NK_X_corr_ns59.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import gps_particle_data\n",
    "import wget\n",
    "import os\n",
    "import numpy as np \n",
    "import time\n",
    "import json\n",
    "import sys\n",
    "import math\n",
    "from datetime import datetime, timedelta, date\n",
    "from itertools import compress\n",
    "from random import randint\n",
    "import urllib2\n",
    "import aacgmv2\n",
    "import scipy\n",
    "import matplotlib\n",
    "from matplotlib import gridspec\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "====================================\n",
      "Loading data for satellite  59\n",
      "File : https://www.ngdc.noaa.gov/stp/space-weather/satellite-data/satellite-systems/gps/data/ns59/ns59_150111_v1.03.ascii\n",
      "File : https://www.ngdc.noaa.gov/stp/space-weather/satellite-data/satellite-systems/gps/data/ns59/ns59_150118_v1.03.ascii\n",
      "channel: 2 X-cor  --->    1.0\n",
      "[ 0.9678531   0.84863261  0.74989215  0.9807681   0.94249606  0.95794104\n",
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      "  0.88056095  0.97242887  0.92779985  0.98559836  0.95946023  0.97083726\n",
      "  0.88103801  0.9377866   0.80765974  0.85708274  0.94387503  0.90644264\n",
      "  0.99607865  0.95391115  0.95249     0.92033953  0.94758998  0.91264097\n",
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      "  0.93495095  0.88703262  0.96801012  0.84998985  0.88638458  0.92284497\n",
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      "  0.92524906  0.90417777  0.81620179  0.87283542  0.87190214  0.61969221\n",
      "  0.77065904  0.25324721  0.81885054  0.84713311  0.25158193  0.41086426\n",
      "  0.12677385  0.27198239  0.43564033  0.86124561  0.53397405  0.33459399\n",
      "  0.7616471   0.14091369  0.98457005  0.98289815  0.9538589   0.90969119\n",
      "  0.87335163  0.3123463   0.78453122  0.94580293  0.8317968   0.2756335\n",
      "  0.62170132  0.93024256  0.87191328  0.95582953  0.87827262  0.88444832\n",
      "  0.90851777  0.46908585  0.79147179  0.86976778  0.69121848  0.78074642\n",
      "  0.90984156  0.95112761  0.98985295  0.94395143  0.94697462  0.98865157\n",
      "  0.73569686  0.78050782  0.99392625  0.91590302  0.57569878  0.91317073\n",
      "  0.85924176  0.88853109  0.97505777  0.86460458  0.31991303  0.88042204\n",
      "  0.89481505  0.31578044  0.76137708  0.60110876  0.83094721  0.89133896\n",
      "  0.82609873  0.39744445  0.86470344  0.31438156  0.69443774  0.8641882\n",
      "  0.9469228   0.88435147  0.74853883]\n",
      "\n",
      "====================================\n",
      "Loading data for satellite  59\n",
      "File : https://www.ngdc.noaa.gov/stp/space-weather/satellite-data/satellite-systems/gps/data/ns59/ns59_150215_v1.03.ascii\n",
      "File : https://www.ngdc.noaa.gov/stp/space-weather/satellite-data/satellite-systems/gps/data/ns59/ns59_150222_v1.03.ascii\n",
      "channel: 2 X-cor  --->    1.0\n",
      "[ 0.9678531   0.84863261  0.74989215  0.9807681   0.94249606  0.95794104\n",
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      "  0.88056095  0.97242887  0.92779985  0.98559836  0.95946023  0.97083726\n",
      "  0.88103801  0.9377866   0.80765974  0.85708274  0.94387503  0.90644264\n",
      "  0.99607865  0.95391115  0.95249     0.92033953  0.94758998  0.91264097\n",
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      "  0.90851777  0.46908585  0.79147179  0.86976778  0.69121848  0.78074642\n",
      "  0.90984156  0.95112761  0.98985295  0.94395143  0.94697462  0.98865157\n",
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      "  0.9469228   0.88435147  0.74853883  0.81611058]\n",
      "\n",
      "====================================\n",
      "Loading data for satellite  59\n",
      "File : https://www.ngdc.noaa.gov/stp/space-weather/satellite-data/satellite-systems/gps/data/ns59/ns59_150315_v1.03.ascii\n",
      "File : https://www.ngdc.noaa.gov/stp/space-weather/satellite-data/satellite-systems/gps/data/ns59/ns59_150322_v1.03.ascii\n",
      "channel: 2 X-cor  --->    1.0\n",
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      "  0.90014043  0.9476281   0.9420434   0.96413257  0.83522598  0.87026545\n",
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      "  0.12677385  0.27198239  0.43564033  0.86124561  0.53397405  0.33459399\n",
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      "  0.87335163  0.3123463   0.78453122  0.94580293  0.8317968   0.2756335\n",
      "  0.62170132  0.93024256  0.87191328  0.95582953  0.87827262  0.88444832\n",
      "  0.90851777  0.46908585  0.79147179  0.86976778  0.69121848  0.78074642\n",
      "  0.90984156  0.95112761  0.98985295  0.94395143  0.94697462  0.98865157\n",
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      "  0.9469228   0.88435147  0.74853883  0.81611058  0.9836796 ]\n",
