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1 | { | |||
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2 | "cells": [ | |||
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3 | { | |||
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4 | "cell_type": "code", | |||
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5 | "execution_count": 1, | |||
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6 | "metadata": { | |||
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7 | "collapsed": true | |||
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8 | }, | |||
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9 | "outputs": [], | |||
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10 | "source": [ | |||
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11 | "import numpy as np\n", | |||
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12 | "import matplotlib\n", | |||
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13 | "matplotlib.use('Agg')\n", | |||
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14 | "import matplotlib.pyplot as plt\n", | |||
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15 | "import pandas as pds\n", | |||
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16 | "import os\n", | |||
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17 | "import glob\n", | |||
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18 | "from multiprocessing import dummy\n", | |||
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19 | "\n", | |||
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20 | "pool = dummy.Pool(3)\n", | |||
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21 | "\n", | |||
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22 | "files=glob.glob(\"/home/jeandet/Documents/DATA/BOOT_CUR_*C_*V.txt.csv.fixed.calibrated\")" | |||
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23 | ] | |||
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24 | }, | |||
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25 | { | |||
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26 | "cell_type": "code", | |||
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27 | "execution_count": 2, | |||
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28 | "metadata": {}, | |||
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29 | "outputs": [], | |||
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30 | "source": [ | |||
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31 | "power_on_left_index=325000\n", | |||
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32 | "power_on_right_index=350000\n", | |||
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33 | "\n", | |||
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34 | "memory_wash_index={}\n", | |||
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35 | "sw_start_index={}\n", | |||
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36 | "for file in files:\n", | |||
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37 | " calibrated=pds.read_csv(file,sep=\"\\t\")\n", | |||
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38 | " \n", | |||
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39 | " avg=calibrated[\"CH2\"].iloc[7000000:7000500].mean()\n", | |||
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40 | " memory_wash_index[file]=np.where(calibrated[\"CH2\"].iloc[7000000:8000000]>=avg+30)[0][0]+7000000\n", | |||
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41 | " \n", | |||
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42 | " avg=calibrated[\"CH2\"].iloc[10100000:10100500].mean()\n", | |||
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43 | " sw_start_index[file]=np.where(calibrated[\"CH2\"].iloc[10300000:10800000]>=avg+30)[0][0]+10300000\n", | |||
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44 | " \n", | |||
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45 | " del calibrated\n", | |||
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46 | "\n", | |||
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47 | "\"\"\"\n", | |||
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48 | "18+1 pulses, each RMAP packet is limited to 4*4000 bytes\n", | |||
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49 | "LFR FSW 3.0.0.22:\n", | |||
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50 | ".text segment = 285136 bytes\n", | |||
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51 | ".data segment = 4976 bytes\n", | |||
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52 | "\n", | |||
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53 | "-> .text correspond to 17.821 packets or 17x16000 bytes packets plus 1x13136 bytes packet\n", | |||
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54 | "-> .data correspond to 0.311 packet \n", | |||
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55 | "\n", | |||
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56 | "Auto detected before sw start\n", | |||
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57 | "\"\"\"\n", | |||
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58 | "\n", | |||
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59 | "\n", | |||
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60 | "SBM1_left_index=14100000\n", | |||
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61 | "SBM1_right_index=14350000\n", | |||
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62 | "\n" | |||
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63 | ] | |||
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64 | }, | |||
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65 | { | |||
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66 | "cell_type": "code", | |||
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67 | "execution_count": 3, | |||
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68 | "metadata": { | |||
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69 | "collapsed": true | |||
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70 | }, | |||
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71 | "outputs": [], | |||
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72 | "source": [ | |||
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73 | "def plot(df,left,right,sufix):\n", | |||
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74 | " if not os.path.isfile(file+sufix):\n", | |||
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75 | " ax=df.iloc[left:right].plot(figsize=(24,12))\n", | |||
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76 | " plt.ylabel('Current (mA)')\n", | |||
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77 | " plt.xlabel('Time (Β΅s)')\n", | |||
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78 | " plt.savefig(file+sufix,dpi=1200,format='pdf')\n", | |||
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79 | " plt.close()" | |||
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80 | ] | |||
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81 | }, | |||
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82 | { | |||
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83 | "cell_type": "code", | |||
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84 | "execution_count": 4, | |||
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85 | "metadata": { | |||
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86 | "collapsed": true | |||
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87 | }, | |||
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88 | "outputs": [], | |||
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89 | "source": [ | |||
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90 | "for file in files:\n", | |||
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91 | " if not os.path.isfile(file+\".pdf\"):\n", | |||
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92 | " calibrated=pds.read_csv(file,sep=\"\\t\")\n", | |||
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93 | " plot(calibrated,power_on_left_index,power_on_right_index,\"_power_on.pdf\")\n", | |||
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94 | "\n", | |||
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95 | " index=memory_wash_index[file]\n", | |||
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96 | " plot(calibrated,index-10000,index+150000,\"_memory_wash.pdf\")\n", | |||
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97 | "\n", | |||
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98 | " index=sw_start_index[file]\n", | |||
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99 | " plot(calibrated,index-320000,index-500,\"_spw_upload.pdf\")\n", | |||
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100 | "\n", | |||
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101 | " index=sw_start_index[file]\n", | |||
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102 | " plot(calibrated,index-2000,index+500000,\"_sw_start.pdf\")\n", | |||
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103 | "\n", | |||
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104 | " plot(calibrated,SBM1_left_index,SBM1_right_index,\"_SBM1.pdf\")\n", | |||
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105 | "\n", | |||
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106 | " plot(calibrated,0,-1,\".pdf\")\n", | |||
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107 | " del calibrated\n" | |||
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108 | ] | |||
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109 | }, | |||
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110 | { | |||
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111 | "cell_type": "code", | |||
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112 | "execution_count": null, | |||
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113 | "metadata": { | |||
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114 | "collapsed": true | |||
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115 | }, | |||
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116 | "outputs": [], | |||
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117 | "source": [] | |||
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118 | } | |||
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119 | ], | |||
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120 | "metadata": { | |||
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121 | "kernelspec": { | |||
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122 | "display_name": "Python 3", | |||
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123 | "language": "python", | |||
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124 | "name": "python3" | |||
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125 | }, | |||
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126 | "language_info": { | |||
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127 | "codemirror_mode": { | |||
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128 | "name": "ipython", | |||
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129 | "version": 3 | |||
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130 | }, | |||
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131 | "file_extension": ".py", | |||
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132 | "mimetype": "text/x-python", | |||
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133 | "name": "python", | |||
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134 | "nbconvert_exporter": "python", | |||
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135 | "pygments_lexer": "ipython3", | |||
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136 | "version": "3.5.3" | |||
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137 | } | |||
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138 | }, | |||
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139 | "nbformat": 4, | |||
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140 | "nbformat_minor": 2 | |||
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141 | } | |||
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