srt_log_analyzer.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# SRT Log Analyzer\n",
    "\n",
    "![SRT Logo](https://camo.githubusercontent.com/9755ff8b363a9bdaf422e6cc7760be1c2399a401/687474703a2f2f7777772e737274616c6c69616e63652e6f72672f77702d636f6e74656e742f75706c6f6164732f5352545f746578745f686f725f6c6f676f5f677265792e706e67 \"SRT Logo\")\n",
    "\n",
    "## Abstract \n",
    "\n",
    "The Secure Reliable Transport (SRT) is an excellent tool for transporting video/audio streams over the public Internet but its logs can be sometimes overwhelming and the analysis can take considerable amount of time if done manually. \n",
    "\n",
    "I have tried to create a tool to do that automatically converting the output CSV file into a dataframe and then applying different analysis on it. The script should be agnostic whether the log files are coming from an SRT transmitter or SRT receiver.\n",
    "\n",
    "## Introduction\n",
    "\n",
    "Sending video over UDP across the Internet is a problem due to the nature of UDP. Depending on network conditions packet loss is likely. Sending high quality video is very likely to result in a bad user experience.\n",
    "\n",
    "### What is SRT\n",
    "\n",
    "SRT stands for Secure Reliable Transport and is an open source transport technology that optimizes streaming performance over the public Internet.\n",
    "\n",
    "* Secure - Encrypts Video Streams\n",
    "* Reliable - Recovers from Packet Loss\n",
    "* Transport - Dynamically Adapts to Changing Network Conditions\n",
    "\n",
    "As audio/video packets are streamed from a source to a destination device, SRT detects and adapts to the real-time network conditions between the two endpoints. \n",
    "\n",
    "SRT helps compensate for jitter and bandwidth fluctuations due to congestion over noisy networks, such as the public Internet. Its error recovery mechanism minimizes the packet loss typical of Internet connections. And SRT supports AES encryption for end-to-end security, keeping the transported streams safe from prying eyes.\n",
    "\n",
    "It is an open source library provided by [Haivision](https://www.haivision.com/) and published the source code in [Github](https://github.com/Haivision/srt) under the Mozilla Public License 2.0 (MPLv2.0).\n",
    "\n",
    "### SRT Modes of Operation\n",
    "\n",
    "SRT can be run in either Caller, Listener or Rendezvous mode. \n",
    "\n",
    "The mode only tells who initiated the connection, not in what direction the UDP stream is sent. In Rendezvous mode both nodes are initiating the communication. Rendezvous mode is used when both nodes are behind firewalls and allows for communicating without configuring the firewall.\n",
    "\n",
    "### SRT Error Recovery Mechanism\n",
    "\n",
    "Basically both the transmitting and receiving part are using an UDP port greater than 1024 to establish a connection between each other and apart of sending the stream, they are also establishing a service channel, which is continuously monitoring the line status and if needed is resending or re-orders the packets. \n",
    "\n",
    "The technique used by SRT to recover packet loss is called ARQ (Automatic Repeat Request). ARQ basically works by having a sender/caller setting a sequence number on each packet and a receiver/listener that checks that all packets have been received in correct order. Any lost packets are detected and the listener can request a retransmission of those packets.\n",
    "\n",
    "The caller is storing sent packets in a cache in case it need to resend them and the listener buffers received packets to be able to reorder the received packets in case they arrive in wrong order.\n",
    "\n",
    "### Building SRT\n",
    "\n",
    "The SRT library can be easily compiled under Linux with the following commands:\n",
    "```bash\n",
    "git clone https://github.com/Haivision/srt.git\n",
    "./configure\n",
    "make\n",
    "sudo make install\n",
    "```\n",
    "In addition to building the SRT library this also builds a couple of tools, one of which is `srt-live-transmit` for trying out the SRT transport.\n",
    "\n",
    "### Basic Usage of the srt-live-transmit Tool\n",
    "The tool `srt-live-transmit` is used to transport data between different points. It supports SRT/UDP input and output. In case of SRT Caller -> SRT Listener mode we can start the streaming with the following command:\n",
    "```\n",
    "srt-live-transmit udp://127.0.0.1:1234 srt://62.87.84.207:10000\n",
    "```\n",
    "where the `udp://127.0.0.1:1234` is the input unicast stream, but this can be another SRT stream, or just a multicast and `srt://62.87.84.207:10000` is the public IP address of the listener and 10000 is the assigned port. \n",
    "\n",
    "It is important to note, that in Caller -> Listener mode, the Listener should have a public IP address and the port should be higher or equal to 1024. \n",
    "\n",
    "On the listener side we need to define only the listening port and the output of the stream. Usually the output is also an UDP streaming: \n",
    "```\n",
    "srt-live-transmit srt://:10000 udp://225.0.0.0:20000\n",
    "```\n",
    "\n",
    "It is important to note the the above commands don't include any reporting of the stats. If you want to enable them you can change the above line to:\n",
    "```\n",
    "srt-live-transm “srt://:10000?latency=400” “udp://225.0.0.0:1234” -r:1000 -pf:csv -statsout:/path/to/log_directory/srt_stats.csv \n",
    "```\n",
    "Here every 1000ms a new entry in the `/path/to/log_directory/srt_stats.csv` will be added, if you want to change the frequency of reporting, you can change the `-r:1000` value. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### SRT Log Parameters\n",
    "A full list and description of the SRT log parameters can be found [here](https://github.com/Haivision/srt/blob/master/docs/statistics.md)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Live Demo\n",
    "\n",
    "I have used [Streamlit](https://www.streamlit.io/) to create a web portal from where you can upload your own CSV files, and do all hereto shown analysis in an interactive form and even to export the data in an Excel format. \n",
    "\n",
    "I have even prepared a `Dockerfile` and `requirements.txt` to build a docker container and wanted to deploy it on my test Raspberry Pi, but unfortunately the latest versions of pandas and pyarrow have problems compiling inside a docker container, so I would need to show it in a non-containerized version. Demo Video of the web portal can be found [here](https://cloud.gstoyanov.com/s/xm8QoENAe8iapeM). \n",
    "\n",
    "The source code is available publicly at my personal [Github account](https://github.com/stoyanovgeorge/srt_log_analyzer)\n",
    "\n",
    "**The demo is available at [https://gstoyanov.com/](https://gstoyanov.com/).**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "\n",
    "# SRT Log Analyzer Code \n",
    "\n",
    "### Import Statements"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "import datetime\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Dataframe Formatting\n",
    "\n",
    "The CSV log files usually contains information for both sides (receiver and sender) so we can remove the receiver specific columns from the sender log files and the sender specific columns from the receiver log files. This can be done with the `df_format` function which takes as parameters the original dataframe and a boolean which is `True` if the logs are for SRT sender and `False` if they are for a SRT receiver. The output of the function is the cleaned dataframe and the number of rows and columns. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def df_format(dataframe, sender):\n",
    "    \"\"\"Formats the Dataframe and removes the redundant columns whether the log files are for \n",
    "    receiver or sender device  \n",
    "\n",
    "    Args:\n",
    "        dataframe ([dataframe]): Input dataframe\n",
    "        sender ([bool]): Returns True if the logs are for a SRT sender and False for SRT receiver\n",
    "    Returns:\n",
    "        cleaned_df ([dataframe]): Output and cleaned dataframe\n",
    "        num_rows ([integer]): Number of Rows of the new Cleaned Dataframe\n",
    "        num_cols ([integers]): Number of Columns in the new cleaned Dataframe\n",
    "    \"\"\"\n",
    "    \n",
    "    if sender:\n",
    "        # Dropping all Receiver Columns\n",
    "        cleaned_df = dataframe.drop([\"pktRecv\", \"pktRcvLoss\", \"pktRcvDrop\", \"pktRcvRetrans\", \"pktRcvBelated\", \n",
    "                                     \"byteRecv\", \"byteRcvLoss\", \"byteRcvDrop\", \"mbpsRecvRate\", \"mbpsMaxBW\", \n",
    "                                     \"pktRcvFilterExtra\", \"pktRcvFilterSupply\", \"pktRcvFilterLoss\"], axis = 1)\n",
    "    else:\n",
    "        # Dropping all Sender Columns\n",
    "        cleaned_df = dataframe.drop([\"pktSent\", \"pktSndLoss\", \"pktSndDrop\", \"pktRetrans\", \"byteSent\", \n",
    "                                     \"byteSndDrop\", \"mbpsSendRate\", \"mbpsMaxBW\", \"pktSndFilterExtra\"], axis = 1)\n",
    "    # Originally the Time column contains the elapsed time in milliseconds\n",
    "    # Converting the milliseconds to human timestamp\n",
    "    cleaned_df[\"Seconds\"] = pd.to_datetime(cleaned_df.Time).astype(int) / 10 ** 3\n",
    "    \n",
    "    # Converting the Time column into datetime and then converting it to timestamp\n",
    "    cleaned_df.Time = pd.to_datetime(cleaned_df.Time, unit = \"ms\").dt.time\n",
    "    \n",
    "    # Reordering the Dataframe and placing the Seconds column at the beginning instead of the end\n",
    "    df_cols = list(cleaned_df.columns.values)\n",
    "    df_cols.pop(df_cols.index(\"Seconds\"))\n",
    "    cleaned_df = cleaned_df[[\"Seconds\"] + df_cols]\n",
    "    \n",
    "    # Finding out the number of rows and columns     \n",
    "    num_rows = cleaned_df.shape[0]\n",
    "    num_cols = cleaned_df.shape[1]\n",
    "    \n",
    "    return cleaned_df, num_rows, num_cols"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### RTT (Round Trip Time) Calculation\n",
    "\n",
    "The round trip time is the time in milliseconds it takes for a data packet to be sent to a destination plus the time it takes for an acknowledgment of that packet to be received back at the origin. \n",
    "\n",
    "If the link is stable and there is no network congestion the RTT should stay relatively stable throughout the data transmission. Higher than normal RTT might cause packet re-ordering or even packet loss. That is why the SRT protocol is numbering each packet and adding an additional buffer latency in the system, in order to be able to recover from errors caused by high RTT. \n",
    "\n",
    "The default latency used is 150ms and it should be at least three times higher than the average RTT between the sender and receiver. A higher latency is adding additional latency in the system, so it is always advisable to use as low latency as possible. \n",