      "\n",
      "====================================\n",
      "Loading data for satellite  59\n",
      "File : https://www.ngdc.noaa.gov/stp/space-weather/satellite-data/satellite-systems/gps/data/ns59/ns59_150412_v1.03.ascii\n",
      "File : https://www.ngdc.noaa.gov/stp/space-weather/satellite-data/satellite-systems/gps/data/ns59/ns59_150419_v1.03.ascii\n",
      "channel: 2 X-cor  --->    1.0\n",
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      "  0.9469228   0.88435147  0.74853883  0.81611058  0.9836796   0.96766069]\n",
      "\n",
      "====================================\n",
      "Loading data for satellite  59\n",
      "File : https://www.ngdc.noaa.gov/stp/space-weather/satellite-data/satellite-systems/gps/data/ns59/ns59_150510_v1.03.ascii\n",
      "File : https://www.ngdc.noaa.gov/stp/space-weather/satellite-data/satellite-systems/gps/data/ns59/ns59_150517_v1.03.ascii\n",
      "channel: 2 X-cor  --->    1.0\n",
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      "  0.90775097]\n"
     ]
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "====================================\n",
      "Loading data for satellite  59\n",
      "File : https://www.ngdc.noaa.gov/stp/space-weather/satellite-data/satellite-systems/gps/data/ns59/ns59_150614_v1.03.ascii\n",
      "File : https://www.ngdc.noaa.gov/stp/space-weather/satellite-data/satellite-systems/gps/data/ns59/ns59_150621_v1.03.ascii\n",
      "channel: 2 X-cor  --->    1.0\n",
      "[ 0.9678531   0.84863261  0.74989215  0.9807681   0.94249606  0.95794104\n",
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      "  0.90775097  0.94941492]\n",
      "\n",
      "====================================\n",
      "Loading data for satellite  59\n",
      "File : https://www.ngdc.noaa.gov/stp/space-weather/satellite-data/satellite-systems/gps/data/ns59/ns59_150712_v1.03.ascii\n",
      "File : https://www.ngdc.noaa.gov/stp/space-weather/satellite-data/satellite-systems/gps/data/ns59/ns59_150719_v1.03.ascii\n",
      "channel: 2 X-cor  --->    1.0\n",
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      "  0.85924176  0.88853109  0.97505777  0.86460458  0.31991303  0.88042204\n",
      "  0.89481505  0.31578044  0.76137708  0.60110876  0.83094721  0.89133896\n",
      "  0.82609873  0.39744445  0.86470344  0.31438156  0.69443774  0.8641882\n",
      "  0.9469228   0.88435147  0.74853883  0.81611058  0.9836796   0.96766069\n",
      "  0.90775097  0.94941492  0.87427823]\n",
      "\n",
      "====================================\n",
      "Loading data for satellite  59\n",
      "File : https://www.ngdc.noaa.gov/stp/space-weather/satellite-data/satellite-systems/gps/data/ns59/ns59_150816_v1.03.ascii\n",
      "File : https://www.ngdc.noaa.gov/stp/space-weather/satellite-data/satellite-systems/gps/data/ns59/ns59_150823_v1.03.ascii\n",
      "channel: 2 X-cor  --->    1.0\n",
      "[ 0.9678531   0.84863261  0.74989215  0.9807681   0.94249606  0.95794104\n",
      "  0.96704126  0.99273406  0.91550603  0.96387647  0.95359087  0.9637998\n",
      "  0.88056095  0.97242887  0.92779985  0.98559836  0.95946023  0.97083726\n",
      "  0.88103801  0.9377866   0.80765974  0.85708274  0.94387503  0.90644264\n",
      "  0.99607865  0.95391115  0.95249     0.92033953  0.94758998  0.91264097\n",
      "  0.95301717  0.94277828  0.85257058  0.92176647  0.81903894  0.96692846\n",
      "  0.93495095  0.88703262  0.96801012  0.84998985  0.88638458  0.92284497\n",
      "  0.90014043  0.9476281   0.9420434   0.96413257  0.83522598  0.87026545\n",
      "  0.92524906  0.90417777  0.81620179  0.87283542  0.87190214  0.61969221\n",
      "  0.77065904  0.25324721  0.81885054  0.84713311  0.25158193  0.41086426\n",
      "  0.12677385  0.27198239  0.43564033  0.86124561  0.53397405  0.33459399\n",
      "  0.7616471   0.14091369  0.98457005  0.98289815  0.9538589   0.90969119\n",
      "  0.87335163  0.3123463   0.78453122  0.94580293  0.8317968   0.2756335\n",
      "  0.62170132  0.93024256  0.87191328  0.95582953  0.87827262  0.88444832\n",
      "  0.90851777  0.46908585  0.79147179  0.86976778  0.69121848  0.78074642\n",
      "  0.90984156  0.95112761  0.98985295  0.94395143  0.94697462  0.98865157\n",
      "  0.73569686  0.78050782  0.99392625  0.91590302  0.57569878  0.91317073\n",
      "  0.85924176  0.88853109  0.97505777  0.86460458  0.31991303  0.88042204\n",
      "  0.89481505  0.31578044  0.76137708  0.60110876  0.83094721  0.89133896\n",
      "  0.82609873  0.39744445  0.86470344  0.31438156  0.69443774  0.8641882\n",
      "  0.9469228   0.88435147  0.74853883  0.81611058  0.9836796   0.96766069\n",
      "  0.90775097  0.94941492  0.87427823  0.954494  ]\n",
      "\n",
      "====================================\n",
      "Loading data for satellite  59\n",
