{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## TESTS 20190411" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "import serial\n", "import time\n", "import datetime\n", "import pandas as pd\n", "%matplotlib inline\n", "import matplotlib.pyplot as plt\n", "plt.style.use('seaborn-deep')\n", "import numpy as np\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Test Notes\n", "\n", "### Configuration ###\n", "\n", "* NAL Power: `External 28VDC`\n", "* NAL Serial GND: `Connected to External B-`\n", "* CPF Power: `Off`\n", "* CPF Electronics: `NA`\n", "\n", "\n", "\n", "### Log ###\n", "* `2019-04-11T11:21` Started test, modem and antenna are in a rubbermaid bin, talking to laptop\n" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "def print_msg(filename, in_msg):\n", " if len(in_msg.decode('utf-8').rstrip()) is 0: \n", " return\n", " now = datetime.datetime.now()\n", " line = f\"MSG {now.strftime('%Y%m%d')} {now.strftime('%H%M%S')} {in_msg.decode('utf-8').rstrip()}\\n\"\n", " with open(filename, 'a') as f:\n", " f.write(line)\n", " print(line.rstrip())\n", " \n", "\n", "def print_csq(filename, in_msg):\n", " if len(in_msg.decode('utf-8').rstrip()) is 0: \n", " return\n", " now = datetime.datetime.now()\n", " line = f\"CSQ {now.strftime('%Y%m%d')} {now.strftime('%H%M%S')} {in_msg[5:6].decode('utf-8').rstrip()}\\n\"\n", " with open(filename,'a') as f:\n", " f.write(line)\n", " print(line.rstrip())\n", "\n", "def print_cier(filename, in_msg):\n", " if len(in_msg.decode('utf-8').rstrip()) is 0: \n", " return\n", " now = datetime.datetime.now()\n", " line = f\"CIEV {now.strftime('%Y%m%d')} {now.strftime('%H%M%S')} {in_msg[8:9].decode('utf-8').rstrip()}\\n\"\n", " with open(filename,'a') as f:\n", " f.write(line)\n", " print(line.rstrip())\n", " \n", "def serial_exchange(num_tries=10):\n", " MAX_RETRIES = 1\n", " with serial.Serial('COM4', \n", " baudrate=19200,\n", " bytesize=serial.EIGHTBITS, \n", " stopbits=serial.STOPBITS_ONE, \n", " parity=serial.PARITY_NONE, \n", " timeout=5) as ser:\n", " \n", " filename = datetime.datetime.now().strftime(\"%Y%m%dT%H%M%S_csqlog.txt\") \n", " out_message = ser.write(b'ATEN\\r')\n", " in_message = ser.readline()\n", " print_msg(filename, in_message)\n", " in_message = ser.readline()\n", " print_msg(filename, in_message)\n", " \n", " out_message = ser.write(b'AT+CIER=1,1,0\\r')\n", " in_message = ser.readline()\n", " print_msg(filename, in_message)\n", " in_message = ser.readline()\n", " print_msg(filename, in_message)\n", " \n", " #Get a bunch of CSQs\n", " last_len = 0;\n", " req_new_csq = True\n", " df = pd.DataFrame(columns=['date','csq', 'cier'])\n", " \n", " \n", " while True:\n", " \n", " if req_new_csq is True:\n", " ser.write(b'AT+CSQ\\r')\n", " req_new_csq = False\n", " num_tries -= 1\n", " \n", " in_message = ser.readline()\n", " print_msg(filename, in_message)\n", " \n", " if len(in_message) is 0: \n", " last_len+=1\n", " else:\n", " last_len = 0\n", " #figure out if its a CSQ or CIEV:0 message\n", " if len(in_message) >= 4:\n", " if in_message[0:5] == b'+CSQ:':\n", " print_csq(filename, in_message)\n", " now = datetime.datetime.now()\n", " row = {'date':now,'csq':int(in_message[5:6].decode('utf-8'))}\n", " df = df.append(row, ignore_index=True)\n", " df.to_csv(filename[:-3]+'csv',index=False)\n", " req_new_csq = True;\n", " if in_message[0:8] == b'+CIEV:0,':\n", " print_cier(filename, in_message)\n", " now = datetime.datetime.now()\n", " row = {'date':now,'cier':int(in_message[8:9].decode('utf-8'))}\n", " df = df.append(row, ignore_index=True)\n", " df.to_csv(filename[:-3]+'csv',index=False)\n", " \n", " \n", " if last_len > MAX_RETRIES:\n", " break;\n", " if num_tries < 0: \n", " break;\n", " \n", " return df\n", " " ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "MSG 20190411 112210 ATEN\n", "MSG 20190411 112210 OK\n", "MSG 20190411 112210 OK\n", "MSG 20190411 112210 +CIEV:0,3\n", "CIEV 20190411 112210 3\n", "MSG 20190411 112217 +CSQ:5\n", "CSQ 20190411 112217 5\n", "MSG 20190411 112217 OK\n", "MSG 20190411 112217 +CIEV:0,5\n", "CIEV 20190411 112217 5\n", "MSG 20190411 112221 +CSQ:5\n", "CSQ 20190411 112221 5\n", "MSG 20190411 112221 OK\n", "MSG 20190411 112230 +CSQ:5\n", "CSQ 20190411 112230 5\n", "MSG 20190411 112230 OK\n", "MSG 