From 912ed9f2b4cc6bb494731fd4fc1fae8bf0d8fc9c Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Mon, 17 Jul 2023 14:33:00 -0500
Subject: [PATCH] `snapshot...`
---
modules/util/abi_surfrad.py | 8 ++++----
1 file changed, 4 insertions(+), 4 deletions(-)
diff --git a/modules/util/abi_surfrad.py b/modules/util/abi_surfrad.py
index 7ae58dd7..394b44e3 100644
--- a/modules/util/abi_surfrad.py
+++ b/modules/util/abi_surfrad.py
@@ -170,7 +170,7 @@ def run_all(directory, out_directory, day_night='ANY', pattern='clavrx_*.nc', st
np.save(out_directory + 'valid_ires_' + str(cnt), valid_i)
num_valid_samples = valid_m.shape[0]
- param_valid_hist += np.histogram(valid_m[param_idx_m, ], bins=20, range=[0.0, 160.0])[0]
+ param_valid_hist += np.histogram(valid_m[param_idx_m, ], bins=14)[0]
data_tiles_i = []
data_tiles_m = []
@@ -191,7 +191,7 @@ def run_all(directory, out_directory, day_night='ANY', pattern='clavrx_*.nc', st
np.save(out_directory + 'valid_mres_' + str(cnt), valid_m)
np.save(out_directory + 'valid_ires_' + str(cnt), valid_i)
num_valid_samples = valid_m.shape[0]
- param_valid_hist += np.histogram(valid_m[param_idx_m, ], bins=20, range=[0.0, 160.0])[0]
+ param_valid_hist += np.histogram(valid_m[param_idx_m, ], bins=14)[0]
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(param_valid_hist)
@@ -242,7 +242,7 @@ def run_all(directory, out_directory, day_night='ANY', pattern='clavrx_*.nc', st
np.save(out_directory + 'train_mres_' + str(cnt), train_m)
num_train_samples = train_m.shape[0]
- param_train_hist += np.histogram(train_m[param_idx_m, ], bins=20, range=[0.0, 160.0])[0]
+ param_train_hist += np.histogram(train_m[param_idx_m, ], bins=14)[0]
data_tiles_i = []
data_tiles_m = []
@@ -263,7 +263,7 @@ def run_all(directory, out_directory, day_night='ANY', pattern='clavrx_*.nc', st
np.save(out_directory + 'train_ires_' + str(cnt), train_i)
np.save(out_directory + 'train_mres_' + str(cnt), train_m)
num_train_samples = train_m.shape[0]
- param_train_hist += np.histogram(train_m[param_idx_m, ], bins=20, range=[0.0, 160.0])[0]
+ param_train_hist += np.histogram(train_m[param_idx_m, ], bins=14)[0]
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(param_train_hist)
--
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