seismic.inventory package¶

Subpackages¶

seismic.inventory.dataio package

Submodules¶

seismic.inventory.add_time_corrections module¶

Add GPS clock time correction csv_data into inventory file to get a modified station xml file

CreationDate:: 24/02/2020
Developer:: fei.zhang@ga.gov.au

seismic.inventory.add_time_corrections.add_gpscorrection_into_stationxml(csv_file, input_xml, out_xml=None)[source]¶

Read in the correction CSV data from a file, get the station metadata node from input_xml file, then add the CSV data into the station xml node to write into out_xml

Parameters

csv_file – input csv file with correction data
input_xml – input original stationXML file which contains the metadata for the network and station of csv_file
out_xml – Directory of the output xml file

Returns

full path of the output xml file

seismic.inventory.add_time_corrections.extract_csvdata(path2xml)[source]¶

Read the station xml file and extract the csv data to be parsed by pandas

Parameters: path2xml – path_to_stationxml
Returns: csv_str

seismic.inventory.add_time_corrections.get_csv_correction_data(path_csvfile)[source]¶

Read in the csv data from an input file, get the network_code, station_code, csv_data. Format::: $ head 7D.DE43_clock_correction.csv net,sta,date,clock_correction 7D,DE43,2012-11-27,1.0398489013215846 7D,DE43,2012-11-28,0.9408504322549281 7D,DE43,2012-11-29,0.8418519631882714 7D,DE43,2012-11-30,0.7428534941216148 7D,DE43,2012-12-01,0.6438550250549583

Parameters: path_csvfile – input csv file in /g/data/ha3/Passive/SHARED_DATA/GPS_Clock/corrections/
Returns: (network_code, station_code, csv_data)

seismic.inventory.engd2stxml module¶

Engdahl and ISC STN data conversion to FDSN station XML¶

Creates database of stations from .STN files, curates the data using heuristic rules, and exports new stations to FDSN station XML format network with non-empty, nominal instrument response data.

Cleanup steps applied: * Removes “blacklisted” networks that add little value and cause problems due to station code conflicts. * Add default station dates where missing. * Make “future” station end dates consistent to max Pandas timestamp. * Remove records with illegal station codes. * Remove duplicate station records. * Merge overlapping channel dates for given NET.STAT.CHAN to a single epoch.

seismic.inventory.engd2stxml.cleanup_database(df)[source]¶

Main cleanup function encompassing the sequential data cleanup steps.

Parameters: df (pandas.DataFrame conforming to table_format.TABLE_SCHEMA) – Dataframe of station records to clean up
Returns: Cleaned up dataframe of station records
Return type: pandas.DataFrame conforming to table_format.TABLE_SCHEMA

seismic.inventory.engd2stxml.compute_neighboring_station_matrix(df)[source]¶

Compute sparse matrix representing index of neighboring stations.

Ordering of matrix corresponds to ordering of Dataframe df, which is expected to be sequential integer indexed. For a given station index i, then the non-zero off-diagonal entries in row i of the returned matrix indicate the indices of adjacent, nearby stations.

Parameters: df (pandas.DataFrame conforming to table_format.TABLE_SCHEMA) – Dataframe containing station records.
Returns: Sparse binary matrix having non-zero values at indices of neighboring stations.
Return type: scipy.sparse.csr_matrix

seismic.inventory.engd2stxml.latlong_to_cosinedistance(latlong_deg_set1, latlong_deg_set2)[source]¶

Compute the approximate cosine distance between each station of 2 sets.

Each set is specified as a numpy column vector of [latitude, longitude] positions in degrees.

This function performs an outer product and will produce matrix of size N0 x N1, where N0 is the number of rows in latlong_deg_set1 and N1 is the number of rows in latlong_deg_set2.

Returns np.ndarray containing cosines of angles between each pair of stations from the input arguments. If input is 1D, convert to 2D for consistency of matrix orientations.

Parameters

latlong_deg_set1 (np.ndarray) – First set of numpy column vector of [latitude, longitude] positions in degrees
latlong_deg_set2 (np.ndarray) – Second set of numpy column vector of [latitude, longitude] positions in degrees

Returns

Array containing cosines of angles between each pair of stations from the input arguments.

Return type

np.ndarray

seismic.inventory.engd2stxml.main(iris_xml_file, stations_folder, output_directory, test_mode=False)[source]¶

Main entry point.