      "File : https://www.ngdc.noaa.gov/stp/space-weather/satellite-data/satellite-systems/gps/data/ns59/ns59_150913_v1.03.ascii\n",
      "File : https://www.ngdc.noaa.gov/stp/space-weather/satellite-data/satellite-systems/gps/data/ns59/ns59_150920_v1.03.ascii\n",
      "channel: 2 X-cor  --->    1.0\n",
      "[ 0.9678531   0.84863261  0.74989215  0.9807681   0.94249606  0.95794104\n",
      "  0.96704126  0.99273406  0.91550603  0.96387647  0.95359087  0.9637998\n",
      "  0.88056095  0.97242887  0.92779985  0.98559836  0.95946023  0.97083726\n",
      "  0.88103801  0.9377866   0.80765974  0.85708274  0.94387503  0.90644264\n",
      "  0.99607865  0.95391115  0.95249     0.92033953  0.94758998  0.91264097\n",
      "  0.95301717  0.94277828  0.85257058  0.92176647  0.81903894  0.96692846\n",
      "  0.93495095  0.88703262  0.96801012  0.84998985  0.88638458  0.92284497\n",
      "  0.90014043  0.9476281   0.9420434   0.96413257  0.83522598  0.87026545\n",
      "  0.92524906  0.90417777  0.81620179  0.87283542  0.87190214  0.61969221\n",
      "  0.77065904  0.25324721  0.81885054  0.84713311  0.25158193  0.41086426\n",
      "  0.12677385  0.27198239  0.43564033  0.86124561  0.53397405  0.33459399\n",
      "  0.7616471   0.14091369  0.98457005  0.98289815  0.9538589   0.90969119\n",
      "  0.87335163  0.3123463   0.78453122  0.94580293  0.8317968   0.2756335\n",
      "  0.62170132  0.93024256  0.87191328  0.95582953  0.87827262  0.88444832\n",
      "  0.90851777  0.46908585  0.79147179  0.86976778  0.69121848  0.78074642\n",
      "  0.90984156  0.95112761  0.98985295  0.94395143  0.94697462  0.98865157\n",
      "  0.73569686  0.78050782  0.99392625  0.91590302  0.57569878  0.91317073\n",
      "  0.85924176  0.88853109  0.97505777  0.86460458  0.31991303  0.88042204\n",
      "  0.89481505  0.31578044  0.76137708  0.60110876  0.83094721  0.89133896\n",
      "  0.82609873  0.39744445  0.86470344  0.31438156  0.69443774  0.8641882\n",
      "  0.9469228   0.88435147  0.74853883  0.81611058  0.9836796   0.96766069\n",
      "  0.90775097  0.94941492  0.87427823  0.954494    0.97501008]\n",
      "\n",
      "====================================\n",
      "Loading data for satellite  59\n",
      "File : https://www.ngdc.noaa.gov/stp/space-weather/satellite-data/satellite-systems/gps/data/ns59/ns59_151011_v1.03.ascii\n",
      "File : https://www.ngdc.noaa.gov/stp/space-weather/satellite-data/satellite-systems/gps/data/ns59/ns59_151018_v1.03.ascii\n",
      "channel: 2 X-cor  --->    1.0\n",
      "[ 0.9678531   0.84863261  0.74989215  0.9807681   0.94249606  0.95794104\n",
      "  0.96704126  0.99273406  0.91550603  0.96387647  0.95359087  0.9637998\n",
      "  0.88056095  0.97242887  0.92779985  0.98559836  0.95946023  0.97083726\n",
      "  0.88103801  0.9377866   0.80765974  0.85708274  0.94387503  0.90644264\n",
      "  0.99607865  0.95391115  0.95249     0.92033953  0.94758998  0.91264097\n",
      "  0.95301717  0.94277828  0.85257058  0.92176647  0.81903894  0.96692846\n",
      "  0.93495095  0.88703262  0.96801012  0.84998985  0.88638458  0.92284497\n",
      "  0.90014043  0.9476281   0.9420434   0.96413257  0.83522598  0.87026545\n",
      "  0.92524906  0.90417777  0.81620179  0.87283542  0.87190214  0.61969221\n",
      "  0.77065904  0.25324721  0.81885054  0.84713311  0.25158193  0.41086426\n",
      "  0.12677385  0.27198239  0.43564033  0.86124561  0.53397405  0.33459399\n",
      "  0.7616471   0.14091369  0.98457005  0.98289815  0.9538589   0.90969119\n",
      "  0.87335163  0.3123463   0.78453122  0.94580293  0.8317968   0.2756335\n",
      "  0.62170132  0.93024256  0.87191328  0.95582953  0.87827262  0.88444832\n",
      "  0.90851777  0.46908585  0.79147179  0.86976778  0.69121848  0.78074642\n",
      "  0.90984156  0.95112761  0.98985295  0.94395143  0.94697462  0.98865157\n",
      "  0.73569686  0.78050782  0.99392625  0.91590302  0.57569878  0.91317073\n",
      "  0.85924176  0.88853109  0.97505777  0.86460458  0.31991303  0.88042204\n",
      "  0.89481505  0.31578044  0.76137708  0.60110876  0.83094721  0.89133896\n",
      "  0.82609873  0.39744445  0.86470344  0.31438156  0.69443774  0.8641882\n",
      "  0.9469228   0.88435147  0.74853883  0.81611058  0.9836796   0.96766069\n",
      "  0.90775097  0.94941492  0.87427823  0.954494    0.97501008  0.99140139]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "====================================\n",
      "Loading data for satellite  59\n",
      "File : https://www.ngdc.noaa.gov/stp/space-weather/satellite-data/satellite-systems/gps/data/ns59/ns59_151115_v1.03.ascii\n",
      "File : https://www.ngdc.noaa.gov/stp/space-weather/satellite-data/satellite-systems/gps/data/ns59/ns59_151122_v1.03.ascii\n",
      "channel: 2 X-cor  --->    1.0\n",
      "[ 0.9678531   0.84863261  0.74989215  0.9807681   0.94249606  0.95794104\n",
      "  0.96704126  0.99273406  0.91550603  0.96387647  0.95359087  0.9637998\n",
