Newer
Older
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Adjusted Phase 1 Generation Tool\n",
"Below are packages imported during development, most of which are used below\n",
"Read through the worksheet, and enter any values in the cells headed 'Enter' below. Then click 'Cell' in the menu above, and 'Run All.'"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"C:\\Users\\aclaycomb\\AppData\\Local\\Continuum\\Anaconda2\\lib\\site-packages\\obspy\\core\\util\\deprecation_helpers.py:67: ObsPyDeprecationWarning: Module 'obspy.earthworm' is deprecated and will stop working with the next ObsPy version. Please import module 'obspy.clients.earthworm'instead.\n",
" warnings.warn(msg, ObsPyDeprecationWarning)\n"
]
}
],
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
"source": [
"%matplotlib inline\n",
"\n",
"import matplotlib as mp\n",
"\n",
"import pandas as pd\n",
"\n",
"import numpy as np\n",
"\n",
"import scipy as sp\n",
"\n",
"import scipy.linalg as spl\n",
"\n",
"import glob\n",
"\n",
"import json\n",
"\n",
"import urllib2\n",
"\n",
"from datetime import datetime \n",
"\n",
"import matplotlib.pyplot as pl\n",
"\n",
"import re\n",
"\n",
"import obspy\n",
"\n",
"from obspy.core import UTCDateTime\n",
"\n",
"import geomagio\n",
"\n",
"from geomagio.edge import EdgeFactory\n",
"\n",
"#from geomagio.Algorithm import DeltaFAlgorithm"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Example url for baseline web service"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"https://geohazards.usgs.gov/baselines/observation.json.php?observatory=BOU&starttime=2016-01-01&endtime=2016-10-07"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Enter the Observatory in the cell below as a string, similar to the following example:\n",
"\n",
"```python\n",
"obs_code = 'BOU'\n",
"```"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"obs_code = 'BOU'"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Enter the start date and end date for which you'd like to request baseline measurements\n",
"If you choose a year's worth, that will result in the mean delta F for adjusted data being closest to 0, but will amplify the daily variation. If you choose a shorter time period closer to the present, the daily variation will remain small, but the mean delta F will be biased by seasonal variation. If the baseline service is called without dates, it will return the last one month's baseline measurements."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"start_date = '2015-10-10'"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"end_date = '2016-10-09'"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"baseline_url = 'https://geohazards.usgs.gov/baselines/observation.json.php'\n",
"full_url = baseline_url + '?observatory=' + obs_code + '&starttime=' + start_date + '&endtime=' + end_date\n",
"response = urllib2.urlopen(full_url)\n",
"parsed_response = json.load(response)\n"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"execution_count": 6,
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"h_abs = []\n",
"d_abs = []\n",
"z_abs = []\n",
"h_ord = []\n",
"d_ord = []\n",
"z_ord = []\n",
"h_t = []\n",
"d_t = []\n",
"z_t = []\n",
"\n",
"for datum in parsed_response['data']:\n",
" for reading in datum['readings']:\n",
" if (reading['H']['absolute'] is not None\n",
" and reading['D']['absolute'] is not None\n",
" and reading['Z']['absolute'] is not None\n",
" and reading['H']['baseline'] is not None\n",
" and reading['D']['baseline'] is not None\n",
" and reading['Z']['baseline'] is not None\n",
" and reading['H']['valid'] is True\n",
" and reading['D']['valid'] is True\n",
" and reading['Z']['valid'] is True):\n",
" h_abs.append(reading['H']['absolute'])\n",
" d_abs.append(reading['D']['absolute'])\n",
" z_abs.append(reading['Z']['absolute'])\n",
" h_ord.append(reading['H']['absolute'] - reading['H']['baseline'])\n",
" d_ord.append(reading['D']['absolute'] - reading['D']['baseline'])\n",
" z_ord.append(reading['Z']['absolute'] - reading['Z']['baseline'])\n",
" h_t.append(reading['H']['end'])\n",
" d_t.append(reading['D']['end'])\n",
" z_t.append(reading['Z']['end'])\n",
" \n",
"last_datum = parsed_response['data'][1]\n",
"pier_correction = float(last_datum['pier']['correction'])\n",
"pier_correction"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Plot of H absolutes, ordinates, baselines\n",
"Absolutes are in the top plot below, in blue. These represent the field, as measured by the overhauser (with the pier correction applied), with direction measured by the theodolite. Ordinates are also in the top plot, in green. They represent the variometer's reading of the field corresponding to the times absolute measurements are taken. Baselines, or the difference between the two are in the bottom plot, in blue. Vertical axis units are nanoteslas. Horizontal axis units are unix timestamp (seconds since Jan 1, 1970)."