Parameters

iris_xml_file (str or pathlib.Path) – Name of IRIS xml file to load (generated by script update_iris_inventory.py)
stations_folder (str or pathlib.Path) – Path to folder containing STN files to process

seismic.inventory.engd2stxml.merge_overlapping_channel_epochs(df)[source]¶

Removed overlapping time intervals for a given network.station.channel, as this needs to be unique.

This function expects the input DataFrame to have a sequential integer index.

Parameters: df (pandas.DataFrame conforming to table_format.TABLE_SCHEMA) – Dataframe of station records in which to merge overlapping channel dates

seismic.inventory.engd2stxml.populate_default_station_dates(df)[source]¶

Replace all missing station start and end dates with default values. Replace all missing channel start and end dates with their corresponding station/end dates.

Parameters: df (pandas.DataFrame conforming to table_format.TABLE_SCHEMA) – Dataframe in which to fill in missing station start and end dates.

seismic.inventory.engd2stxml.read_eng(fname)[source]¶

Read Engdahl STN file having the following format of fixed width formatted columns:

:: AAI Ambon BMG, Indonesia, IA-Ne -3.6870 128.1945 0.0 2005001 2286324 I :: AAII -3.6871 128.1940 0.0 2005001 2286324 I :: AAK Ala Archa Kyrgyzstan 42.6390 74.4940 0.0 2005001 2286324 I :: ABJI -7.7957 114.2342 0.0 2005001 2286324 I :: APSI -0.9108 121.6487 0.0 2005001 2286324 I :: AS01 Alice Springs Arra -23.6647 133.9508 0.0 2005001 2286324 I :: 0123456789012345678901234567890123456789012345678901234567890123456789012345678901234567890 :: 10 20 30 40 50 60 70 80

Each Station Code (first column) might NOT be unique, and network codes are missing here, so all records are placed under ‘GE’ network.

Parameters: fname (str) – STN file name to load
Returns: Pandas Dataframe containing the loaded data in column order of TABLE_COLUMNS.
Return type: pandas.DataFrame conforming to table_format.TABLE_SCHEMA

seismic.inventory.engd2stxml.read_isc(fname, use_pickle=False)[source]¶

Read ISC station inventory having such format and convert to Pandas DataFrame:

:: 109C 32.8892 -117.1100 0.0 2006-06-01 04:11:18 2008-01-04 01:26:30 :: 109C 32.8882 -117.1050 150.0 2008-01-04 01:26:30 :: FDSN 109C TA – BHZ 2004-05-04 23:00:00 2005-03-03 23:59:59 :: FDSN 109C TA – LHZ 2004-05-04 23:00:00 2005-03-03 23:59:59 :: FDSN 109C TA – BHZ 2005-04-11 00:00:00 2006-01-25 22:31:10 :: FDSN 109C TA – LHZ 2005-04-11 00:00:00 2006-01-25 22:31:10 :: 0123456789012345678901234567890123456789012345678901234567890123456789012345678901234567890 :: 10 20 30 40 50 60 70 80

The lines starting with a station code are HEADER rows, and provide the station coordinates. The idented lines starting with FDSN provide distinct station, network and channel data for the given station location.

Parameters: fname (str) – STN file name to load
Returns: Pandas Dataframe containing the loaded data in column order of TABLE_COLUMNS.
Return type: pandas.DataFrame conforming to table_format.TABLE_SCHEMA

seismic.inventory.engd2stxml.remove_blacklisted(df)[source]¶

Remove network codes that are explicitly blacklisted due to QA issues or undesirable overlap with trusted FDSN station codes.

Parameters: df (pandas.DataFrame conforming to table_format.TABLE_SCHEMA) – Dataframe of initially loaded data from STN files

seismic.inventory.engd2stxml.remove_duplicate_stations(df, neighbor_matrix)[source]¶

Remove stations which are identified as duplicates: * Removes duplicated stations in df based on station code and locality of lat/long coordinates. * Removes duplicated stations based on codes and channel data matching, IRRESPECTIVE of locality

Parameters

df (pandas.DataFrame conforming to table_format.TABLE_SCHEMA) – Dataframe containing station records. Is modified during processing.
neighbor_matrix (scipy.sparse.csr_matrix) – Sparse binary matrix having non-zero values at indices of neighboring stations.

Returns

Dataframe containing station records with identified duplicates removed.

Return type

pandas.DataFrame conforming to table_format.TABLE_SCHEMA

seismic.inventory.engd2stxml.remove_illegal_stationNames(df)[source]¶

Remove records for station names that do not conform to expected naming convention. Such names can cause problems in downstream station, in particular names with asterisk.

