sys.path.append( os.environ['ANTELOPE'] + '/data/python' ) import antelope.datascope as datascope Procedural Functions: db = datascope.dbopen (dbname, perm="r") db = datascope.dbopen_table (dbname, perm="r") rc = datascope.dbclose (db) rc = datascope.dbdelete (db) rc = datascope.dbmark (db) rc = datascope.dbcrunch (db) rc = datascope.dbtruncate (db, nrecords) rc = datascope.dbdestroy (tr) db = datascope.dbtmp (schema) rc = datascope.dbcreate (filename, schema, dbpath = None, description = None, detail = None) rc = datascope.dbfree (db) db = datascope.dblookup (db, database = '', table = '', field = '', record = '') db = datascope.dbsubset (db, expr, name = None) db = datascope.dblist2subset (db, list = None) db = datascope.dbseparate (db, tablename) db = datascope.dbsever (db, tablename, name = None) val = datascope.dbex_eval (db, expr, type = 0) path = datascope.dbextfile (db, tablename = None) path = datascope.dbfilename (db) rc = datascope.dbfind (db, expr, first = -1, reverse = False) rows = datascope.dbmatches (dbk, dbt, hookname, kpattern = None, tpattern = None) db = datascope.dbprocess (db, list) db = datascope.dbinvalid () db = datascope.dbsort (db, keys, unique = False, reverse = False, name = None) db = datascope.dbjoin (db1, db2, pattern1 = None, pattern2 = None, outer = False, name = None) db = datascope.dbnojoin (db1, db2, pattern1 = None, pattern2 = None, name = None) db = datascope.dbtheta (db1, db2, ex_str, outer = False, name = None) rc = datascope.dbunjoin (db, database_name, rewrite = False) db = datascope.dbgroup (db, groupfields, name = None, type = 1) db = datascope.dbungroup (db, name = None) (s,e) = datascope.dbget_range (db) xml = datascope.db2xml (db, rootnode = None, rownode = None, fields = None, expressions = None, primary = False) rc = datascope.dbaddnull (db) rc = datascope.dbaddv (db, field, value [, field, value...], table = None) rec = datascope.dbget (db, scratch = None) rc = datascope.dbput (db, record = None ) rc = datascope.dbadd (db, record = None ) vals = datascope.dbgetv (db, field [, field...], table = None) rc = datascope.dbputv (db, field, value [, field, value...], table = None) res = datascope.dbquery (db, code) id = datascope.dbnextid (db, name) rc = datascope.trfilter (tr, filter_string) ((t,v),(t,v),...) = datascope.trsample (db, t0, t1, sta, chan, apply_calib = False, filter = None) ((t,min,max),(t,min,max),...) = datascope.trsamplebins (db, t0, t1, sta, chan, binsize, apply_calib = False, filter = None) tr = datascope.trloadchan (db, t0, t1, sta, chan) tr = datascope.trload_css (db, t0, t1, tr = None, table = None) tr = datascope.trload_cssgrp (db, t0, t1, tr = None, table = None) rc = datascope.trapply_calib (tr) data = datascope.trdata (tr) ((min,max),(min,max),...) = datascope.trdatabins (tr, binsize) rc = datascope.trputdata (tr, data) rc = datascope.trrotate (tr, phi_deg, theta_deg, newchan) rc = datascope.trrotate_to_standard (tr, newchan = ('E','N','Z')) rc = datascope.trsplice (tr) (rc, units, desc) = datascope.trlookup_segtype (segtype) (rc, path) = datascope.trwfname (db, pattern) rc = datascope.trtruncate (tr, leave) rc = datascope.trfree (tr) rc = datascope.trdestroy (tr) rc = datascope.trsplit (tr) rc = datascope.trsave_wf (tr, db, datatype = None, wfname = None, append = False, overwrite = False) trout = datascope.trcopy (trin, trout = None) Object-Oriented Methods: db = Dbptr() db = Dbptr(list) db = Dbptr(path) db = Dbptr(path, perm) db = Dbptr(value=list) db = Dbptr(dbname=path) db = Dbptr(dbname=path, perm='r') db.database db.table db.field db.record db[0], db[1], db[2], db[3] db.addnull () db.addv (...) db.close () db.crunch () db.dbdestroy () db.delete () db.ex_eval (...) db.extfile (...) db.filename () db.find (...) db.free () db.get (...) db.getrange () db.getv (...) db.group (...) db.invalid () db.join (...) db.list2subset (...) db.load_css (...) db.load_cssgrp (...) db.loadchan (...) db.lookup (...) db.mark () db.matches (...) db.nextid (...) db.nojoin (...) db.nrecs () db.process (...) db.put (...) db.putv (...) db.query (...) db.sample (...) db.samplebins (...) db.separate (...) db.sever (...) db.sort (...) db.subset (...) db.theta (...) db.trtruncate (...) db.truncate (...) db.trwfname (...) db.ungroup (...) db.unjoin (...) db.xml (...) tr.apply_calib () tr.data () tr.databins () tr.filter (...) tr.rotate (...) tr.rotate_to_standard (...) tr.save_wf (...) tr.splice () tr.split () tr.trcopy (...) tr.trdestroy () tr.trfree ()
