python/catalog/sort_by_time.py

@@ -20,7 +20,7 @@ from find_catalog_column import find_catalog_column
 
 def sort_by_time(catalog):
     """
-    Sorts the given catalog based on the 'Time' column.
+    Sorts the given catalog based on the 'Time' column. Requires find_catalog_column script to work.
 
     Parameters:
         catalog (np.ndarray): A structured NumPy array representing a seismic catalog in EPISODES Platform format:

python/catalog/sort_by_time_standalone.py

@@ -1,50 +0,0 @@
-# -----------------
-# Copyright © 2024 ACK Cyfronet AGH, Poland.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-# This work was partially funded by DT-GEO Project.
-# -----------------
-import numpy as np
-
-def sort_by_time(catalog):
-    """
-    Sorts the given catalog based on the 'Time' column.
-
-    Parameters:
-        catalog (np.ndarray): A structured NumPy array representing a seismic catalog in EPISODES Platform format:
-                              https://docs.cyfronet.pl/display/ISDOC/Seismic+catalog
-
-    Returns:
-        np.ndarray: The sorted catalog, where rows in 'val' fields are ordered by ascending 'Time' values.
-
-    Raises:
-        ValueError: If the 'Time' column is not found in the catalog.
-    """
-
-    time_col_index = None
-    for idx, col in enumerate(catalog):
-        if col['field'] == "Time":
-            time_col_index = idx
-
-    if time_col_index is None:
-        raise ValueError("No 'Time' field found in the catalog.")
-
-    time_values = catalog[time_col_index]['val'].flatten()
-    sorted_indexes = np.argsort(time_values)
-
-    sorted_catalog = catalog.copy()
-    for field in sorted_catalog:
-        field['val'] = field['val'][sorted_indexes]
-
-    return sorted_catalog