Parameters: df (pandas.DataFrame conforming to table_format.TABLE_SCHEMA) – Dataframe containing station records from which illegal station codes should be removed (modified in-place)

seismic.inventory.engd2stxml.reportUnpickleFail(filename)[source]¶

Standard failure report message when trying to unpickle file.

Parameters: filename (str) – The name of the file that failed to unpickle.

seismic.inventory.engd2stxml.write_portable_inventory(df, fname)[source]¶

Write the final database to re-usable file formats.

Parameters

df (pandas.DataFrame conforming to table_format.TABLE_SCHEMA) – Dataframe containing complete inventory of station records.
fname (str) – Base filename to export to. Output filename will be appended with file format extensions.

seismic.inventory.fdsnxml_convert module¶

Helper functions to convert FDSN station XML files to Seiscomp3 SC3ML format.

Can be used as a standalone tool as well:: fdsnxml_convert.py src_path dst_path

seismic.inventory.fdsnxml_convert.sc3_conversion_available()[source]¶

Check whether conversion to seiscomp3 format is available os this system.: Only works for Python 3, for Python 2 it always returns True (i.e. give it a try).

Returns: True if conversion to sc3ml can be performed on this system, False otherwise.
Return type: bool

seismic.inventory.fdsnxml_convert.toSc3ml(src_path, dst_path, response_fdsnxml=None)[source]¶

Convert file(s) in src_path from FDSN station XML to SC3ML and emit result(s) to dst_path.

If src_path is a file, dst_path will be treated as a file. If dst_path already exists as a folder, an exception is raised.

If src_path is a folder, dst_path will be treated as a folder. If dst_path already exists as a file, an exception is raised. The src_path directory hierarchy will be walked to find all .xml files, each of which will be converted to a mirrored relative path under dst_path.

Parameters

src_path (str or pathlib.Path) – The source path from which to input XML file(s).
dst_path (str or pathlib.Path) – The destination path into which converted sc3ml file(s) are output.
response_fdsnxml (str or Path) – Path to existing for containing dummy response to insert into records where instrument response is missing.

Raises

OSError, FileNotFoundError, RuntimeError, FileExistsError

seismic.inventory.generate_network_plots module¶

Load inventory file from hdf5 format and export station location plots to graphics files.

Usage::: python generate_network_plots.py inventory_20190206.h5

where inventory_20190206.h5 here is an example file name. The output folder for the graphics files is inferred from the inventory file name, which would be “inventory_20190206” in this example.

seismic.inventory.inventory_merge module¶

Merge a master inventory (e.g. from IRIS) with custom inventories.

seismic.inventory.inventory_merge.get_matching_net(search_space, item_to_find)[source]¶

seismic.inventory.inventory_merge.inventory_merge(iris_inv, custom_inv, output_file, test_mode=False)[source]¶

Merge an IRIS inventory with a custom inventory, filtering out any custom inventory records: that duplicate IRIS records.

Parameters

iris_inv (str or Path to file) – Station XML file from which to load IRIS inventory
custom_inv (str or Path to file) – Station XML file with custom records to merge with IRIS inventory
output_file (str or Path to file) – File name of output file which will contain merged IRIS and custom inventory.

seismic.inventory.inventory_merge.mean_lat_long(network)[source]¶

Compute mean of station lat/long coordinates within a network

Parameters: network (obspy.core.inventory.network.Network) – Network on which to compute mean lat/long

seismic.inventory.inventory_merge.prune_iris_duplicates(db_other, db_iris)[source]¶

Prune the records out of db_other which duplicate records that exist in db_iris.

Filtering concepts: Station codes and channel codes are reliable, but network codes and station/channel dates are not. Station lat/lon locations are approximately reliable. Therefore the merge method here matches records with matching station code, channel code and approximate location. For each match, we examine station dates, and discard any records of db_other that overlap with db_iris.

db_iris is not changed by this function.

Parameters

db_other (pandas.DataFrame) – DataFrame containing metadata records of custom inventory
db_iris (pandas.DataFrame) – DataFrame containing metadata records of IRIS inventory

Returns

DataFrame containing records from db_other which are unique and do not appear in IRIS.

Return type

pandas.DataFrame

seismic.inventory.inventory_split module¶

Split a station inventory file into a separate file per network.

seismic.inventory.inventory_split.inventory_split(inv_file, output_folder, sc3ml=False)[source]¶

Split an inventory file (station XML) into separate inventory file per network, stored in folder output_folder.