20190411 112233 +CSQ:5\n", "CSQ 20190411 112233 5\n", "MSG 20190411 112233 OK\n", "MSG 20190411 112239 +CSQ:5\n", "CSQ 20190411 112239 5\n", "MSG 20190411 112239 OK\n", "MSG 20190411 112241 +CSQ:5\n", "CSQ 20190411 112241 5\n", "MSG 20190411 112241 OK\n", "MSG 20190411 112247 +CSQ:5\n", "CSQ 20190411 112247 5\n", "MSG 20190411 112247 OK\n", "MSG 20190411 112250 +CSQ:5\n", "CSQ 20190411 112250 5\n", "MSG 20190411 112250 OK\n", "MSG 20190411 112256 +CSQ:5\n", "CSQ 20190411 112256 5\n", "MSG 20190411 112256 OK\n", "MSG 20190411 112259 +CSQ:5\n", "CSQ 20190411 112259 5\n", "MSG 20190411 112259 OK\n", "MSG 20190411 112307 +CSQ:5\n", "CSQ 20190411 112307 5\n", "MSG 20190411 112307 OK\n", "MSG 20190411 112316 +CSQ:5\n", "CSQ 20190411 112316 5\n", "MSG 20190411 112316 OK\n", "MSG 20190411 112325 +CSQ:5\n", "CSQ 20190411 112325 5\n", "MSG 20190411 112325 OK\n", "MSG 20190411 112333 +CSQ:5\n", "CSQ 20190411 112333 5\n", "MSG 20190411 112333 OK\n", "MSG 20190411 112342 +CSQ:5\n", "CSQ 20190411 112342 5\n", "MSG 20190411 112342 OK\n", "MSG 20190411 112351 +CSQ:5\n", "CSQ 20190411 112351 5\n", "MSG 20190411 112351 OK\n", "MSG 20190411 112356 +CSQ:5\n", "CSQ 20190411 112356 5\n", "MSG 20190411 112356 OK\n", "MSG 20190411 112359 +CSQ:5\n", "CSQ 20190411 112359 5\n", "MSG 20190411 112359 OK\n", "MSG 20190411 112405 +CSQ:5\n", "CSQ 20190411 112405 5\n", "MSG 20190411 112405 OK\n", "MSG 20190411 112407 +CSQ:5\n", "CSQ 20190411 112407 5\n", "MSG 20190411 112408 OK\n", "MSG 20190411 112413 +CSQ:5\n", "CSQ 20190411 112413 5\n", "MSG 20190411 112413 OK\n", "MSG 20190411 112417 +CSQ:5\n", "CSQ 20190411 112417 5\n", "MSG 20190411 112417 OK\n", "MSG 20190411 112422 +CSQ:5\n", "CSQ 20190411 112422 5\n", "MSG 20190411 112422 OK\n", "MSG 20190411 112426 +CSQ:5\n", "CSQ 20190411 112426 5\n", "MSG 20190411 112426 OK\n", "MSG 20190411 112430 +CSQ:5\n", "CSQ 20190411 112430 5\n", "MSG 20190411 112430 OK\n", "MSG 20190411 112434 +CSQ:5\n", "CSQ 20190411 112434 5\n", "MSG 20190411 112434 OK\n", "MSG 20190411 112439 +CSQ:5\n", "CSQ 20190411 112439 5\n", "MSG 20190411 112439 OK\n", "MSG 20190411 112442 +CSQ:5\n", "CSQ 20190411 112442 5\n", "MSG 20190411 112442 OK\n", "MSG 20190411 112449 +CSQ:4\n", "CSQ 20190411 112449 4\n", "MSG 20190411 112449 OK\n", "MSG 20190411 112449 +CIEV:0,4\n", "CIEV 20190411 112449 4\n", "MSG 20190411 112451 +CSQ:4\n", "CSQ 20190411 112452 4\n", "MSG 20190411 112452 OK\n", "MSG 20190411 112458 +CSQ:5\n", "CSQ 20190411 112458 5\n", "MSG 20190411 112458 OK\n", "MSG 20190411 112458 +CIEV:0,5\n", "CIEV 20190411 112458 5\n", "MSG 20190411 112500 +CSQ:5\n", "CSQ 20190411 112500 5\n", "MSG 20190411 112500 OK\n", "MSG 20190411 112505 +CSQ:5\n", "CSQ 20190411 112505 5\n", "MSG 20190411 112505 OK\n", "MSG 20190411 112509 +CSQ:5\n", "CSQ 20190411 112509 5\n", "MSG 20190411 112509 OK\n", "MSG 20190411 112514 +CSQ:5\n", "CSQ 20190411 112514 5\n", "MSG 20190411 112514 OK\n", "MSG 20190411 112517 +CSQ:5\n", "CSQ 20190411 112517 5\n", "MSG 20190411 112517 OK\n", "MSG 20190411 112523 +CSQ:5\n", "CSQ 20190411 112523 5\n", "MSG 20190411 112523 OK\n", "MSG 20190411 112526 +CSQ:5\n", "CSQ 20190411 112526 5\n", "MSG 20190411 112526 OK\n", "MSG 20190411 112531 +CSQ:5\n", "CSQ 20190411 112531 5\n", "MSG 20190411 112531 OK\n", "MSG 20190411 112535 +CSQ:5\n", "CSQ 20190411 112535 5\n", "MSG 20190411 112535 OK\n", "MSG 20190411 112540 +CSQ:5\n", "CSQ 20190411 112540 5\n", "MSG 20190411 112540 OK\n", "MSG 20190411 112543 +CSQ:5\n", "CSQ 20190411 112543 5\n", "MSG 20190411 112543 OK\n", "MSG 20190411 112550 +CSQ:5\n", "CSQ 20190411 112550 5\n", "MSG 20190411 112550 OK\n", "MSG 20190411 112552 +CSQ:5\n", "CSQ 20190411 112552 5\n", "MSG 20190411 112552 OK\n", "MSG 20190411 112558 +CSQ:5\n", "CSQ 20190411 112558 5\n", "MSG 20190411 112558 OK\n", "MSG 20190411 112601 +CSQ:5\n", "CSQ 20190411 112601 5\n", "MSG 20190411 112601 OK\n", "MSG 20190411 112607 +CSQ:5\n", "CSQ 20190411 112607 5\n", "MSG 20190411 112607 OK\n", "MSG 20190411 112608 +CSQ:5\n", "CSQ 20190411 112608 5\n", "MSG 20190411 112608 OK\n", "MSG 20190411 112615 +CSQ:5\n", "CSQ 20190411 112615 5\n", "MSG 20190411 112615 OK\n", "MSG 20190411 112618 +CSQ:5\n", "CSQ 20190411 112618 5\n", "MSG 20190411 112618 OK\n", "MSG 20190411 112624 +CSQ:5\n", "CSQ 20190411 112624 5\n", "MSG 