    "\n",
    "The default latency can be re-written by passing `srt://62.87.84.207:10000?latency=400` this will increase the latency on both sides to 400ms. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def stats_calc(dataframe):\n",
    "    \"\"\"Calculates the minimum, maximum and average Round Trip Time(RTT)\n",
    "\n",
    "    Args:\n",
    "        dataframe ([dataframe]): Input Dataframe\n",
    "\n",
    "    Returns:\n",
    "        min_rtt ([float]): Minimum Round Trip Time in ms\n",
    "        max_rtt ([float]): Maximum Round Trip Time in ms\n",
    "        avg_rtt ([float]): Average Round Trip Time in ms\n",
    "        latency ([integer]): Latency in ms\n",
    "        duration ([integer]): Duration of the transmission\n",
    "    \"\"\"\n",
    "    min_rtt = round(dataframe.msRTT.min(), 3)\n",
    "    max_rtt = round(dataframe.msRTT.max(), 3)\n",
    "    avg_rtt = round(dataframe.msRTT.mean(), 3)\n",
    "    latency = dataframe.RCVLATENCYms.iloc[-1]\n",
    "    duration = dataframe.Time.iloc[-1]\n",
    "    return min_rtt, max_rtt, avg_rtt, latency, duration"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Getting the Stats of the Line\n",
    "\n",
    "The most important metrics of the line are its bandwidth, the dropped, lost and re-transmitted packets.\n",
    "\n",
    "In a perfect world we should not have any lost data packets, because this would cause freezing of the picture or pixelization. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def line_stats(dataframe, sender, num_rows):\n",
    "    \"\"\"Returns Dataframes containing the N number of n-smallest values \n",
    "    for the bandwidth, lost, dropped and retransmitted data packets \n",
    "\n",
    "    Args:\n",
    "        dataframe ([dataframe]): Input cleaned Dataframe\n",
    "        sender ([bool]): True for SRT Sender and False for SRT Receiver\n",
    "        num_rows ([integer]): Defines the number of rows\n",
    "\n",
    "    Returns:\n",
    "        dataframes: Dataframes containing the N number of n-smallest values \n",
    "    for the bandwidth, lost, dropped and retransmitted data packets if present.\n",
    "    \"\"\"\n",
    "    if sender:\n",
    "        # Printing the lowest bandwidth entry\n",
    "        print(\"Line Bandwidth Stats:\")\n",
    "        print(f\"Minimal Line Bandwidth: {dataframe.mbpsBandwidth.min()} Mbps\")\n",
    "\n",
    "        snd_cols = [\"Time\", \"msRTT\", \"mbpsBandwidth\", \"pktSndDrop\", \"pktSndLoss\", \"pktRetrans\", \"mbpsSendRate\"]\n",
    "        mbpsSendRate_df = dataframe.nsmallest(num_rows, \"mbpsBandwidth\")[snd_cols]\n",
    "        \n",
    "        # Checking if there are pktSndLoss Data Packets\n",
    "        if dataframe.pktSndLoss.max() > 0:\n",
    "            print(\"Lost Data Packets Stats:\")\n",
    "            print(f\"Maximal Lost Sent Data Packets: {dataframe.pktSndLoss.max()} packets\")\n",
    "            print(f\"Total Lost Sent Data Packets: {dataframe.pktSndLoss.sum()} packets\")\n",
    "            pktSndLoss_df = dataframe.nlargest(num_rows, \"pktSndLoss\")[snd_cols]\n",
    "        else:\n",
    "            print(\"No Lost Sent Data Packets Detected\")\n",
    "            pktSndLoss_df = None\n",
    "\n",
    "        # Checking if we have dropped sent data packets \n",
    "        if dataframe.pktSndDrop.max() > 0:\n",
    "            print(\"Dropped Data Packets Stats:\")\n",
    "            print(f\"Maximal Dropped Sent Data Packets: {dataframe.pktSndDrop.max()} packets\")\n",
    "            print(f\"Total Dropped Sent Data Packets: {dataframe.pktSndDrop.sum()} packets\")\n",
    "            pktSndDrop_df = dataframe.nlargest(num_rows, \"pktSndDrop\")[snd_cols]\n",
    "        else:\n",
    "            print(\"No Dropped Sent Data Packets Detected\")\n",
    "            pktSndDrop_df = None\n",
    "\n",
    "        # Checking if we have retransmitted sent data packets \n",
    "        if dataframe.pktRetrans.max() > 0:\n",
    "            print(\"Retransmitted Data Packets Stats:\")\n",
    "            print(f\"Maximal Retransmitted Data Packets: {dataframe.pktRetrans.max()} packets\")\n",
    "            print(f\"Total Retransmitted Data Packets: {dataframe.pktRetrans.sum()} packets\")\n",
    "            pktRetrans_df = dataframe.nlargest(num_rows, \"pktRetrans\")[snd_cols]\n",
    "        else:\n",
    "            print(\"No Retransmitted Data Packets Detected\")\n",
    "            pktRetrans_df = None\n",
    "        # Returning all the dataframes\n",
    "        return mbpsSendRate_df, pktSndLoss_df, pktSndDrop_df, pktRetrans_df\n",
    "    \n",
    "    else:\n",
    "        # The logs are for Receiving Device\n",
    "        print(\"Line Bandwidth Stats:\")\n",
    "        print(f\"Minimal Line Bandwidth: {dataframe.mbpsBandwidth.min()} Mbps\")\n",
    "        rcv_cols = [\"Time\", \"msRTT\", \"mbpsBandwidth\", \"pktRcvDrop\", \"pktRcvLoss\", \"pktRcvRetrans\", \"mbpsRecvRate\"]\n",
    "        mbpsBandwidth_df = dataframe.nsmallest(num_rows, \"mbpsBandwidth\")[rcv_cols]\n",
    "        if dataframe.pktRcvLoss.max() > 0:\n",
    "            print(\"Lost Received Data Packets Stats:\")\n",
    "            print(f\"Maximal Lost Received Data Packets: {dataframe.pktRcvLoss.max()} packets\")\n",
    "            print(f\"Total Lost Received Data Packets: {dataframe.pktRcvLoss.sum()} packets\")\n",
    "            pktcvLoss_df = dataframe.nlargest(num_rows, \"pktRcvLoss\")[rcv_cols]\n",
    "        else:\n",
    "            print(\"No Lost Sent Data Packets Detected\")\n",
    "            pktcvLoss_df = None\n",
    "            \n",
    "        # Checking if we have dropped sent data packets \n",
    "        if dataframe.pktRcvDrop.max() > 0:\n",
    "            print(\"Dropped Received Data Packets Stats:\")\n",
    "            print(f\"Maximal Dropped Received Data Packets: {dataframe.pktRcvDrop.max()} packets\")\n",
    "            print(f\"Total Dropped Sent Data Packets: {dataframe.pktRcvDrop.sum()} packets\")\n",
    "            pktRcvDrop_df = dataframe.nlargest(num_rows, \"pktRcvDrop\")[rcv_cols]\n",
    "        else:\n",
    "            print(\"No Dropped Sent Data Packets Detected\")\n",
    "            pktRcvDrop_df = None\n",
    "\n",
    "        # Checking if we have retransmitted sent data packets \n",
    "        if dataframe.pktRcvRetrans.max() > 0:\n",
    "            print(\"Retransmitted Data Packets Stats:\")\n",
    "            print(f\"Maximal Retransmitted Data Packets: {dataframe.pktRcvRetrans.max()} packets\")\n",
    "            print(f\"Total Retransmitted Data Packets: {dataframe.pktRcvRetrans.sum()} packets\")\n",
    "            pktRcvRetrans_df = dataframe.nlargest(num_rows, \"pktRcvRetrans\")[rcv_cols]\n",
    "        else:\n",
    "            print(\"No Retransmitted Data Packets Detected\")\n",
    "            pktRcvRetrans_df = None\n",
    "        return mbpsBandwidth_df, pktcvLoss_df, pktRcvDrop_df, pktRcvRetrans_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### SRT Log Files\n",
    "I have uploaded a couple of SRT log files [here](https://cloud.gstoyanov.com/s/oT8t4KT9epZq5Db)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Original number of rows: 287\n",
      "Original number of columns: 30\n"
     ]
    }
   ],
   "source": [
    "# I have created 5 variables, each containing the link to one of the SRT log files\n",
    "rcv1 = \"https://cloud.gstoyanov.com/s/AKeyeBaR7CTkNYH/download\"\n",
    "snd1 = \"https://cloud.gstoyanov.com/s/FymgaXymzeksMsX/download\"\n",
    "snd2 = \"https://cloud.gstoyanov.com/s/pHrLwcz6CexMgW2/download\"\n",
    "snd3 = \"https://cloud.gstoyanov.com/s/yqmBAAMi6jAnzXp/download\"\n",
    "snd4 = \"https://cloud.gstoyanov.com/s/FPmmQXbMX58K9F3/download\"\n",
    "\n",
    "# Creating a list of all SRT log files, you can easily loop through each of them\n",
    "df_list = [rcv1, snd1, snd2, snd3, snd4]\n",
    "\n",
    "df_srt = pd.read_csv(rcv1)\n",
    "\n",
    "# Getting the number of rows and columns of each dataframe\n",
    "print(f\"Original number of rows: {df_srt.shape[0]}\")\n",
    "print(f\"Original number of columns: {df_srt.shape[1]}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SRT Receicer Logs:\n",
      "Number of columns after cleaning: 287\n",
      "Number of rows after cleaning: 22\n"
     ]
    }
   ],
   "source": [
    "# Checking if the SRT log file is generated by the sender or receiver \n",
    "sender = df_srt.byteSent.iloc[0] != 0\n",
    "\n",
    "# Removing the empty columns from the input Dataframe\n",
    "df_srt, num_cols, num_rows = df_format(df_srt, sender)\n",
    "if sender:\n",
    "    print(\"SRT Sender Logs:\")\n",
    "else:\n",
    "    print(\"SRT Receicer Logs:\")\n",
    "    \n",
    "print(f\"Number of columns after cleaning: {num_cols}\")\n",
    "print(f\"Number of rows after cleaning: {num_rows}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
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       "      <th>pktFlowWindow</th>\n",
       "      <th>pktCongestionWindow</th>\n",
       "      <th>pktFlightSize</th>\n",
       "      <th>msRTT</th>\n",
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       "      <th>pktRcvRetrans</th>\n",
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       "      <td>1000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3.185</td>\n",
       "      <td>00:00:03.185000</td>\n",
       "      <td>797161664</td>\n",
       "      <td>679347</td>\n",
       "      <td>679347</td>\n",
       "      <td>0</td>\n",
       "      <td>43.018</td>\n",
       "      <td>1327.44</td>\n",
       "      <td>12</td>\n",
       "      <td>2957</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4021520</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10.09870</td>\n",
       "      <td>1000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.244</td>\n",
       "      <td>00:00:04.244000</td>\n",
       "      <td>797161664</td>\n",
       "      <td>679347</td>\n",
       "      <td>679347</td>\n",
       "      <td>0</td>\n",
       "      <td>43.127</td>\n",
       "      <td>1419.96</td>\n",
       "      <td>12</td>\n",
       "      <td>3964</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5391040</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10.16040</td>\n",
       "      <td>1000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5.293</td>\n",
       "      <td>00:00:05.293000</td>\n",
       "      <td>797161664</td>\n",
       "      <td>679347</td>\n",
       "      <td>679347</td>\n",
       "      <td>0</td>\n",
       "      <td>42.975</td>\n",
       "      <td>1798.37</td>\n",
       "      <td>12</td>\n",
       "      <td>4962</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6748320</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10.19850</td>\n",
