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base: ymlesni:e8ed57e2a0d509b4d4cf8248be00294166277e5a
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ymlesni:main ymlesni:feature/ISL-4832-przepisac-catalogeditor-do-pythona ymlesni:feature/ISEPOS-2280-mechanizm-raportowania-informacji-z-aplikacji-do-pliku-z-logami episodes-platform:main
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compare: ymlesni:feature/ISL-4832-przepisac-catalogeditor-do-pythona
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ymlesni:feature/ISL-4832-przepisac-catalogeditor-do-pythona ymlesni:feature/ISEPOS-2280-mechanizm-raportowania-informacji-z-aplikacji-do-pliku-z-logami ymlesni:main episodes-platform:main

4 Commits
e8ed57e2a0 ... feature/IS

Author SHA1 Message Date
plgmlesniak
d9a962e3bb ISL-4832 Removed standalone sort by time script and added information to sort by time script that it requires find catalog column script 2025-02-19 13:52:18 +01:00
plgmlesniak
9770709a81 ISL-4832 Adjusted descriptions 2025-01-13 18:42:29 +01:00
plgmlesniak
9fa094a2dc ISL-4832 Adjusted description in find_catalog_column.py, sort_by_time.py and sort_by_time_standalone.py 2025-01-13 12:44:44 +01:00
plgmlesniak
60e52884f4 ISL-4832 Adjusted sort_by_time.py script 2025-01-13 12:27:50 +01:00
2 changed files with 7 additions and 13 deletions
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4
python/catalog/find_catalog_column.py
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@@ -20,8 +20,8 @@ def find_catalog_column(catalog, field_name):
Finds the index of a column in the catalog based on its field name. Finds the index of a column in the catalog based on its field name.
Parameters: Parameters:
catalog (np.ndarray): A structured NumPy array representing the catalog, where each row catalog (np.ndarray): A structured NumPy array representing a catalog in EPISODES Platform format:
corresponds to a field with attributes like 'field', 'val', etc. https://docs.cyfronet.pl/display/ISDOC/Catalogs
field_name (str): The field name of the entry to search for. field_name (str): The field name of the entry to search for.
Returns: Returns:

16
python/catalog/sort_by_time.py
View File

@@ -16,14 +16,15 @@
# This work was partially funded by DT-GEO Project. # This work was partially funded by DT-GEO Project.
# ----------------- # -----------------
import numpy as np import numpy as np
from find_catalog_column import find_catalog_column
def sort_by_time(catalog): 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: Parameters:
catalog (np.ndarray): A structured NumPy array representing the catalog, where each row catalog (np.ndarray): A structured NumPy array representing a seismic catalog in EPISODES Platform format:
contains fields like 'Time', 'ID', and others. https://docs.cyfronet.pl/display/ISDOC/Seismic+catalog
Returns: Returns:
np.ndarray: The sorted catalog, where rows in 'val' fields are ordered by ascending 'Time' values. np.ndarray: The sorted catalog, where rows in 'val' fields are ordered by ascending 'Time' values.
@@ -31,14 +32,7 @@ def sort_by_time(catalog):
Raises: Raises:
ValueError: If the 'Time' column is not found in the catalog. ValueError: If the 'Time' column is not found in the catalog.
""" """
time_col_index = find_catalog_column(catalog, 'Time')
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() time_values = catalog[time_col_index]['val'].flatten()
sorted_indexes = np.argsort(time_values) sorted_indexes = np.argsort(time_values)