Parameters

inv_file (str or path) – Station inventory to be split. This file is not changed by the script.
output_folder (str or path to folder) – Folder where per-network station xml files will be generated.
sc3ml (bool, optional) – If True, try to convert output files to sc3ml format if possible using seiscomp3. Defaults to False.

seismic.inventory.inventory_split.split_inventory_by_network(obspy_inv, output_folder, validate=False)[source]¶

Export a station XML file per network for each network in given obspy Inventory.

Parameters

obspy_inv (obspy.core.inventory.inventory.Inventory) – Obspy Inventory containing the networks to export to file.
output_folder (str or Path) – Folder in which to output the per-network XML files. Will be created if doesn’t yet exist.
validate (bool, optional) – Whether to validate the station data on write, defaults to False

seismic.inventory.inventory_util module¶

Utility functions and constants shared amongst inventory management modules.

class seismic.inventory.inventory_util.Instrument(sensor, response)¶

Bases: tuple

property response¶: Alias for field number 1

property sensor¶: Alias for field number 0

seismic.inventory.inventory_util.extract_unique_sensors_responses(inv, req, show_progress=True, blacklisted_networks=None, test_mode=False)[source]¶

For the channel codes in the given inventory, determine a nominal instrument response suitable for that code. Note that no attempt is made here to determine an ACTUAL correct response for a given network and station. The only requirement here is to populate a plausible, non-empty response for a given channel code, to placate Seiscomp3 which requires that an instrument response always be present.

Parameters

inv (obspy.Inventory) – Seismic station inventory
req (Object conforming to interface of 'requests' library) – Request object to use for URI query

Returns

Python dict of (obspy.core.inventory.util.Equipment, obspy.core.inventory.response.Response) indexed by str representing channel code

Return type

{str: Instrument(obspy.core.inventory.util.Equipment, obspy.core.inventory.response.Response) } where Instrument is a namedtuple(“Instrument”, [‘sensor’, ‘response’])

seismic.inventory.inventory_util.load_station_xml(inventory_file)[source]¶

Load a stationxml file

Parameters: inventory_file (str or path) – [description]

seismic.inventory.inventory_util.obtain_nominal_instrument_response(netcode, statcode, chcode, req)[source]¶

For given network, station and channel code, find suitable response(s) in IRIS database and return as dict of obspy instrument responses.

Parameters

netcode (str) – Network code (may include wildcards)
statcode (str) – Station code (may include wildcards)
chcode (str) – Channel code (may include wildcards)
req (Object conforming to interface of 'requests' library) – Request object to use for URI query

Returns

Dictionary of instrument responses from IRIS for given network(s), station(s) and channel(s).

Return type

dict of {str, Instrument(obspy.core.inventory.util.Equipment, obspy.core.inventory.response.Response)}

seismic.inventory.iris_query module¶

Helper functions for making and managing web queries to IRIS web service.

seismic.inventory.iris_query.form_channel_request_url(netmask='*', statmask='*', chanmask='*')[source]¶

Form request URL to download station inventory in stationxml format, down to channel level, with the given filters applied to network codes, station codes and channel codes.

Parameters

netmask – Pattern of network codes to match, comma separated with wildcards, defaults to “*”
netmask – str, optional
statmask – Pattern of station codes to match, comma separated with wildcards, defaults to “*”
statmask – str, optional
chanmask – Pattern of channel codes to match, comma separated with wildcards, defaults to “*”
chanmask – str, optional

Returns

Fully formed URL to perform IRIS query and get back FDSN station XML result.

Return type

str

seismic.inventory.iris_query.form_response_request_url(netmask, statmask, chanmask)[source]¶

Form request URL to download station inventory in stationxml format, down to response level, for the given network, station and channel codes.

Parameters

netmask – Pattern of network codes to match, comma separated with wildcards
netmask – str, optional
statmask – Pattern of station codes to match, comma separated with wildcards
statmask – str, optional
chanmask – Pattern of channel codes to match, comma separated with wildcards
chanmask – str, optional

Returns

Fully formed URL to perform IRIS query and get back FDSN station XML result.

Return type

str

seismic.inventory.iris_query.set_text_encoding(resp, quiet=False)[source]¶

For the given response object, set its encoding from the contents of the text returned from server.

