Analyse.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# VTX Measurement analysis\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "from mpl_toolkits.axes_grid1.axes_divider import make_axes_locatable\n",
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "\n",
    "%matplotlib inline\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pandas_visual_analysis import VisualAnalysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "csv_files = \"csv/DEMO_VTX_DEMO_MODE_MYYNK_20210612_23-48-54.csv;csv/DEMO_VTX_DEMO_MODE_PUWVB_20210613_07-54-13.csv\"\n",
    "csv_files = \"csv/DEMO_VTX_DEMO_MODE_MYYNK_20210612_23-48-54.csv\"\n",
    "\n",
    "csv_files = csv_files.replace(';',',')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "csv_list = csv_files.split(',')\n",
    "csv_sep = ';'\n",
    "csv_decimal = ','"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['csv/DEMO_VTX_DEMO_MODE_MYYNK_20210612_23-48-54.csv']"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "csv_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\n"
     ]
    }
   ],
   "source": [
    "df_list = []\n",
    "for f in csv_list:\n",
    "    df_list.append(pd.read_csv(f, sep=csv_sep, decimal=csv_decimal, header=0, encoding='utf-8'))\n",
    "\n",
    "print(len(df_list))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.DataFrame()\n",
    "df = pd.concat(df_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2400, 12)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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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>TS</th>\n",
       "      <th>Test</th>\n",
       "      <th>Model</th>\n",
       "      <th>Target Band</th>\n",
       "      <th>Target Freq</th>\n",
       "      <th>Target mW</th>\n",
       "      <th>Target dBm</th>\n",
       "      <th>Info</th>\n",
       "      <th>mW</th>\n",
       "      <th>dBm</th>\n",
       "      <th>dif_mW</th>\n",
       "      <th>dif_dBm</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1623533893000000000</td>\n",
       "      <td>20210612_1623533887</td>\n",
       "      <td>DEMO_MODE_MYYNK</td>\n",
       "      <td>A</td>\n",
       "      <td>5865</td>\n",
       "      <td>25.0</td>\n",
       "      <td>13.98</td>\n",
       "      <td>Teststand, manuelle Einstellungen</td>\n",
       "      <td>23.98</td>\n",
       "      <td>13.80</td>\n",
       "      <td>-1.02</td>\n",
       "      <td>-0.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1623533894000000000</td>\n",
       "      <td>20210612_1623533887</td>\n",
       "      <td>DEMO_MODE_MYYNK</td>\n",
       "      <td>A</td>\n",
       "      <td>5865</td>\n",
       "      <td>25.0</td>\n",
       "      <td>13.98</td>\n",
       "      <td>Teststand, manuelle Einstellungen</td>\n",
       "      <td>24.10</td>\n",
       "      <td>13.82</td>\n",
       "      <td>-0.90</td>\n",
       "      <td>-0.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1623533894000000000</td>\n",
       "      <td>20210612_1623533887</td>\n",
       "      <td>DEMO_MODE_MYYNK</td>\n",
       "      <td>A</td>\n",
       "      <td>5865</td>\n",
       "      <td>25.0</td>\n",
       "      <td>13.98</td>\n",
       "      <td>Teststand, manuelle Einstellungen</td>\n",
       "      <td>28.25</td>\n",
       "      <td>14.51</td>\n",
       "      <td>3.25</td>\n",
       "      <td>0.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1623533894000000000</td>\n",
       "      <td>20210612_1623533887</td>\n",
       "      <td>DEMO_MODE_MYYNK</td>\n",
       "      <td>A</td>\n",
       "      <td>5865</td>\n",
       "      <td>25.0</td>\n",
       "      <td>13.98</td>\n",
       "      <td>Teststand, manuelle Einstellungen</td>\n",
       "      <td>28.99</td>\n",
       "      <td>14.62</td>\n",
       "      <td>3.99</td>\n",
       "      <td>0.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1623533894000000000</td>\n",
       "      <td>20210612_1623533887</td>\n",