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"[<matplotlib.lines.Line2D at 0xb4c5080>]"
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAY8AAAENCAYAAAD34uk0AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nQJvwAKDtBxep0jqhjxjVAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0xa4136a0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"pl.subplot(2,1,1)\n",
"pl.plot(h_t,h_abs,'.',h_t,h_ord,'.')\n",
"pl.subplot(2,1,2)\n",
"pl.plot(h_t,np.asarray(h_abs) - np.asarray(h_ord),'.')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Plot of D absolutes, ordinates, baselines\n",
"Absolutes are in the top plot below, in blue. These represent the declination angle of the field, as measured by the overhauser (with the pier correction applied), with direction measured by the theodolite. Ordinates are also in the top plot, in green. They represent the declination (from the sensor's H axis) calculated from the variometer's reading of the field corresponding to the times absolute measurements are taken. Baselines, or the difference between the two are in the bottom plot, in blue. Vertical axis units are degrees. Horizontal axis units are unix timestamp (seconds since Jan 1, 1970)."
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"[<matplotlib.lines.Line2D at 0xb8ee860>]"
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAYwAAAENCAYAAAAc1VI3AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nGIaRCDMYhmEYRiLMYBiGYRiJ+P+ixjOXIsDsWQAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0xb6f97f0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"pl.subplot(2,1,1)\n",
"pl.plot(d_t,d_abs,'.',d_t,d_ord,'.')\n",
"pl.subplot(2,1,2)\n",
"pl.plot(d_t,np.asarray(d_abs) - np.asarray(d_ord),'.')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Plot of Z absolutes, ordinates, baselines\n",
"Absolutes are in the top plot below, in blue. These represent the field, as measured by the overhauser (with the pier correction applied), with direction measured by the theodolite. Ordinates are also in the top plot, in green. They represent the variometer's reading of the field corresponding to the times absolute measurements are taken. Baselines, or the difference between the two are in the bottom plot, in blue. Vertical axis units are nanoteslas. Horizontal axis units are unix timestamp (seconds since Jan 1, 1970)."
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"[<matplotlib.lines.Line2D at 0xbc8b898>]"
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAY8AAAENCAYAAAD34uk0AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nrkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0xbb1ac88>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"pl.subplot(2,1,1)\n",
"pl.plot(z_t,z_abs,'.',z_t,z_ord,'.')\n",
"pl.subplot(2,1,2)\n",
"pl.plot(z_t,np.asarray(z_abs) - np.asarray(z_ord),'.')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Note about averaging\n",
"The baselines have up to four values, corresponding to the up to four sets measured by the observer. Pre-averaging these does not improve the transformation matrix calculated by the least squares solver in scipy/numpy."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Calculate $(h,e,Z)_{variometer}$ from $(H,D,Z)_{ordinate}$ and $(X,Y,Z)_{absolute}$ from $(H,D,Z)_{absolute}$"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"h_abs_n = np.asarray(h_abs)\n",
"d_abs_n = np.asarray(d_abs)\n",
"z_abs_n = np.asarray(z_abs)\n",