Parameters: resp (requests.Response) – Query response object returned by response.get()

seismic.inventory.pdconvert module¶

Helper functions for converting between Pandas dataframe and FDSN Inventory, Network, Station and Channel objects.

seismic.inventory.pdconvert.dataframe_to_fdsn_station_xml(inventory_df, nominal_instruments, filename, show_progress=True)[source]¶

Export dataframe of station metadata to FDSN station xml file

Parameters

inventory_df (pandas.DataFrame conforming to table_format.TABLE_SCHEMA) – Dataframe containing all the station records to export.
nominal_instruments ({str: Instrument(obspy.core.inventory.util.Equipment, obspy.core.inventory.response.Response) }) – Dictionary mapping from channel code to nominal instrument characterization
filename (str or path) – Output filename

seismic.inventory.pdconvert.dataframe_to_network(netcode, network_df, instrument_register, progressor=None)[source]¶

Convert Pandas dataframe with unique network code to obspy Network object.

Parameters

netcode (str) – Network code
network_df (pandas.DataFrame conforming to table_format.TABLE_SCHEMA) – Dataframe containing records for a single network code.
instrument_register – Dictionary of nominal instrument responses indexed by channel code, defaults to None
instrument_register – dict of {str, Instrument(obspy.core.inventory.util.Equipment, obspy.core.inventory.response.Response)}, optional
progressor – Progress bar functor to receive progress updates, defaults to None
progressor – Callable object receiving incremental update on progress, optional

Returns

Network object containing the network information from the dataframe

Return type

obspy.core.inventory.network.Network

seismic.inventory.pdconvert.inventory_to_dataframe(inv_object, show_progress=True)[source]¶

Convert a obspy Inventory object to a Pandas Dataframe.

Parameters

inv_object (obspy.core.inventory.inventory.Inventory) – Obspy inventory object to convert to dataframe
show_progress – Whether to use a progress bar, defaults to True
show_progress – bool, optional

Returns

Pandas Dataframe with sequential integer index and sorted by [NetworkCode, StationCode]. Only populates entries for non-empty channels.

Return type

pandas.DataFrame conforming to table_format.TABLE_SCHEMA

seismic.inventory.plotting module¶

Helper functions for plotting FDSN Network objects.

seismic.inventory.plotting.save_network_local_plots(df, plot_folder, progressor=None, include_stations_list=True)[source]¶

Save visual map plot per network, saved to file netcode.png.

Parameters

df (pandas.DataFrame conforming to table_format.TABLE_SCHEMA) – Dataframe of station records to save.
plot_folder (str) – Name of output folder
progressor – Progress bar functor to receive progress updates, defaults to None
progressor – Callable object receiving incremental update on progress, optional
include_stations_list – If True, also export stationtxt file alongside each png file, defaults to True
include_stations_list – bool, optional

seismic.inventory.plotting.save_station_local_plots(df, plot_folder, progressor=None, include_stations_list=True)[source]¶

Save visual map plot per station, saved to file netcode.stationcode.png.

Parameters

df (pandas.DataFrame conforming to table_format.TABLE_SCHEMA) – Dataframe of station records to save.
plot_folder (str) – Name of output folder
progressor – Progress bar functor to receive progress updates, defaults to None
progressor – Callable object receiving incremental update on progress, optional
include_stations_list – If True, also export stationtxt file alongside each png file, defaults to True
include_stations_list – bool, optional

seismic.inventory.response module¶

Description:: Implements a Class for reading/storing responses from a number of sources. The ResponseFactory class is used for attaching ‘bogus’ responses to station inventories that lack them.

References:

CreationDate: 14/02/19

Developer: rakib.hassan@ga.gov.au

Revision History:: LastUpdate: 14/02/19 RH LastUpdate: dd/mm/yyyy Who Optional description

class seismic.inventory.response.ResponseFactory[source]¶

Bases: object

The ResponseFactory class encapsulates the generation of a collection of named Instrument Response Objects from a variety of sources. Currently it provides the facility to create Response objects from two sources, namely, Poles and Zeroes supplied by the user and from StationXML files generated from RESP files using the PDCC tool (link below). The conversion of RESP files into a corresponding StationXML file, at this stage, must take place externally, because ObsPy lacks that functionality. The intended usage of this class during the creation of an ASDF dataset is as follows:

1. User creates a number of uniquely named Response objects (see associated tests as well) pertaining to different
   channels in a given survey.
2. User fetches these Response objects from an instance of ResponseFactory as needed, while creating ObsPy Channel
   objects, during which Response objects can be passed in as an argument.
3. User builds a hierarchy of channel->station->network inventories, with the appropriate instrument response
   information embedded
4. The master FDSN StaionXML file output after step 3 can then be converted into an SC3ML file (which can be ingested
   by SeisComp3) using the fdsnxml2inv tool.