       "      <td>DEMO_MODE_MYYNK</td>\n",
       "      <td>A</td>\n",
       "      <td>5865</td>\n",
       "      <td>25.0</td>\n",
       "      <td>13.98</td>\n",
       "      <td>Teststand, manuelle Einstellungen</td>\n",
       "      <td>26.45</td>\n",
       "      <td>14.22</td>\n",
       "      <td>1.45</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    TS                 Test            Model Target Band  \\\n",
       "0  1623533893000000000  20210612_1623533887  DEMO_MODE_MYYNK           A   \n",
       "1  1623533894000000000  20210612_1623533887  DEMO_MODE_MYYNK           A   \n",
       "2  1623533894000000000  20210612_1623533887  DEMO_MODE_MYYNK           A   \n",
       "3  1623533894000000000  20210612_1623533887  DEMO_MODE_MYYNK           A   \n",
       "4  1623533894000000000  20210612_1623533887  DEMO_MODE_MYYNK           A   \n",
       "\n",
       "   Target Freq  Target mW  Target dBm                               Info  \\\n",
       "0         5865       25.0       13.98  Teststand, manuelle Einstellungen   \n",
       "1         5865       25.0       13.98  Teststand, manuelle Einstellungen   \n",
       "2         5865       25.0       13.98  Teststand, manuelle Einstellungen   \n",
       "3         5865       25.0       13.98  Teststand, manuelle Einstellungen   \n",
       "4         5865       25.0       13.98  Teststand, manuelle Einstellungen   \n",
       "\n",
       "      mW    dBm  dif_mW  dif_dBm  \n",
       "0  23.98  13.80   -1.02    -0.18  \n",
       "1  24.10  13.82   -0.90    -0.16  \n",
       "2  28.25  14.51    3.25     0.53  \n",
       "3  28.99  14.62    3.99     0.64  \n",
       "4  26.45  14.22    1.45     0.25  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>TS</th>\n",
       "      <th>Test</th>\n",
       "      <th>Model</th>\n",
       "      <th>Target Band</th>\n",
       "      <th>Target Freq</th>\n",
       "      <th>Target mW</th>\n",
       "      <th>Target dBm</th>\n",
       "      <th>Info</th>\n",
       "      <th>mW</th>\n",
       "      <th>dBm</th>\n",
       "      <th>dif_mW</th>\n",
       "      <th>dif_dBm</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1623533893000000000</td>\n",
       "      <td>20210612_1623533887</td>\n",
       "      <td>DEMO_MODE_MYYNK</td>\n",
       "      <td>A</td>\n",
       "      <td>5865</td>\n",
       "      <td>25.0</td>\n",
       "      <td>13.98</td>\n",
       "      <td>Teststand, manuelle Einstellungen</td>\n",
       "      <td>23.98</td>\n",
       "      <td>13.80</td>\n",
       "      <td>-1.02</td>\n",
       "      <td>-0.18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1623533894000000000</td>\n",
       "      <td>20210612_1623533887</td>\n",
       "      <td>DEMO_MODE_MYYNK</td>\n",
       "      <td>A</td>\n",
       "      <td>5865</td>\n",
       "      <td>25.0</td>\n",
       "      <td>13.98</td>\n",
       "      <td>Teststand, manuelle Einstellungen</td>\n",
       "      <td>24.10</td>\n",
       "      <td>13.82</td>\n",
       "      <td>-0.90</td>\n",
       "      <td>-0.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1623533894000000000</td>\n",
       "      <td>20210612_1623533887</td>\n",
       "      <td>DEMO_MODE_MYYNK</td>\n",
       "      <td>A</td>\n",
       "      <td>5865</td>\n",
       "      <td>25.0</td>\n",
       "      <td>13.98</td>\n",
       "      <td>Teststand, manuelle Einstellungen</td>\n",
       "      <td>28.25</td>\n",
       "      <td>14.51</td>\n",
       "      <td>3.25</td>\n",
       "      <td>0.53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1623533894000000000</td>\n",
       "      <td>20210612_1623533887</td>\n",
       "      <td>DEMO_MODE_MYYNK</td>\n",
       "      <td>A</td>\n",
       "      <td>5865</td>\n",
       "      <td>25.0</td>\n",
       "      <td>13.98</td>\n",
       "      <td>Teststand, manuelle Einstellungen</td>\n",
       "      <td>28.99</td>\n",
       "      <td>14.62</td>\n",
       "      <td>3.99</td>\n",