20190411 112624 OK\n", "MSG 20190411 112627 +CSQ:5\n", "CSQ 20190411 112627 5\n", "MSG 20190411 112627 OK\n", "MSG 20190411 112633 +CSQ:5\n", "CSQ 20190411 112633 5\n", "MSG 20190411 112633 OK\n", "MSG 20190411 112634 +CSQ:5\n", "CSQ 20190411 112634 5\n", "MSG 20190411 112634 OK\n", "MSG 20190411 112640 +CSQ:5\n", "CSQ 20190411 112640 5\n", "MSG 20190411 112640 OK\n", "MSG 20190411 112643 +CSQ:5\n", "CSQ 20190411 112643 5\n", "MSG 20190411 112643 OK\n", "MSG 20190411 112648 +CSQ:5\n", "CSQ 20190411 112648 5\n", "MSG 20190411 112648 OK\n", "MSG 20190411 112651 +CSQ:5\n", "CSQ 20190411 112651 5\n", "MSG 20190411 112651 OK\n", "MSG 20190411 112657 +CSQ:5\n", "CSQ 20190411 112657 5\n", "MSG 20190411 112657 OK\n", "MSG 20190411 112700 +CSQ:5\n", "CSQ 20190411 112700 5\n", "MSG 20190411 112700 OK\n", "MSG 20190411 112706 +CSQ:5\n", "CSQ 20190411 112706 5\n", "MSG 20190411 112706 OK\n", "MSG 20190411 112709 +CSQ:5\n", "CSQ 20190411 112709 5\n", "MSG 20190411 112709 OK\n", "MSG 20190411 112714 +CSQ:5\n", "CSQ 20190411 112714 5\n", "MSG 20190411 112714 OK\n", "MSG 20190411 112718 +CSQ:5\n", "CSQ 20190411 112718 5\n", "MSG 20190411 112718 OK\n", "MSG 20190411 112723 +CSQ:4\n", "CSQ 20190411 112723 4\n", "MSG 20190411 112723 OK\n", "MSG 20190411 112723 +CIEV:0,4\n", "CIEV 20190411 112723 4\n", "MSG 20190411 112727 +CSQ:5\n", "CSQ 20190411 112727 5\n", "MSG 20190411 112727 OK\n", "MSG 20190411 112727 +CIEV:0,5\n", "CIEV 20190411 112727 5\n", "MSG 20190411 112734 +CSQ:5\n", "CSQ 20190411 112734 5\n", "MSG 20190411 112734 OK\n", "MSG 20190411 112735 +CSQ:5\n", "CSQ 20190411 112735 5\n", "MSG 20190411 112735 OK\n", "MSG 20190411 112743 +CSQ:5\n", "CSQ 20190411 112743 5\n", "MSG 20190411 112743 OK\n", "MSG 20190411 112744 +CSQ:5\n", "CSQ 20190411 112744 5\n", "MSG 20190411 112744 OK\n", "MSG 20190411 112752 +CSQ:5\n", "CSQ 20190411 112752 5\n", "MSG 20190411 112752 OK\n", "MSG 20190411 112753 +CSQ:5\n", "CSQ 20190411 112753 5\n", "MSG 20190411 112753 OK\n", "MSG 20190411 112800 +CSQ:4\n", "CSQ 20190411 112800 4\n", "MSG 20190411 112800 OK\n", "MSG 20190411 112800 +CIEV:0,4\n", "CIEV 20190411 112800 4\n", "MSG 20190411 112801 +CSQ:5\n", "CSQ 20190411 112801 5\n", "MSG 20190411 112801 OK\n", "MSG 20190411 112801 +CIEV:0,5\n", "CIEV 20190411 112801 5\n", "MSG 20190411 112809 +CSQ:4\n", "CSQ 20190411 112809 4\n", "MSG 20190411 112809 OK\n", "MSG 20190411 112809 +CIEV:0,4\n", "CIEV 20190411 112809 4\n", "MSG 20190411 112810 +CSQ:4\n", "CSQ 20190411 112810 4\n", "MSG 20190411 112810 OK\n", "MSG 20190411 112818 +CSQ:4\n", "CSQ 20190411 112818 4\n", "MSG 20190411 112818 OK\n", "MSG 20190411 112826 +CSQ:5\n", "CSQ 20190411 112826 5\n", "MSG 20190411 112826 OK\n", "MSG 20190411 112826 +CIEV:0,5\n", "CIEV 20190411 112826 5\n", "MSG 20190411 112833 +CSQ:3\n", "CSQ 20190411 112833 3\n", "MSG 20190411 112833 OK\n", "MSG 20190411 112833 +CIEV:0,3\n", "CIEV 20190411 112833 3\n", "MSG 20190411 112835 +CSQ:3\n", "CSQ 20190411 112835 3\n", "MSG 20190411 112835 OK\n", "MSG 20190411 112842 +CSQ:4\n", "CSQ 20190411 112842 4\n", "MSG 20190411 112842 OK\n", "MSG 20190411 112842 +CIEV:0,4\n", "CIEV 20190411 112842 4\n", "MSG 20190411 112843 +CSQ:4\n", "CSQ 20190411 112843 4\n", "MSG 20190411 112843 OK\n", "MSG 20190411 112850 +CSQ:4\n", "CSQ 20190411 112850 4\n", "MSG 20190411 112850 OK\n", "MSG 20190411 112851 +CSQ:4\n", "CSQ 20190411 112851 4\n", "MSG 20190411 112851 OK\n", "MSG 20190411 112859 +CSQ:5\n", "CSQ 20190411 112859 5\n", "MSG 20190411 112859 OK\n", "MSG 20190411 112859 +CIEV:0,5\n", "CIEV 20190411 112859 5\n", "MSG 20190411 112901 +CSQ:5\n", "CSQ 20190411 112901 5\n", "MSG 20190411 112901 OK\n", "MSG 20190411 112908 +CSQ:5\n", "CSQ 20190411 112908 5\n", "MSG 20190411 112908 OK\n", "MSG 20190411 112908 +CSQ:5\n", "CSQ 20190411 112908 5\n", "MSG 20190411 112908 OK\n", "MSG 20190411 112916 +CSQ:4\n", "CSQ 20190411 112916 4\n", "MSG 20190411 112916 OK\n", "MSG 20190411 112916 +CIEV:0,4\n", "CIEV 20190411 112916 4\n", "MSG 20190411 112917 +CSQ:4\n", "CSQ 20190411 112917 4\n", "MSG 20190411 112917 OK\n", "MSG 20190411 112925 +CSQ:5\n", "CSQ 20190411 112925 5\n", "MSG 20190411 112925 OK\n", "MSG 20190411 112925 +CIEV:0,5\n", "CIEV 20190411 112925 5\n", "MSG 20190411 112925 +CSQ:5\n", "CSQ 20190411 112925 5\n", "MSG 20190411 