>>> db = datascope.dbopen( '/opt/antelope/data/db/demo/demo','r') >>> db [Dbptr: database = 0 table = -501 field = -501 record = -501 ] >>> db.record -501 >>> db[3] -501 >>> db['record'] -501 >>>
db = datascope.dbopen( database, "r+" ) or db = datascope.dbopen( database )
db = datascope.dbopen_table( database, "r+" ) or db = datascope.dbopen_table( database )
datascope.dbclose( db ) or db.close()
datascope.dbfree( db ) or db.free()
datascope.dbdestroy( db ) or db.dbdestroy()
datascope.dbcreate(database_name)
db = datascope.dbtmp(schema)
datascope.dbdelete( db ) or db.delete()
db = datascope.dbinvalid( db ) or db.invalid()
datascope.dbmark( db ) or db.mark()
datascope.dbcrunch( db ) or db.crunch()
datascope.dbtruncate( db, nrecords )
datascope.trtruncate( db, leave )
db = datascope.dblookup( db, '', 'origin', '', '' ) or db.lookup( '', 'origin', '', '' ) or db.lookup( table='origin' )
db = datascope.dbsubset( db, "orid == 645" ) or db.subset( "orid == 645" )
db = datascope.dblist2subset( db, rownumber_list ) or db.list2subset( rownumber_list )
db = datascope.dbsort( db, 'time' ) or db.sort( 'time' )
db = datascope.dbgroup( db, groupfields ) or db.group( groupfields )
(first, last) = datascope.dbget_range(db) or (first, last) = db.get_range()
db = datascope.dbungroup( db ) or db.ungroup()
db = datascope.dbjoin( db1, db2 ) or db1.join( db2 ) or db1.join( 'assoc' )
datascope.dbunjoin( db, database_name ) or db.unjoin( database_name )
db = datascope.dbtheta( db1, db2, expr ) or db1.theta( db2, expr ) or db1.theta( 'assoc', expr )
db = datascope.dbnojoin( db1, db2 ) or db1.nojoin( db2 ) or db1.nojoin( 'assoc' )
db = datascope.dbseparate( db, 'origin' ) or db.separate( 'origin' )
db = datascope.dbsever( db, 'origin' ) or db.sever( 'origin' )
db = datascope.dbprocess( db, cmdlist ) or db.process( cmdlist )
value = datascope.dbget( db ) or value = db.get()
datascope.dbput( db ) or db.put()
datascope.dbadd( db ) or db.add()
values = datascope.dbgetv( db, 'lat', 'lon' ) or values = db.getv( 'lat', 'lon' )
datascope.dbaddv( db, 'origin', 'lat', 61,.5922, 'lon', -149.130 ) or db.addv( 'origin, 'lat', 61.5922, 'lon', -149.130 )
datascope.dbputv( db, 'lat', 61,.5922, 'lon', -149.130 ) or db.putv( 'lat', 61.5922, 'lon', -149.130 )
record_num = datascope.dbaddnull( db ) or db.addnull()
fname = datascope.dbextfile( db ) or fname = db.extfile()
fname = datascope.dbfilename( db ) or fname = db.filename()
nrecs = datascope.dbquery( db, dbRECORD_COUNT ) or nrecs = db.query( dbRECORD_COUNT )
nrecs = datascope.dbnrecs( db ) or nrecs = db.nrecs()
arid = datascope.dbnextid( db, 'arid' ) or arid = db.nextid( 'arid' )
result = datascope.dbex_eval( db, expr ) or result = db.ex_eval( expr )
resultlist = datascope.dbmatches( db, dbt, hookname ) or resultlist = db.matches( db, dbt, hookname )
record = datascope.dbfind( db, expr ) or record = db.find( expr )
xmlstring = datascope.db2xml( db ) or xmlstring = db.xml( db )
fname = datascope.trwfname( db, pattern ) or fname = db.trwfname( pattern )
v = datascope.trsample(db, 706139719.05000, 706139855.95000, "TKM", "BHZ", True) or v = db.sample(706139719.05000, 706139855.95000, "TKM", "BHZ", True)
v = datascope.trsamplebins(db, 706139719.05000, 706139855.95000, "TKM", "BHZ", 50, True) or v = db.samplebins(706139719.05000, 706139855.95000, "TKM", "BHZ", 50, True)
