forked from episodes-platform/shared-snippets
feature/ISL-4832-przepisac-catalogeditor-do-pythona #4
36
python/catalog/find_catalog_column.py
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36
python/catalog/find_catalog_column.py
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# -----------------
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# Copyright © 2024 ACK Cyfronet AGH, Poland.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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# This work was partially funded by DT-GEO Project.
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# -----------------
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def find_catalog_column(catalog, field_name):
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"""
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Finds the index of a column in the catalog based on its field name.
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Parameters:
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catalog (np.ndarray): A structured NumPy array representing a catalog in EPISODES Platform format:
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https://docs.cyfronet.pl/display/ISDOC/Catalogs
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field_name (str): The field name of the entry to search for.
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Returns:
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int: The index of the entry matching the given field name.
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Raises:
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ValueError: If the specified field name is not found in the catalog.
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"""
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for idx, col in enumerate(catalog):
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if col['field'] == field_name:
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return idx
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raise ValueError(f'No {field_name} field found in the catalog.')
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44
python/catalog/sort_by_time.py
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44
python/catalog/sort_by_time.py
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# -----------------
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# Copyright © 2024 ACK Cyfronet AGH, Poland.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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# This work was partially funded by DT-GEO Project.
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# -----------------
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import numpy as np
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from find_catalog_column import find_catalog_column
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def sort_by_time(catalog):
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"""
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Sorts the given catalog based on the 'Time' column.
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Parameters:
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catalog (np.ndarray): A structured NumPy array representing a seismic catalog in EPISODES Platform format:
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https://docs.cyfronet.pl/display/ISDOC/Seismic+catalog
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Returns:
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np.ndarray: The sorted catalog, where rows in 'val' fields are ordered by ascending 'Time' values.
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Raises:
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ValueError: If the 'Time' column is not found in the catalog.
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"""
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time_col_index = find_catalog_column(catalog, 'Time')
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time_values = catalog[time_col_index]['val'].flatten()
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sorted_indexes = np.argsort(time_values)
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sorted_catalog = catalog.copy()
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for field in sorted_catalog:
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field['val'] = field['val'][sorted_indexes]
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return sorted_catalog
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50
python/catalog/sort_by_time_standalone.py
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50
python/catalog/sort_by_time_standalone.py
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# -----------------
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# Copyright © 2024 ACK Cyfronet AGH, Poland.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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# This work was partially funded by DT-GEO Project.
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# -----------------
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import numpy as np
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def sort_by_time(catalog):
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"""
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Sorts the given catalog based on the 'Time' column.
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Parameters:
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catalog (np.ndarray): A structured NumPy array representing a seismic catalog in EPISODES Platform format:
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https://docs.cyfronet.pl/display/ISDOC/Seismic+catalog
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Returns:
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np.ndarray: The sorted catalog, where rows in 'val' fields are ordered by ascending 'Time' values.
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Raises:
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ValueError: If the 'Time' column is not found in the catalog.
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"""
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time_col_index = None
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for idx, col in enumerate(catalog):
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if col['field'] == "Time":
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time_col_index = idx
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if time_col_index is None:
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raise ValueError("No 'Time' field found in the catalog.")
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time_values = catalog[time_col_index]['val'].flatten()
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sorted_indexes = np.argsort(time_values)
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sorted_catalog = catalog.copy()
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for field in sorted_catalog:
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field['val'] = field['val'][sorted_indexes]
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return sorted_catalog
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