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seismic_spectrogram.wpu
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#!wing
#!version=7.0
##################################################################
# Wing project file : User-specific branch #
##################################################################
[user attributes]
debug.err-values = {None: {}}
debug.show-args-dialog = {loc('generate_spectrograms.py'): False}
guimgr.overall-gui-state = {'windowing-policy': 'combined-window',
'windows': [{'name': 'fses9f4Ql5Wma7zl9Z57yzFsVP'\
'P14rNP',
'size-state': '',
'type': 'dock',
'view': {'area': 'tall',
'constraint': None,
'current_pages': [0,
2],
'full-screen': False,
'notebook_display': 'normal',
'notebook_percent': 0.18287037037037035,
'override_title': None,
'pagelist': [('project',
'tall',
0,
{'tree-state': {'file-sort-method': 'by name',
'list-files-first': False,
'tree-states': {'deep': {'expanded-nodes': [(1,),
(2,),
(2,
0)],
'selected-nodes': [(7,)],
'top-node': (0,)}},
'tree-style': 'deep'}}),
('snippets',
'tall',
0,
{}),
('browser',
'tall',
0,
{'all_tree_states': {u'By Module': {'expanded'\
'-nodes': [],
'selected-nodes': [],
'top-node': None}},
'browse_mode': u'By Module',
'follow-selection': False,
'sort_mode': 'Alphabetically',
'visibility_options': {u'Derived Classes': False,
u'Imported': False,
u'Modules': True}}),
('refactoring',
'tall',
0,
{}),
('debug-stack',
'tall',
1,
{'codeline-mode': 'below'}),
('indent',
'tall',
2,
{}),
('source-assistant',
'tall',
2,
{})],
'primary_view_state': {'area': 'wide',
'constraint': None,
'current_pages': [1,
1],
'notebook_display': 'normal',
'notebook_percent': 0.2441767068273092,
'override_title': None,
'pagelist': [('debug-breakpoints',
'wide',
0,
{}),
('debug-exceptions',
'wide',
0,
{}),
('interactive-search',
'wide',
0,
{'fScope': {'fFileSetName': 'All Source Files',
'fLocation': None,
'fRecursive': True,
'fType': 'project-files'},
'fSearchSpec': {'fEndPos': None,
'fIncludeLinenos': True,
'fInterpretBackslashes': False,
'fMatchCase': False,
'fOmitBinary': True,
'fRegexFlags': 42,
'fReplaceText': '',
'fReverse': False,
'fSearchText': u'sampleR',
'fStartPos': 0,
'fStyle': 'text',
'fWholeWords': False,
'fWrap': True},
'fUIOptions': {'fAutoBackground': True,
'fFilePrefix': 'short-file',
'fFindAfterReplace': True,
'fInSelection': False,
'fIncremental': True,
'fReplaceOnDisk': False,
'fShowFirstMatch': False,
'fShowLineno': True,
'fShowReplaceWidgets': False}}),
('batch-search',
'wide',
0,
{'fScope': {'fFileSetName': 'All Source Files',
'fLocation': None,
'fRecursive': True,
'fType': 'documentation'},
'fSearchSpec': {'fEndPos': None,
'fIncludeLinenos': True,
'fInterpretBackslashes': False,
'fMatchCase': False,
'fOmitBinary': True,
'fRegexFlags': 42,
'fReplaceText': u'',
'fReverse': False,
'fSearchText': u'running ltsva',
'fStartPos': 0,
'fStyle': 'text',
'fWholeWords': False,
'fWrap': True},
'fUIOptions': {'fAutoBackground': True,
'fFilePrefix': 'short-file',
'fFindAfterReplace': True,
'fInSelection': False,
'fIncremental': True,