       "      <td>1000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6.342</td>\n",
       "      <td>00:00:06.342000</td>\n",
       "      <td>797161664</td>\n",
       "      <td>679347</td>\n",
       "      <td>679347</td>\n",
       "      <td>0</td>\n",
       "      <td>42.914</td>\n",
       "      <td>1434.49</td>\n",
       "      <td>12</td>\n",
       "      <td>5950</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8092000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10.20660</td>\n",
       "      <td>1000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Seconds             Time   SocketID  pktFlowWindow  pktCongestionWindow  \\\n",
       "0    2.133  00:00:02.133000  797161664         679347               679347   \n",
       "1    3.185  00:00:03.185000  797161664         679347               679347   \n",
       "2    4.244  00:00:04.244000  797161664         679347               679347   \n",
       "3    5.293  00:00:05.293000  797161664         679347               679347   \n",
       "4    6.342  00:00:06.342000  797161664         679347               679347   \n",
       "\n",
       "   pktFlightSize   msRTT  mbpsBandwidth  usPktSndPeriod  pktRecv  ...  \\\n",
       "0              0  42.803        1393.37              12     1955  ...   \n",
       "1              0  43.018        1327.44              12     2957  ...   \n",
       "2              0  43.127        1419.96              12     3964  ...   \n",
       "3              0  42.975        1798.37              12     4962  ...   \n",
       "4              0  42.914        1434.49              12     5950  ...   \n",
       "\n",
       "   pktRcvRetrans  pktRcvBelated  byteRecv  byteRcvLoss  byteRcvDrop  \\\n",
       "0              0              0   2658800            0            0   \n",
       "1              0              0   4021520            0            0   \n",
       "2              0              0   5391040            0            0   \n",
       "3              0              0   6748320            0            0   \n",
       "4              0              0   8092000            0            0   \n",
       "\n",
       "   mbpsRecvRate  RCVLATENCYms  pktRcvFilterExtra  pktRcvFilterSupply  \\\n",
       "0       9.96962          1000                  0                   0   \n",
       "1      10.09870          1000                  0                   0   \n",
       "2      10.16040          1000                  0                   0   \n",
       "3      10.19850          1000                  0                   0   \n",
       "4      10.20660          1000                  0                   0   \n",
       "\n",
       "   pktRcvFilterLoss  \n",
       "0                 0  \n",
       "1                 0  \n",
       "2                 0  \n",
       "3                 0  \n",
       "4                 0  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Printing the head of the cleaned dataframe\n",
    "df_srt.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Seconds</th>\n",
       "      <td>287.0</td>\n",
       "      <td>1.603326e+02</td>\n",
       "      <td>9.522245e+01</td>\n",
       "      <td>2.133000e+00</td>\n",
       "      <td>7.743000e+01</td>\n",
       "      <td>1.526880e+02</td>\n",
       "      <td>2.462315e+02</td>\n",
       "      <td>3.215970e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SocketID</th>\n",
       "      <td>287.0</td>\n",
       "      <td>7.971617e+08</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>7.971617e+08</td>\n",
       "      <td>7.971617e+08</td>\n",
       "      <td>7.971617e+08</td>\n",
       "      <td>7.971617e+08</td>\n",
       "      <td>7.971617e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pktFlowWindow</th>\n",
       "      <td>287.0</td>\n",
       "      <td>6.793470e+05</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>6.793470e+05</td>\n",
       "      <td>6.793470e+05</td>\n",
       "      <td>6.793470e+05</td>\n",
       "      <td>6.793470e+05</td>\n",
       "      <td>6.793470e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pktCongestionWindow</th>\n",
       "      <td>287.0</td>\n",
       "      <td>6.793470e+05</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>6.793470e+05</td>\n",
       "      <td>6.793470e+05</td>\n",
       "      <td>6.793470e+05</td>\n",
       "      <td>6.793470e+05</td>\n",
       "      <td>6.793470e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pktFlightSize</th>\n",
       "      <td>287.0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>msRTT</th>\n",
       "      <td>287.0</td>\n",
       "      <td>1.541010e+02</td>\n",
       "      <td>6.667506e+02</td>\n",
       "      <td>4.270100e+01</td>\n",
       "      <td>4.324950e+01</td>\n",
       "      <td>4.365300e+01</td>\n",
       "      <td>4.481350e+01</td>\n",
       "      <td>6.789860e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mbpsBandwidth</th>\n",
       "      <td>287.0</td>\n",
       "      <td>1.373210e+03</td>\n",
       "      <td>3.300672e+02</td>\n",
       "      <td>4.404000e+00</td>\n",
       "      <td>1.274110e+03</td>\n",
       "      <td>1.374460e+03</td>\n",
       "      <td>1.470000e+03</td>\n",
       "      <td>4.837210e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>usPktSndPeriod</th>\n",
       "      <td>287.0</td>\n",
       "      <td>1.200000e+01</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1.200000e+01</td>\n",
       "      <td>1.200000e+01</td>\n",
       "      <td>1.200000e+01</td>\n",
       "      <td>1.200000e+01</td>\n",
       "      <td>1.200000e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pktRecv</th>\n",
       "      <td>287.0</td>\n",
       "      <td>1.450533e+05</td>\n",
       "      <td>8.311904e+04</td>\n",
       "      <td>1.955000e+03</td>\n",
       "      <td>7.347950e+04</td>\n",
       "      <td>1.449600e+05</td>\n",
       "      <td>2.167430e+05</td>\n",
       "      <td>2.882660e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pktRcvLoss</th>\n",
       "      <td>287.0</td>\n",
       "      <td>7.385969e+03</td>\n",
       "      <td>8.769330e+03</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>2.100000e+01</td>\n",
       "      <td>2.100000e+01</td>\n",
       "      <td>1.787500e+04</td>\n",
       "      <td>1.796100e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pktRcvDrop</th>\n",
       "      <td>287.0</td>\n",
       "      <td>7.171167e+03</td>\n",
       "      <td>8.523113e+03</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1.400000e+01</td>\n",
       "      <td>1.400000e+01</td>\n",
       "      <td>1.736800e+04</td>\n",
       "      <td>1.744300e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pktRcvRetrans</th>\n",
       "      <td>287.0</td>\n",
       "      <td>3.296864e+02</td>\n",
       "      <td>3.872287e+02</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>2.200000e+01</td>\n",
       "      <td>2.200000e+01</td>\n",
       "      <td>8.040000e+02</td>\n",
       "      <td>8.270000e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pktRcvBelated</th>\n",
       "      <td>287.0</td>\n",
       "      <td>1.211150e+02</td>\n",
       "      <td>1.400268e+02</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1.100000e+01</td>\n",
       "      <td>1.100000e+01</td>\n",
       "      <td>2.920000e+02</td>\n",
       "      <td>3.040000e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>byteRecv</th>\n",
       "      <td>287.0</td>\n",
       "      <td>1.972725e+08</td>\n",
       "      <td>1.130419e+08</td>\n",
       "      <td>2.658800e+06</td>\n",
       "      <td>9.993212e+07</td>\n",
       "      <td>1.971456e+08</td>\n",
       "      <td>2.947705e+08</td>\n",
       "      <td>3.920418e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>byteRcvLoss</th>\n",
       "      <td>287.0</td>\n",
       "      <td>1.004492e+07</td>\n",
       "      <td>1.192629e+07</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>2.856000e+04</td>\n",
       "      <td>2.856000e+04</td>\n",
       "      <td>2.431000e+07</td>\n",
       "      <td>2.442696e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>byteRcvDrop</th>\n",
       "      <td>287.0</td>\n",
       "      <td>9.752787e+06</td>\n",
       "      <td>1.159143e+07</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1.904000e+04</td>\n",
       "      <td>1.904000e+04</td>\n",
       "      <td>2.362048e+07</td>\n",
       "      <td>2.372248e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mbpsRecvRate</th>\n",
       "      <td>287.0</td>\n",
       "      <td>1.001259e+01</td>\n",
       "      <td>3.581957e-01</td>\n",
       "      <td>9.343410e+00</td>\n",
       "      <td>9.650065e+00</td>\n",
       "      <td>1.029190e+01</td>\n",
       "      <td>1.032620e+01</td>\n",
       "      <td>1.032970e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RCVLATENCYms</th>\n",
       "      <td>287.0</td>\n",
       "      <td>1.000000e+03</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>1.000000e+03</td>\n",
       "      <td>1.000000e+03</td>\n",
       "      <td>1.000000e+03</td>\n",
       "      <td>1.000000e+03</td>\n",
       "      <td>1.000000e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pktRcvFilterExtra</th>\n",
       "      <td>287.0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pktRcvFilterSupply</th>\n",
       "      <td>287.0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pktRcvFilterLoss</th>\n",
       "      <td>287.0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     count          mean           std           min  \\\n",
       "Seconds              287.0  1.603326e+02  9.522245e+01  2.133000e+00   \n",
       "SocketID             287.0  7.971617e+08  0.000000e+00  7.971617e+08   \n",
       "pktFlowWindow        287.0  6.793470e+05  0.000000e+00  6.793470e+05   \n",
       "pktCongestionWindow  287.0  6.793470e+05  0.000000e+00  6.793470e+05   \n",
       "pktFlightSize        287.0  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "msRTT                287.0  1.541010e+02  6.667506e+02  4.270100e+01   \n",
       "mbpsBandwidth        287.0  1.373210e+03  3.300672e+02  4.404000e+00   \n",
       "usPktSndPeriod       287.0  1.200000e+01  0.000000e+00  1.200000e+01   \n",
       "pktRecv              287.0  1.450533e+05  8.311904e+04  1.955000e+03   \n",
       "pktRcvLoss           287.0  7.385969e+03  8.769330e+03  0.000000e+00   \n",
       "pktRcvDrop           287.0  7.171167e+03  8.523113e+03  0.000000e+00   \n",
       "pktRcvRetrans        287.0  3.296864e+02  3.872287e+02  0.000000e+00   \n",
       "pktRcvBelated        287.0  1.211150e+02  1.400268e+02  0.000000e+00   \n",
       "byteRecv             287.0  1.972725e+08  1.130419e+08  2.658800e+06   \n",
       "byteRcvLoss          287.0  1.004492e+07  1.192629e+07  0.000000e+00   \n",
       "byteRcvDrop          287.0  9.752787e+06  1.159143e+07  0.000000e+00   \n",