112925 OK\n", "MSG 20190411 112934 +CSQ:5\n", "CSQ 20190411 112934 5\n", "MSG 20190411 112934 OK\n", "MSG 20190411 112934 +CSQ:5\n", "CSQ 20190411 112934 5\n", "MSG 20190411 112934 OK\n", "MSG 20190411 112942 +CSQ:5\n", "CSQ 20190411 112942 5\n", "MSG 20190411 112942 OK\n", "MSG 20190411 112943 +CSQ:5\n", "CSQ 20190411 112943 5\n", "MSG 20190411 112943 OK\n", "MSG 20190411 112951 +CSQ:5\n", "CSQ 20190411 112951 5\n", "MSG 20190411 112951 OK\n", "MSG 20190411 112951 +CSQ:5\n", "CSQ 20190411 112951 5\n", "MSG 20190411 112951 OK\n", "MSG 20190411 113000 +CSQ:5\n", "CSQ 20190411 113000 5\n", "MSG 20190411 113000 OK\n", "MSG 20190411 113000 +CSQ:5\n", "CSQ 20190411 113000 5\n", "MSG 20190411 113000 OK\n", "MSG 20190411 113008 +CSQ:5\n", "CSQ 20190411 113008 5\n", "MSG 20190411 113008 OK\n", "MSG 20190411 113008 +CSQ:5\n", "CSQ 20190411 113008 5\n", "MSG 20190411 113009 OK\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "MSG 20190411 113017 +CSQ:5\n", "CSQ 20190411 113017 5\n", "MSG 20190411 113017 OK\n", "MSG 20190411 113017 +CSQ:5\n", "CSQ 20190411 113017 5\n", "MSG 20190411 113017 OK\n", "MSG 20190411 113025 +CSQ:5\n", "CSQ 20190411 113025 5\n", "MSG 20190411 113025 OK\n", "MSG 20190411 113026 +CSQ:5\n", "CSQ 20190411 113026 5\n", "MSG 20190411 113026 OK\n", "MSG 20190411 113034 +CSQ:5\n", "CSQ 20190411 113034 5\n", "MSG 20190411 113034 OK\n", "MSG 20190411 113034 +CSQ:5\n", "CSQ 20190411 113034 5\n", "MSG 20190411 113034 OK\n", "MSG 20190411 113043 +CSQ:5\n", "CSQ 20190411 113043 5\n", "MSG 20190411 113043 OK\n", "MSG 20190411 113044 +CSQ:5\n", "CSQ 20190411 113044 5\n", "MSG 20190411 113044 OK\n", "MSG 20190411 113051 +CSQ:5\n", "CSQ 20190411 113051 5\n", "MSG 20190411 113051 OK\n", "MSG 20190411 113053 +CSQ:4\n", "CSQ 20190411 113053 4\n", "MSG 20190411 113053 OK\n", "MSG 20190411 113053 +CIEV:0,4\n", "CIEV 20190411 113053 4\n", "MSG 20190411 113100 +CSQ:5\n", "CSQ 20190411 113100 5\n", "MSG 20190411 113100 OK\n", "MSG 20190411 113100 +CIEV:0,5\n", "CIEV 20190411 113100 5\n", "MSG 20190411 113102 +CSQ:5\n", "CSQ 20190411 113102 5\n", "MSG 20190411 113102 OK\n", "MSG 20190411 113110 +CSQ:4\n", "CSQ 20190411 113110 4\n", "MSG 20190411 113110 OK\n", "MSG 20190411 113110 +CIEV:0,4\n", "CIEV 20190411 113110 4\n", "MSG 20190411 113119 +CSQ:5\n", "CSQ 20190411 113119 5\n", "MSG 20190411 113119 OK\n", "MSG 20190411 113119 +CIEV:0,5\n", "CIEV 20190411 113119 5\n", "MSG 20190411 113120 +CSQ:5\n", "CSQ 20190411 113120 5\n", "MSG 20190411 113120 OK\n", "MSG 20190411 113128 +CSQ:5\n", "CSQ 20190411 113128 5\n", "MSG 20190411 113128 OK\n", "MSG 20190411 113128 +CSQ:5\n", "CSQ 20190411 113128 5\n", "MSG 20190411 113129 OK\n", "MSG 20190411 113136 +CSQ:5\n", "CSQ 20190411 113136 5\n", "MSG 20190411 113136 OK\n", "MSG 20190411 113137 +CSQ:5\n", "CSQ 20190411 113137 5\n", "MSG 20190411 113137 OK\n", "MSG 20190411 113145 +CSQ:5\n", "CSQ 20190411 113145 5\n", 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OK\n", "MSG 20190411 124153 +CSQ:5\n", "CSQ 20190411 124153 5\n", "MSG 20190411 124153 OK\n", "MSG 20190411 124154 +CSQ:5\n", "CSQ 20190411 124154 5\n", "MSG 20190411 124154 OK\n", "MSG 20190411 124202 +CSQ:5\n", "CSQ 20190411 124202 5\n", "MSG 20190411 124202 OK\n", "MSG 20190411 124202 +CSQ:5\n", "CSQ 20190411 124202 5\n", "MSG 20190411 124202 OK\n", "MSG 20190411 124210 +CSQ:5\n", "CSQ 20190411 124211 5\n", "MSG 20190411 124211 OK\n", "MSG 20190411 124211 +CSQ:5\n", "CSQ 20190411 124211 5\n", "MSG 20190411 124211 OK\n", "MSG 20190411 124219 +CSQ:5\n", "CSQ 20190411 124219 5\n", "MSG 20190411 124219 OK\n", "MSG 20190411 124219 +CSQ:5\n", "CSQ 20190411 124219 5\n", "MSG 20190411 124219 OK\n", "MSG 20190411 124228 +CSQ:5\n", "CSQ 20190411 124228 5\n" ] } ], "source": [ "df = serial_exchange(1000)" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "# Load the CSV\n", "test_letter = 'Q'\n", "filename = '20190411T112210_csqlog.csv'" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "df2 = pd.read_csv(filename)" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "RangeIndex: 1314 entries, 0 to 1313\n", "Data columns (total 3 columns):\n", "date 1314 non-null object\n", "csq 1000 non-null float64\n", "cier 314 non-null float64\n", "dtypes: float64(2), object(1)\n", "memory usage: 25.7+ KB\n" ] } ], "source": [ "df2.info()" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "image/png": 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+ceVPeeAdoJaZ1ctCfCIiIiJZk+nkzIHJZlZgZpeEZXXd/TOA8G+dsLw+sDJu3VVhmYiIiMheI9Nja3Z099VmVgeYYmb/K2VZS1DmOywUJHmXANStW5fp06enJdA9waZNm9QeaaT2TD+1aXqpPdOvvLTp/PkL+PHHH7IdRkq5ubncdddd2Q6jTCpXrkKbNq2zHQaQ4eTM3VeHf9ea2VjgKOBzM6vn7p+Fhy3XhouvAhrErZ4LrE6wzceAxwDy8/NdA6r+RAPMppfaM/3Upuml9ky/8tKmXbp0odegcdkOI6XedWH66ibZDqNMJgzrg/sOfUJZkbHDmmZW3cxqFE0DJwELgZeB/uFi/YHx4fTLwHnhVZvHABuKDn+KiIiI7C0y2XNWFxhrZkX7ec7dXzWz94BRZjYA+AQ4I1x+EtATWAZ8C1yQwdhEREREIiljyZm7fwS0TVD+JdA1QbkDl2cqHhEREZHyQCMEiIiIiESIkjMRERGRCFFyJiIiIhIhSs5EREREIkTJmYiIiEiEKDkTERERiRAlZyIiIiIRouRMREREJEKUnImIiIhEiJIzERERkQhRciYiIiISIUrORERERCJEyZmIiIhIhCg5ExEREYkQJWciIiIiEaLkTERERCRClJyJiIiIRIiSMxEREZEIUXImIiIiEiFKzkREREQiRMmZiIiISIQoORMRERGJECVnIiIiIhGi5ExEREQkQpSciYiIiESIkjMRERGRCFFyJiIiIhIhSs5EREREIkTJmYiIiEiEKDkTERERiRAlZyIiIiIRouRMREREJEKUnImIiIhEiJIzERERkQhRciYiIiISIUrORERERCJEyZmIiIhIhCg5ExEREYkQJWciIiIiEaLkTERERCRClJyJiIiIRIiSMxEREZEIUXImIiIiEiEZT87MrKKZzTWzCeF8IzN718w+MLMXzKxKWF41nF8W1jfMdGwiIiIiUbM7es4GAkvi5m8D7nb3psDXwICwfADwtbs3Ae4OlxMRERHZq2Q0OTOzXOBXwPBw3oATgdHhIiOAPuF073CesL5ruLyIiIjIXiPTPWf3AH8GtofzBwDr3X1rOL8KqB9O1wdWAoT1G8LlRURERPYa5u6Z2bBZL6Cnu//ezDoDVwMXAG+Hhy4xswbAJHdvbWaLgB7uviqs+xA4yt2/LLHdS4BLAOrWrdt+5MiRGYm/PNq0aRM5OTnZDmOPofZMP7Vpeqk906+8tGlBQQE16zbJdhgp1foFrP8221GUzYbPl9G+ffuM7qNLly4F7p6farlKGYyhI3CqmfUE9gH2JehJq2VmlcLesVxgdbj8KqABsMrMKgE1ga9KbtTdHwMeA8jPz/fOnTtn8CmUL9OnT0ftkT5qz/RTm6aX2jP9ykubdunShV6DxmU7jJR6t4Pxc7MdRdlMGHY1meqw2lkZO6zp7n9x91x3bwicCbzu7mcD04B+4WL9gfHh9MvhPGH96x6VVhIRERHZTbJxn7NrgUFmtozgnLLHw/LHgQPC8kHA4CzEJiIiIpJVmTysGePu04Hp4fRHwFEJltkCnLE74hERERGJKo0QICIiIhIhSs5EREREIkTJmYiIiEiEKDkTERERiRAlZyIiIiIRouRMREREJEKUnImIiIhEiJIzERERkQhRciYiIiISIUrORERERCJEyZmIiIhIhCg5ExEREYkQJWciIiIiEaLkTERERCRClJyJiIiIRIiSMxEREZEIUXImIiIiEiFKzkREREQiRMmZiIiISIQoORMRERGJECVnIiIiIhGi5ExEREQkQpSciYiIiESIkjMRERGRCFFyJiIiIhIhSs5EREREIkTJmYiIiEiEKDkTERERiRAlZyIiIiIRouRMREREJEKUnImIiIhEiJIzERERkQhRciYiIiISIUrORERERCJEyZmIiIhIhCg5ExEREYkQJWciIiIiEaLkTERERCRClJyJiIiIRIiSMxEREZEIUXImIiIiEiFKzkREREQiRMmZiIiISIRkLDkzs33MbJaZzTOzRWZ2c1jeyMzeNbMPzOwFM6sSllcN55eF9Q0zFZuIiIhIVGWy5+x74ER3bwvkASeb2THAbcDd7t4U+BoYEC4/APja3ZsAd4fLiYiIiOxVMpaceWBTOFs5fDhwIjA6LB8B9Amne4fzhPVdzcwyFZ+IiIhIFJm7Z27jZhWBAqAJ8CBwB/BO2DuGmTUAXnH3Vma2EDjZ3VeFdR8CR7v7FyW2eQlwCUDdunXbjxw5MmPxlzebNm0iJycn22HsMdSe6ac2TS+1Z/qVlzYtKCigZt0m2Q4jpVq/gPXfZjuKstnw+TLat2+f0X106dKlwN3zUy1XKZNBuPs2IM/MagFjgeaJFgv/Juol2yFzdPfHgMcA8vPzvXPnzukJdg8wffp01B7po/ZMP7Vpeqk906+8tGmXLl3oNWhctsNIqXc7GD8321GUzYRhV5PJDqudsVuu1nT39cB04BiglpkVJYW5wOpwehXQACCsrwl8tTviExEREYmKTF6teWDYY4aZVQO6AUuAaUC/cLH+wPhw+uVwnrD+dY9KCisiIiKym5SanJnZFT9j2/WAaWY2H3gPmOLuE4BrgUFmtgw4AHg8XP5x4ICwfBAw+GfsW0RERKRcSnXO2YXAA7uyYXefD7RLUP4RcFSC8i3AGbuyLxEREZE9hUYIEBEREYmQVMlZGzPbmODxjZlt3C0RSplt2LCBvLw88vLyOOigg6hfv35s/ocffijzdp544gnWrFmTsO6///0vRx99NHl5eTRv3py//vWvALz++uu88847Ox3znDlzePXVV1Mut2LFCjp37kyLFi1o2bIlDzzwU4ful19+SdeuXWnatCk9evRgw4YNACxatIgOHTpQtWpV7rnnnmLbGzZsGC1btqRly5bcf//9Sfc7adIkmjVrRpMmTbjjjjt2qL/sssuoVatW0vUHDx5Mbm7uDstMmzaNdu3aUalSJcaNS37FVf/+/TnwwAPJy8srVv7CCy/QokULKlSoQGFhYcJ1S2uzQYMG0axZM9q0aUPfvn1jbVbW/Sdr83hTp06Nvf/y8vKoWrUqb7/9NgD33nsvjRs3xsxYv359bJ0xY8bQpk0b8vLyOPLII5k5c2axbW7YsIF69epx5ZVXArB+/fpi+zjggAO4+uqri60zcuRIzCxpO4mIRE2q5GyBu++b4FHD3ffdLRFKmdWsWZPCwkIKCwu59NJLueqqq2LzVapUKfN2SkvO+vfvz+OPP05hYSELFy6kb9++wK4lZ1u3bi1zcla5cmXuueceFi9ezNtvv83dd9/N+++/D8Ctt97KKaecwgcffMDxxx/P7bffDkDt2rW5//77ueqqq4ptq7CwkBEjRjB79mwKCwsZM2YMH3/8ccL4rrjiCiZPnsyiRYt46qmnYvsEePfdd9m0adMO68Xr3bt3wnZp2LAhTz31FL/5zW9KXf/CCy9k4sSJO5S3bt2acePGceyxxyZdt7Q269GjB4sWLWL+/Pk0bNgw1mZl3X+yNo/XrVu32PtvypQp5OTkxO4h1KlTJ15//XXq169fbJ2TTjqJefPmUVhYyKOPPsoll1xSrP66666jS5cusflatWrF9lFYWEhubi6nn356rH7jxo089NBD5OenvK2QiEhk6LDmXmLEiBEcddRR5OXl8fvf/57t27ezdetWzj33XFq3bk2rVq247777eOGFFygsLOS3v/1twh63devWcdBBBwFQsWJFWrRowYcffsjw4cO54447yMvLY+bMmYwfP56jjz6adu3acdJJJ7F27VoAhgwZwu9+9zu6d+/OWWedxS233MKzzz5LXl4eo0eP3iHuIgcffHCs92bffffl8MMP59NPPwVg/Pjx9O8fXOjbv3//WE9U3bp1yc/Pp1Kl4qdWLlmyhA4dOlCtWjUqV65Mp06dGDt27A77XLx4Mc2bN+fQQw+latWq/OY3v2H8+ODi4q1bt3Lttdfyz3/+s9R279ChQ6y94jVq1IjWrVtToULpH8ETTjiB/ffff4fyFi1acNhhh5W6bmlt1qNHj1i7HHPMMaxatWqn9p+szZN58cUX6dWrV+xHQrt27Tj00EN3WC4nJ4eigUE2b95M/CAhs2bNYv369Zx44okJ97