"h_ord_n = np.asarray(h_ord)\n",
"d_ord_n = np.asarray(d_ord)\n",
"z_ord_n = np.asarray(z_ord)\n",
"z_t_n = np.asarray(z_t)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"x_a = h_abs_n*np.cos(d_abs_n*np.pi/180)\n",
"y_a = h_abs_n*np.sin(d_abs_n*np.pi/180)\n",
"z_a = z_abs_n\n",
"h_o = h_ord_n*np.cos(d_ord_n*np.pi/180)\n",
"e_o = h_ord_n*np.sin(d_ord_n*np.pi/180)\n",
"z_o = z_ord_n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Calculate Transform matrix"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"array([[ 9.81546858e-01, -1.89150435e-01, 6.19830586e-03,\n",
" -2.32136980e+02],\n",
" [ 1.50583668e-01, 9.94985961e-01, -2.27063235e-03,\n",
" 2.09168024e+02],\n",
" [ -4.30853583e-02, -2.01141374e-03, 1.02449397e+00,\n",
" 3.26623382e+02],\n",
" [ -0.00000000e+00, 0.00000000e+00, -0.00000000e+00,\n",
" 1.00000000e+00]])"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"abs_st = np.vstack([x_a,y_a,z_a,np.ones_like(x_a)])\n",
"ord_st = np.vstack([h_o,e_o,z_o,np.ones_like(h_o)])\n",
"M, res, rank, sigma = spl.lstsq(ord_st.T,abs_st.T)\n",
"tol = 1e-9\n",
"maskM = np.abs(M) > tol\n",
"M = maskM * M\n",
"M = M.T\n",
"M"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Enter path to save adjusted statefile"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"path = '/users/aclaycomb/'"
]
},
{
"cell_type": "code",
"execution_count": 14,
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"data = {\n",
" 'M11': M[0,0],\n",
" 'M12': M[0,1],\n",
" 'M13': M[0,2],\n",
" 'M14': M[0,3],\n",
" 'M21': M[1,0],\n",
" 'M22': M[1,1],\n",
" 'M23': M[1,2],\n",
" 'M24': M[1,3],\n",
" 'M31': M[2,0],\n",
" 'M32': M[2,1],\n",
" 'M33': M[2,2],\n",
" 'M34': M[2,3],\n",
" 'M41': M[3,0],\n",
" 'M42': M[3,1],\n",
" 'M43': M[3,2],\n",
" 'M44': M[3,3],\n",
" 'PC': pier_correction\n",
" }\n",
"with open(path + 'adj' + obs_code + '_state_.json', 'w') as f:\n",
" f.write(json.dumps(data))"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"factory = EdgeFactory()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Enter Start and End Times for Test month(s)"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"start2=UTCDateTime('2016-06-09T00:00:00Z')"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"end2=UTCDateTime('2016-10-08T23:59:59Z')"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"C:\\Users\\aclaycomb\\AppData\\Local\\Continuum\\Anaconda2\\lib\\site-packages\\geomagio\\edge\\EdgeFactory.py:520: ObsPyDeprecationWarning: 'getWaveform' has been renamed to 'get_waveforms'. Use that instead.\n",
" edge_channel, starttime, endtime)\n"
]
}
],
"source": [
"hezf = factory.get_timeseries(observatory=obs_code,\n",
"\n",
" interval='minute',\n",
"\n",
" type='variation',\n",
"\n",
" channels=('H', 'E', 'Z', 'F'),\n",
"\n",
" starttime=start2,\n",
"\n",
" endtime=end2)"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"raw = np.vstack([hezf[0].data,hezf[1].data,hezf[2].data,np.ones_like(hezf[0].data)])\n",
"adj = np.dot(M,raw)"
]
},
{
"cell_type": "code",
"execution_count": 20,
},
"outputs": [],
"source": [
"h_pqqm = np.mean(x_a - h_o)\n",
"e_pqqm = np.mean(y_a - e_o)\n",
"\n",
"z_pqqm = np.mean(z_a - z_o)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Plot of $\\Delta F$ Over the Test Period\n",
"The left plot (black) shows adjusted delta F, the cyan shows adjusted delta F using average baselines over the period (instead of the transformation). The blue on the right shows raw delta F."