       "mbpsRecvRate         287.0  1.001259e+01  3.581957e-01  9.343410e+00   \n",
       "RCVLATENCYms         287.0  1.000000e+03  0.000000e+00  1.000000e+03   \n",
       "pktRcvFilterExtra    287.0  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "pktRcvFilterSupply   287.0  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "pktRcvFilterLoss     287.0  0.000000e+00  0.000000e+00  0.000000e+00   \n",
       "\n",
       "                              25%           50%           75%           max  \n",
       "Seconds              7.743000e+01  1.526880e+02  2.462315e+02  3.215970e+02  \n",
       "SocketID             7.971617e+08  7.971617e+08  7.971617e+08  7.971617e+08  \n",
       "pktFlowWindow        6.793470e+05  6.793470e+05  6.793470e+05  6.793470e+05  \n",
       "pktCongestionWindow  6.793470e+05  6.793470e+05  6.793470e+05  6.793470e+05  \n",
       "pktFlightSize        0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00  \n",
       "msRTT                4.324950e+01  4.365300e+01  4.481350e+01  6.789860e+03  \n",
       "mbpsBandwidth        1.274110e+03  1.374460e+03  1.470000e+03  4.837210e+03  \n",
       "usPktSndPeriod       1.200000e+01  1.200000e+01  1.200000e+01  1.200000e+01  \n",
       "pktRecv              7.347950e+04  1.449600e+05  2.167430e+05  2.882660e+05  \n",
       "pktRcvLoss           2.100000e+01  2.100000e+01  1.787500e+04  1.796100e+04  \n",
       "pktRcvDrop           1.400000e+01  1.400000e+01  1.736800e+04  1.744300e+04  \n",
       "pktRcvRetrans        2.200000e+01  2.200000e+01  8.040000e+02  8.270000e+02  \n",
       "pktRcvBelated        1.100000e+01  1.100000e+01  2.920000e+02  3.040000e+02  \n",
       "byteRecv             9.993212e+07  1.971456e+08  2.947705e+08  3.920418e+08  \n",
       "byteRcvLoss          2.856000e+04  2.856000e+04  2.431000e+07  2.442696e+07  \n",
       "byteRcvDrop          1.904000e+04  1.904000e+04  2.362048e+07  2.372248e+07  \n",
       "mbpsRecvRate         9.650065e+00  1.029190e+01  1.032620e+01  1.032970e+01  \n",
       "RCVLATENCYms         1.000000e+03  1.000000e+03  1.000000e+03  1.000000e+03  \n",
       "pktRcvFilterExtra    0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00  \n",
       "pktRcvFilterSupply   0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00  \n",
       "pktRcvFilterLoss     0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Transposed Describe of the cleaned dataframe\n",
    "df_srt.describe().T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 287 entries, 0 to 286\n",
      "Data columns (total 22 columns):\n",
      " #   Column               Non-Null Count  Dtype  \n",
      "---  ------               --------------  -----  \n",
      " 0   Seconds              287 non-null    float64\n",
      " 1   Time                 287 non-null    object \n",
      " 2   SocketID             287 non-null    int64  \n",
      " 3   pktFlowWindow        287 non-null    int64  \n",
      " 4   pktCongestionWindow  287 non-null    int64  \n",
      " 5   pktFlightSize        287 non-null    int64  \n",
      " 6   msRTT                287 non-null    float64\n",
      " 7   mbpsBandwidth        287 non-null    float64\n",
      " 8   usPktSndPeriod       287 non-null    int64  \n",
      " 9   pktRecv              287 non-null    int64  \n",
      " 10  pktRcvLoss           287 non-null    int64  \n",
      " 11  pktRcvDrop           287 non-null    int64  \n",
      " 12  pktRcvRetrans        287 non-null    int64  \n",
      " 13  pktRcvBelated        287 non-null    int64  \n",
      " 14  byteRecv             287 non-null    int64  \n",
      " 15  byteRcvLoss          287 non-null    int64  \n",
      " 16  byteRcvDrop          287 non-null    int64  \n",
      " 17  mbpsRecvRate         287 non-null    float64\n",
      " 18  RCVLATENCYms         287 non-null    int64  \n",
      " 19  pktRcvFilterExtra    287 non-null    int64  \n",
      " 20  pktRcvFilterSupply   287 non-null    int64  \n",
      " 21  pktRcvFilterLoss     287 non-null    int64  \n",
      "dtypes: float64(4), int64(17), object(1)\n",
      "memory usage: 49.5+ KB\n"
     ]
    }
   ],
   "source": [
    "# Dataframe Information\n",
    "df_srt.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RTT (Round Trip Time) Statistics:\n",
      "Minimal RTT: 42.701ms\n",
      "Maximal RTT: 6789.86ms\n",
      "Average RTT: 154.101ms\n",
      "Defined Latency: 1000ms\n",
      "Duration of the Transmission: 00:05:21.597000\n"
     ]
    }
   ],
   "source": [
    "min_rtt, max_rtt, avg_rtt, latency, duration = stats_calc(df_srt)\n",
    "print(\"RTT (Round Trip Time) Statistics:\")\n",
    "print(f\"Minimal RTT: {min_rtt}ms\")\n",
    "print(f\"Maximal RTT: {max_rtt}ms\")\n",
    "print(f\"Average RTT: {avg_rtt}ms\")\n",
    "print(f\"Defined Latency: {latency}ms\")\n",
    "print(f\"Duration of the Transmission: {duration}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Line Bandwidth Stats:\n",
      "Minimal Line Bandwidth: 4.404 Mbps\n",
      "Lost Received Data Packets Stats:\n",
      "Maximal Lost Received Data Packets: 17961 packets\n",
      "Total Lost Received Data Packets: 2119773 packets\n",
      "Dropped Received Data Packets Stats:\n",
      "Maximal Dropped Received Data Packets: 17443 packets\n",
      "Total Dropped Sent Data Packets: 2058125 packets\n",
      "Retransmitted Data Packets Stats:\n",
      "Maximal Retransmitted Data Packets: 827 packets\n",
      "Total Retransmitted Data Packets: 94620 packets\n"
     ]
    }
   ],
   "source": [
    "df1, df2, df3, df4 = line_stats(df_srt, sender, num_rows)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Bandwidth Plot\n",
    "\n",
    "The bandwidth plot is probably the most important part of our analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Seconds</th>\n",
       "      <th>Time</th>\n",
       "      <th>SocketID</th>\n",
       "      <th>pktFlowWindow</th>\n",
       "      <th>pktCongestionWindow</th>\n",
       "      <th>pktFlightSize</th>\n",
       "      <th>msRTT</th>\n",
       "      <th>mbpsBandwidth</th>\n",
       "      <th>usPktSndPeriod</th>\n",
       "      <th>pktRecv</th>\n",
       "      <th>...</th>\n",
       "      <th>pktRcvRetrans</th>\n",
       "      <th>pktRcvBelated</th>\n",
       "      <th>byteRecv</th>\n",
       "      <th>byteRcvLoss</th>\n",
       "      <th>byteRcvDrop</th>\n",
       "      <th>mbpsRecvRate</th>\n",
       "      <th>RCVLATENCYms</th>\n",
       "      <th>pktRcvFilterExtra</th>\n",
       "      <th>pktRcvFilterSupply</th>\n",
       "      <th>pktRcvFilterLoss</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2.133</td>\n",
       "      <td>00:00:02.133000</td>\n",
       "      <td>797161664</td>\n",
       "      <td>679347</td>\n",
       "      <td>679347</td>\n",
       "      <td>0</td>\n",
       "      <td>42.803</td>\n",
       "      <td>1393.37</td>\n",
       "      <td>12</td>\n",
       "      <td>1955</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2658800</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>9.96962</td>\n",
       "      <td>1000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3.185</td>\n",
       "      <td>00:00:03.185000</td>\n",
       "      <td>797161664</td>\n",
       "      <td>679347</td>\n",
       "      <td>679347</td>\n",
       "      <td>0</td>\n",
       "      <td>43.018</td>\n",
       "      <td>1327.44</td>\n",
       "      <td>12</td>\n",
       "      <td>2957</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4021520</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10.09870</td>\n",
       "      <td>1000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.244</td>\n",
       "      <td>00:00:04.244000</td>\n",
       "      <td>797161664</td>\n",
       "      <td>679347</td>\n",
       "      <td>679347</td>\n",
       "      <td>0</td>\n",
       "      <td>43.127</td>\n",
       "      <td>1419.96</td>\n",
       "      <td>12</td>\n",
       "      <td>3964</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5391040</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10.16040</td>\n",
       "      <td>1000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5.293</td>\n",
       "      <td>00:00:05.293000</td>\n",
       "      <td>797161664</td>\n",
       "      <td>679347</td>\n",
       "      <td>679347</td>\n",
       "      <td>0</td>\n",
       "      <td>42.975</td>\n",
       "      <td>1798.37</td>\n",
       "      <td>12</td>\n",
       "      <td>4962</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6748320</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10.19850</td>\n",
       "      <td>1000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6.342</td>\n",
       "      <td>00:00:06.342000</td>\n",
       "      <td>797161664</td>\n",
       "      <td>679347</td>\n",
       "      <td>679347</td>\n",
       "      <td>0</td>\n",
       "      <td>42.914</td>\n",
       "      <td>1434.49</td>\n",
       "      <td>12</td>\n",
       "      <td>5950</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>8092000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10.20660</td>\n",
       "      <td>1000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Seconds             Time   SocketID  pktFlowWindow  pktCongestionWindow  \\\n",
       "0    2.133  00:00:02.133000  797161664         679347               679347   \n",
       "1    3.185  00:00:03.185000  797161664         679347               679347   \n",
       "2    4.244  00:00:04.244000  797161664         679347               679347   \n",
       "3    5.293  00:00:05.293000  797161664         679347               679347   \n",
       "4    6.342  00:00:06.342000  797161664         679347               679347   \n",
       "\n",
       "   pktFlightSize   msRTT  mbpsBandwidth  usPktSndPeriod  pktRecv  ...  \\\n",
       "0              0  42.803        1393.37              12     1955  ...   \n",
       "1              0  43.018        1327.44              12     2957  ...   \n",
       "2              0  43.127        1419.96              12     3964  ...   \n",
       "3              0  42.975        1798.37              12     4962  ...   \n",
       "4              0  42.914        1434.49              12     5950  ...   \n",
       "\n",
       "   pktRcvRetrans  pktRcvBelated  byteRecv  byteRcvLoss  byteRcvDrop  \\\n",
       "0              0              0   2658800            0            0   \n",
       "1              0              0   4021520            0            0   \n",
       "2              0              0   5391040            0            0   \n",
       "3              0              0   6748320            0            0   \n",
       "4              0              0   8092000            0            0   \n",
       "\n",
       "   mbpsRecvRate  RCVLATENCYms  pktRcvFilterExtra  pktRcvFilterSupply  \\\n",