      "  0.88056095  0.97242887  0.92779985  0.98559836  0.95946023  0.97083726\n",
      "  0.88103801  0.9377866   0.80765974  0.85708274  0.94387503  0.90644264\n",
      "  0.99607865  0.95391115  0.95249     0.92033953  0.94758998  0.91264097\n",
      "  0.95301717  0.94277828  0.85257058  0.92176647  0.81903894  0.96692846\n",
      "  0.93495095  0.88703262  0.96801012  0.84998985  0.88638458  0.92284497\n",
      "  0.90014043  0.9476281   0.9420434   0.96413257  0.83522598  0.87026545\n",
      "  0.92524906  0.90417777  0.81620179  0.87283542  0.87190214  0.61969221\n",
      "  0.77065904  0.25324721  0.81885054  0.84713311  0.25158193  0.41086426\n",
      "  0.12677385  0.27198239  0.43564033  0.86124561  0.53397405  0.33459399\n",
      "  0.7616471   0.14091369  0.98457005  0.98289815  0.9538589   0.90969119\n",
      "  0.87335163  0.3123463   0.78453122  0.94580293  0.8317968   0.2756335\n",
      "  0.62170132  0.93024256  0.87191328  0.95582953  0.87827262  0.88444832\n",
      "  0.90851777  0.46908585  0.79147179  0.86976778  0.69121848  0.78074642\n",
      "  0.90984156  0.95112761  0.98985295  0.94395143  0.94697462  0.98865157\n",
      "  0.73569686  0.78050782  0.99392625  0.91590302  0.57569878  0.91317073\n",
      "  0.85924176  0.88853109  0.97505777  0.86460458  0.31991303  0.88042204\n",
      "  0.89481505  0.31578044  0.76137708  0.60110876  0.83094721  0.89133896\n",
      "  0.82609873  0.39744445  0.86470344  0.31438156  0.69443774  0.8641882\n",
      "  0.9469228   0.88435147  0.74853883  0.81611058  0.9836796   0.96766069\n",
      "  0.90775097  0.94941492  0.87427823  0.954494    0.97501008  0.99140139\n",
      "  0.95188395]\n",
      "\n",
      "====================================\n",
      "Loading data for satellite  59\n",
      "File : https://www.ngdc.noaa.gov/stp/space-weather/satellite-data/satellite-systems/gps/data/ns59/ns59_151213_v1.03.ascii\n",
      "File : https://www.ngdc.noaa.gov/stp/space-weather/satellite-data/satellite-systems/gps/data/ns59/ns59_151220_v1.03.ascii\n",
      "channel: 2 X-cor  --->    1.0\n",
      "[ 0.9678531   0.84863261  0.74989215  0.9807681   0.94249606  0.95794104\n",
      "  0.96704126  0.99273406  0.91550603  0.96387647  0.95359087  0.9637998\n",
      "  0.88056095  0.97242887  0.92779985  0.98559836  0.95946023  0.97083726\n",
      "  0.88103801  0.9377866   0.80765974  0.85708274  0.94387503  0.90644264\n",
      "  0.99607865  0.95391115  0.95249     0.92033953  0.94758998  0.91264097\n",
      "  0.95301717  0.94277828  0.85257058  0.92176647  0.81903894  0.96692846\n",
      "  0.93495095  0.88703262  0.96801012  0.84998985  0.88638458  0.92284497\n",
      "  0.90014043  0.9476281   0.9420434   0.96413257  0.83522598  0.87026545\n",
      "  0.92524906  0.90417777  0.81620179  0.87283542  0.87190214  0.61969221\n",
      "  0.77065904  0.25324721  0.81885054  0.84713311  0.25158193  0.41086426\n",
      "  0.12677385  0.27198239  0.43564033  0.86124561  0.53397405  0.33459399\n",
      "  0.7616471   0.14091369  0.98457005  0.98289815  0.9538589   0.90969119\n",
      "  0.87335163  0.3123463   0.78453122  0.94580293  0.8317968   0.2756335\n",
      "  0.62170132  0.93024256  0.87191328  0.95582953  0.87827262  0.88444832\n",
      "  0.90851777  0.46908585  0.79147179  0.86976778  0.69121848  0.78074642\n",
      "  0.90984156  0.95112761  0.98985295  0.94395143  0.94697462  0.98865157\n",
      "  0.73569686  0.78050782  0.99392625  0.91590302  0.57569878  0.91317073\n",
      "  0.85924176  0.88853109  0.97505777  0.86460458  0.31991303  0.88042204\n",
      "  0.89481505  0.31578044  0.76137708  0.60110876  0.83094721  0.89133896\n",
      "  0.82609873  0.39744445  0.86470344  0.31438156  0.69443774  0.8641882\n",
      "  0.9469228   0.88435147  0.74853883  0.81611058  0.9836796   0.96766069\n",
      "  0.90775097  0.94941492  0.87427823  0.954494    0.97501008  0.99140139\n",
      "  0.95188395  0.93954504]\n"
     ]
    }
   ],
   "source": [
    "for j in range(12):\n",
    "    #if j == 0 or j == 1 or j == 2:\n",
    "        #continue\n",
    "    start_date = datetime(2015,j+1,10,0,0,0);\n",
    "    end_date = datetime(2015,j+1,23,0,0,0);\n",
    "    ms = gps_particle_data.meta_search();\n",
    "    ms.load_data(start_date,end_date);\n",
    "    \n",
    "    output_data = ms.get_all_data_by_satellite()\n",
    "    signal = 'rate_electron_measured'\n",
    "    for i in range(11):\n",
    "        a0 = np.asarray(output_data[59][signal])[:,2]\n",
    "        ar2 = np.asarray(output_data[59][signal])[:,i]\n",
    "        #Normalised cross-correlation between channel 2 and all other channels for a given time period.\n",
    "        cor = np.correlate(a0, ar2)/(math.sqrt(np.sum(a0**2)*np.sum(ar2**2)))\n",
    "        fname = 'ch2_'+str(i)+ '_ns59' +'.ascii'\n",