PDCC tool: https://ds.iris.edu/ds/nodes/dmc/software/downloads/pdcc/

CreateFromInventory(name, obspy_inventory)[source]¶

Create response from an Inventory

Parameters

name (str) – Name of the response for later retrieval
obspy_inventory (obspy.core.inventory.inventory.Inventory) – Inventory from which to extract response

CreateFromPAZ(name, pzTransferFunctionType, normFactor, normFreq, stageGain, stageGainFreq, poles, zeros)[source]¶

CreateFromStationXML(name, respFileName)[source]¶

Create response from an XML file

Parameters

name (str) – Name of the response for later retrieval
respFileName (str) – XML file to load

class ResponseFromInventory(source_inventory)[source]¶

Bases: object

Helper class to get Obspy Response object from an Inventory

Raises: RuntimeError – Raises error if response not found

class ResponseFromPAZ(pzTransferFunctionType='LAPLACE (RADIANS/SECOND)', normFactor=80000.0, normFreq=0.01, stageGain=2000.0, stageGainFreq=0.01, poles=[0j], zeros=[0j])[source]¶: Bases: object

class ResponseFromStationXML(respFileName)[source]¶

Bases: seismic.inventory.response.ResponseFactory.ResponseFromInventory

Helper class to get Obspy Response object from a station xml file

getResponse(name)[source]¶

Retrieve response by name

Parameters: name (str) – Name given to response at creation time
Raises: RuntimeError – Raises error if name is not recognized
Returns: The requested response
Return type: obspy.core.inventory.response.Response

seismic.inventory.table_format module¶

Common format for Pandas Dataframe column ordering of Network, Station and Channel metadata.

seismic.inventory.update_iris_inventory module¶

Automatically update IRIS-ALL.xml file from IRIS web portal.

Outout file is saved as FDSN station xml. Script also generates human readable form as IRIS-ALL.txt.

Example usages:¶

python update_iris_inventory.py

python update_iris_inventory.py -o outfile.xml

python update_iris_inventory.py –netmask=U* –statmask=K*

python update_iris_inventory.py –netmask=UW,LO –output outfile.xml

seismic.inventory.update_iris_inventory.cleanup(tmp_filename)[source]¶

Helper function to clean up temporary file on disk.

Parameters: tmp_filename (str) – File name to clean up

seismic.inventory.update_iris_inventory.regenerate_human_readable(iris_data, outfile)[source]¶

Generate human readable, tabular version of the IRIS database.

Parameters

iris_data (str) – String containing result string returned from IRIS query (without data errors).
outfile (str) – Output text file name

seismic.inventory.update_iris_inventory.repair_iris_metadata(iris)[source]¶

Perform text subtitutions to fix known errors in station xml returned from IRIS.

Parameters: iris (requests.models.Response) – Response to IRIS query request containing response text
Returns: The text from the response with known faulty data substituted with fixed data.
Return type: str (Python 3) or unicode (Python 2)

seismic.inventory.update_iris_inventory.update_iris_station_xml(req, output_file, options=None)[source]¶

Pull the latest IRIS complete station inventory (down to station level, not including instrument responses) from IRIS web service and save to file in FDSN station xml format.

Parameters

req (Object conforming to interface of 'requests' library) – Request object to use for URI query
output_file (str) – Destination file to generate
options – Filtering options for network, station and channel codes, defaults to None
options – Python dict of key-values pairs matching command line options, optional

seismic.inventory package¶

Subpackages¶

Submodules¶

seismic.inventory.add_time_corrections module¶

seismic.inventory.engd2stxml module¶

Engdahl and ISC STN data conversion to FDSN station XML¶

seismic.inventory.fdsnxml_convert module¶

seismic.inventory.generate_network_plots module¶

seismic.inventory.inventory_merge module¶

seismic.inventory.inventory_split module¶

seismic.inventory.inventory_util module¶

seismic.inventory.iris_query module¶

seismic.inventory.pdconvert module¶

seismic.inventory.plotting module¶

seismic.inventory.response module¶

seismic.inventory.table_format module¶

seismic.inventory.update_iris_inventory module¶

Example usages:¶

Module contents¶

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