       "0       9.96962          1000                  0                   0   \n",
       "1      10.09870          1000                  0                   0   \n",
       "2      10.16040          1000                  0                   0   \n",
       "3      10.19850          1000                  0                   0   \n",
       "4      10.20660          1000                  0                   0   \n",
       "\n",
       "   pktRcvFilterLoss  \n",
       "0                 0  \n",
       "1                 0  \n",
       "2                 0  \n",
       "3                 0  \n",
       "4                 0  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_srt.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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MkA73oaQxsfpZACAi7wZ+AWzF6aA3R0Q+bYx5KtXGKcp4IrJ0VtVCSS/iigXwA+B8Y8wWcEppgScAFQslrYicKW/s7FCUsSCRnEW7KxSWbUB7iuxRlHGLVkMp6UwinsVyEXkSeAgwwD8Bb4rI+wGMMY+m0D5FGTdEJrjHzg5FGQsSEYtcoA44175vAPKAy3HEQ8VCSQsi57NQtVDSi7hiYYy5bjQMUZTxjo4NpaQzcXMWIjJXRP4iIg0iUi8ij4nI3NEwTlHGEzrqrJLOJJLg/gNOvmIaUAP8Ebg/lUYpynhEE9xKOpOIWOQbY+4zxgTt6/9w8hgxEZFcEVkmIm+JyFoR+aZdP0dE3hCRLSLyoIhk2/U59v0Wu32271i32PUbReSSQztVRTk8dLgPJZ0ZVixEpNxOrfqUiNwsIrNFZJaI/BvwZALH7gUuMMYcD5wAXCoipwPfA+40xswHmoHr7f7XA812/Z12P0RkIXAVsAi4FPiZiGQeyskqyuEQilAIVQslvYiV4F6B8x/hTqv6ad82A9wS68DGaYZ12LdZ9mWAC4CP2PX3At8Afg5cYZcBHgZ+KiJi1z9gjOkFtovIFuBU4LXYp6YoySWsnfKUNGZYsTDGzDncg1sPYAUwH7gLZ8iQFjvkOcAeYLpdng7stt8dFJFWoMKuf913WP9n/N91A3ADwMyZOi24knwichaqFkqaMaxYuJ3uhiORznjGmBBwgp1Z70/AUSO2MEGMMXfjTM7E4sWL9T9ZSTo63IeSzsQKQz0MrLIvGAhHwQg74xljWkTkBZyhzktFJGC9i1pgr91tL84sfHtEJACUAI2+9S7+zyjKqBHSgQSVNCZWNdT7gU3AccB2nPksrrOvT8Q7sIhUuXN1i0gecBGwHngB+KDd7RrgMbv8uH2P3f68zXs8Dlxlq6XmAAuAZSM4R0VJChGd8sbQDkUZC2LlLP4M/FlECnCSzD8QkQrg340xLyZw7GnAvTZvkQE8ZIz5q4isAx4QkduBlcCv7f6/Bu6zCewmnAoojDFrReQhYB0QBD5rw1uKMqoY7ZSnpDGJjA3VA7QCbcAsEuhjAWCMWQ2cGGX9NpxqpsHre3AGKYx2rG8D307kexUlVYR18iMljYmV4L4Ap3V/KvAs8CNjzPLRMkxRxhs63IeSzsTyLJ4FVgN/B3KAj4vIx92NxpjPp9g2RRlXaIJbSWdiicUn0DyeongYHXVWSWNiJbh/O4p2KMq4J6xjQylpTKyxob4R78OJ7KMokwXNWSjpTKww1CdFpC3GdsFJgH8jqRYpyjglrDkLJY2JJRa/BIrifP6XSbRFUcY1WjqrpDOxchbfHE1DFGW8o2EoJZ1JZPIjRVHQObiV9EbFQlESRIf7UNIZFQtFSRD1LJR0ZsRiISL/KiIftsOIK0raEIpIcKtaKOnFoXgWApzFCOazUJTJgE6rqqQzI/YOjDF3pcIQRRnvGO1noaQxccVCRHKADwCz/fsbY76VOrMUZfyhOQslnUnEs3gMZz6LFUBvas1RlPFLKAwZ4oSgNGehpBuJiEWtMebSlFuiKOMcYwyBzAz6gmHNWShpRyIJ7ldF5NiUW6Io45ywMQQyxFtWlHQi1kx5a3DmswgA14nINpwwlADGGHPc6JioKOODsIFMccRCpUJJN2KFod4zalYoygQgbAyZmVYs1LNQ0oxYAwnuBBCR+4wxH/NvE5H7gI9F/aCiTFIiwlCatFDSjERyFov8b0QkEzg5NeYoyvglHIZAhvMvo1qhpBuxZsq7RUTageNEpM2+2oF6nHJaRUkrwsaQqQluJU0ZViyMMd81xhQB3zfGFNtXkTGmwhhzyyjaOKHo6gtyzT3L2HGwc6xNUZJM2OCJhWqFkm7EqoY6yS7+0bfsYYz5R8qsmsDsONjFi5saWLm7mdmVBWNtjpJEjC9nYbQeSkkzYlVD/cD+zQUWA2/hlM0eBywHzkitaROTnmAIgN7+8BhboiSbUEQYaoyNUZRRJlYY6nxjzPnAfuAkY8xiY8zJwInA3tEycKLhikRvUMVishE2EMh0E9yqFkp6kUg11JHGmDXuG2PM28DRqTNpYuN5FvavMnmICEOpVihpRiJjQ60WkV8B/2fffxRYnTqTJjaeZ6FhqElH2BgytJ+FkqYk4llcB6wFbrSvdXadEoVez7NQsRiv/OjZzTy8Ys+IPxcK+xPcipJexPUsjDE9wJ32pcRhIGcxscJQr21tZOG0Ykrys8balJTzxxW7OWpqER88uXZEn/OXzmrOQkk3YnXKe8j+XSMiqwe/Rs/EiUXPBPQsevpD/POv3+DB5bvG2pRRoaM3SFffyMS8raef9p6gb9TZVFimKOOXWGGoG+3f9wCXR3nFRERmiMgLIrJORNaKyI12fbmILBGRzfZvmV0vIvJjEdliBekk37GusftvFpFrDvFcR4WJmLPo7gsRChs6eoJjbUrKMcY5z84oYnGgtYemzr6onzv9O8+xfn8bGSJkiA4kqKQfsUpn99vFC4FsY8xO/yuBYweBLxljFgKnA58VkYXAzcBzxpgFwHP2PcC7gAX2dQPwc3DEBbgVOA04FbjVFZjxSE//xKuG6u6feN7QodLTHyYYNnT1DhXGz/x+Bd/6y9qon3M9kc6+IBkiGoZS0o5EEtwzgf8VkW0i8kcR+X8ickK8Dxlj9ru9vI0x7cB6YDpwBXCv3e1e4Eq7fAXwO+PwOlAqItOAS4AlxpgmY0wzsAQYtzP3uQ/cifTgTSexaO/tB4gahqpr7aGuLfbMwSt3tSCipbNK+hFXLIwxtxpjLsAZffZl4Cs483EnjIjMxunM9wYwxee1HACm2OXpwG7fx/bYdcOtH/wdN4jIchFZ3tDQMBLzkkpPnAdvKGz4n2c20tgxfqYz77YPTtf2yYwbauvqG+pZtPcE6YjicQCU5A0k/kVEcxZK2hFXLETk6yLyFPAMMB/4MpBwGYmIFAKPAF8wxrT5txkn8JuUfztjzN22l/niqqqqZBzykBjwLKI/eLcf7OTHz2/huQ31o2lWTNLKs/DEIvL3CYcNHX3Di0UwFGZ6aR5/+ORpmrNQ0pJEwlDvByqAZ4FHgcd8nkFMRCQLRyh+b4x51K6us+El7F/3qbkXmOH7eK1dN9z6cYnnWQyT4HZFpHOYh9JY4HoWEynPcqi4YtAbDBPyuQcdfUGMGRATP8YYuvtDvO/E6bxjfqXmLJS0JJEw1Ek4Se5lwEXAGhH5e7zPiYgAvwbWG2P+x7fpccCtaLqGgbkxHgc+bquiTgdarSg9DVwsImU2sX2xXTcu6YmTs3DXjyuxiCNwk4n2nn5v2R+KckWio7d/yGf6QmHCBvKyMwGsWKTYUEUZZ8TtlCcixwBnA+fijD67Gyd3EY8zcaZeXSMiq+y6rwF3AA+JyPXATuBDdtuTwGXAFqAL20vcGNMkIrcBb9r9vmWMaUrg+8eE3jjVUK7n0dE7flrx8fIskwm/59DVF6IoN8uud0Sipz9MfyhMVuZAO6rHimhOwFknaKc8Jf1IZGyoO3DE4cfAm8aYoU2vKBhj/o7zfxWNd0bZ3wCfHeZY9wD3JPK9Y82E9CzSMAwFkXkLv4h09gYpzc/23rti6noWWg2lpCOJDPfxntEwZLLQGy9n0T8OxSJNPQv/b+APT7X3RIqFK6Z5WTYMlSGa4FbSjlgz5a0hRqWSMea4lFg0jqhv76G6KHdEn+mJUw3lrh+u6iaZGGP42dKtXH5cDTMr8ofdL51yFol4FoN/G3cIF08sNGehpCGxEtzuMB9/s6+P2teT9jWp2XGwk9O+8xxv7hhZeqQ3TivdC0NFqfNPNi1d/Xz/6Y08+Xbs4rV0CkNF5iwGlttiiIV7fXI9sdCchZJ+xBruwx3W4yJjzL8ZY9bY1804FUmTmr0t3RgDuxq7RvS5eD24e0cxwe0KUrxB8wbEYvJ7FpHVUKGo6wePkeV6Xq5YQPI8i7aefg6Oow6aijIcifSzEBE50/fmHQl+bkLT2u08PFq6E8rne7hiEAobgqGhD9/RTHAn2jPbfRimRQ/u3iBldhj24cJQ7YN+Gzc8N1A6C8ma0eL2v67jU79bnpRjKUoqSaQa6nrgHhEpwaluagY+kVKrxgFtViRaRygWPb7WeW8w7M3Z7F8HoyMW7sOwO55nkUYJ7o6eIFOKc2nu6h/UzyIRz8L5LTNECCfpUu1v7aGutSc5B0shS9bVUV2Uw/EzSsfaFGWMSKRT3gpjzPHA8cBxxpgT3AECJzOuSLQdgmeRlelUDEd7+A6EoUZPLOKFodKtn0VVUQ4w1LOoLHQqoAZ3zBtSDZXEnEX7MMOljze+8fhafr5061iboYwhiXTKywE+AMwGAk7HbDDGfCullo0xbT2H7lmU5WdxsKMvaljH71kYY3CvZyro7ncEKW4Yqi8ydDbYG5pM1Lf3sHh2GSJEDFPe3hOkuiiXxs6+IZ7F4GqoZA4k2NEbHJV74XBp7uqjqSv6XB9KepDIU+ExnOHDg0Cn7zWpaT2EMFQw5Iw3VGxHKI3WUncf3GEz0DM4VQx4FrG9GH8Lezx5F8FQmHASa1S7+oI0d/VTU5pHflZmRIu+vaef4rwAhTmBITkLV0xzsvyd8pJjV0dPkGDY0BclvzVe6OkP0dUXonmYiaEOl0117d71bOrs49rfLGPHwUn/iJlwJCIWtcaYDxtj/ssY8wP3lXLLxpi2bueB0TKC1pSbryjOdcVieM8CUh+K6rIVV91xPAu/5zGexOL8Hyzlc/cnL+K5r8XJDUwvzSM/JzAkDFWUm0VRTmCoZ9E/OAwlSUpvD9wDXeNo+JfBtHQ5DabmFHgW2w92cvGdL/HS5oMA/OT5zSzd2MDjb+1L+ndNVH7zynZe3XJwrM1ISCxeFZFjU27JOONQPAs3H+HOfRCtk5v/YewmuVfuao5aOfXYqr1eOOxQcD2K7jgeTHeEWIyPh1ZLVx+7m7p5cs0BtieplbmvpRvA8SyyMyM8rsbOPioKsinMDdDW08/KXc1sPNAOOB5gZoZ4uagMcVrDOxsj7dp+sHNEpdbhsPHEwv3b2RscdmrXscIVieau/qR6ejDwm9S1OUK+dKMzF01xbiK1N+nBD5/dzANv7o6/Y4pJRCzOAlaIyEY7N/YaEVmdasPGmoGcReKtf8+zsGLR0x/iufV19EVUSA08jDt6g2w/2Mn7fvYq//HY2xHH2tbQwY0PrOJT9y7HGMPPl26lvq2HDhvfToSufrcaKvY5dPeHbDno+OnFvX5/u7d876s7IrbVt/fwq5e38fbe1hEdc0AscinKDXjFC+Gwoamzj8rCHCoLc2ho7+XmR9bw7SfXA871yQ1keDmFDBHW7mvjPx6LnIL1pgdXceODK+Pa8cKGep5eeyCiY6br5Vxx1yucdNsSb/2Db+7i3/+0ZkTnmWxcsQiFTdQh3IfjVy9vY82e2L+R67V09AQ50NrjNQzaJul88E+vPeAJYyIEQ2Fau/tHXMKfChIRC3du7ItxenS7PbsnNf5qqEQfzm64wm0VLd/ZzPX3LufBN3d5+/gfxp29QTbsd+aDun/Z7ojv2dXktFDf2N7E5voOvve3DTzw5m5O/fazPLOuLiF73Fh7vDBUd1/Y84ZufnQ1K3c1J3T84bjl0dU8vfZA3P2++NAqHlsVfWqSDQec61JdlBPRgjfGcPXdr3P7E+u564UtI7JrX0s3GQJTinMpy8+muWvAewyFDRWF2UwtzqWurZe9Ld3ssb9Bd3/I62MBTs4CGGLXlvoOVu9pjRtevOOpDdz+xLqI/dzlLfUdAF4D46uPrOH3b+zird0tIzrXZOI+0AEvyX3NPcv4rhXTaITDhm8/uZ6HlsduEbtC1NEbjLieI61CnAj0h8J8+r4VvOOO5xP+jHuPjiQcnioSKZ11e3J34/REStrsduMZN2fRFwrHfdi6vLHNGRpkfnWh8367894/K15PMETANuM7+4JsODDQgnb3B9jdNBDO+MMbjthsqe+gqy/E1oYOb9vafa3c9OAqNtUNHMcl0X4WPf0hb+C817c18dDyPfFOlQeW7Yr6nR29Qe5ftpvfvrIj5ueNMfzlrX08tz76jIHr97dRUZDNcbUl7Pf1Q9jT3FoJdakAACAASURBVM3WBuehUt8+sp7Pe1t6mFKcS1ZmhhWLPv6++SAvbXZCHxWFOVQX57K/tZuO3qDtxW/o6Q/5em8PPNj3tXR7Eygd7OijozdIKGxYtr1xSAXak2v289Sa/XT3hdhc387upm52+kJWg4sQdjU555hvRepXf98+onNNJv5chbu8dl8ba2J4du09zmRS9e09XHzni/z2lej2uw/B9p5+DnYMfM/hhF/jEQyF+erDq6Pev+D8Pyy+/Vn+9nb8Bs9IcL2yUNiwzfc/HIuBEOAEEAsRea+IbAa2Ay8CO4CnUmzXmGKMoa2732ttJ5K36A2G+OXL2ziutoQz51cC8I+dTgv91a2N3sOgtz9MeYFbzx9iU107pbZH8dp9A7PO7mrq8lqwrojsbnYeLm5Lr7Wrn/f/7FX+tHIvf165l57+ENf9ZhnL7XhWiYiFMYauvmDEHNNr98UOHfSHwtz86BouvvOlIdu22wf58p1NnPv9F/jNMA+Jjt4g/SHDAeuSr9rd4rnnj/5jDy9tOshR04qYWpLr7eO/FotqijnQ2sOB1p6ECwX2t3ZTU5oHQFl+Fs2dfXz9z2v42qNOmKeyIJupxTleWWxvMExTZ98Qsahr67XXwVDf7ti2w9cq/sRvl3PTg6vwc9cLW7hr6RY2HGjzju9PWnYOSnBvqe+kraff+w1f2jR288r7PYvmzj6MMbR09cUcpqSl23m4bWvoZFNdB+v2t0Xdz205d/QGveOVF2R7jbVkYIzhN69s9+a939nUxYPLd/PCMFMb17f1crCj1/Nuk4W/4+f9y3bxn4+9zd83x05cu/mrls6x97QSCUPdBpwObDLGzMGZi+L1lFo1xvQGw/SFwswodx4srlgYY/jzyr3sbupi9s1PeP/Anb1B3vuTV9h+sJN/PW8+cyoLqC7KoaM3SHlBNn3BMK9uafSOPbuygMwMYeOBNjbWtXPanHJyAhkcaO32bNjV1MW8qkLKC7LZbFtAe5qd7c2dffx19T6W72zyEuab6zt4bWsjL2xs4K+rnYEDu70Ed2hIKM1NVPYGnVngXMEC2LC/nb5gmH0t3VH7aBzwtfQHH3fbQafF1B8y7Gzs4ofPbo56jZvtzX+gtYfW7n6uvOsVbrDDXnzzL+s40NbDpYumMq0kj5aufs+OZdsbKc3P4uwFVdS19XD+fy/lpNuWRE3Mr9vX5uUpwOktPbXEGUW4rCCbtp4g+1t7vBLaisIcphRHjjK8r6WH7r6QVwk1GPc3cWPt7j3z1NsHIpLBjrD18ravQfByhFg4v5XrdW5t6GCbFd4jpxSNKFeVLP7nmY08tmpvRMlsU2cf7b1Oua/fExiMKwJbbAu6uSv6w67Z8yyCNHb0IgKzKvKT6llsbejgm39Zx59WOiHP/bYqbrhCAtemlmFsfnrtAU94RoI/33P/st387rWdfPGhVREiMhjXxvbeIP1jXF6diFj0G2MagQwRyTDGvIAzY96kxRWHmeXOsN6t9qZZtbuFLzy4ih8/5zwAb39iHQBv7WlhY107333/sVx6zFSyMjO46hRn2vCrT51BYU7AC0X1BkNUFGRz0sxSnl1Xz46DnRw5tZhpJbkcaBu4AXc3dTOjLI+pxbkE7UOnwYZd1u5r43N/WMn19zoP1xNmlLKprp1n1zu5jDV7WwmFjdcqDZvIKqzW7n7mfu1J7l+2yztmbVmet70vFGbDgTYuufMlfvnStiHXx/8A3jmo+mdrQyciUGDDJwW+WP//vb6TdfZh6f5DHmjr8cokG+0/RndfiM+cN4+PnTGbqfbhfaC1hx0HO3l+Qz2nzC6nptS5Lt39IfqCYW55ZE3EnNrhsOHj9yzzktTu9asqdHpvl9mwm/+6VBRmM6UkUiz2tnTR0x+OIRbO+e842EkgQ/jL587iW1cssteiw35HiMbOPho7e1m5q5my/CyOnFLEyl0DeYiuviDhsCFkBWFbQydbbf7i+BklhMIm5f1y/DR29PLTF7Zw90vbaO7q9/JwzV19nng0dfYN+wBzw0uuvg3XR6PF51k0dPRRnp9NWX52UsVix0HnN3LzgPtso6yps4/Nde1DzqEpRuinvr2HT9+3gt+9ttNb98CyXext6ebxt/bFTF6753TZsVPp6A2SnZlBQ0dvzJ7xfkGLJl5bGzpGbSDKRMSiRUQKgZeA34vIj5jknfIGxKIAGPjB3OSj+xDYVNeBMca7Gc85oso7xkdOm8WC6kIuXTSNs+ZX8sKGeowx9AbD5AQyOHtBFRvr2gkbWDyrjCnFuZ5nYYxhd1MXM8vzvZawH3/OoiA7k3OPqGJnYxdPrnE8ihU7m5n3tScjEuE9/SFCturnGZt8fmTFHi/EM7uiIOI7lqyro703yOoocel9Pg/otW2N3PLoGpZudMRwW0MHM8ryeexzZ/LZ8+exz3oOy7Y38fU/v83NjzqFdO4/ZF8wzK9edgRpemkevcEQfaEwhTnOw2maPf99Ld1c85tlhA184cIFER7ACTNKeXTlXn7y/IAXs7ne+SdyvbKe/hAdvQNDffg9KXDKYcvys4d4Fnuau2ns7CUnK/q/yp4m51rsaOxkZnk+pfnZvGOeE4ZcaZPS9bYRYAy8tOkgC2uKOa62JOI4Hb0h2nuD3sN1c307Wxs6yMoUjp5WDEB7lPnBU8VzG+oJG6dhsu1gB7Vl+WRlCs9vqPcEH5z/jbte2DKkMm1w6Ha4mLvfszjY0UtlYQ7FuYGYYag/Lt/N9b990/t/dO0YzvPa2TRILGxjZ2tDBxfd+RIf/MVrEZ9tieFZbLBVepvrnb+NHb3c/OgazrzjeT5//0ovpBkN17O44oTpAFy8aArvOmYq//f6zmHHivOL7LPr6yKKANbta+OdP3iRL//xrWG/M5kkIhZX4MyJfRPOvBZbmaTVUFvqO7jhd8u9h+lZNvcwONSwqW7gJt1+sJMdjZ1kBzKY5nvQTC3JZckXz+XY2hIuOLqaA209rNrdQk9/iJyA84AHRyjOOaKKaSW57G/t4U8r97Cxrp323iAzhhELf2t4XnUhR04tAhxX/4KjqqOe296Wbs75rxc46bYlXpnutNI8L6TkelHgdD571iae3YftT5/f7JVBup3bKguz+cEzG7l/2S6+/EdHBLY1dDK3qoD51UUsnlUOwHPr6/hP+51u7N//T+B6J63d/V6HuCLbknXP/y+r97GzsYtbL1/IopoSz+MA+MnVJ3LizFIv1Afw2lYnxLOjsYtQ2HgelDv+k5s3cikvyCYzQ6i2YlJRkI0I3P7EejbVdXD+kUOva2VhjndvbKnvYE6lI7hzKwsoyg14noM/QX+wo5cF1UXMs0UQLl19Qc+DnVNZwOo9rTy2ah9HTCnyvKDBnQVTyZJ1dWTbOcdX7mqhvCCb/pDh9W1NfMGXj9lxsJPvP72Rh1dEFkUMftD6w1ChsOHXf98ecc4drlgUZVOclzXEswiHnbzDs+vq+MrDq3luQz33vbYDcB7+J922hLujeMEwULXmioUbhnJDgm/tbvFCtzAQIo1WgeTmMVyh2tkU6Vk3xugj44rF0VOL+cE/Hc+/XXIU1581h7aeID9funVIX6tNde1s8/UxuuXRNfz3M5t871dH2JJqEqmG6jTGhI0xQeAJ4Cc2LDXpyM3K4Jl1dfz4+S2U5mdxxrwKinMD3k3mxpD9CdXHVu1j+8FOZpXnk5ERfWyfC4+eQll+Fp/63XLq2pxW6nG1Jdz9sZO59xOnAjClJJc9zd3c9OBbXPrDlwlkCOcdWR3xUIzG/OpCjpgy8OC5+V1HRd3vR89uZl9rNx85baYXzqhv6/Hc5tmVA57FvOoC1tuE5K6mLjYcaOO/n9nEl//4FqGwYV9LN+UF2XzlkiO9uLUba9/Z2Ol5KUdYEfviQ2+xq6mLzAyhubOPxo7eiKQ1OA/I5q4+79oWZEeKxf3LdlOQncnFC6cCAx5HfnYm00vzOGpqkRcf/9XL2/jGX5wQYV8wzN7mbs9Vdz2LsvxIsagocNZnZWZQWZjNtNJcb58b37mA686cPeSa1pblsbelm95giK0NnRw1zTnfjAzh2OklXlJ3v88Tc65voScs7jl09oa81vhnzptHblYGe1u6+cx58zwvazQGn3R5c0cTVxxf44WfKgqz+Y/3LAQiGyv/8ASx27eueUhHypauPi+Hs