    "        with open(fname, 'a') as f:\n",
    "            np.savetxt(f, cor)\n",
    "        if i == 2 :\n",
    "            print 'channel:', i, 'X-cor  --->   ', cor[0]\n",
    "    \n",
    "    cont = np.loadtxt('ch2_0_ns59.ascii')\n",
    "    print cont"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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TZa4m8fYkdYRVb1z9OAAAsH3cgQ4AgLHEMAAAY4lhAADGEsMAAIwlhgEAGEsMAwAwlhgG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\nYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f03ccc6c610>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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DAACMJYYBABhLDAMAMJYYBgBgLDEMAMBYYhgAgLHEMAAAY4lhAADGEsMAAIwlhgEAGEsM\nAwAwlhgGAGAsMQwAwFhiGACAsTaN4ap6UFW9uar+sKreVlXftyw/p6quraobl8dHrn9cAADYOquc\nGf7rJF/c3Rck+Ywkz6qqz0lyeZLD3X1+ksPLawAA2DU2jeHe8KHl5dnLVye5OMmhZfmhJJesZUIA\nAFiTla4ZrqqzquotSY4muba735RkX3fftmxye5J9a5oRAADWYqUY7u67uvszkjw6yVOq6tPusb6z\ncbb4H6mqy6rqSFUdOXbs2BkPDAAAW+VefZpEd/9Fkt9O8qwk762q85JkeTx6in2u7O4D3X1g7969\nZzovAABsmVU+TWJvVT1ief7gJE9P8vYk1yQ5uGx2MMnV6xoSAADWYc8K25yX5FBVnZWNeL6qu19V\nVW9IclVVPS/JLUkuXeOcAACw5TaN4e5+a5InnWT5HUkuXMdQAACwHdyBDgCAscQwAABjiWEAAMYS\nwwAAjCWGAQAYSwwDADCWGAYAYCwxDADAWGIYAICxxDAAAGOJYQAAxhLDAACMJYYBABhLDAMAMJYY\nBgBgLDEMAMBYYhgAgLHEMAAAY4lhAADGEsMAAIwlhgEAGEsMAwAwlhgGAGAsMQwAwFhiGACAscQw\nAABjiWEAAMYSwwAAjCWGAQAYSwwDADCWGAYAYCwxDADAWGIYAICxxDAAAGOJYQAAxhLDAACMJYYB\nABhLDAMAMJYYBgBgLDEMAMBYYhgAgLHEMAAAY4lhAADGEsMAAIwlhgEAGEsMAwAwlhgGAGAsMQwA\nwFhiGACAscQwAABjiWEAAMYSwwAAjCWGAQAYSwwDADCWGAYAYCwxDADAWGIYAICxxDAAAGOJYQAA\nxhLDAACMJYYBABhLDAMAMJYYBgBgrE1juKoeU1W/XVV/XFVvq6rnL8vPqaprq+rG5fGR6x8XAAC2\nzipnhu9M8q3d/cQkn5PkG6vqiUkuT3K4u89Pcnh5DQAAu8amMdzdt3X37y/PP5jkhiSPSnJxkkPL\nZoeSXLKuIQEAYB3u1TXDVbU/yZOSvCnJvu6+bVl1e5J9p9jnsqo6UlVHjh07dgajAgDA1lo5hqvq\nIUl+Jcm3dPcHTlzX3Z2kT7Zfd1/Z3Qe6+8DevXvPaFgAANhKK8VwVZ2djRD++e5+5bL4vVV13rL+\nvCRH1zMiAACsxyqfJlFJXprkhu7+0RNWXZPk4PL8YJKrt348AABYnz0rbPN5SZ6b5Pqqesuy7LuS\nXJHkqqp6XpJbkly6nhEBAGA9No3h7n59kjrF6gu3dhwAANg+7kAHAMBYYhgAgLHEMAAAY4lhAADG\nEsMAAIwlhgEAGEsMAwAwlhgGAGAsMQwAwFhiGACAscQwAABjiWEAAMYSwwAAjCWGAQAYSwwDADCW\nGAYAYCwxDADAWGIYAICxxDAAAGOJYQAAxhLDAACMJYYBABhLDAMAMJYYBgBgLDEMAMBYYhgAgLHE\nMAAAY4lhAADGEsMAAIwlhgEAGEsMAwAwlhgGAGAsMQwAwFhiGACAscQwAABjiWEAAMYSwwAAjCWG\nAQAYSwwDADCWGAYAYCwxDADAWGIYAICxxDAAAGOJYQAAxhLDAACMtWenBwAA5tl/+at3egRI4sww\nAACDiWEAAMYSwwAAjCWGAQAYSwwDADCWGAYAYCwxDADAWGIYAICxxDAAAGOJYQAAxhLDAACMJYYB\nABhLDAMAMJYYBgBgLDEMAMBYYhgAgLHEMAAAY20aw1X1sqo6WlV/dMKyc6rq2qq6cXl85HrHBACA\nrbfKmeGXJ3nWPZZdnuRwd5+f5PDyGgAAdpVNY7i7X5fkz++x+OIkh5bnh5JcssVzAQDA2p3uNcP7\nuvu25fntSfadasOquqyqjlTVkWPHjp3m2wEAwNY7479A192dpD/K+iu7+0B3H9i7d++Zvh0AAGyZ\n043h91bVeUmyPB7dupEAAGB7nG4MX5Pk4PL8YJKrt2YcAADYPqt8tNovJnlDksdX1a1V9bwkVyR5\nelXdmORLltcAALCr7Nlsg+7+qlOsunCLZwEAgG3lDnQAAIwlhgEAGEsMAwAwlhgGAGAsMQwAwFhi\nGACAscQwAABjiWEAAMYSwwAAjCWGAQAYSwwDADCWGAYAYCwxDADAWGIYAICxxDAAAGOJYQAAxhLD\nAACMJYYBABhLDAMAMJYYBgBgLDEMAMBYYhgAgLHEMAAAY4lhAADGEsMAAIwlhgEAGEsMAwAwlhgG\nAGAsMQwAwFhiGACAscQwAABjiWEAAMYSwwAAjCWGAQAYSwwDADCWGAYAYCwxDADAWGIYAICxxDAA\nAGOJYQAAxhLDAACMJYYBABhLDAMAMJYYBgBgLDEMAMBYYhgAgLHEMAAAY4lhAADGEsMAAIwlhgEA\nGEsMAwAwlhgGAGAsMQwAwFhiGACAscQwAABjiWEAAMYSwwAAjCWGAQAYSwwDADDWnp0eYDvsv/zV\nOz3Ctrv5iufs9AgAu46fFzCPM8MAAIwlhgEAGOuMYriqnlVV76iqm6rq8q0aCgAAtsNpx3BVnZXk\nRUkuSvLEJF9VVU/cqsEAAGDdzuTM8FOS3NTd7+zuv0nyiiQXb81YAACwfmcSw49K8mcnvL51WQYA\nALvC2j9araouS3LZ8vJDVfWOdb8nSf3g2t/i3CTvW/u7sJMc4xkc5xlOeZy34ecF28dx/oc+aZWN\nziSG35PkMSe8fvSy7B/o7iuTXHkG78N9UFUd6e4DOz0H6+MYz+A4z+A4z+A4n54zuUzi95KcX1Wf\nXFUPSPKVSa7ZmrEAAGD9TvvMcHffWVXflOQ3kpyV5GXd/bYtmwwAANbsjK4Z7u7XJHnNFs3C7uLS\nl/s/x3gGx3kGx3kGx/k0VHfv9AwAALAj3I4ZAICxxDCntNnttqvqa6rqrVV1fVX9blVdsBNzcmZW\nva16VT25qu6sqq/YzvnYGqsc56r6wqp6S1W9rar+93bPyJlZ4c/sh1fV/6yqP1yO8dfvxJycmap6\nWVUdrao/OsX6qqqfXP49eGtVfeZ2z7jbiGFOasXbbb8ryRd09z9P8v1xrdKus+pt1ZftfjDJb27v\nhGyFVY5zVT0iyU8l+bLu/mdJ/tW2D8ppW/H38jcm+ePuviDJFyb5keXToNhdXp7kWR9l/UVJzl++\nLkvy4m2YaVcTw5zKprfb7u7f7e73Ly/fmI3PmmZ3WfW26t+c5FeSHN3O4dgyqxznr07yyu5+d5J0\nt2O9u6xyjDvJQ6uqkjwkyZ8nuXN7x+RMdffrsnHsTuXiJD/bG96Y5BFVdd72TLc7iWFO5d7ebvt5\nSX5trROxDpse56p6VJIvj7MLu9kqv58fl+SRVfXaqrquqr5226ZjK6xyjF+Y5FOT/N8k1yd5fnff\nvT3jsY3u7c/v8dZ+O2bu/6rqi7IRw0/b6VlYix9P8h3dfffGCSXup/Yk+awkFyZ5cJI3VNUbu/tP\ndnYsttAzk7wlyRcn+ZQk11bV73T3B3Z2LNhZYphTWel221X16UlekuSi7r5jm2Zj66xynA8kecUS\nwucmeXZV3dnd/2N7RmQLrHKcb01yR3d/OMmHq+p1SS5IIoZ3h1WO8dcnuaI3PlP1pqp6V5InJHnz\n9ozINlnp5zd/z2USnMqmt9uuqscmeWWS5zp7tGttepy7+5O7e39370/yy0m+QQjvOpse5yRXJ3la\nVe2pqo9N8tlJbtjmOTl9qxzjd2fjzH+qal+Sxyd557ZOyXa4JsnXLp8q8TlJ/rK7b9vpoe7LnBnm\npE51u+2q+vfL+p9O8p+SfHySn1rOGt7Z3Qd2ambuvRWPM7vcKse5u2+oql9P8tYkdyd5SXef9KOb\nuO9Z8ffy9yd5eVVdn6SycfnT+3ZsaE5LVf1iNj4N5NyqujXJ9yQ5O/m74/yaJM9OclOSj2Tj/wjw\nUbgDHQAAY7lMAgCAscQwAABjiWEAAMYSwwAAjCWGAQAYSwwDADCWGAYAYCwxDADAWP8fgB03bsYO\nDGQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f03cd1d3690>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f03ccb5c