'fReplaceOnDisk': False,
'fShowFirstMatch': False,
'fShowLineno': True,
'fShowReplaceWidgets': False},
'replace-entry-expanded': False,
'search-entry-expanded': False}),
('debug-data',
'wide',
0,
{}),
('testing',
'wide',
0,
{'added-files': [],
'filter': u'',
'recent-filters': None,
'sort-order': 'alpha',
'tree-state': {'expanded-nodes': [],
'selected-nodes': [],
'top-node': (0,)}}),
('bookmarks',
'wide',
1,
{'filter-text': ''}),
('debug-io',
'wide',
1,
{}),
('debug-probe',
'wide',
2,
{'active-range': (None,
-1,
-1),
'attrib-starts': [],
'code-line': " 'SampleRate': '1.0',\n",
'first-line': 6959L,
'folded-linenos': [],
'history': {None: ['stream\n',
'stream * 5\n',
'print(stream *5)\n',
'for trace in stream:\n trace.data *= 5\n\n',
'resp.text\n',
'meta[channel]\n',
'meta\n',
'zip(keys, line)\n',
'line\n',
'keys\n',
'dict(zip(keys, line))\n',
"wclient.get_availability(network = '*', station = STA)\n",
'print(stream)\n',
'len(stream)\n',
'stream.count\n',
'stream.count()\n',
'tr_test = stream[0]\n',
'tr_test.count()\n',
'[z_data, n_data, e_data]\n',
'numpy.asarray[z_data, n_data, e_data]\n',
'numpy.asarray([z_data, n_data, e_data]).any()\n',
'numpy.asarray([z_data, n_data, e_data]).all()\n',
'stream.traces[0].get_id\n',
'stream.traces[0].get_id()\n',
'import os\n',
'os.dirname(__file__)\n',
'os.path.dirname(__file__)\n',
"os.path.join(os.path.dirname(__file__), 'VolcSeismo.R')\n",
"base.source(os.path.join(os.path.dirname(__file__), 'VolcSeismo.R')"\
")\n"],
u'file:/Applications/WingPro.app/Contents/Resources/updates/7.2.7.0/src/testing/runners/run_pytest_xml.py': ['f'\
'type\n',
"f.attrs.get('ident_attr')\n",
'for key, value in f.attrs.items():\n print(key, " : ", value)\n\n',
"f.attrs.get('sensor')\n",
'f.attrs.get(ident_attr)\n',
'f.attrs.get(ident_attr) == ident_val\n',
"f.attrs.get(ident_attr) == ident_val.encode('utf-8')\n"],
u'file:/Users/israel/Development/seismic_spectrogram/gen_station_config.py': ["z"\
"_chan = [chan in channels if chan[-1] == 'Z']\n",
"z_chan = [chan for chan in channels if chan[-1] == 'Z']\n",
'z_chan\n',
'wclient.get_availability(network=NET, channel = CHANNEL_MASK)\n',
"wclient.get_availability(network='AV', channel = CHANNEL_MASK)\n",
"test = wclient.get_availability(network='AV', channel = CHANNEL_MAS"\
"K)\n",
'test\n',
'len(test)\n',
"URL = 'https://service.iris.edu/fdsnws/station/1/query?'\n",
'import requests\n',
"URL = 'https://service.iris.edu/fdsnws/station/1/query?net=AV&cha=["\
"SB]HZ'\n",
'resp = requests.get(URL)\n',
"URL = 'https://service.iris.edu/fdsnws/station/1/query'\n",
"resp = requests.get(URL, {'net': 'AV'})\n",
'from io import StringIO\n',
'import csv\n',
"resp = requests.get(URL, {'net': 'AV', 'level': 'channel','type': ,"\
"})\n",
"resp = requests.get(URL, {'net': 'AV', 'level': 'channel','type': '"\
"text',})\n",
"resp = requests.get(URL, {'net': 'AV', 'level': 'channel','format':"\
" 'text',})\n",
'resp.status_code\n',
'resp_str = StringIO(resp.text)\n',
"reader = csv.reader(resp_str, delimiter = '|')\n",
'keys = [x.strip() for x in next(reader)]\n',