FkyRI2bNhAhw4dYmXXXXcd1113HVWrVi01PhGRKEmVnL24W6KQjFq4cCFjx45l5syZFBYWsnXrVkaOHElBQQFffPEFCxYsYOHChZx33nmxpKwoSSvZ43bllVfStGlTTj/9dP71r3/x/fff07hxYy666CKuueYaCgsLOfbYY+nUqRPvvPMOc+fO5fTTT+euu+6KbWPu3Ln8+9//5sUXX2To0KGcffbZFBYW0q9fP959910uvfTSUp/PRx99xMKFCznyyCOB4BDbgQceCED9+vX57LPPSl2/devWTJ8+na+++orNmzfzyiuvsHLlyh2W++KLL2jQoEFsPjc3N5bc3HvvvfTt25e6deuWuq/dbeXKlZx66qk7lJdss3hPPPEEp5xySqnrl7SzbT5y5EjOOuussjwFRo8eTbNmzejTpw/Dhw8HYNu2bVxzzTUJDy0Xef755znzzDNjCd17773H2rVrOfnkk8u0XxGRqEh1tWZlMxuapM7d/a/pDkjSb+rUqbz33nuxQzvfffcdDRo0oEePHixdupSBAwfSs2dPTjrppJTbuvnmmzn33HOZPHkyTz31FC+88AJTp07dYblPPvmE3/zmN6xZs4bvv/++WC9P79692WeffRJu/+ijj+boo49Ouv+NGzfSt29f7r///qRDrKQakrVVq1YMGjSIbt26kZOTEzv3q6REt9kzM1atWsW4ceOYPn16ZO4mXaRBgwa8/PLLxcpKa7Obb76ZnJwczjzzzKTrl0Vpbb5q1SqWLl1Kt27deOutt1Juq1+/fvTr149p06Zxww03MHnyZO6//3569+7NwQcfnHS9kSNH8uKLwe/J7du386c//Ylnnnlmp5+LiEi2peo52wRsLvFwYADB/cqkHHB3Lrzwwth5OUuXLuWGG27ggAMOYP78+Rx33HHcd999/O53vyvT9po0acLvf/97Xn/9dWbNmpXwZPDLL7+cq666igULFvDQQw+xZcuWWF316tV36Xn88MMPnH766Zx//vnFencOOOAA1q1bB8Cnn36a8DBiSZdccglz5sxhxowZ1KxZk6ZNm7J8+fLYieXDhw/nwAMPLNajtmrVKg4++GDmzJnDBx98QOPGjWnSpAkbN26kWbNm/PDDD7H1b7nlll16jumWrM0AHn/8cSZPnszTTz+909vdmTZ/4YUX6Nu3b8IEuDRdunRhyZIlrF+/nnfeeYd77rmHhg0bMnjwYJ544gmuv/762LIFBQVUqlSJtm3bAsGFAosXL6ZTp040bNiQ2bNn07NnT+bOLSfjyIjIXq3Ub0t3jx2LMrMawECCe5+NBO5Ktp5ES7du3ejXrx8DBw6kdu3afPnll2zevJlq1aqxzz77cMYZZ9CoUaPY4cQaNWrwzTffJNzWxIkT6dmzJ2bG+++/T9WqValRo8YO62zYsIH69evj7owYMSJpbKXtK567c/7555OXl8fAgQOL1Z166qmMGDGCq6++mhEjRtC7d++U21u7di116tRh+fLljB8/nlmzZsUuqCgydepU7r77blasWMFBBx3EqFGjYofcihKdrVu3Urt2bZYuXQoQqSsCS2uziRMnMmzYMGbMmJG0F7M0O9Pmzz//PHfffXeZtrts2bLYVZyzZ88GgpP+R44cGVtm+PDhLFy4kFtvvbXYPuIPm+6///588cUXsfnjjjuOBx54YIerTkVEoijlBQFmtr+Z/Q2YT5DMHeHu17r72oxHJ2nRunVrbrzxRrp160abNm046aST+Pzzz1m5ciWdOnUiLy+Piy++mL///e8AXHDBBVx00UUJLwh48sknadasGXl5eZx//vk899xzVKhQgd69ezNq1CjatWvHzJkzuemmmzjttNM44YQTSj0v68QTT2TevHm0a9eO0aNHJz3n7I033uD5559nypQpsd6p//znP0Bw0vfEiRNp2rQpM2bM4JprrgGCnq7c3Fzuu+8+brrpJnJzc/n2228B6NOnDy1atKBXgdMyAAAccUlEQVRPnz48+uij1KxZc4d9VqpUifvuu4/u3bvTokULzjnnHJo1a7ZTbT9o0CAaNmzIxo0byc3N5W9/+xsAb7/9Nrm5uYwdO5aLLrqINm3aJFz/jDPO4Pjjj2fx4sXk5uby5JNPAsEJ9rm5ubz33nv06NGDX/3qV0Dxc8ZKa7PLL7+cb775hq5du5KXl8fll1++w/ql7T9Zm5d8/ZYtW8batWs57rjjij2vYcOGkZuby5o1a2jZsmWs13bUqFG0atWKvLw8/vjHP/LCCy+kbGN3Z9SoUWU+p01EJOqstHNmzOwO4HTgMeBBdy/9vgG7WX5+vhf9uhaYPn06nTt3znYYewy1Z/qpTdNL7Zl+5aVNzYxeg0q/SjoKereD8eXkbIIJw/pk/DxiMytw95T39knVc/Yn4GBgCLBaN6EVERERyaxU55zpPmgiIiIiu1GpyZmZlbz7pAPrPWr3DxARERHZQ6TqGSsAZod/C4A5wDozm2pmDTMbmuys3TG25jnnnEOjRo1i2z3++ON3KsYhQ4bsMM5lSa+++ipHHHEErVu3pn379kyfPj1W995779GqVSuaNGlSbFimZGNNfv/99/Tv35/WrVuTl5fHjBkzku73b3/7G02aNOHwww/f4d5tW7dupU2bNvTp0yfhutu3b6dHjx7UqlVrh2WSjSMZb+3atXTu3Jnq1avHxo0E+Oabb+jZsyfNmjWjZcuWxW4fkcjHH39M9erVY21c2via8Z566ilat25NmzZt6NixIwsWLIjV3XnnnbRs2ZJWrVpx9tln8/333++w/u23307z5s1p27Yt3bt3L3YLkquvvppWrVrRqlUr3njjjVi5uzN48GAOO+wwmjdvzoMPPgiUPiZqslimTp3KEUccQatWrbjwwgvZunVrqe0kIhJlpSZn7t7I3X8Z/i161AYeAh7ZPSFKWe2OsTUB7r777th233zzzXSEXkydOnWYOHEiCxYs4IknnuDcc8+N1V166aX83//9Hx988AGLFi1iypQpQPKxJh955BGqVKnCggULePXVVxk0aFDCEz7nz5/PmDFjWLx4MRMnTuSyyy5j+/btsfphw4bRqlWrpDGbGX/+859jVzPGSzaOZLxf/OIX3Hrrrdx22207bPfaa69l6dKlzJkzh2nTpsWecyKDBg2K3e0fSh9fM17jxo158803mT9/PoMHD45dcblixQoeeeQRCgoKWLBgAVu2bInd6DVefn4+c+bMYd68eZx66qkMHjwYCIZ5WrhwIfPmzeOdd97h2WefjY1HOnz4cNauXcvSpUtZsmQJZ5xxBpB8TNRksWzbto3zzz+fF198kYULF3LQQQfx7LPPJm0jEZGo26Vzytx9DFAnzbFIBqVrbM1khgwZwoABAzjhhBP45S9/GesFAbjlllto1qwZ3bt354MPPki5rSOOOIJ69eoBQdK1adMmfvzxR1auXMmWLVs48sgjMTPOPffc2JiOycaaXLx4MV27dgXgoIMOonr16glvRDp+/HjOOussqlSpQuPGjTnkkENiScyKFSuYMmUKF1xwQdKYzYyuXbsmHLUg2TiS8XJycujYseMO9xzLycnhhBNOAKBq1aq0a9cu6TiYo0eP5vDDD+fwww+PlZU2vma8jh07UqtWLWDHsTZ//PFHtmzZwtatW/n2228T3qX/xBNPpFq1ajusv3jxYjp37kzFihXJycmhUaNGTJ48GYCHH36YoUOHxkYXqFMn+EpJNiZqsljWrl1LTk4OjRs3BqB79+689NJLCdtIRKQ82KXkzMxydnVd2f3SObYmwFVXXRU7rHneeefFyt9//32mTJnCO++8w9ChQ9m2bRuzZs3ipZdeorCwkNGjRzNr1qzY8g8++GBs7MRkRo0axdFHH03lypX59NNPk451mUzbtm0ZN24c27Zt48MPP2Tu3LkJx9FMtO2im5heeeWV3HHHHSmHhcq0r7/+mkmTJsUG/h47dmxsJIJvvvmGu+66iyFDhiRdv+T4msna//HHH4/1vh166KEMHDiQBg0aUK9ePerUqZN04PFE67dt25ZJkybx3XffsW7dOubNmxdr/48//phnnnmG/Px8evbsyYcffljqdpPFUrduXb799lvmzp2Lu/PSSy8lfI1FRMqLVBcEDEpQvB9wKpD45BWJnHSOrQnBYc1E51716tWLKlWqUKdOHfbff3/WrVvHjBkz6Nu3L9WqVaNatWr8+te/ji1fdOPTZBYsWMCQIUNih/GSjXVZmosvvpilS5fSvn17GjVqRIcOHco