7d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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ZzrTzGesdw6r6oiSHktwnyS1V9bwkZ27XN2beWg0AgLFcJgEAwFhiGACAscQw\nAABjiWEAAMYSwwAAjCWGAQAYSwwDADCWGAYAYKz/B7q8nda4wMgKAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f03cfc85810>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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EMAAAY4lhAADGEsMAAIwlhgEAGEsMAwAwlhgGAGAsMQwAwFhiGACAscQwAABjiWEAAMYS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\nWGIYAICxxDAAAGOJYQAAxvo/tvbMyHuKYJAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f03d0b50990>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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quiPJzyc5Pvn/7//uJBck2ZvkM1n4Pw6swJ3+AABgwCUZAAAwIJgBAGBAMAMA\nwIBgBgCAAcEMAAADghkAAAYEMwAADAhmAAAY+H9MEUspTw9x4gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f03ccb55590>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f03cc81f250>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f03cc3d6350>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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BwQwAAAOCGQAABgQzAAAMCGYAABgQzAAAMCCYAQBgQDADAMCAYAYAgAHBDAAAA4IZAAAG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\nRK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f03cc4e9250>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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NbjXnubvfV1VvTHJjkgeT/HZ3L/mxVRydVvn7+eeSXFlVNyWpLNxude/cJs1D\nVlVXZeETTk6qqjuTvCzJ8cnW7y9P+gMAgIHNeEsGAABsGMEMAAADghkAAAYEMwAADAhmAAAYEMwA\nADAgmAEAYEAwAwDAwP8D08idwZrRuNkAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f03ccaa7ed0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f03cca70250>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in range(11):\n",
    "    fname = 'ch2_'+str(i)+'_ns59.ascii'\n",
    "    fig = plt.figure(figsize=(12, 9))\n",
    "    cor = np.loadtxt(fname)\n",
    "    plt.hist(cor, bins = np.arange(min(cor), max(cor)+0.1, 0.05))\n",
    "    plt.title(fname)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "====================================\n",
      "Loading data for satellite  59\n",
      "File : https://www.ngdc.noaa.gov/stp/space-weather/satellite-data/satellite-systems/gps/data/ns59/ns59_061008_v1.03.ascii\n"
     ]
    }
   ],
   "source": [
    "#Test 9th Oct 2006\n",
    "\n",
    "start_date = datetime(2006,10,8,0,0,0);\n",
    "end_date = datetime(2006,10,9,0,0,0);\n",
    "ms = gps_particle_data.meta_search();\n",
    "ms.load_data(start_date,end_date);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{0: array([ 0.87305073]), 1: array([ 0.94204532]), 2: array([ 1.]), 3: array([ 0.80692966]), 4: array([ 0.56820298]), 5: array([ 0.50170034]), 6: array([ 0.44089433]), 7: array([ 0.41378245]), 8: array([ 0.56745853]), 9: array([ 0.56006684]), 10: array([ 0.51876534])}\n"
     ]
    }
   ],
   "source": [
    "dcor = {}\n",
    "signal = 'rate_electron_measured'\n",
    "output_data = ms.get_all_data_by_satellite()\n",
    "for i in range(11):\n",
    "    a0 = np.asarray(output_data[59][signal])[:,2]\n",
    "    ar2 = np.asarray(output_data[59][signal])[:,i]\n",
    "    cor = np.correlate(a0, ar2)/(math.sqrt(np.sum(a0**2)*np.sum(ar2**2)))\n",
    "    dcor.update({i:cor})\n",
    "print dcor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ch2_0_ns59.ascii [ 0.87305073] 0.43\n",
      "ch2_1_ns59.ascii [ 0.94204532] 0.51\n",
      "ch2_2_ns59.ascii [ 1.] 1.00\n",
      "ch2_3_ns59.ascii [ 0.80692966] 0.11\n",
      "ch2_4_ns59.ascii [ 0.56820298] 0.08\n",
      "ch2_5_ns59.ascii [ 0.50170034] 0.16\n",
      "ch2_6_ns59.ascii [ 0.44089433] 0.18\n",
      "ch2_7_ns59.ascii [ 0.41378245] 0.18\n",
      "ch2_8_ns59.ascii [ 0.56745853] 0.34\n",
      "ch2_9_ns59.ascii [ 0.56006684] 0.25\n",
      "ch2_10_ns59.ascii [ 0.51876534] 0.26\n"
     ]
    }
   ],
   "source": [
    "xv = dcor.values()\n",
    "for i in range(len(xv)):\n",
    "    sum_bins_up_to = []\n",
    "    fname = 'ch2_'+str(i)+'_ns59.ascii'\n",
    "    cor = np.loadtxt(fname)\n",
    "    sort = np.histogram(cor, bins = np.arange(min(cor), max(cor)+0.1, 0.05))\n",
    "    for j in range(len(sort[1])):\n",
    "        if sort[1][j] <= xv[i] <= sort[1][j+1]:\n",
    "            for k in np.arange(j+1):\n",
    "                sum_bins_up_to.append(sort[0][k])\n",
    "            tot_sum_up_to = np.sum(sum_bins_up_to)\n",
    "            pvalue = float(tot_sum_up_to)/float(np.sum(sort[0]))\n",
    "            print fname, xv[i], '%.2f' % (pvalue)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "====================================\n",
      "Loading data for satellite  59\n",
      "File : https://www.ngdc.noaa.gov/stp/space-weather/satellite-data/satellite-systems/gps/data/ns59/ns59_090524_v1.03.ascii\n"
     ]
    }
   ],
   "source": [
    "#Test 25th May 2009\n",
    "\n",