'keys\n',
'len(av_nets)\n',
"net_av = ['AV'] * len(av_nets)\n",
"av_nets['network'] = net_av\n",
'av_nets\n',
'av_channels\n',
'av_nets.append(ak_nets, ignore_index = True)\n',
'ak_nets\n',
'ak_channels\n',
'ak_meta\n',
"ak_meta['M26K']\n",
'ak_avail\n',
"[x for x in ak_avail if x[1] =='M26K'] \n",
'make_net_dict(ak_avail, ak_meta)\n',
'len(av_channels)\n',
'len(ak_channels)\n',
'138 + 27\n',
'len(av_avail)\n',
'len(ak_avail)\n',
'149 + 27\n',
'all_nets.station\n',
'for sta in all_nets.station:\n if not sta in all_channels:\n '\
' print(sta)\n\n',
"all_nets.duplicated('station')\n",
"all_nets.duplicated('station').any()\n",
"all_nets.duplicated('station', False).any()\n",
"all_nets.loc[all_nets.duplicated('station', False)]\n",
'len(all_channels)\n',
'len(all_nets)\n',
'all_channels\n',
'haversine_np(lon1, lat1, all_nets.longitude.data, all_nets.latitude'\
'.data)\n',
'haversine_np(lon1, lat1, all_nets.longitude.to_numpy(), all_nets.la'\
'titude.to_numpy())\n',
'lon2\n',
'lon2.to_numpy()\n',
'lon2.to_numpy().as_type(float)\n',
'lon2.to_numpy().astype(float)\n',
'lon2.astype(float)\n',
'all_nets\n',
'avail_nets\n',
'item\n',
'last_data = item[5]\n',
'from obspy import UTCDateTime\n',
'last_data_age = (UTCDateTime() - last_data) / 1000\n',
'last_data_age = (UTCDateTime() - last_data) / 1000 / 60\n',
'last_data\n',
'last_data.day\n',
'last_data_age = (UTCDateTime() - last_data) / 60\n',
'last_data_age = (UTCDateTime() - last_data) / 60 / 60\n',
'last_data_age = (UTCDateTime() - last_data) / 60 / 60 / 24\n',
'last_data_age\n',
"all_nets.sort_values('dist').head(MAX_STATIONS)\n",
'net\n',
'net.station\n',
'net.net\n'],
u'file:/Users/israel/Development/seismic_spectrogram/generate_spectrograms.py': ['S'\
'TARTTIME + 2.1\n',
'times + STARTTIME\n',
'STARTTIME + times\n',
'STARTTIME.timestamp()\n',
'times + STARTTIME.timestamp\n',
'from datetime import datetime\n',
'numpy.datetime64(times + STARTTIME.timestamp)\n',
'(times + STARTTIME.timestamp).astype(numpy.datetime64)\n',
"(times + STARTTIME.timestamp).astype('datetime64[s]')\n",
"test = (times + STARTTIME.timestamp).astype('datetime64[s]')\n",
"test = (times + STARTTIME.timestamp).astype('datetime64[ms]')\n",
"test = (times + STARTTIME.timestamp).astype('datetime64[ns]')\n",
"test = ((times + STARTTIME.timestamp) * 1000).astype('datetime64[ns"\
"]')\n",
"test = ((times + STARTTIME.timestamp) * 10000).astype('datetime64[n"\
"s]')\n",
"test = ((times + STARTTIME.timestamp) * 10000).astype('datetime64[m"\
"s]')\n",
"test = ((times + STARTTIME.timestamp) * 100).astype('datetime64[ms]"\
"')\n",
"test = ((times + STARTTIME.timestamp) * 1000).astype('datetime64[ms"\
"]')\n",
'test\n',
'for val in test[:5]:\n print(val)\n\n',
'spec_info[0]\n',
'spec_info[0].shape\n',
'spec_info[1].shape\n',
'spec_info[1]\n',
'STARTTIME.timestamp\n',
'get_epoch()\n',
"np.timedelta64(int(np.round(x * MUSECONDS_PER_DAY)), 'us')\n",
'x\n',
'plot_times\n',
'times\n',
"plot_times.astype('timestamp64')\n",
"plot_times.astype(64')\n",
"plot_times.astype('datetime64')\n",