2p3M7f9dR0vbGiIKJ1t7OiznkWWraYaaO2/sb2Jb/5lHZ9/YCXZgQzOXlDJk28fIBQ2NNp78Pdv7CIabmNkT1M34bDxPGN//6ffvzEQVvJ3QnRt32cr41zPYvvBToKhcETV4uDrMBg3N1GUG+ADJ9cysyKfk2aWcd6RVfz0hS38r0/svve3DVx850tensVlu80JhsOG9baS0n8eV9/9utcwSzbDioWInC4iS0XkURE5UUTeBt4G6kTk0pRYM8bUluVzxtwK+oJh3jGvgswMYUZ5/oBYHBxQ8IqCbM49oooH39zN1vqOiIftYMoLsvn9J0/3Hqy5WZmICBcvmkqBG24ZJArXnzWH+dWFUT0LP0dMKWJuZSGfOW8ez37xXBZUF/LFi45gXpVjjxtrf2ZdHZcfV8N33ncsS246h0sXTaWhvZcDrT3kZWVSaWP5APOrBsQnbOCXLzkVTRvr2rnyrld4eMUeppXk8oGTarngqGqOmFLIgbYedjd10dkX8h7kNSW5VBbmUJKXxZIvnsvHTp/FvpZuLvvxy/zX3zZGnMe5R1TR3NXvtb4K7UMqP3ugJ+97T6jx+jtUFOaQmSEsmFJERoYwv7qIJitE/7PEaX2dNNMZTnvbwQ7v2rvn6Q9D5QQyqCgcEI8F1UUcUV3Evdedyp8/eyY3XXRExCB/K//jIt669WJqy/LY09zF5roOQmHjhYvAEb8dBzv52dIt/PufIv9551cVMtd3vxTlBujsDXpiMbuigE+fM4/zj6zismOmedditDyL5s4+Wrr6OXJqEXd99CS+dtlR3HThEVx/1hyufcfsiH3/YfvkuB5qOGz4yC9f57eDOlKGzUDMfq+XYO71zrndTgJVWZhDcV6AUNhw04OreHFTA7/++3aeWOPktbr6QpyzoJIPnzKDhvZe3tzR5InocA/qnY1OHq0vFKauvSci5wZw7Ttm8/q2Jl7f1sh3n1rvlQS3dPXR3tPPO+54nnfc8TwPvrmb9QfaEXEKOHY1dXk99n/44RP49DlzqWvrHTYkNvjeBmdQynuuOYWZ5fleA62ps4//fXEgj1Hk239nYxfGGBo6eukLhqkqyqG+3ane6ukPsaWhI2Uda2P1qf8p8DWgBHgeeJcx5nUROQq4HyckNen44Mm1vLat0St/nVmez8a6dkJhww5fMreiMJuPnDaTT9+3AoALF06JedyjpxVRkpdFa3c/OYGhGj21ZCDB/MxN5zDPPrCH8yyqi3K49fJFnDW/kowM4auXDngUn3/nAg529LK1oZOKwmwvVPKuY5xW+YIpRdSU5vHy5gYOtDkVQn6b3H4izlDc8Mg/9jC/upCLFk7hT//YS2/QKf8NZGZwz7Wn8OqWg3zkV2/wvE3iVxc7D2QR4bkvnkt+TiZZmRnUlObS2Rfyqo/c6+F+pi8Y9jyAopyBW/Puj51Md3+IS639gCMU1YWeILg2r9/fTnd/iM+/cwEfP2MWi29/lm0NnZ7IVA5KcOdmZfDBk2upLRsIw/3ymsVkikR0xPNTZkNYtWX5PL32gBfDHywWrd39EaKYm5VBT3+Y+dWFFOcNnF9BdoDOvqBXblqSl8VNFx3hbXc9i8EDHKYKt1E0t6qAsxdUcfaCgVzcLDuXuzOYopMfg4FQW1tPv+e5luVn0dzVTyBDCIYNzV39lOZnew/rXU1dhI2Td3N7bFcW5lBkx1b786p9/HnVwBhRU4tzaejo5fLjazh9bgUAG/a3Mc2WQ/eHnAd0KGz45cvbeP9J0ynPd+7/Y2pKWLO3lZ2NXV4YFSA7M4NPnTOX+5ft4qq7I4s823qCvLW71SsUeXVrI1vqnerF17c1saW+g11NXVQX5XDlidOpKMzmf1/axtKN9dzx1AZuuugIrj51pne89p5+8rKc/wU/GRlCRWG2F7pbutHJF33lkiP5/tMbIyfm6nEGw3QLK86YW8Hjb+1j8e3Pctqccpo7+yIaPskkVhgqYIx5xhjzR+CAMeZ1AGPMhpRYMk64/Pgavv7uo7nSJqFmluezraGTeV97kr5g2BsfqKIghwuPnsIC+5CqieMBiAiz7T9aNLFwwyNTi3M5YkoRmTas47bSB4tGdXEO7z5uGiWDErUuM+zDz39jLphS5C1PKc6hs88Jn0wpziE/O5P3nzid+z91uvfgPba21HtQXbpoKl+99Cju/PAJQOR8DoumO8latxqrumjA1pL8LM+GaT5BBEdwL144hW++d5H38N5thc3f+rp40VSuOGE6OYHIh/cf/+UML+zm/g6vb2vEGOd6VRRkU5wb4Nn1dV4HLPcfKT87k+xABtVFudx+5bH8y7nzvOMW5gSGFQo/tWV59IcML25uIDcrI6JIYHDBADg2leRlUVmYHXEuBTmRnoW/z4trD4yeZ+F2epxbWThkm5vbqijIobooxyv+aOjopT8UjiinrSnNY2Z5PmfMcx7s7r6uWGy3hSEzfPmyysJsbyBOgI+dPstr5HxocS2v3XwB7z2+hoqCbHICGexr7Yno7d3U2ec9rB9ZsZd9LT0Ew4azFziNv7f3ttLdH/LCgFNLcplemseTN57N19999JDz/bstbz6utoSn1x6gP2T4wEm1gFMWvMsWogAcNdVpLHztT2uob+/lz4NCSM5gldHb56V5WV5j4bn19VQV5fDJs+cAcMz04oh971+2ixftGFquaIITqguGzZB8XLKI5Vn4fZnB/t2k7cGdHcjgk2fP9d7X+m7k9504nQwRHvnHHioKnYTo7z91Grf/dX1cz8I91lt7Woc89MAJTWRmCN+0ZZcucyoL+PgZsyjMCfCzpVu91r7/gRwNt97fX2XhihXgVf2s39/GlSfUICL8jxWCLbbSY25lAf/7zydzoK2Ho208/ox5FfzXB47j5Nll3rFK8rKoKcnlTdsZ0E0SD6amNNLm9p4gd3/cqcL+29tOgtEdYqMgJ/5AckW+h8q0klwKsjN5xSa2q4tyEBE+cdYcfvL8Fl7d2khxbsC79iJCWX7WsLYmgltu/MzaAyycVuwJPDAkLPn+E6fT2t1PbzDshbRcTyM/2xku3RWLwZVarnB2xhnj63Dp7A3y4+c3s2RdHVmZElFO7eJ6FmX5WRw/o9RLbBvjlCb7+x+Ewobnv3Qub+9r4+XNB72EsSsWrgczszzfG8lgdmWB16dGBG678hjvc+87qZZqX6OpptTJGfkr2E7/7nNeiG/9/jYW1TgP2jPmVfCzpVtZvsPxhBbVFLP9YKcX5p1XVci8qkLe3NHE02sHqghf3txATUkuZy+oZLUt8Hjn0VOoKMhmd1M3u5q6PDGsKsrhG5cv5L7Xd5KXncnync20dvV7DbpYYlGWn+1VV7669SAXHj2FnEAmz3/pXErzsyPGC/v+0wPe6ulzy4ccyx9STiax/iOPF5E2nKlU8+wy9n3sJ9Ukws0lzK0q4M4Pn+CVebo/SHVRLj+++sSEjuX+80Wbua4kP4ut37lsyPpAZgbfuuIYnrJlsdPL8tjd1B33IVdlxcTfe9s/qZEbKoLIEBjArIoCinMDHDnV6UE9OG/yIduHxM+cqgL2bXHc++GEzPUs3LBEg2+4Dne4ETdkVpSAWPgREeZXF3pjKLkPkC9ceARt3UHueWX7EG9hQXVRRKJ5pLihq/6QYfHsyH/ameX5nrCv/I+LKCvIpqWrD38oe/nXL/Ji89saOth5sIvsQEZEb3HwhaFS7Fl89FdvsMpePzfMOBj3nMsKsjn/yOqIKqj9rT0R1UD17b0EMjMot79tU2cfL29uYNVu56HrJp7nVhUCzgP62OklXhWZ21Ivzc/m5/988hBbakpz2dfS7eXYqotyCIWNJzzr9rd51UoLqouoLMxhuQ2bHTO9hL+u3u957i5HTCni6bV1Xoh07b42Ll44hYXTSqxNRZQXZFNbns+W+nYOtPV4XjzAtWfO4doz57BiZzMf+PmrLN1U75XKtvX0RzRw/JTmO/dHQ0cvzV39nsjNtef2ty+cTWFOgLO+94L3mZxABrMqCrz/J5dRD0MZYzKNMcXGmCJjTMAuu++jn/Ek5JQ55VxwVDW/vuYUYCBcVHEIrp57U7nxxpHgjmQ7y/b9iCcWbuvqvSfURN3ub425cX+XrMwMnvvSeXzizDkJ2+eGXbIDGRHxeD/VRTlkCF5IwN8Sd1vT7rUpPIQhqudXF3lDafjF0M111LVFdl76zXWncOvlC0f8PS7TSwdE9ix7Ti7ZgQyml+VRU5Lr5ThK87O9ZXBEoCQvi+NrS9nR6AxB0RdlPpGcQAZZmZLSaqjdTV2s2t3C1ac6DYHcKKFScIozppU4IT73nF3BPdDaE+FZuGGnsgLnt/3pC1v42K+XeXkptxPl3KqCiOMvml7MwmnF3PH+2DMj1JTksa+lm/aeIIU5AZb9+4W8cvMF3Hr5Qj5+xiy2NXSwYX8buVkZVBflML001/tu92E8uCHkhmr9Cepjp5d4+7thn5nl+azY2YwxeKXrfk6YUcqM8jx+8eI2rwostmeRRWdfyMt/+UPG4AinP68GTlVaZoYMafCMRRhKwQmx3HPtKd5716OoOARX7xybKHzn0fFDVtHsACeRu3xnE/OnDL1B/ZQVZLP6GxdjjFNSOLj/hZsDmVqcy0VRQmhVIwzPuDfslOKcYacHDWRmcMM58zhtbjkXLZwaEYv15ywyhGF7TMdiwZSBxLxfzE+e5YTM/H1JgCGJxpHi91ROmzM0HHD5cTURgjgcN164gIsWTuHGB1YyK0quQ0QojDIpUzJ5batTDX/dmXM4/8jqIQ8mP9//4PFUFGZTkpfF0184h8LcAGfe8Tyf/cM/uNDe26fNKeefT58FDHhGg3v7g9NgcEXXzZUV52bx5I1nx7W5pjSP+vZeGjt7vRLf3KxMrjtzDn97+wC/e20nz6yrY1Z5ARkZwrSSPN7a00pWprCopoRAhkRUpcHAPZLtE8sPnFzLtJJcvnLJkbz72Gl2vzyvYeIvbPCf15cvPpIbH1jFhXe+yH+8eyHtPf1DQrEubmPJDZMtqB6aLwJ47ZYLyMvK5IRvLfEqHn93/ak8sXo/tz/hjFYwFmEoJQpzKgvIypSIvg2JMrMin+3fveyQ5lp2k361ZXm88tULhvQTiPWZRz7zDhYOuqELcgI88pl3cNTUoqTM/ex6FvFyKcP1A3H/WZo6+yjKDRySTW44orIwJyKEkpkhPP+lcw/JW4lHru3Z7S/xdfm3S6OfazQW1hSz5IvnDru9MDeQUs/itW2NVBZms6C6kCPiNET8XtSRU4swxjCvqoCtDZ08u76O0vwsHvz0Gd4+IsKPrnLyYfVtvRFDsFQWZnu//ftOnD4im2tKczEGNtd1eJ63i9sQaWjv5YQZpXZ/R5SmluRSXpDNkzeePaRVfkxNMVefOpMPLa7lfT97lY+cNtP73GfPn+/t50YJ8rMzmVUeXVgvP66GrfUd/GHZbn76whbHs8gZPgwFsGx7EyV5WcM21txQ7tIvn+d5KdNK8jyhhaF9iJKFisUIqSnNY/WtlyRULRONQ30wTyvN5coTajjniKoRezVuyzrR9YeCm9A91IRxTiDTzl4XGnG+wsX1LPwhKJe5VSMX90R445YLkcNzUBKiMCcrpTmLbQc7OXpa8SHdnyLCs188l0/89k1e2NgQNUTrxu3dcZh2NHby+zd2UV2Uy6KaEp7+wjkjboC5D/ENB9q80QJcasvyOXtBJS9vPuh50W6rvsY+cKOJYiAzg+/a8Nfb37wkYmwzPwMVUEXDdsbNyBC+ePGRFOQE+O5TThFprAQ3wLIdTSyeVRb3dxhcQOE20opzAxFeUTIZhdt88nGoQnE4ZGVm8MOrTozb6hsrZpbnk5khQ8ZWGgluAcChegC1ZfnkBDKYEse7SSYl+VkRpZ6pojAnk44Ujg0VCofJPoywnIjTax2ie1kuWbZfg/ugd1vQRx6Ch+seI2yImie7/iwn5zbNFQm7f03p0CqvaBTmDO/huuW+C2uGhqAG8/6Tar1rO22Y7/ZXwB0RJQcSD7eBdCjh8URRz0JJCtmBDH5y9YlDwl0j4bjaUjbVdSRUNhuNzAzho6fN8sp8JxOFOYGYQ4IfLsGQSSi/Eotja51wTyLThroPx8MpXZ5V7jQOeoPhqFVG5x1ZzSOfOYNFNY6IeSMLDJM3GAk1pXlcvHAK7z42egGJn6qiHJ74/Fl094c4pqYk6j5+sTh19tD8VzzK87MJZMghFd4kioqFkjQus8m/Q+X42hIeXrHnsKbU/M/DqG4azxTmZkWMIJBsgmFDIPPwxMIdSTfWYHoupXnOQ22khRR+ApkZHD2tmFW7W7wE92BO9oWnZlUUkB3ISIp3npkhXh+hRBhc3TQYf57B7bcxEjIyhKqinJRVQkEKw1Aico+I1Nsxpdx15SKyREQ2279ldr2IyI9FZIuIrBaRk3yfucbuv1lErkmVvcrYc5xtmbo9iJUBCnMCKc1ZhMKGzIzDexxMKc7lqlNmRFQPDkcyPAsYCAMlErosL8jmpa+cz+XHxfcGRpt8X2j7UEO5//mehXzaNxJBskllzuK3wOABB28GnjPGLACes+8B3gUssK8bgJ+DIy7ArcBpwKnAra7AKJMPd9TWrMNs4U5GinIDKc1ZBMNhb+Tgw+GODxznDb8fCzckFK1UeCS4pa+JTH0MTiXUcAnpscTNjQw3xUAivOvYaUktWhlMysJQxpiXRGT2oNVXAOfZ5XuBpcBX7frfGacnzOsiUioi0+y+S4wxsml8QgAAD9FJREFUTQAisgRHgO5Pld3K2JETyORHV50QUQaoOBTmBOjpD9MfCh92/5BohEImKWKRKHOrCnnmpnOG7U+QKG6HuMBhekXjgU23v+uw80apZLRzFlOMMe4sIwcAtzfYdGC3b789dt1w64cgIjfgeCXMnDkz2i7KBMAtsVQicTu2dfYGvZr8ZNKfhJzFSElG7uCs+ZX89z8dzyWLRt7RdbyRqpLXZDFm1lkvImkDEhpj7jbGLDbGLK6qiu8GK8pEwo3Jpypv4eQsxm+rdjhEhA+eXDvsmEtK8hhtsaiz4SXs33q7fi/gH52u1q4bbr2ipBWpni0vGApPilCOkjpG++54HHArmq4BHvOt/7itijodaLXhqqeBi0WkzCa2L7brFCWt8IehUkEoPLo5C2XikbKchYjcj5OgrhSRPThVTXcAD4nI9cBO4EN29yeBy4AtQBdwHYAxpklEbgPetPt9y012K0o64YWhUuVZhA2ZWoWmxCCV1VBXD7PpnVH2NcBnhznOPcA9STRNUSYcRSmeLS+onoUSBw1SKsoEwPUsUpGzMMYkpVOeMrnRu0NRJgCpnIfbnYRIPQslFioWijIBKMhOXc7CnZJztPtZKBMLFQtFmQBkZKRutjz1LJREULFQlAlCQYrmtAiGHLHQnIUSC707FGWCUJgToLM3lPTjBsPO7HXqWSixULFQlAlCYW5WSnIWbhhqIg73oYweKhaKMkEoygnQ0ZOCMJQVCx0aXomFioWiTBAKcwIp6Wcx4Fno40AZHr07FGWCUJibmmqo/pDmLJT4qFgoygShMCegOQtlzFCxUJQJgjO1ahBnKLXkEdR+FkoCqFgoygShICeAMdDVl9zyWa9TXgqma1UmD3p3KMoEIVVzWqhnoSSCioWiTBCKUjSnRdAmuDVnocRCxUJRJgipGnlWPQslEVQsFGWCkKp5uDVnoSSC3h2KMkHwplZNkWehYSglFioWijJBKMrJAlLhWWinPCU+KhaKMkEoyMkESPr4UP0h9SyU+KhYKMoEwQ1DdSa5n4VbiltgcyKKEg0VC0WZIOQEMsnOzEh6zqKxow+AisLspB5XmVyoWCjKBKIwN5D02fIOdvaSnZlBkXoWSgxULBRlApGKebgbO/qoKMxGRHMWyvCoWCjKBCIVc1o0dfZpCEqJi4qFokwgCnMDKchZ9FJekJPUYyqTDxULRZlAFKXAszjY0UdlgXoWSmxULBRlAlGQArFo7OzVMJQSFxULRZlAFOYGkjpEeVdfkJ7+MBWFGoZSYqNioSgTiKKc5OYs3D4W5RqGUuKgYqEoE4jCnAC9wTB9wXBSjnewoxeASg1DKXFQsVCUCYQ35EeSQlFe722thlLiMGHEQkQuFZGNIrJFRG4ea3sUZSxI9pwWTZ061IeSGBNCLEQkE7gLeBewELhaRBaOrVWKMvoUJXFOC2MM+1t7APUslPhMlMFgTgW2GGO2AYjIA8AVwLoxtUpRRplCO6fFtb9ZRnbg0Nt6/aEwTZ199IcMRbkB8rIzk2WiMkmZKGIxHdjte78HOM2/g4jcANwAMHPmzNGzTFFGkRNnlvKx02fR2Xd4nkUgQ6gozKGyMIcTZpQkyTplMjNRxCIuxpi7gbsBFi9ebMbYHEVJCQU5AW678pixNkNJQyZEzgLYC8zwva+16xRFUZRRYKKIxZvAAhGZIyLZwFXA42Nsk6IoStowIcJQxpigiHwOeBrIBO4xxqwdY7MURVHShgkhFgDGmCeBJ8faDkVRlHRkooShFEVRlDFExUJRFEWJi4qFoiiKEhcVC0VRFCUuYszk678mIg3AzkP4aCVwMMnmjBYT2XaY2PZPZNtB7R9Lxpvts4wxVdE2TEqxOFREZLkxZvFY23EoTGTbYWLbP5FtB7V/LJlItmsYSlEURYmLioWiKIoSFxWLSO4eawMOg4lsO0xs+yey7aD2jyUTxnbNWSiKoihxUc9CURRFiYuKhaIoihIXFQtARC4VkY0iskVEbh5rexJBRHaIyBoRWSUiy+26chFZIiKb7d+ysbYTQETuEZF6EXnbty6qreLwY/tbrBaRk8bOcs/WaPZ/Q0T22uu/SkQu8227xdq/UUQuGRurPVtmiMgLIrJORNaKyI12/YS4/jHsnyjXP1dElonIW9b+b9r1c0TkDWvng3bqBUQkx77fYrfPHkv7IzDGpPULZ8jzrcBcIBt4C1g41nYlYPcOoHLQuv8CbrbLNwPfG2s7rS3nACcBb8ezFbgMeAoQ4HTgjXFq/zeAL0fZd6G9h3KAOfbeyhxD26cBJ9nlImCTtXFCXP8Y9k+U6y9AoV3OAt6w1/Uh4Cq7/hfAZ+zyvwK/sMtXAQ+O5fX3v9SzgFOBLcaYbcaYPuAB4IoxtulQuQK41y7fC1w5hrZ4GGNeApoGrR7O1iuA3xmH14FSEZk2OpZGZxj7h+MK4AFjTK8xZjuwBeceGxOMMfuNMf+wy+3Aepw57SfE9Y9h/3CMt+tvjDEd9m2WfRngAuBhu37w9Xd/l4eBd4qIjJK5MVGxcG683b73e4h9M44XDPCMiKwQkRvsuinGmP12+QAwZWxMS4jhbJ1Iv8fnbKjmHl/Ib9zab0MaJ+K0bifc9R9kP0yQ6y8imSKyCqgHluB4Oy3GmKDdxW+jZ7/d3gpUjK7F0VGxmLicZYw5CXgX8FkROce/0Th+7ISoi55Itvr4OTAPOAHYD/xgbM2JjYgUAo8AXzDGtPm3TYTrH8X+CXP9jTEhY8wJQC2Ol3PUGJt0SKhYwF5ghu99rV03rjHG7LV/64E/4dyEdW7IwP6tHzsL4zKcrRPi9zDG1NmHQBj4JQOhjnFnv4hk4Txof2+MedSunjDXP5r9E+n6uxhjWoAXgDNwwnvuTKV+Gz377fYSoHGUTY2KigW8CSyw1QnZOEmlx8fYppiISIGIFLnLwMXA2zh2X2N3uwZ4bGwsTIjhbH0c+LityjkdaPWFS8YNg+L478O5/uDYf5WtapkDLOD/t3euMXZVVRz//VsRpynNpGVMGnzgTEhjXzZpI1QeaRATEGoGHGxMCZlEUBKkhlg0poo1KfGB8UNRogZJG561sTTpKFSkSCkt2Crz6MMBgoEQFAvxgyPYNO3iw1rXOb3ce8+lMnNnYP2Skzl37X32XmefO2efvfe5/wV/Gm//KsR896+AQ2b2k0LSpGj/ev5PovbvkNQe+23AZ/B1l0eBnshW3f6V69ID7IiRX+tp9Qr7RNjwN0CewecS17Tanyb87cTf+BgADlR8xuc2HwGeBf4AzGy1r+HXffhUwVF8fvZL9XzF3x75WVyLIWDJBPX/rvBvEP8Hn13Ivyb8HwYuabHv5+FTTINAf2yfnSzt38D/ydL+C4Gnw8/9wM1h78Q7seeAzcCpYf9AfH4u0jtb6X9xS7mPJEmSpJSchkqSJElKyc4iSZIkKSU7iyRJkqSU7CySJEmSUrKzSJIkSUrJziJJkiQpJTuL5KSQNKsgD/2Pglz0iKTbx8mHJZLWj2H50yTdI5eC3y9pV8hOIOlYnO9+SdsktYekdL+kFyUdLrTPmVXlXibp6ZCtPijpK2HvljT3JPxcJulTTeTrDb/ueLt1jBUhNb66QfqKkOvuG0+/krfyvvIsSfJWzOw1XJcHSWuBETP78Tj7sA/YN4ZVfA14xcwWAEiag/8wD+ANc70fJG0Erjezs+NzL/5jtq9WFxjSFb8EPmlmL0k6FTgzkruBPuBgsw6GJMQyYATY3cQhm2r5NVExs02SXgHqdijJ+JAji+QdJZ5y+2J/raSNkh6X9IKkKyT9KJ7UH4obJ5IWS3osFHS315LElnRlPMUPSNpZp647Jf1R0vOSVhWOvVquTjog6a6wdUj6jaS9sZ1b43RmU9AVMrNhMztSI98emlc2PQ1/SHstyjxiZsMxMvgccGuMRrokXRu+DYSv08L3DZJ+LukpPC7CdcCNcdz5TfqBpHnywDz90T5nhf2qgv0XkqaG/WJJfwl/HgnbTElb4/gnJS0Me6PrsUbSM5J2AXMK9lUx0hqUdH+z55GME63+CXluk3+jEIgGf8rtK9h34Rr+nwBeJ+QXcPHD7kjbDXSEfQVwZ406hoAzYr+9Tl278aA3p+M341OAebiUy+mRryJrcS+u3AvwEVx7qLrORbjA3h5gHXBWIW0k/k7F5RkuLqT1Aj9t0F53RLn3ASuBKWHfAPQU8s0q7K8Dbijk6yOC+lAnEFCNek/wC7gNWBn77wfagI8D24BTwn47cDXQgUtnf6yqHW8Dvhv7FwL9JddjcVzLacAMXNai8t15mVHZi/aCn/+7zrm1bstpqGSsedDMjkoawm+sD4V9CJ9+mQPMBx6Wx3iZiuswVfMEsEHSr4EtNdIBfmv+5H9E0j/xGA0XApvN7FUAM6sEMboImKvRuDIzJE230UA1mFm/pE5cqPEiYK+kpWZ2CGiTxyg4AxeGe7jZBjGzayQtiDJX4+JyvTWyzpe0DmgHpgPbC2mbzexYs3XWYQ+wRtKHgC1m9qykT+M39L3RNm14x3YOsNM8oFCxHc8DPh+2HfK1rBmRVut6nA88YGavA0gqinYOAvdI2gps/T/PLXmHyc4iGWuOAJjZcUlHLR4VgeP490/AATNb2qgQM7tO0tnApcCfJS2uV1dwjMbf7ynAOWb235J6R/DOaYuk47iI3SFizSKmhrYD1wNNL7ab2RAwFNNif6N2Z7EB6DazgVgHWVZI+0+zdTXw4d6YyroU+J18oV3ARjP7VjGvpOUnUcXbuR6EHxcAy/FObIGNBghKWkyuWSStZhjokLQUfAFY0rzqTJK6zOwpM7sZOMyJMQsasQO4UtKsKGdm2H8P3FAof1GNOs9VRGCTy9fPBV4o5okn5FXA1zUan6AukqZLWlYwLSqU+W98TaPCacDfY21nZYNiTzhO0uWSvt+EL53A82a2HpfIXogr0fZI+mDkmSnpo8CTwAVy2e9iOz5e8S3O61WrCq5UxU6gW1KbXGZ/eRw7BfiwmT0KfBOP4zC97ByS8SM7i6SlmMc97wF+KGkAl6Cu9RrorYpXWPG58IEmyz8A3AI8FuVXYiKsApbEYupBfJG4mq44bgiXmd6HB+GprqMiQf3FJlwS8A1JwzGN9T1GRxX3AzfJX6vtAr6DhxB9AvhrgzK3AZcXFri7gEY37ApfAPaHH/Px2NsHgW/jIXsH8em12WZ2GPgyPsIaADZFGWuBxZH3B4zGYqiJeTztTfj1exCPJwM+/Xh3oa3XmwcLSiYIKVGeJO8yJN0N3Bg3+KK9lzqv9E5kYsSy2swua7Uv72VyZJEk7zLM7KrqjiJ4A7hEE+hHeWVIWoG/kfWvVvvyXidHFkmSJEkpObJIkiRJSsnOIkmSJCklO4skSZKklOwskiRJklLeBOtyQkN+UTrSAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(df_srt.Seconds, df_srt.mbpsBandwidth)\n",