       "      <td>0.64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1623533894000000000</td>\n",
       "      <td>20210612_1623533887</td>\n",
       "      <td>DEMO_MODE_MYYNK</td>\n",
       "      <td>A</td>\n",
       "      <td>5865</td>\n",
       "      <td>25.0</td>\n",
       "      <td>13.98</td>\n",
       "      <td>Teststand, manuelle Einstellungen</td>\n",
       "      <td>26.45</td>\n",
       "      <td>14.22</td>\n",
       "      <td>1.45</td>\n",
       "      <td>0.25</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    TS                 Test            Model Target Band  \\\n",
       "0  1623533893000000000  20210612_1623533887  DEMO_MODE_MYYNK           A   \n",
       "1  1623533894000000000  20210612_1623533887  DEMO_MODE_MYYNK           A   \n",
       "2  1623533894000000000  20210612_1623533887  DEMO_MODE_MYYNK           A   \n",
       "3  1623533894000000000  20210612_1623533887  DEMO_MODE_MYYNK           A   \n",
       "4  1623533894000000000  20210612_1623533887  DEMO_MODE_MYYNK           A   \n",
       "\n",
       "   Target Freq  Target mW  Target dBm                               Info  \\\n",
       "0         5865       25.0       13.98  Teststand, manuelle Einstellungen   \n",
       "1         5865       25.0       13.98  Teststand, manuelle Einstellungen   \n",
       "2         5865       25.0       13.98  Teststand, manuelle Einstellungen   \n",
       "3         5865       25.0       13.98  Teststand, manuelle Einstellungen   \n",
       "4         5865       25.0       13.98  Teststand, manuelle Einstellungen   \n",
       "\n",
       "      mW    dBm  dif_mW  dif_dBm  \n",
       "0  23.98  13.80   -1.02    -0.18  \n",
       "1  24.10  13.82   -0.90    -0.16  \n",
       "2  28.25  14.51    3.25     0.53  \n",
       "3  28.99  14.62    3.99     0.64  \n",
       "4  26.45  14.22    1.45     0.25  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1 = df.loc[(df[\"Target mW\"] == 25.0) & (df[\"Target Freq\"] == 5865)]\n",
    "df1.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "#VisualAnalysis(df)\n",
    "\n",
    "\n",
    "#categorical = [\"Model\", \"Target Band\", \"Target Freq\", \"Target mW\", \"Info\", \"Test\"]\n",
    "#VisualAnalysis(df1, \n",
    "#                categorical_columns=categorical,\n",
    "#                layout=[[\"Scatter\", \"Histogram\"],[\"Scatter\", 'BoxPlot'], [\"Histogram\"], ['BrushSummary']]\n",
    "#                )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Scatter',\n",
       " 'ParallelCoordinates',\n",
       " 'BrushSummary',\n",
       " 'Histogram',\n",
       " 'ParallelCategories',\n",
       " 'BoxPlot']"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "VisualAnalysis.widgets()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# MatPlotLib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Font parameters\n",
    "mpl.rcParams['font.family'] = 'Avenir'\n",
    "mpl.rcParams['font.size'] = 18\n",
    "# Edit axes parameters\n",
    "mpl.rcParams['axes.linewidth'] = 2\n",
    "# Tick properties\n",
    "mpl.rcParams['xtick.major.size'] = 10\n",
    "mpl.rcParams['xtick.major.width'] = 2\n",
    "mpl.rcParams['xtick.direction'] = 'out'\n",
    "mpl.rcParams['ytick.major.size'] = 10\n",
    "mpl.rcParams['ytick.major.width'] = 2\n",
    "mpl.rcParams['ytick.direction'] = 'out'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Heatmap\n",
    "\n",
    "### Achsen\n",
    "* X-Achse = Frequenz im Band\n",
    "* Y-Achse = Band (A,B,E,F.....)\n",
    "* Z-Achse = mW (gemessen)\n",
    "\n",
    "### Farben\n",
    "* je roter je mehr "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create figure and add axis\n",
    "fig = plt.figure(figsize=(10,10))\n",
    "ax = fig.add_subplot(111)\n",
    "# Remove x and y ticks\n",
    "ax.xaxis.set_tick_params(size=0)\n",
    "ax.yaxis.set_tick_params(size=0)\n",
    "ax.set_xticks([])\n",
    "ax.set_yticks([])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}