tr = datascope.trloadchan( db, 706139719.05000, 706139855.95000, "TKM", "BHZ" ) or tr = db.loadchan( 706139719.05000, 706139855.95000, "TKM", "BHZ" )
tr = datascope.trload_css( db, 706139719.05000, 706139855.95000 ) or tr = db.load_css( 706139719.05000, 706139855.95000 )
tr = datascope.trload_cssgrp( db, 706139719.05000, 706139855.95000 ) or tr = db.load_cssgrp( 706139719.05000, 706139855.95000 )
tr = datascope.trfilter(tr, filter_string) or v = tr.filter( filter_string)
datascope.trapply_calib( tr ) or tr.apply_calib()
v = datascope.trdata( tr ) or v = tr.data()
v = datascope.trdatabins( tr, binsize ) or v = tr.databins( binsize )
rc = datascope.trputdata( tr, data ) or rc = tr.putdata( data )
phi_deg = 45 theta_deg = -75 newchan = ( "A", "B", "C" ) datascope.trrotate( tr, phi_deg, theta_deg, newchan ) or tr.rotate( phi_deg, theta_deg, newchan )
datascope.trrotate_to_standard( tr ) or newchan = ( "A", "B", "C" ) datascope.trrotate_to_standard( tr, newchan ) or tr.rotate_to_standard() or newchan = ( "A", "B", "C" ) tr.rotate_to_standard( newchan )
datascope.trsplice( tr ) or tr.splice()
datascope.trsplit( tr ) or tr.split()
trout = datascope.trcopy(trin) or trout = trin.trcopy()
datascope.trsave_wf(tr, db) or tr.save_wf(db)
datascope.trfree(tr) or tr.trfree()
datascope.trdestroy(tr) or tr.trdestroy()
datascope.dbALL datascope.dbALTERNATE_KEY datascope.dbBDOUBLE datascope.dbBFLOAT datascope.dbBINT datascope.dbBOOLEAN datascope.dbBSHORT datascope.dbCOUNT datascope.dbDATABASE_COUNT datascope.dbDATABASE_DESCRIPTION datascope.dbDATABASE_DETAIL datascope.dbDATABASE_FILENAME datascope.dbDATABASE_FILES datascope.dbDATABASE_IS_WRITABLE datascope.dbDATABASE_IS_WRITEABLE datascope.dbDATABASE_NAME datascope.dbDBPATH datascope.dbDBPTR datascope.dbDESCRIPTION datascope.dbDETAIL datascope.dbFIELD_BASE_TABLE datascope.dbFIELD_COUNT datascope.dbFIELD_DESCRIPTION datascope.dbFIELD_DETAIL datascope.dbFIELD_FORMAT datascope.dbFIELD_INDEX datascope.dbFIELD_NAME datascope.dbFIELD_RANGE datascope.dbFIELD_SEPARATOR datascope.dbFIELD_SIZE datascope.dbFIELD_TABLES datascope.dbFIELD_TYPE datascope.dbFIELD_UNITS datascope.dbFOREIGN_KEYS datascope.dbFORMAT datascope.dbIDSERVER datascope.dbINTEGER datascope.dbINVALID datascope.dbLASTIDS datascope.dbLINK datascope.dbLINK_FIELDS datascope.dbLOCKS datascope.dbNAME datascope.dbNULL datascope.dbOUTER_JOIN datascope.dbPRIMARY_KEY datascope.dbREAL datascope.dbRECORD_COUNT datascope.dbRECORD_SEPARATOR datascope.dbRECORD_SIZE datascope.dbRESPONSE datascope.dbSCHEMA_DEFAULT datascope.dbSCHEMA_DESCRIPTION datascope.dbSCHEMA_DETAIL datascope.dbSCHEMA_FIELDS datascope.dbSCHEMA_LIST datascope.dbSCHEMA_NAME datascope.dbSCHEMA_TABLES datascope.dbSCRATCH datascope.dbSIZE datascope.dbSORT_REVERSE datascope.dbSORT_UNIQUE datascope.dbSTRING datascope.dbTABLE_ADDRESS datascope.dbTABLE_COUNT datascope.dbTABLE_CREATION datascope.dbTABLE_DESCRIPTION datascope.dbTABLE_DETAIL datascope.dbTABLE_DIRNAME datascope.dbTABLE_FIELDS datascope.dbTABLE_FILENAME datascope.dbTABLE_IS_ADDABLE datascope.dbTABLE_IS_TRANSIENT datascope.dbTABLE_IS_VIEW datascope.dbTABLE_IS_WRITABLE datascope.dbTABLE_IS_WRITEABLE datascope.dbTABLE_NAME datascope.dbTABLE_PRESENT datascope.dbTABLE_SIZE datascope.dbTIME datascope.dbTIMEDATE_NAME datascope.dbTYPE datascope.dbUNIQUE_ID_NAME datascope.dbVIEW_TABLE_COUNT datascope.dbVIEW_TABLES datascope.dbWAVEFORM datascope.dbYEARDAY datascope.strEXPR datascope.strFIELD datascope.strINTEGER datascope.strNULL datascope.strREAL datascope.strSTRING datascope.strTIME datascope.strUNKNOWN
import sys import os import pylab sys.path.append( os.environ['ANTELOPE'] + '/data/python' ) from antelope.datascope import * db = dbopen( "/opt/antelope/data/db/demo/demo", "r" ) tr = trloadchan( db, 706139719.05000, 706139855.95000, "TKM", "BHZ" ) tr[3] = 0 v = trdata( tr ) pylab.plot(v) pylab.savefig('dataplot.png',dpi=100) os.system( "open dataplot.png" )
antelope_python(3y), pythondatascope_raw(3y)
Kent Lindquist