m) np.save(out_directory + 'train_mres_' + f'{cnt:04d}', train_m)
num_train_samples = train_m.shape[0] num_train_samples = train_m.shape[0]
param_train_hist += np.histogram(train_m[param_idx_m, ], bins=16, range=hist_range)[0] param_train_hist += np.histogram(train_m[:, param_idx_m, :, :], bins=16, range=hist_range)[0]
data_tiles_i = [] data_tiles_i = []
data_tiles_m = [] data_tiles_m = []
...@@ -274,7 +274,7 @@ def run_all(directory, out_directory, day_night='ANY', pattern='clavrx_*.nc', st ...@@ -274,7 +274,7 @@ def run_all(directory, out_directory, day_night='ANY', pattern='clavrx_*.nc', st
np.save(out_directory + 'train_ires_' + f'{cnt:04d}', train_i) np.save(out_directory + 'train_ires_' + f'{cnt:04d}', train_i)
np.save(out_directory + 'train_mres_' + f'{cnt:04d}', train_m) np.save(out_directory + 'train_mres_' + f'{cnt:04d}', train_m)
num_train_samples = train_m.shape[0] num_train_samples = train_m.shape[0]
param_train_hist += np.histogram(train_m[param_idx_m, ], bins=16, range=hist_range)[0] param_train_hist += np.histogram(train_m[:, param_idx_m, :, :], bins=16, range=hist_range)[0]
total_num_train_samples += num_train_samples total_num_train_samples += num_train_samples
print('total_num_train_samples, total_num_not_missing: ', total_num_train_samples, total_num_not_missing) print('total_num_train_samples, total_num_not_missing: ', total_num_train_samples, total_num_not_missing)
print(param_train_hist) print(param_train_hist)
......
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