{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Populating the interactive namespace from numpy and matplotlib\n" ] } ], "source": [ "% pylab inline\n", "import urllib2\n", "\n", "\n", "\n", "\n", "\n", " " ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": false }, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false, "scrolled": false }, "outputs": [], "source": [ "def data_array(data):\n", " datas = urllib2.urlopen(data)\n", " lines = datas.readlines()\n", " for k,l in enumerate(lines):\n", " lines[k] = l.strip().split()\n", " for i,j in enumerate(lines[k]):\n", " try: \n", " lines[k][i] = float(j)\n", " except 'VallueError':\n", " print('not a number')\n", " return array(lines)" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [], "source": [ "shots = zeros([3052,2])\n", "vyboje = [9466,\n", "9467,\n", "9468,\n", "9469,\n", "9526,\n", "9527,\n", "9536,\n", "9537,\n", "9538,\n", "9540,\n", "9544,\n", "9545,\n", "9546,\n", "9547,\n", "9548,\n", "9549,\n", "9550,\n", "9551,\n", "9552,\n", "9553,\n", "9554,\n", "9555,\n", "9556,\n", "9557,\n", "9558,\n", "9559,\n", "9560,\n", "9561,\n", "9562,\n", "9563,\n", "9564,\n", "9565,\n", "9566,\n", "9567,\n", "9568,\n", "9569,\n", "9570,\n", "9571,\n", "9572,\n", "9573,\n", "9574,\n", "9575,\n", "9576,\n", "9577,\n", "9578,\n", "9579,\n", "9580,\n", "9581,\n", "9582,\n", "9587,\n", "9588,\n", "9589,\n", "9590,\n", "9591,\n", "9592,\n", "9593,\n", "9594,\n", "9595,\n", "9596,\n", "9597,\n", "9598,\n", "9600,\n", "9601,\n", "9602,\n", "9603,\n", "9604,\n", "9605,\n", "9606,\n", "9607,\n", "9608,\n", "9609,\n", "9610,\n", "9611,\n", "9613,\n", "9614,\n", 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"stream", "text": [ "C:\\Users\\Veverkax\\Anaconda2\\lib\\site-packages\\ipykernel\\__main__.py:9: DeprecationWarning: catching of string exceptions is deprecated\n" ] } ], "source": [ "for i,j in enumerate(vyboje):\n", " shots[i,0] = int(j)\n", " try:\n", " if data_array('http://golem.fjfi.cvut.cz/utils/data/%i/preionization'%j)[0,0]==1.0:\n", " try: \n", " shots[i,1] = float(data_array('http://golem.fjfi.cvut.cz/utils/data/%i/breakdown_voltage'%j)[0,0])\n", " except:\n", " shots[i,1] = None \n", " except:\n", " shots[i,1] = None\n", " \n" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "collapsed": false }, "outputs": [ { "data": { "text/plain": [ "array([[ 9.46600000e+03, 7.20398000e+00],\n", " [ 9.46700000e+03, 7.33826000e+00],\n", " [ 9.46800000e+03, 7.49939000e+00],\n", " ..., \n", " [ 1.68650000e+04, 9.50684000e+00],\n", " [ 1.68660000e+04, 9.54040000e+00],\n", " [ 1.68670000e+04, 9.43970000e+00]])" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "shots" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import numpy as np\n", "np.savetxt('shotsbd_b.txt',shots)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] } ], "metadata": { "anaconda-cloud": {}, "kernelspec": { "display_name": "Python [conda root]", "language": "python", "name": "conda-root-py" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", "version": "2.7.12" } }, "nbformat": 4, "nbformat_minor": 0 }