    "start_date = datetime(2009,5,20,0,0,0);\n",
    "end_date = datetime(2009,5,26,0,0,0);\n",
    "ms = gps_particle_data.meta_search();\n",
    "ms.load_data(start_date,end_date);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{0: array([ 0.66382697]), 1: array([ 0.78089147]), 2: array([ 1.]), 3: array([ 0.94055335]), 4: array([ 0.90642332]), 5: array([ 0.79882213]), 6: array([ 0.79120794]), 7: array([ 0.86152105]), 8: array([ 0.85661073]), 9: array([ 0.85717284]), 10: array([ 0.85484458])}\n"
     ]
    }
   ],
   "source": [
    "dcor = {}\n",
    "signal = 'rate_electron_measured'\n",
    "output_data = ms.get_all_data_by_satellite()\n",
    "for i in range(11):\n",
    "    a0 = np.asarray(output_data[59][signal])[:,2]\n",
    "    ar2 = np.asarray(output_data[59][signal])[:,i]\n",
    "    cor = np.correlate(a0, ar2)/(math.sqrt(np.sum(a0**2)*np.sum(ar2**2)))\n",
    "    dcor.update({i:cor})\n",
    "print dcor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ch2_0_ns59.ascii [ 0.66382697] 0.15\n",
      "ch2_1_ns59.ascii [ 0.78089147] 0.03\n",
      "ch2_2_ns59.ascii [ 1.] 1.00\n",
      "ch2_3_ns59.ascii [ 0.94055335] 0.49\n",
      "ch2_4_ns59.ascii [ 0.90642332] 0.78\n",
      "ch2_5_ns59.ascii [ 0.79882213] 0.60\n",
      "ch2_6_ns59.ascii [ 0.79120794] 0.70\n",
      "ch2_7_ns59.ascii [ 0.86152105] 0.93\n",
      "ch2_8_ns59.ascii [ 0.85661073] 0.87\n",
      "ch2_9_ns59.ascii [ 0.85717284] 0.83\n",
      "ch2_10_ns59.ascii [ 0.85484458] 0.92\n"
     ]
    }
   ],
   "source": [
    "xv = dcor.values()\n",
    "for i in range(len(xv)):\n",
    "    sum_bins_up_to = []\n",
    "    fname = 'ch2_'+str(i)+'_ns59.ascii'\n",
    "    cor = np.loadtxt(fname)\n",
    "    sort = np.histogram(cor, bins = np.arange(min(cor), max(cor)+0.1, 0.05))\n",
    "    for j in range(len(sort[1])):\n",
    "        if sort[1][j] <= xv[i] <= sort[1][j+1]:\n",
    "            for k in np.arange(j+1):\n",
    "                sum_bins_up_to.append(sort[0][k])\n",
    "            tot_sum_up_to = np.sum(sum_bins_up_to)\n",
    "            pvalue = float(tot_sum_up_to)/float(np.sum(sort[0]))\n",
    "            print fname, xv[i], '%.2f' % (pvalue)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "====================================\n",
      "Loading data for satellite  59\n",
      "File : https://www.ngdc.noaa.gov/stp/space-weather/satellite-data/satellite-systems/gps/data/ns59/ns59_130210_v1.03.ascii\n"
     ]
    }
   ],
   "source": [
    "#Test 12th Feb 2013\n",
    "\n",
    "start_date = datetime(2013,2,9,0,0,0);\n",
    "end_date = datetime(2013,2,13,0,0,0);\n",
    "ms = gps_particle_data.meta_search();\n",
    "ms.load_data(start_date,end_date);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{0: array([ 0.68037488]), 1: array([ 0.97176753]), 2: array([ 1.]), 3: array([ 0.94877036]), 4: array([ 0.57530281]), 5: array([ 0.3996414]), 6: array([ 0.27240629]), 7: array([ 0.22391387]), 8: array([ 0.25821964]), 9: array([ 0.35042389]), 10: array([ 0.42720971])}\n"
     ]
    }
   ],
   "source": [
    "dcor = {}\n",
    "signal = 'rate_electron_measured'\n",
    "output_data = ms.get_all_data_by_satellite()\n",
    "for i in range(11):\n",
    "    a0 = np.asarray(output_data[59][signal])[:,2]\n",
    "    ar2 = np.asarray(output_data[59][signal])[:,i]\n",
    "    cor = np.correlate(a0, ar2)/(math.sqrt(np.sum(a0**2)*np.sum(ar2**2)))\n",
    "    dcor.update({i:cor})\n",
    "print dcor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ch2_0_ns59.ascii [ 0.68037488] 0.16\n",
      "ch2_1_ns59.ascii [ 0.97176753] 1.00\n",
      "ch2_2_ns59.ascii [ 1.] 1.00\n",
      "ch2_3_ns59.ascii [ 0.94877036] 0.99\n",
      "ch2_4_ns59.ascii [ 0.57530281] 0.14\n",
      "ch2_5_ns59.ascii [ 0.3996414] 0.06\n",
      "ch2_6_ns59.ascii [ 0.27240629] 0.06\n",
      "ch2_7_ns59.ascii [ 0.22391387] 0.04\n",
      "ch2_8_ns59.ascii [ 0.25821964] 0.01\n",
      "ch2_9_ns59.ascii [ 0.35042389] 0.03\n",
      "ch2_10_ns59.ascii [ 0.42720971] 0.09\n"
     ]
    }
   ],
   "source": [
    "xv = dcor.values()\n",
    "for i in range(len(xv)):\n",
    "    sum_bins_up_to = []\n",
    "    fname = 'ch2_'+str(i)+'_ns59.ascii'\n",
    "    cor = np.loadtxt(fname)\n",
    "    sort = np.histogram(cor, bins = np.arange(min(cor), max(cor)+0.1, 0.05))\n",
    "    for j in range(len(sort[1])):\n",
    "        if sort[1][j] <= xv[i] <= sort[1][j+1]:\n",
    "            for k in np.arange(j+1):\n",
    "                sum_bins_up_to.append(sort[0][k])\n",
    "            tot_sum_up_to = np.sum(sum_bins_up_to)\n",
    "            pvalue = float(tot_sum_up_to)/float(np.sum(sort[0]))\n",
    "            print fname, xv[i], '%.2f' % (pvalue)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "====================================\n",
      "Loading data for satellite  59\n",
