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sanandak/asdf.ipynb

Last active April 21, 2017 14:50
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asdf.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import pyasdf as pa\n",
"import obspy"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import urllib\n",
"import io"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Read in an SU dataset"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<http.client.HTTPResponse object at 0x10d891668>\n"
]
}
],
"source": [
"u = urllib.request.urlopen('https://raw.github.com/sanandak/d3-su-picker/master/testData/dip00.su')\n",
"#str = obspy.read('/Users/sak/Dropbox/Geopebble/JS/d3-su-picker/testData/dip00.su')\n",
"print(u)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"An Obspy Stream object is made up of Trace objects. Each has metadata in the `stats` field"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {},
"outputs": [],
"source": [
"rawsu = u.read()"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"810000"
]
},
"execution_count": 37,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"len(rawsu)"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {},
"outputs": [],
"source": [
"str = obspy.read(io.BytesIO(rawsu))"
]
},
{
"cell_type": "code",
"execution_count": 39,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" network: \n",
" station: \n",
" location: \n",
" channel: \n",
" starttime: 1970-01-01T00:00:00.000000Z\n",
" endtime: 1970-01-01T00:00:05.992000Z\n",
" sampling_rate: 125.0\n",
" delta: 0.008\n",
" npts: 750\n",
" calib: 1.0\n",
" _format: SU\n",
" su: AttribDict({'trace_header': LazyTraceHeaderAttribDict({'unpacked_header': b'\\x00\\x00\\x00\\x01\\x00\\x00\\x00\\x01\\x00\\x00\\x00\\x01\\x00\\x00\\x00\\x01\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x01\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x002\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x002\\x00\\x00\\x00\\x00\\x00\\x01\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x02\\xee\\x1f@\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00=L\\xcc\\xcd=L\\xcc\\xcd\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00\\x00', 'endian': '>', 'sample_interval_in_ms_for_this_trace': 8000, 'year_data_recorded': 0}), 'endian': '>'})\n"
]
}
],
"source": [
"print(str.traces[0].stats)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The trace header is packed into `trace_header` and is accesed by header name (quite verbose and documented at\n",
"https://github.com/obspy/obspy/blob/master/obspy/io/segy/header.py#L53"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"50"
]
},
"execution_count": 40,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"str[0].stats.su.trace_header.group_coordinate_x # str.traces[n] <==> str[n]"
]
},
{
"cell_type": "code",
"execution_count": 41,
"metadata": {},
"outputs": [],
"source": [
"shot0 = [t for t in str if t.stats.su.trace_header.source_coordinate_x == 0]"
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"for t in shot0:\n",
" t.stats['location'] = '{}'.format(t.stats.su.trace_header.group_coordinate_x)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Open an ASDF file...."
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"ds = pa.ASDFDataSet('dip00.asdf')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Add all the traces as _waveforms_ to `ds`"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..50.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..100.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..150.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..200.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..250.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..300.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..350.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..400.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..450.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..500.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..550.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..600.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..650.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..700.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..750.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..800.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..850.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..900.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..950.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..1000.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..1050.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..1100.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..1150.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..1200.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..1250.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..1300.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..1350.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..1400.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..1450.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..1500.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..1550.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..1600.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..1650.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..1700.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..1750.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..1800.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..1850.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..1900.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..1950.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..2000.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..2050.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..2100.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..2150.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..2200.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..2250.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..2300.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..2350.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..2400.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..2450.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n",
"/Users/sak/anaconda/envs/asdf/lib/python3.6/site-packages/pyasdf/asdf_data_set.py:51: ASDFWarning: Data './..2500.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform' already exists in file. Will not be added!\n",
" closure_warn(self, *args, **kwargs)\n"
]
}
],
"source": [
"for t in shot0:\n",
" ds.add_waveforms(t, tag=\"raw_waveform\")"
]
},
{
"cell_type": "code",
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"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"['..100.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform',\n",
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" '..1400.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform',\n",
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" '..1700.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform',\n",
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" '..1850.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform',\n",
" '..1900.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform',\n",
" '..1950.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform',\n",
" '..200.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform',\n",
" '..2000.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform',\n",
" '..2050.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform',\n",
" '..2100.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform',\n",
" '..2150.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform',\n",
" '..2200.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform',\n",
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" '..2300.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform',\n",
" '..2350.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform',\n",
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" '..2450.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform',\n",
" '..250.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform',\n",
" '..2500.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform',\n",
" '..300.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform',\n",
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" '..400.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform',\n",
" '..450.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform',\n",
" '..50.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform',\n",
" '..500.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform',\n",
" '..550.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform',\n",
" '..600.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform',\n",
" '..650.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform',\n",
" '..700.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform',\n",
" '..750.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform',\n",
" '..800.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform',\n",
" '..850.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform',\n",
" '..900.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform',\n",
" '..950.__1970-01-01T00:00:00__1970-01-01T00:00:05__raw_waveform']"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ds.waveforms.list()"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"ds.flush()"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"0 Event(s) in Catalog:\n"
]
},
"execution_count": 46,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ds.events"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.1"
}
},
"nbformat": 4,
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