"plot_times.astype('datetime64[s]')\n",
'tr.count()\n',
'tr.meta\n',
'for item in tr.meta.values():\n print(item)\n\n',
'for item in tr.meta.items():\n print(item)\n\n',
'from obspy.clients.fdsn import Client, header\n',
'client = Client("IRIS")\n',
'reader\n',
'keys = reader[0]\n',
'keys = next(reader)\n',
'keys\n',
'values = next(reader)\n',
'dict(zip(keys, values))\n',
"float(meta['Scale'])\n",
'spec_info[2][50]\n',
'spec_info[2]\n',
'spec_info[2][50][50]\n',
'numpy.log10(spec_info[2])[50][50]\n',
'numpy.log10(spec_info[2])[50][50] *.02\n',
'numpy.log10(spec_info[2])[50][50] *.002\n',
'numpy.log10(spec_info[2])[50][50] *.00002\n',
'numpy.log10(spec_info[2])[50][50] *.0000002\n',
'meta\n',
'data2\n',
'data\n',
'data2.mean()\n',
'future.result()\n',
"config['GLOBAL'].get('minutesperimage', 10)\n",
'stream[0]\n',
'stream[0].times()\n',
'stream[0].count\n',
'stream[0].times().count\n',
'stream[0].times().size\n',
'z_tr\n',
'z_tr.stats.channel\n',
'z_tr.id\n',
'stream[0].count()\n',
"stream.select(component = 'Z')\n",
"st = stream.select(component = 'Z')\n",
'st.count()\n',
'print(st)\n',
'st.get_gaps()\n',
"st.merge(fill_value = 'latest')\n",
"st2 = st.merge(fill_value = 'latest')\n",
"st2 = st.merge(method = 1, fill_value = 'latest', interpolation_sam"\
"ples = -1)\n",
'print(st2)\n',
'numpy.asarray([z_data, n_data, e_data])\n',
'[\n numpy.asarray(z_data),\n numpy.asarray(n_data),\n'\
' numpy.asarray(e_data)\n ]\n\n',
'numpy.asarray([\n numpy.asarray(z_data),\n numpy.asar'\
'ray(n_data),\n numpy.asarray(e_data)\n ])\n\n',
'numpy.asarray([\n numpy.asarray(z_data),\n numpy.asar'\
'ray(n_data),\n numpy.asarray(e_data)\n ]).any()\n\n',
'numpy.asarray([\n numpy.asarray(z_data).size,\n numpy'\
'.asarray(n_data).size,\n numpy.asarray(e_data).size\n ]).'\
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"print(stream.select(component = 'Z')[0].times().size)\n",
"print(stream.select(component = 'Z')[0].count())\n",
'z_tr.count()\n',
'z_data.size\n',
'waveform_times.size()\n',
'waveform_times.size\n',
'stream[0].id\n',
'stream.count()\n',
'stream.trim(STARTTIME, ENDTIME)\n',
'print(stream.trim(STARTTIME, ENDTIME))\n',
'print(stream.trim(STARTTIME -PAD, ENDTIME + PAD, pad = None))\n',
'stream\n',
'print(stream)\n',
'print(stream.trim(STARTTIME -PAD, ENDTIME + PAD, pad = True))\n'],
u'file:/Users/israel/Development/seismic_spectrogram/station_config.py': ['a'\
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u'file:/Users/israel/Development/tropomi_gui/SO2 Explorer.py': ['q'\
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'self.displayed_plot.childrenShape\n',
'self.displayed_plot.childrenShape()\n',
'self.displayed_plot.data()\n',
'self.displayed_plot.data\n',
'self.displayed_plot.data.shape\n',
'self.displayed_plot.show()\n',
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"[[self.so2data['lon'].data.min(), self.so2data['lon'].data.max()], "\
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'not data_range.bottom() < view_range.top()\n',
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