    "plt.xlabel(\"Time since SRT Start, [seconds]\")\n",
    "plt.ylabel(\"Bandwidth, [Mbps]\")\n",
    "plt.title(\"SRT Line Bandwidth over Time\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Printing the Correlation between the Columns \n",
    "\n",
    "This is just an optional overview about the correlation between the columns and how for example the msRTT affects the rate of lost, dropped and re-transmitted data packets."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Seconds</th>\n",
       "      <th>SocketID</th>\n",
       "      <th>pktFlowWindow</th>\n",
       "      <th>pktCongestionWindow</th>\n",
       "      <th>pktFlightSize</th>\n",
       "      <th>msRTT</th>\n",
       "      <th>mbpsBandwidth</th>\n",
       "      <th>usPktSndPeriod</th>\n",
       "      <th>pktRecv</th>\n",
       "      <th>pktRcvLoss</th>\n",
       "      <th>...</th>\n",
       "      <th>pktRcvRetrans</th>\n",
       "      <th>pktRcvBelated</th>\n",
       "      <th>byteRecv</th>\n",
       "      <th>byteRcvLoss</th>\n",
       "      <th>byteRcvDrop</th>\n",
       "      <th>mbpsRecvRate</th>\n",
       "      <th>RCVLATENCYms</th>\n",
       "      <th>pktRcvFilterExtra</th>\n",
       "      <th>pktRcvFilterSupply</th>\n",
       "      <th>pktRcvFilterLoss</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Seconds</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.054802</td>\n",
       "      <td>-0.179923</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.998864</td>\n",
       "      <td>0.881820</td>\n",
       "      <td>...</td>\n",
       "      <td>0.883680</td>\n",
       "      <td>0.887389</td>\n",
       "      <td>0.998864</td>\n",
       "      <td>0.881820</td>\n",
       "      <td>0.881483</td>\n",
       "      <td>-0.799388</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SocketID</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pktFlowWindow</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pktCongestionWindow</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pktFlightSize</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>msRTT</th>\n",
       "      <td>0.054802</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.492884</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.049746</td>\n",
       "      <td>0.023378</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.089174</td>\n",
       "      <td>-0.087766</td>\n",
       "      <td>0.049746</td>\n",
       "      <td>0.023378</td>\n",
       "      <td>0.020228</td>\n",
       "      <td>-0.156909</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mbpsBandwidth</th>\n",
       "      <td>-0.179923</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.492884</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.169832</td>\n",
       "      <td>-0.217445</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.128734</td>\n",
       "      <td>-0.129614</td>\n",
       "      <td>-0.169832</td>\n",
       "      <td>-0.217445</td>\n",
       "      <td>-0.215854</td>\n",
       "      <td>0.288888</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>usPktSndPeriod</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pktRecv</th>\n",
       "      <td>0.998864</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.049746</td>\n",
       "      <td>-0.169832</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.858654</td>\n",
       "      <td>...</td>\n",
       "      <td>0.864162</td>\n",
       "      <td>0.868441</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.858654</td>\n",
       "      <td>0.858306</td>\n",
       "      <td>-0.770894</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pktRcvLoss</th>\n",
       "      <td>0.881820</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.023378</td>\n",
       "      <td>-0.217445</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.858654</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.974558</td>\n",
       "      <td>0.972141</td>\n",
       "      <td>0.858654</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.999982</td>\n",
       "      <td>-0.969690</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pktRcvDrop</th>\n",
       "      <td>0.881483</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.020228</td>\n",
       "      <td>-0.215854</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.858306</td>\n",
       "      <td>0.999982</td>\n",
       "      <td>...</td>\n",
       "      <td>0.974651</td>\n",
       "      <td>0.972177</td>\n",
       "      <td>0.858306</td>\n",
       "      <td>0.999982</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.969468</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pktRcvRetrans</th>\n",
       "      <td>0.883680</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.089174</td>\n",
       "      <td>-0.128734</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.864162</td>\n",
       "      <td>0.974558</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.999698</td>\n",
       "      <td>0.864162</td>\n",
       "      <td>0.974558</td>\n",
       "      <td>0.974651</td>\n",
       "      <td>-0.915384</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pktRcvBelated</th>\n",
       "      <td>0.887389</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.087766</td>\n",
       "      <td>-0.129614</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.868441</td>\n",
       "      <td>0.972141</td>\n",
       "      <td>...</td>\n",
       "      <td>0.999698</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.868441</td>\n",
       "      <td>0.972141</td>\n",
       "      <td>0.972177</td>\n",
       "      <td>-0.911331</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>byteRecv</th>\n",
       "      <td>0.998864</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.049746</td>\n",
       "      <td>-0.169832</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.858654</td>\n",
       "      <td>...</td>\n",
       "      <td>0.864162</td>\n",
       "      <td>0.868441</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.858654</td>\n",
       "      <td>0.858306</td>\n",
       "      <td>-0.770894</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>byteRcvLoss</th>\n",
       "      <td>0.881820</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.023378</td>\n",
       "      <td>-0.217445</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.858654</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>0.974558</td>\n",
       "      <td>0.972141</td>\n",
       "      <td>0.858654</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.999982</td>\n",
       "      <td>-0.969690</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>byteRcvDrop</th>\n",
       "      <td>0.881483</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.020228</td>\n",
       "      <td>-0.215854</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.858306</td>\n",
       "      <td>0.999982</td>\n",
       "      <td>...</td>\n",
       "      <td>0.974651</td>\n",
       "      <td>0.972177</td>\n",
       "      <td>0.858306</td>\n",
       "      <td>0.999982</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-0.969468</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mbpsRecvRate</th>\n",
       "      <td>-0.799388</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.156909</td>\n",
       "      <td>0.288888</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.770894</td>\n",
       "      <td>-0.969690</td>\n",
       "      <td>...</td>\n",
       "      <td>-0.915384</td>\n",
       "      <td>-0.911331</td>\n",
       "      <td>-0.770894</td>\n",
       "      <td>-0.969690</td>\n",
       "      <td>-0.969468</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RCVLATENCYms</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pktRcvFilterExtra</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pktRcvFilterSupply</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pktRcvFilterLoss</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>21 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                      Seconds  SocketID  pktFlowWindow  pktCongestionWindow  \\\n",
       "Seconds              1.000000       NaN            NaN                  NaN   \n",
       "SocketID                  NaN       NaN            NaN                  NaN   \n",
       "pktFlowWindow             NaN       NaN            NaN                  NaN   \n",
       "pktCongestionWindow       NaN       NaN            NaN                  NaN   \n",
       "pktFlightSize             NaN       NaN            NaN                  NaN   \n",
       "msRTT                0.054802       NaN            NaN                  NaN   \n",
       "mbpsBandwidth       -0.179923       NaN            NaN                  NaN   \n",
       "usPktSndPeriod            NaN       NaN            NaN                  NaN   \n",
       "pktRecv              0.998864       NaN            NaN                  NaN   \n",
       "pktRcvLoss           0.881820       NaN            NaN                  NaN   \n",
       "pktRcvDrop           0.881483       NaN            NaN                  NaN   \n",
       "pktRcvRetrans        0.883680       NaN            NaN                  NaN   \n",
       "pktRcvBelated        0.887389       NaN            NaN                  NaN   \n",
       "byteRecv             0.998864       NaN            NaN                  NaN   \n",
       "byteRcvLoss          0.881820       NaN            NaN                  NaN   \n",
       "byteRcvDrop          0.881483       NaN            NaN                  NaN   \n",
       "mbpsRecvRate        -0.799388       NaN            NaN                  NaN   \n",