]
},
{
"cell_type": "code",
"execution_count": 42,
"metadata": {
"collapsed": false,
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.text.Text at 0x21eea320>"
"execution_count": 42,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAYkAAAEKCAYAAADn+anLAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nISIiif4/GOVi/Cnq2RsAAAAASUVORK5CYII=\n",
"<matplotlib.figure.Figure at 0x21da65c0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"pl.figure()\n",
"\n",
"pl.subplot(1,2,1)\n",
"\n",
"mean_baseline_delta_f = (((hezf[0].data + h_pqqm)**2 + \n",
" (hezf[1].data + e_pqqm)**2 + \n",
" (hezf[2].data + z_pqqm)**2)**(0.5) - hezf[3].data - pier_correction)\n",
"mean_baseline_delta_f_mean = np.nanmean(mean_baseline_delta_f)\n",
"\n",
"pl.plot(mean_baseline_delta_f,'c')\n",
"\n",
"pl.hold(True)\n",
"\n",
"adj_delta_f = (adj[0]**2 + adj[1]**2 + adj[2]**2)**(0.5) - hezf[3].data - pier_correction\n",
"\n",
"adj_delta_f_mean = np.nanmean(adj_delta_f)\n",
"pl.plot(adj_delta_f,'k')\n",
"\n",
"pl.ylim(adj_delta_f_mean - 30., adj_delta_f_mean + 30.)\n",
"\n",
"pl.title('adjusted')\n",
"\n",
"pl.subplot(1,2,2)\n",
"\n",
"raw_delta_f = (((hezf[0].data)**2 + (hezf[1].data)**2 + \n",
" (hezf[2].data)**2)**(0.5) - hezf[3].data - pier_correction)\n",
"\n",
"raw_delta_f_mean = np.nanmean(raw_delta_f)\n",
"pl.plot(((hezf[0].data)**2 + (hezf[1].data)**2 + \n",
" (hezf[2].data)**2)**(0.5) - hezf[3].data - pier_correction,'b')\n",
"\n",
"pl.ylim(raw_delta_f_mean - 30.,raw_delta_f_mean + 30.)\n",
"\n",
"pl.title('raw')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Plots of Raw h + Static Baseline and Adjusted X\n",
"This compares the static baseline applied to the raw data with adjusted data. These should look similar on this scale."
]
},
{
"cell_type": "code",
"execution_count": 57,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.text.Text at 0x333c4b70>"
"execution_count": 57,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAj4AAAF6CAYAAAAZE1JLAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nSnxERESkMJT4iIiISGH8P11BDUFCvKbWAAAAAElFTkSuQmCC\n",
"<matplotlib.figure.Figure at 0x2f810f98>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"pl.figure(figsize=(14,6))\n",
"pl.plot(hezf[0].data + h_pqqm,'b')\n",
"pl.title('static baseline')\n",
"pl.subplot(1,3,2)\n",
"pl.plot(adj[0],'c')\n",
"pl.title('adjusted')\n",
"#pl.subplot(1,3,3)\n",
"#pl.plot(adj[0] - hezf[0].data - h_pqqm,'k')\n",
"#pl.title('$\\Delta h$')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Plots of Raw e + Static Baseline and Adjusted Y\n",
"his compares the static baseline applied to the raw data with adjusted data. These should look similar on this scale."
]
},
{
"cell_type": "code",
"execution_count": 59,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.text.Text at 0x35c7eba8>"
"execution_count": 59,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAjgAAAF6CAYAAAAUDSIMAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\npOAQBEEQBFE5/h8tBWTbjbc2QAAAAABJRU5ErkJggg==\n",
"<matplotlib.figure.Figure at 0x33b57eb8>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"pl.figure(figsize=(14,6))\n",
"pl.plot(hezf[1].data + e_pqqm,'b')\n",
"pl.title('static baseline')\n",
"pl.subplot(1,3,2)\n",
"pl.plot(adj[1],'c')\n",
"pl.title('adjusted')\n",
"#pl.subplot(1,3,3)\n",
"#pl.plot(adj[1] - hezf[1].data - e_pqqm,'k')\n",
"#pl.title('$\\Delta e$')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Plots of Raw z + static baseline and Adjusted Z\n"
]
},
{
"cell_type": "code",
"execution_count": 58,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.text.Text at 0x33b02438>"
"execution_count": 58,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAj4AAAF6CAYAAAAZE1JLAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nQRQfQRAEQRAaBlF8BEEQBEFoGP4/bXJ00+3QzYcAAAAASUVORK5CYII=\n",
"<matplotlib.figure.Figure at 0x32f06da0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"pl.figure(figsize=(14,6))\n",
"pl.plot(hezf[2].data + z_pqqm,'b')\n",
"pl.title('static baseline')\n",
"pl.subplot(1,3,2)\n",
"pl.plot(adj[2],'c')\n",
"pl.title('adjusted')\n",
"#pl.subplot(1,3,3)\n",
"#pl.plot(adj[2] - hezf[2].data - z_pqqm,'k')\n",
"#pl.title('$\\Delta z$')"
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 2",
"language": "python",
"name": "python2"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.11"
}
},
"nbformat": 4,
"nbformat_minor": 0
}