8jibAuHHjaNCgAXl5eQnHEN1dfvzxR37729/ypz/9KdYLd9ppp3HaaacBcMMNN3DNNdckHRor0fiaidp/6tSpPP3007ExML/88ksmTJjAxx9/zL777kvfvn0ZOXJkbCzOkkaMGMGCBQu47777AOjZsyezZ8+mQ4cO1KlTh5YtW8baf8uWLdSoUYPZs2czatQoLrroIqZNm5a0DUqL5bnnnuMPf/gDP/zwA926ddvpoaJERKIkVe9XjRKPHGANcI67/yvDsUmapHtszWSqVq0am65YsWLspOxd6XH65JNPOP3003nmmWdo1KgREPRmJRrrsjSVK1fm3nvvpbCwkLFjx/L111/TtGlTRo8eHev9KywsTLjt2rVrM3PmTMaMGUPDhg0555xzmDx5Mv3792fmzJmx9SdNmrTTz29nuDsDBgygVatWXHHFFQmXmTVrVmw0ggceeIBbbrmFhx9+GCh9fM14hYWF/O53v2P8+PHst99+AEyePJmmTZtSu3ZtqlSpwmmnncbMmTMTrv/qq69y++23M378+GI9rkOHDqWwsJDJkyezbds2mjZtCkD9+vXp27cvAH379k059FVpsRx33HG89dZbzJo1i+OOOy62DxGR8ijVBQE3Fz0IxtK8y90fdPcFpa0n0dKtWzdGjRoVO0z35Zdf8sknn7Bu3TrcnTPOOIObb76ZOXPmAGUf77IsOnXqxJgxY9iyZQsbN25kwoQJKdf5+uuv+dWvfsWdd97JMcccEytv0KABVatW5b333sPdefrpp1OOo7l58+bYkE2vvPIKOTk5HHbYYfTr1y+WrObl5XHqqafy/PPP88MPP/Dhhx+yYsUKDjvsMG6//XZWrVrF8uXLeeaZZzjppJMYMWIExx57bGz9nj17/rxGSuEvf/kLW7Zs4c4770y6zMyZM1m+fDnLly/niiuuYOjQoVx22WWljq8Zb/ny5fTr14/nnnuOJk2axMoPOeQQ3n77bb777jvcnddee43mzZvvsP7s2bO5/PLLefnll6ldu3asfOvWrXz11VcAzJ07l08++SR2DmCfPn14/fXXAZg2bVqxc+USKS2WtWuD0eS2bNnC7bffnnAIMBGR8iJl37+ZXQb8Bagezm8CbnP3hzIcm6RJ/Nia27dvp3LlyjzyyCNUrFiRAQMG4O6YWexKwaKxNatVq8asWbN2OO/sqquu4qabborNFxQUJN33UUcdxWmnnUbbtm1p2LAhnTp1itU9+OCDVK1alYsuuqjYOvfeey8ff/wxN954IzfeeCMAr732GgcccAAPP/ww559/Plu2bKFXr150794dCMaavOqqq1i3bh09evQgPz+fiRMnsmbNGnr27EmFChXIzc1NOgh727Zt6dOnD82bN6dSpUo89NBDVKiwc6dVdujQgWXLlrFp06bYvrp27cqwYcMYNmxYbBzJXr168eijj+6wftHYnz/++COjR4/mtddeo2rVqtx22200b96cI444AoCBAwdywQUXMHbsWBYsWMDQoUOTxlQ0vmabNm1iFwbcdttt9OjRo1j733TTTXz11Vex3tOqVavy7rvv0rFjR0499VTatWtHpUqVaN++PQMGDADg+uuvp2PHjvTs2ZOrr76azZs3x3rCGjVqxNixY/n+++9j42rWrFmT66+/nooVKwLB+Jxnn302d9xxBzVq1OCxxx4Dgl7LY445ho0bN1KhQgXuvPNO3n///VJj+cc//sGrr77K9u3bueKKK4q9z0REyptUY2sOAY4FrnD3j8KyXwL3Au+6+992S5RJaGzN4srLmHDlhdoz/dSm6aX2TL/y0qYaWzP9ytPYmucCpxclZgDh9G+A85KuJSIiIiK7JOVxG3ffkqDsO2B7gsVFRERE5GdIlZytMrOuJQvDss8yE5KIiIjI3ivVBQF/BMab2VsEY2s6cCTQESj9MjkRERER2WmpkrPvgfOBw4CWgAEzgMeBHQ53ioiIiMjPkyo5uwe4zt2fiC80s/yw7tcJ1xIRERGRXZLqnLOG7j6/ZKG7zwYaZiQiERERkb1YquRsn1LqqqUzEBERERFJnZy9Z2YXlyw0swEEFwiIiIiISBqlOufsSmCsmZ3NT8lYPlAFOC2TgYmIiIjsjUpNztz9c+BYM+sCtAqLJ7r76xmPTERERGQvlHLgcwB3nwZMy3AsIiIiInu9lMM3iYiIiMjuo+RMREREJEKUnImIiIhEiJIzERERkQhRciYiIiISIUrORERERCJEyZmIiIhIhCg5ExEREYmQjCVnZtbAzKaZ2RIzW2RmA8Py/c1sipl9EP7dLyw3M7vPzJaZ2XwzOyJTsYmIiIhEVSZ7zrYCf3L35sAxwOVm1gIYDLzm7k2B18J5gFOApuHjEuDhDMYmIiIiEkkZS87c/TN3nxNOfwMsAeoDvYER4WIjgD7hdG/gKQ+8A9Qys3qZik9EREQkinbLOWdm1hBoB7wL1HX3zyBI4IA64WL1gZVxq60Ky0RERET2Gubumd2BWQ7wBnCru48xs/XuXiuu/mt338/MJgL/cPe3wvLXgD+7e0GJ7V1CcNiTunXrth85cmRG4y9PNm3aRE5OTrbD2GOoPdNPbZpeas/0Ky9tWlBQQM26TbIdRkq1fgHrv812FGWz4fNltG/fPqP76NKlS4G756darlImgzCzysBLwLPuPiYs/tzM6rn7Z+Fhy7Vh+SqgQdzqucDqktt098eAxwDy8/O9c+fOmQq/3Jk+fTpqj/RRe6af2jS91J7pV17atEuXLvQaNC7bYaTUux2Mn5vtKMpmwrCryXSHVVll8mpNAx4Hlrj7sLiql4H+4XR/YHxc+XnhVZvHABuKDn+KiIiI7C0y2XPWETgXWGBmhWHZdcA/gVFmNgD4BDgjrJsE9ASWAd8CF2QwNhEREZFIylhyFp47ZkmquyZY3oHLMxWPiIiISHmgEQJEREREIkTJmYiIiEiEKDkTERERiRAlZyIiIiIRouRMREREJEKUnImIiIhEiJIzERHJuPq5h2BmkX8UFBRkPYayPGTPltHhm0RERABWf7qyXAw3VLMu5SLOCcP6ZDsEySD1nImIiIhEiJIzERERkQhRciYiIiISIUrORERERCJEyZmIiIhIhCg5ExEREYkQJWciIiIiEaLkTERERCRClJyJiIiIRIiSMxEREZEIUXImIiIiEiFKzkREREQiRMmZiIiISIQoORMRERGJECVnIiIiIhGi5ExEREQkQpSciYiIiESIkjMRkRLq5x6CmUX+UVBQkPUYyvoQkbKrlO0ARESiZvWnK+k1aFy2w0ipZl3KRZwAE4b1yXYIIuWGes5EREREIkTJmYiIiEiEKDkTERERiRAlZyIiIiIRouRMREREJEKUnImIiIhEiJIzERERkQhRciYiIiISIUrORERERCJEyZmIiIhIhCg5ExEREYkQJWciIiIiEaLkTERERCRClJyJiIiIRIiSMxEREZEIUXImIiIiEiEZS87M7AkzW2tmC+PK9jezKWb2Qfh3v7DczOw+M1tmZvPN7IhMxSUiIiISZZnsOXsSOLlE2WDgNXdvCrwWzgOcAjQNH5cAD2cwLhEREZHIylhy5u4zgK9KFPcGRoTTI4A+ceVPeeAdoJaZ1ctUbCIiIiJRtbvPOavr7p8BhH/rhOX1gZVxy60Ky0RERET2Kubumdu4WUNggru3CufXu3utuPqv3X0/M5sI/MPd3wrLXwP+7O4FCbZ5CcGhT+rWrdt+5MiRGYu/vNm0aRM5OTnZDmOPofZMv/LSpgUFBdSs2yTbYaRU6xew/ttsR1E2Gz5fpjZNI7Vn+m34fBnt27fP6D66dOlS4O75qZarlNEodvS5mdVz98/Cw5Zrw/JVQIO45XKB1Yk24O6PAY8B5Ofne+fOnTMYbvkyffp01B7po/ZMv/LSpl26dKHXoHHZDiOl3u1g/NxsR1E2E4ZdrTZNI7Vn+k0YdjWZ7LDaGbv7sObLQP9wuj8wPq78vPCqzWOADUWHP0Uktfq5h2BmkX8UFBRkPYayPEREsiljPWdm9jzQGahtZquAG4F/AqPMbADwCXBGuPgkoCewDPgWuCBTcYnsiVZ/urJc/IquWZdyEeeEYX1SLyQikiEZS87c/awkVV0TLOvA5ZmKRURERKS80AgBIiIiIhGi5ExEREQkQpSciYiIiESIkjMRERGRCFFyJiIiIhIhSs5EREREIkTJmYiIiEiEKDkTERERiRAlZyIiIiIRouRMREREJEKUnImIiIhEiJIzERERkQhRciYiIiISIUrORERERCJEyZmIiIhIhCg5ExEREYkQJWcp1M89BDMrF4+CgoKsx1CWR/3cQ7L9soqIiERWpWwHEHWrP11Jr0Hjsh1GmdSsS7mIdcKwPtkOQUREJLLUcyYiIiISIUrORERERCJEyZmIiIhIhCg5ExEREYkQJWciIiIiEaLkTERERCRClJyJiIiIRIiSMxEREZEIUXImIiIiEiFKzkREREQiRMmZiIiISIQoORMRERGJECVnIiIiIhGi5ExEREQkQpSciYiIiESIkjMRERGRCFFyJiIiIhIhSs5kt6tQsTJmFvlHQUFB1mMo60NERPYclbIdgOx9tm/7kV6DxmU7jJRq1qVcxAkwYVifbIcgIiJpop4zERERkQhRciYiIiISIUrORERERCJEyZmIiIhIhCg5ExEREYkQJWciIiIiERKp5MzMTjazpWa2zMwGZzseERERkd0tMsmZmVUEHgROAVoAZ5lZi+xGJSIiIrJ7RSY5A44Clrn7R+7+AzAS6J3lmERERER2qyglZ/WBlXHzq8IyERERkb2GuXu2YwDAzM4Aerj7ReH8ucBR7v6HEstdAlwSzjYDlu7WQKOtNvBFtoPYg6g9009tml5qz/RTm6aX2rO4Q939wFQLRWlszVVAg7j5XGB1yYXc/THgsd0VVHliZrPdPT/bcewp1J7ppzZNL7Vn+qlN00vtuWuidFjzPaCpmTUysyrAmcDLWY5JREREZLeKTM+Zu281syuA/wAVgSfcfVGWwxIRERHZrSKTnAG4+yRgUrbjKMd0uDe91J7ppzZNL7Vn+qlN00vtuQsic0GAiIiIiETrnDMRERGRvZ6Ssz2Ahr1KLzN7wszWmtnCbMeyJzCzBmY2zcyWmNkiMxuY7ZjKOzPbx8xmmdm8sE1vznZMewIzq2hmc81sQrZj2ROY2XIzW2BmhWY2O9vxlCc6rFnOhcNevQ90J7gdyXvAWe6+OKuBlWNm1gnYBDzl7q2yHU95Z2b1gHruPsfMagAFQB+9R3edmRlQ3d03mVll4C1goLu/k+XQyjUzGwTkA/u6e69sx1PemdlyIN/ddZ+znaSes/JPw16lmbvPAL7Kdhx7Cnf/zN3nhNPfAEvQ6B8/iwc2hbOVw4d+af8MZpYL/AoYnu1YRJSclX8a9krKDTNrCLQD3s1uJOVfeAiuEFgLTHF3tenPcw/wZ2B7tgPZgzgw2cwKwtF9pIyUnJV/lqBMv6AlcswsB3gJuNLdN2Y7nvLO3be5ex7BaCpHmZkOwe8iM+sFrHX3gmzHsofp6O5HAKcAl4enjEgZKDkr/8o07JVINoXnRb0EPOvuY7Idz57E3dcD04GTsxxKedYRODU8R2okcKKZPZPdkMo/d18d/l0LjCU4DUfKQMlZ+adhryTSwpPXHweWuPuwbMezJzCzA82sVjhdDegG/C+7UZVf7v4Xd89194YE36Gvu/s5WQ6rXDOz6uEFQJhZdeAkQFfAl5GSs3LO3bcCRcNeLQFGadirn8fMngfeBpqZ2SozG5DtmMq5jsC5BL0RheGjZ7aDKufqAdPMbD7BD7Qp7q7bP0iU1AXeMrN5wCxgoru/muWYyg3dSkNEREQkQtRzJiIiIhIhSs5EREREIkTJmYiIiEiEKDkTERERiRAlZyIiIiIRouRMREREJEKUnInIbmFmB5nZSDP70MwWm9kkMzvMzCqY2X1mttDMFpjZe2bWKFynppk9Fa7zoZk9a2b7Jdn+tvAeagvN7N9xN2ltaGbfxd1jrdDMzgvrlof7nGdmk83soLjy2nHbbmNm/zOzfeLK/mNm/RLEkW9mj4bTF5nZunCf/zOzP8Yt19zM3gjrlpjZw2F5TthOC8Ln8qaZ/cLMKpnZ+ri2nPjzXxURiSIlZyKSceEoAWOB6e7e2N1bANcR3Kjyt8DBQBt3bw2cBqwPV30c+ChcpzGwDHgyyW6+c/c8d28FfAVcHlf3YVhX9Hgqrq6Lu7cFZocx7cDd5wMTgMHh8+kHbHf30QkWvx64L27+2XAMzOOBm8ysXlj+AHB7WNcCeCgsvwr4xN1bh8/lYuDHEvGsAb4ys6OTtIWIlGNKzkRkd+gC/OjujxQVuHuhu79JcLf7z9x9e1i+yt2/NrMmQHvgr3HbuQVoa2bNUuzvbaD+TsY4A2hSSv2NwP8zszbArRRP/oCgpw84PNEoHe6+DviI4PkS/l0V1rm7L4gr/zRuvf+5e7HkLDQOODvVkxKR8kfJmYjsDq2AgiR1o4Bfh4f37jKzdmF5C6DQ3bcVLRhOzwWaJ9uRmVUEulJ8jNnGJQ5rHp9g1V7AggTlRfveDFwLvAU87e4fJVjsKGB+krgaAhX5aXzBYcCM8PDulWFiB0Fv4RAzm2lmfw2T1ERmE/TGicgeRsmZiGSVu68CmgF/AbYDr5lZV8CAROPLWZJNVTOzQuBLYH9gSlxdycOab8bVTQvX2xf4R4pYxwKb+OkQZEn1gHUlys42s0UEh2SHufsP4baGEySgowmSybfNrIq7FwC/BO4CagOzzeywBPtaS3A4WET2MErORGR3WERwiDIhd//e3V9x92uAvwN9wnXamVnseyqcbgPMSbCZ78Lztw4FqpDgsGMSXcKE7Tx3X596cbaHj0S+A/YpUfasu7cEOgP3mlmdogp3/9Tdn3D3XxN8HzcPy79x95fc/TJgJHBKgn3tE+5PRPYwSs5EZHd4HahqZhcXFZjZkWZ2gpkdYWYHh2VFydcKd19GcAhzSNx2hgCvufsnyXbk7huAPwJXm1nlDDyX0iwhyXlr7v4W8DzwBwAzO9nMKoXTBwP7AavN7Li4K02rEiRsKxJs8jB+OkQqInsQJWciknHu7gRXYXYPb4mxCLgJWA3UAf5tZgsJztfaSnAlI8CFQFMzW2Zm64BjgEvLsL+5wDzgzLCo5Dlnfyxl9SLzzWxV+BhWxqe6CDjQzKonqf8ncFFYfwqwyMzmAZOAK8OLBpoCb5rZAoIewreB8Qm21QXQ7TRE9kAWfGeKiERbeIXmJOAP7j4p2/EkY2bXAOvc/ckM7sOAN4FfhT2FIrIHUXImIpJGZlYNON3dn83gPuoCR7v7yykXFpFyR8mZiIiISITonDMRERGRCFFyJiIiIhIhSs5EREREIkTJmYiIiEiEKDkTERERiZD/D3OQOsd8sMKIAAAAAElFTkSuQmCC\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "bins = np.arange(7)-0.5\n", "\n", "fig = df2.csq.hist(figsize=(10,5), align='mid', bins=bins, edgecolor=\"black\")\n", "bins = np.arange(7)-0.5\n", "fig.set_xlabel(\"CSQ REPLY (RSSI)\")\n", "fig.set_ylabel(\"COUNT\")\n", "fig.set_title(f\"Test {test_letter}: Rubbermaid bin test, just the modem, short ant, and latop\")\n", "#Determine Test Length\n", "date_str = f\"Test Start: {df2.date[0]}\\nTest End: {df2.date.iloc[-1]} \"\n", "plt.text(0,250,date_str);" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 0, 'Time')" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "#Plot CSQ over time\n", "import matplotlib.dates as mdates\n", "ax = df2.plot(kind='line',x='date',y='csq', figsize=(10,5))\n", "ax.xaxis.set_major_locator(plt.MaxNLocator(4))\n", "ax.set_title(f\"Test {test_letter} Time Series\")\n", "ax.set_ylabel(\"CSQ (RSSI)\")\n", "ax.set_xlabel(\"Time\")\n" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "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": "3.6.4" } }, "nbformat": 4, "nbformat_minor": 2 }