       "RCVLATENCYms              NaN       NaN            NaN                  NaN   \n",
       "pktRcvFilterExtra         NaN       NaN            NaN                  NaN   \n",
       "pktRcvFilterSupply        NaN       NaN            NaN                  NaN   \n",
       "pktRcvFilterLoss          NaN       NaN            NaN                  NaN   \n",
       "\n",
       "                     pktFlightSize     msRTT  mbpsBandwidth  usPktSndPeriod  \\\n",
       "Seconds                        NaN  0.054802      -0.179923             NaN   \n",
       "SocketID                       NaN       NaN            NaN             NaN   \n",
       "pktFlowWindow                  NaN       NaN            NaN             NaN   \n",
       "pktCongestionWindow            NaN       NaN            NaN             NaN   \n",
       "pktFlightSize                  NaN       NaN            NaN             NaN   \n",
       "msRTT                          NaN  1.000000      -0.492884             NaN   \n",
       "mbpsBandwidth                  NaN -0.492884       1.000000             NaN   \n",
       "usPktSndPeriod                 NaN       NaN            NaN             NaN   \n",
       "pktRecv                        NaN  0.049746      -0.169832             NaN   \n",
       "pktRcvLoss                     NaN  0.023378      -0.217445             NaN   \n",
       "pktRcvDrop                     NaN  0.020228      -0.215854             NaN   \n",
       "pktRcvRetrans                  NaN -0.089174      -0.128734             NaN   \n",
       "pktRcvBelated                  NaN -0.087766      -0.129614             NaN   \n",
       "byteRecv                       NaN  0.049746      -0.169832             NaN   \n",
       "byteRcvLoss                    NaN  0.023378      -0.217445             NaN   \n",
       "byteRcvDrop                    NaN  0.020228      -0.215854             NaN   \n",
       "mbpsRecvRate                   NaN -0.156909       0.288888             NaN   \n",
       "RCVLATENCYms                   NaN       NaN            NaN             NaN   \n",
       "pktRcvFilterExtra              NaN       NaN            NaN             NaN   \n",
       "pktRcvFilterSupply             NaN       NaN            NaN             NaN   \n",
       "pktRcvFilterLoss               NaN       NaN            NaN             NaN   \n",
       "\n",
       "                      pktRecv  pktRcvLoss  ...  pktRcvRetrans  pktRcvBelated  \\\n",
       "Seconds              0.998864    0.881820  ...       0.883680       0.887389   \n",
       "SocketID                  NaN         NaN  ...            NaN            NaN   \n",
       "pktFlowWindow             NaN         NaN  ...            NaN            NaN   \n",
       "pktCongestionWindow       NaN         NaN  ...            NaN            NaN   \n",
       "pktFlightSize             NaN         NaN  ...            NaN            NaN   \n",
       "msRTT                0.049746    0.023378  ...      -0.089174      -0.087766   \n",
       "mbpsBandwidth       -0.169832   -0.217445  ...      -0.128734      -0.129614   \n",
       "usPktSndPeriod            NaN         NaN  ...            NaN            NaN   \n",
       "pktRecv              1.000000    0.858654  ...       0.864162       0.868441   \n",
       "pktRcvLoss           0.858654    1.000000  ...       0.974558       0.972141   \n",
       "pktRcvDrop           0.858306    0.999982  ...       0.974651       0.972177   \n",
       "pktRcvRetrans        0.864162    0.974558  ...       1.000000       0.999698   \n",
       "pktRcvBelated        0.868441    0.972141  ...       0.999698       1.000000   \n",
       "byteRecv             1.000000    0.858654  ...       0.864162       0.868441   \n",
       "byteRcvLoss          0.858654    1.000000  ...       0.974558       0.972141   \n",
       "byteRcvDrop          0.858306    0.999982  ...       0.974651       0.972177   \n",
       "mbpsRecvRate        -0.770894   -0.969690  ...      -0.915384      -0.911331   \n",
       "RCVLATENCYms              NaN         NaN  ...            NaN            NaN   \n",
       "pktRcvFilterExtra         NaN         NaN  ...            NaN            NaN   \n",
       "pktRcvFilterSupply        NaN         NaN  ...            NaN            NaN   \n",
       "pktRcvFilterLoss          NaN         NaN  ...            NaN            NaN   \n",
       "\n",
       "                     byteRecv  byteRcvLoss  byteRcvDrop  mbpsRecvRate  \\\n",
       "Seconds              0.998864     0.881820     0.881483     -0.799388   \n",
       "SocketID                  NaN          NaN          NaN           NaN   \n",
       "pktFlowWindow             NaN          NaN          NaN           NaN   \n",
       "pktCongestionWindow       NaN          NaN          NaN           NaN   \n",
       "pktFlightSize             NaN          NaN          NaN           NaN   \n",
       "msRTT                0.049746     0.023378     0.020228     -0.156909   \n",
       "mbpsBandwidth       -0.169832    -0.217445    -0.215854      0.288888   \n",
       "usPktSndPeriod            NaN          NaN          NaN           NaN   \n",
       "pktRecv              1.000000     0.858654     0.858306     -0.770894   \n",
       "pktRcvLoss           0.858654     1.000000     0.999982     -0.969690   \n",
       "pktRcvDrop           0.858306     0.999982     1.000000     -0.969468   \n",
       "pktRcvRetrans        0.864162     0.974558     0.974651     -0.915384   \n",
       "pktRcvBelated        0.868441     0.972141     0.972177     -0.911331   \n",
       "byteRecv             1.000000     0.858654     0.858306     -0.770894   \n",
       "byteRcvLoss          0.858654     1.000000     0.999982     -0.969690   \n",
       "byteRcvDrop          0.858306     0.999982     1.000000     -0.969468   \n",
       "mbpsRecvRate        -0.770894    -0.969690    -0.969468      1.000000   \n",
       "RCVLATENCYms              NaN          NaN          NaN           NaN   \n",
       "pktRcvFilterExtra         NaN          NaN          NaN           NaN   \n",
       "pktRcvFilterSupply        NaN          NaN          NaN           NaN   \n",
       "pktRcvFilterLoss          NaN          NaN          NaN           NaN   \n",
       "\n",
       "                     RCVLATENCYms  pktRcvFilterExtra  pktRcvFilterSupply  \\\n",
       "Seconds                       NaN                NaN                 NaN   \n",
       "SocketID                      NaN                NaN                 NaN   \n",
       "pktFlowWindow                 NaN                NaN                 NaN   \n",
       "pktCongestionWindow           NaN                NaN                 NaN   \n",
       "pktFlightSize                 NaN                NaN                 NaN   \n",
       "msRTT                         NaN                NaN                 NaN   \n",
       "mbpsBandwidth                 NaN                NaN                 NaN   \n",
       "usPktSndPeriod                NaN                NaN                 NaN   \n",
       "pktRecv                       NaN                NaN                 NaN   \n",
       "pktRcvLoss                    NaN                NaN                 NaN   \n",
       "pktRcvDrop                    NaN                NaN                 NaN   \n",
       "pktRcvRetrans                 NaN                NaN                 NaN   \n",
       "pktRcvBelated                 NaN                NaN                 NaN   \n",
       "byteRecv                      NaN                NaN                 NaN   \n",
       "byteRcvLoss                   NaN                NaN                 NaN   \n",
       "byteRcvDrop                   NaN                NaN                 NaN   \n",
       "mbpsRecvRate                  NaN                NaN                 NaN   \n",
       "RCVLATENCYms                  NaN                NaN                 NaN   \n",
       "pktRcvFilterExtra             NaN                NaN                 NaN   \n",
       "pktRcvFilterSupply            NaN                NaN                 NaN   \n",
       "pktRcvFilterLoss              NaN                NaN                 NaN   \n",
       "\n",
       "                     pktRcvFilterLoss  \n",
       "Seconds                           NaN  \n",
       "SocketID                          NaN  \n",
       "pktFlowWindow                     NaN  \n",
       "pktCongestionWindow               NaN  \n",
       "pktFlightSize                     NaN  \n",
       "msRTT                             NaN  \n",
       "mbpsBandwidth                     NaN  \n",
       "usPktSndPeriod                    NaN  \n",
       "pktRecv                           NaN  \n",
       "pktRcvLoss                        NaN  \n",
       "pktRcvDrop                        NaN  \n",
       "pktRcvRetrans                     NaN  \n",
       "pktRcvBelated                     NaN  \n",
       "byteRecv                          NaN  \n",
       "byteRcvLoss                       NaN  \n",
       "byteRcvDrop                       NaN  \n",
       "mbpsRecvRate                      NaN  \n",
       "RCVLATENCYms                      NaN  \n",
       "pktRcvFilterExtra                 NaN  \n",
       "pktRcvFilterSupply                NaN  \n",
       "pktRcvFilterLoss                  NaN  \n",
       "\n",
       "[21 rows x 21 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_srt.corr()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# TODO\n",
    "\n",
    "Things I wanted to do but didn't have the time to finish on time:\n",
    "\n",
    "1. Export of the dataframes with lost, dropped, retransmitted and mbpsbandwidth dataframes into Excel file\n",
    "2. Detailed explanation of all the parameters inside the dataframes\n",
    "3. Fixing the documentation including special parameters, enabling encryption, etc.\n",
    "4. Instruction how to build Docker Containers\n",
    "5. Instruction how to deploy on physical NGINX and also on dockerized NGINX container\n",
    "6. Creating a proper README.md description of the files and all the steps\n",
    "7. Creating a Medium Article about the SRT Logs Analyzer"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# References\n",
    "1. [Haivision Official Webpage](https://www.haivision.com/)\n",
    "2. [SRT Github Page](https://github.com/Haivision/srt)\n",
    "3. [SRT Statistics](https://github.com/Haivision/srt/blob/master/docs/statistics.md)\n",
    "4. [SRT Live Streaming](https://github.com/Haivision/srt/blob/master/docs/live-streaming.md)\n",
    "5. [SRT Alliance Deployment Guide](https://www.vmix.com/download/SRT_Alliance_Deployment_Guide.pdf)\n",
    "6. [SRT Unofficial Guide](https://hjortsberg.org/notes/Sending-UDP-over-Internet-using-SRT.html)\n",
    "7. [SRT Log Analyzer Source Code](https://github.com/stoyanovgeorge/srt_log_analyzer)\n",
    "8. [Streamlit Official Website](https://www.streamlit.io/)"
   ]
  }
 ],
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