      "File : https://www.ngdc.noaa.gov/stp/space-weather/satellite-data/satellite-systems/gps/data/ns59/ns59_160103_v1.03.ascii\n"
     ]
    }
   ],
   "source": [
    "#Test 6th Jan 2016\n",
    "\n",
    "start_date = datetime(2016,1,2,0,0,0);\n",
    "end_date = datetime(2016,1,7,0,0,0);\n",
    "ms = gps_particle_data.meta_search();\n",
    "ms.load_data(start_date,end_date)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{0: array([ 0.99230772]), 1: array([ 0.99716444]), 2: array([ 1.]), 3: array([ 0.98769164]), 4: array([ 0.96434415]), 5: array([ 0.95040146]), 6: array([ 0.93425413]), 7: array([ 0.91712068]), 8: array([ 0.92258785]), 9: array([ 0.93824642]), 10: array([ 0.93892139])}\n"
     ]
    }
   ],
   "source": [
    "dcor = {}\n",
    "signal = 'rate_electron_measured'\n",
    "output_data = ms.get_all_data_by_satellite()\n",
    "for i in range(11):\n",
    "    a0 = np.asarray(output_data[59][signal])[:,2]\n",
    "    ar2 = np.asarray(output_data[59][signal])[:,i]\n",
    "    cor = np.correlate(a0, ar2)/(math.sqrt(np.sum(a0**2)*np.sum(ar2**2)))\n",
    "    dcor.update({i:cor})\n",
    "print dcor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ch2_0_ns59.ascii [ 0.99230772] 1.00\n",
      "ch2_1_ns59.ascii [ 0.99716444] 1.00\n",
      "ch2_2_ns59.ascii [ 1.] 1.00\n",
      "ch2_3_ns59.ascii [ 0.98769164] 0.99\n",
      "ch2_4_ns59.ascii [ 0.96434415] 0.96\n",
      "ch2_5_ns59.ascii [ 0.95040146] 0.97\n",
      "ch2_6_ns59.ascii [ 0.93425413] 0.96\n",
      "ch2_7_ns59.ascii [ 0.91712068] 0.99\n",
      "ch2_8_ns59.ascii [ 0.92258785] 0.99\n",
      "ch2_9_ns59.ascii [ 0.93824642] 1.00\n",
      "ch2_10_ns59.ascii [ 0.93892139] 0.99\n"
     ]
    }
   ],
   "source": [
    "xv = dcor.values()\n",
    "for i in range(len(xv)):\n",
    "    sum_bins_up_to = []\n",
    "    fname = 'ch2_'+str(i)+'_ns59.ascii'\n",
    "    cor = np.loadtxt(fname)\n",
    "    sort = np.histogram(cor, bins = np.arange(min(cor), max(cor)+0.1, 0.05))\n",
    "    for j in range(len(sort[1])):\n",
    "        if sort[1][j] <= xv[i] <= sort[1][j+1]:\n",
    "            for k in np.arange(j+1):\n",
    "                sum_bins_up_to.append(sort[0][k])\n",
    "            tot_sum_up_to = np.sum(sum_bins_up_to)\n",
    "            pvalue = float(tot_sum_up_to)/float(np.sum(sort[0]))\n",
    "            print fname, xv[i], '%.2f' % (pvalue)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "====================================\n",
      "Loading data for satellite  59\n",
      "File : https://www.ngdc.noaa.gov/stp/space-weather/satellite-data/satellite-systems/gps/data/ns59/ns59_160904_v1.03.ascii\n"
     ]
    }
   ],
   "source": [
    "#Test 9th Sept 2016\n",
    "\n",
    "start_date = datetime(2016,9,4,0,0,0);\n",
    "end_date = datetime(2016,9,10,0,0,0);\n",
    "ms = gps_particle_data.meta_search();\n",
    "ms.load_data(start_date,end_date)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{0: array([ 0.9956878]), 1: array([ 0.99864357]), 2: array([ 1.]), 3: array([ 0.99565808]), 4: array([ 0.97472231]), 5: array([ 0.95996842]), 6: array([ 0.93342207]), 7: array([ 0.89494962]), 8: array([ 0.88238411]), 9: array([ 0.92340654]), 10: array([ 0.92497085])}\n"
     ]
    }
   ],
   "source": [
    "dcor = {}\n",
    "signal = 'rate_electron_measured'\n",
    "output_data = ms.get_all_data_by_satellite()\n",
    "for i in range(11):\n",
    "    a0 = np.asarray(output_data[59][signal])[:,2]\n",
    "    ar2 = np.asarray(output_data[59][signal])[:,i]\n",
    "    cor = np.correlate(a0, ar2)/(math.sqrt(np.sum(a0**2)*np.sum(ar2**2)))\n",
    "    dcor.update({i:cor})\n",
    "print dcor"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ch2_0_ns59.ascii [ 0.9956878] 1.00\n",
      "ch2_1_ns59.ascii [ 0.99864357] 1.00\n",
      "ch2_2_ns59.ascii [ 1.] 1.00\n",
      "ch2_3_ns59.ascii [ 0.99565808] 1.00\n",
      "ch2_4_ns59.ascii [ 0.97472231] 1.00\n",
      "ch2_5_ns59.ascii [ 0.95996842] 0.97\n",
      "ch2_6_ns59.ascii [ 0.93342207] 0.96\n",
      "ch2_7_ns59.ascii [ 0.89494962] 0.93\n",
      "ch2_8_ns59.ascii [ 0.88238411] 0.95\n",
      "ch2_9_ns59.ascii [ 0.92340654] 0.96\n",
      "ch2_10_ns59.ascii [ 0.92497085] 0.99\n"
     ]
    }
   ],
   "source": [
    "xv = dcor.values()\n",
    "for i in range(len(xv)):\n",
    "    sum_bins_up_to = []\n",
    "    fname = 'ch2_'+str(i)+'_ns59.ascii'\n",
    "    cor = np.loadtxt(fname)\n",
    "    sort = np.histogram(cor, bins = np.arange(min(cor), max(cor)+0.1, 0.05))\n",
    "    for j in range(len(sort[1])):\n",
    "        if sort[1][j] <= xv[i] <= sort[1][j+1]:\n",
    "            for k in np.arange(j+1):\n",
    "                sum_bins_up_to.append(sort[0][k])\n",
    "            tot_sum_up_to = np.sum(sum_bins_up_to)\n",
    "            pvalue = float(tot_sum_up_to)/float(np.sum(sort[0]))\n",
    "            print fname, xv[i], '%.2f' % (pvalue)"
   ]
  }
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