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diff --git a/prilohy/Jupyter_analysis/DectAnalysis.ipynb b/prilohy/Jupyter_analysis/DectAnalysis.ipynb new file mode 100644 index 0000000..67b7629 --- /dev/null +++ b/prilohy/Jupyter_analysis/DectAnalysis.ipynb @@ -0,0 +1,831 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "e338c658-c076-479a-9cc1-06fa671f3582", + "metadata": {}, + "source": [ + "# " + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "c4687f21-e8c5-4fbe-874d-22803dbf2f2e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "dect_40+33.txt\n", + "dect_40+13.txt\n", + "dect_40+63.txt\n", + "dect_40+03.txt\n", + "dect_40+23.txt\n", + "dect_40+43.txt\n", + "dect_60+46_2.txt\n", + "dect_60+46.txt\n", + "dect_40+53.txt\n", + "dect_60+43.txt\n", + "dect_60+33.txt\n" + ] + }, + { + "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>Att conf</th>\n", + " <th>K_U [dB]</th>\n", + " <th>Beacon RSSI [dBm]</th>\n", + " <th>Beacon PWR [dBm]</th>\n", + " <th>PDU RSSI [dBm]</th>\n", + " <th>PDU PWR [dBm]</th>\n", + " <th>FSPL d[km]</th>\n", + " <th>K_U meas [dB]</th>\n", + " <th>K_U err [dB]</th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " <tr>\n", + " <th>106</th>\n", + " <td>60+46</td>\n", + " <td>106</td>\n", + " <td>-105</td>\n", + " <td>4</td>\n", + " <td>-91</td>\n", + " <td>23</td>\n", + " <td>2.512</td>\n", + " <td>128</td>\n", + " <td>22</td>\n", + " </tr>\n", + " <tr>\n", + " <th>103</th>\n", + " <td>60+43</td>\n", + " <td>103</td>\n", + " <td>-103</td>\n", + " <td>4</td>\n", + " <td>-88</td>\n", + " <td>23</td>\n", + " <td>1.778</td>\n", + " <td>126</td>\n", + " <td>23</td>\n", + " </tr>\n", + " <tr>\n", + " <th>93</th>\n", + " <td>60+33</td>\n", + " <td>93</td>\n", + " <td>-93</td>\n", + " <td>4</td>\n", + " <td>-78</td>\n", + " <td>23</td>\n", + " <td>0.562</td>\n", + " <td>116</td>\n", + " <td>23</td>\n", + " </tr>\n", + " <tr>\n", + " <th>83</th>\n", + " <td>40+43</td>\n", + " <td>83</td>\n", + " <td>-83</td>\n", + " <td>4</td>\n", + " <td>-68</td>\n", + " <td>23</td>\n", + " <td>0.178</td>\n", + " <td>106</td>\n", + " <td>23</td>\n", + " </tr>\n", + " <tr>\n", + " <th>73</th>\n", + " <td>40+33</td>\n", + " <td>73</td>\n", + " <td>-72</td>\n", + " <td>4</td>\n", + " <td>-60</td>\n", + " <td>16</td>\n", + " <td>0.056</td>\n", + " <td>88</td>\n", + " <td>15</td>\n", + " </tr>\n", + " <tr>\n", + " <th>63</th>\n", + " <td>40+23</td>\n", + " <td>63</td>\n", + " <td>-62</td>\n", + " <td>4</td>\n", + " <td>-59</td>\n", + " <td>7</td>\n", + " <td>0.018</td>\n", + " <td>69</td>\n", + " <td>6</td>\n", + " </tr>\n", + " <tr>\n", + " <th>53</th>\n", + " <td>40+13</td>\n", + " <td>53</td>\n", + " <td>-52</td>\n", + " <td>4</td>\n", + " <td>-60</td>\n", + " <td>-4</td>\n", + " <td>0.006</td>\n", + " <td>48</td>\n", + " <td>-5</td>\n", + " </tr>\n", + " <tr>\n", + " <th>43</th>\n", + " <td>40+03</td>\n", + " <td>43</td>\n", + " <td>-41</td>\n", + " <td>4</td>\n", + " <td>-58</td>\n", + " <td>-12</td>\n", + " <td>0.002</td>\n", + " <td>29</td>\n", + " <td>-14</td>\n", + " </tr>\n", + " </tbody>\n", + "</table>\n", + "</div>" + ], + "text/plain": [ + " Att conf K_U [dB] Beacon RSSI [dBm] Beacon PWR [dBm] PDU RSSI [dBm] \\\n", + "106 60+46 106 -105 4 -91 \n", + "103 60+43 103 -103 4 -88 \n", + "93 60+33 93 -93 4 -78 \n", + "83 40+43 83 -83 4 -68 \n", + "73 40+33 73 -72 4 -60 \n", + "63 40+23 63 -62 4 -59 \n", + "53 40+13 53 -52 4 -60 \n", + "43 40+03 43 -41 4 -58 \n", + "\n", + " PDU PWR [dBm] FSPL d[km] K_U meas [dB] K_U err [dB] \n", + "106 23 2.512 128 22 \n", + "103 23 1.778 126 23 \n", + "93 23 0.562 116 23 \n", + "83 23 0.178 106 23 \n", + "73 16 0.056 88 15 \n", + "63 7 0.018 69 6 \n", + "53 -4 0.006 48 -5 \n", + "43 -12 0.002 29 -14 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import os\n", + "import pandas as pd\n", + "import numpy as np\n", + "from matplotlib import pyplot as plt\n", + "d = {}\n", + "\n", + "df = pd.DataFrame()\n", + "\n", + "for fname in os.listdir('.'):\n", + " if 'dect' not in fname or 'txt' not in fname:\n", + " continue\n", + " with open(fname) as f:\n", + " print(fname)\n", + " note = fname[len('dect_'):fname.find('.')]\n", + " att = int(eval(note.strip('_2').replace('03', '3')))\n", + " d = {}\n", + " with open(fname) as f:\n", + " status = False\n", + " for line in f:\n", + " if 'dect status' in line:\n", + " status = True\n", + " d = {'Att conf': note, 'K_U [dB]': att}\n", + " \n", + " if not status:\n", + " continue\n", + " \n", + " if 'Last rcvd beacon RX RSSI (dBm):' in line: d['Beacon RSSI [dBm]'] = int(line.split()[-1].rstrip('dBm'))\n", + " if 'Last rcvd beacon TX pwr (dBm):' in line: d['Beacon PWR [dBm]'] = int(line.split()[-1].rstrip('dBm'))\n", + " if 'Last rcvd PDU RX RSSI (dBm):' in line: d['PDU RSSI [dBm]'] = int(line.split()[-1].rstrip('dBm'))\n", + " if 'Last rcvd PDU pwr (dBm):' in line: d['PDU PWR [dBm]'] = int(line.split()[-1].rstrip('dBm'))\n", + " \n", + " try:\n", + " df[att] = d\n", + " except: pass\n", + "df = df.T.sort_index(ascending=False)\n", + "\n", + "df['FSPL d[km]'] = df['K_U [dB]'].apply(lambda x: round(10**((x-98)/20), 3))\n", + "df['K_U meas [dB]'] = df['PDU PWR [dBm]'] - df['Beacon RSSI [dBm]']\n", + "df['K_U err [dB]'] = df['K_U meas [dB]'] - df['K_U [dB]']\n", + "\n", + "display(df)\n", + "\n", + "\n", + "\n", + "#df1024['K_U'].apply(lambda x: -x).T.plot()\n", + "#df1024['tmp'] = df1024.index\n", + "#df1024['tmp'].apply(lambda x: x+71).plot(grid=True)\n", + "\n", + "#df1024['SNR [dB]'].T.plot(grid=True)\n", + "\n", + "#df1024.T[['avg', 'min', 'max']].sort_index().plot(grid=True, title='NB-IoT - Round trip times', ylabel='round trip time [ms]', xlabel='additional ')" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "0778a48b-c21a-4ed4-ae3e-bd479737fc72", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "dect_60+46.csv\n", + "dect_60+43.csv\n", + "dect_60+33.csv\n", + "dect_40+43.csv\n", + "dect_40+33.csv\n", + "dect_40+23.csv\n", + "dect_40+13.csv\n", + "dect_40+03.csv\n" + ] + } + ], + "source": [ + "from matplotlib import pyplot as plt\n", + "import zipfile\n", + "from matplotlib.backend_bases import MouseButton\n", + "\n", + "def show_i(a, ku, s, e):\n", + " with plt.ion():\n", + " showing = True\n", + " i = a/1000\n", + " fs = 100000\n", + " \n", + " ready = 0 #np.mean(i[int(e[ku][0]*fs):int(s[ku][1]*fs)])\n", + " standby = np.mean(i[:fs*2])\n", + " xmax = len(i)/fs\n", + "\n", + " fig = plt.figure(figsize=(10,6))\n", + "\n", + " plt.plot(np.linspace(0, len(i)/fs, len(i)), i)\n", + "\n", + " plt.axhline(standby, color='g')\n", + " plt.axhline(ready, color='r')\n", + "\n", + " #for s in s[ku]: plt.axvline(s, color='y')\n", + " #for s in e[ku]: plt.axvline(s, color='r')\n", + "\n", + " plt.legend(['Measured', 'Standby mean', 'Ready mean'], loc='right')\n", + " plt.grid()\n", + " plt.xlabel('Time [s]')\n", + " plt.ylabel('Current [mA]')\n", + " plt.title(ku)\n", + "\n", + " plt.show()\n", + "\n", + "for ku in df['Att conf'].to_list():\n", + " print(f'dect_{ku}.csv')\n", + " a = np.genfromtxt(f'dect_{ku}.csv', delimiter=\",\", dtype=float, skip_header=1)\n", + " att = eval(ku.replace('03', '3'))\n", + " #show_i(a, ku, {}, {})\n", + " \n", + " df.loc[att, 'Max I [mA]'] = max(a)/1000\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "1218f35d-9860-4782-a527-fa38fb5f9210", + "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>Att conf</th>\n", + " <th>K_U [dB]</th>\n", + " <th>Beacon RSSI [dBm]</th>\n", + " <th>Beacon PWR [dBm]</th>\n", + " <th>PDU RSSI [dBm]</th>\n", + " <th>PDU PWR [dBm]</th>\n", + " <th>FSPL d[km]</th>\n", + " <th>K_U meas [dB]</th>\n", + " <th>K_U err [dB]</th>\n", + " <th>Max I [mA]</th>\n", + " <th>PDU PWR PPK [dBm]</th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " <tr>\n", + " <th>106</th>\n", + " <td>60+46</td>\n", + " <td>106</td>\n", + " <td>-105</td>\n", + " <td>4</td>\n", + " <td>-91</td>\n", + " <td>23</td>\n", + " <td>2.512</td>\n", + " <td>128</td>\n", + " <td>22</td>\n", + " <td>213.275766</td>\n", + " <td>18.3</td>\n", + " </tr>\n", + " <tr>\n", + " <th>103</th>\n", + " <td>60+43</td>\n", + " <td>103</td>\n", + " <td>-103</td>\n", + " <td>4</td>\n", + " <td>-88</td>\n", + " <td>23</td>\n", + " <td>1.778</td>\n", + " <td>126</td>\n", + " <td>23</td>\n", + " <td>218.631891</td>\n", + " <td>18.5</td>\n", + " </tr>\n", + " <tr>\n", + " <th>93</th>\n", + " <td>60+33</td>\n", + " <td>93</td>\n", + " <td>-93</td>\n", + " <td>4</td>\n", + " <td>-78</td>\n", + " <td>23</td>\n", + " <td>0.562</td>\n", + " <td>116</td>\n", + " <td>23</td>\n", + " <td>220.928734</td>\n", + " <td>18.6</td>\n", + " </tr>\n", + " <tr>\n", + " <th>83</th>\n", + " <td>40+43</td>\n", + " <td>83</td>\n", + " <td>-83</td>\n", + " <td>4</td>\n", + " <td>-68</td>\n", + " <td>23</td>\n", + " <td>0.178</td>\n", + " <td>106</td>\n", + " <td>23</td>\n", + " <td>221.694516</td>\n", + " <td>18.6</td>\n", + " </tr>\n", + " <tr>\n", + " <th>73</th>\n", + " <td>40+33</td>\n", + " <td>73</td>\n", + " <td>-72</td>\n", + " <td>4</td>\n", + " <td>-60</td>\n", + " <td>16</td>\n", + " <td>0.056</td>\n", + " <td>88</td>\n", + " <td>15</td>\n", + " <td>160.714813</td>\n", + " <td>15.8</td>\n", + " </tr>\n", + " <tr>\n", + " <th>63</th>\n", + " <td>40+23</td>\n", + " <td>63</td>\n", + " <td>-62</td>\n", + " <td>4</td>\n", + " <td>-59</td>\n", + " <td>7</td>\n", + " <td>0.018</td>\n", + " <td>69</td>\n", + " <td>6</td>\n", + " <td>97.304063</td>\n", + " <td>11.5</td>\n", + " </tr>\n", + " <tr>\n", + " <th>53</th>\n", + " <td>40+13</td>\n", + " <td>53</td>\n", + " <td>-52</td>\n", + " <td>4</td>\n", + " <td>-60</td>\n", + " <td>-4</td>\n", + " <td>0.006</td>\n", + " <td>48</td>\n", + " <td>-5</td>\n", + " <td>89.047148</td>\n", + " <td>10.7</td>\n", + " </tr>\n", + " <tr>\n", + " <th>43</th>\n", + " <td>40+03</td>\n", + " <td>43</td>\n", + " <td>-41</td>\n", + " <td>4</td>\n", + " <td>-58</td>\n", + " <td>-12</td>\n", + " <td>0.002</td>\n", + " <td>29</td>\n", + " <td>-14</td>\n", + " <td>88.297055</td>\n", + " <td>10.6</td>\n", + " </tr>\n", + " </tbody>\n", + "</table>\n", + "</div>" + ], + "text/plain": [ + " Att conf K_U [dB] Beacon RSSI [dBm] Beacon PWR [dBm] PDU RSSI [dBm] \\\n", + "106 60+46 106 -105 4 -91 \n", + "103 60+43 103 -103 4 -88 \n", + "93 60+33 93 -93 4 -78 \n", + "83 40+43 83 -83 4 -68 \n", + "73 40+33 73 -72 4 -60 \n", + "63 40+23 63 -62 4 -59 \n", + "53 40+13 53 -52 4 -60 \n", + "43 40+03 43 -41 4 -58 \n", + "\n", + " PDU PWR [dBm] FSPL d[km] K_U meas [dB] K_U err [dB] Max I [mA] \\\n", + "106 23 2.512 128 22 213.275766 \n", + "103 23 1.778 126 23 218.631891 \n", + "93 23 0.562 116 23 220.928734 \n", + "83 23 0.178 106 23 221.694516 \n", + "73 16 0.056 88 15 160.714813 \n", + "63 7 0.018 69 6 97.304063 \n", + "53 -4 0.006 48 -5 89.047148 \n", + "43 -12 0.002 29 -14 88.297055 \n", + "\n", + " PDU PWR PPK [dBm] \n", + "106 18.3 \n", + "103 18.5 \n", + "93 18.6 \n", + "83 18.6 \n", + "73 15.8 \n", + "63 11.5 \n", + "53 10.7 \n", + "43 10.6 " + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['PDU PWR PPK [dBm]'] = df['Max I [mA]'].apply(lambda i: 31.7 + 20 * np.log10(i/1000)).round(1)\n", + "df\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "74d08053-45ce-4cc5-ae1c-626fde70c5b8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\\begin{tabular}{lllllrlrrl}\n", + "\\toprule\n", + "K_U [dB] & Beacon RSSI [dBm] & Beacon PWR [dBm] & PDU RSSI [dBm] & PDU PWR [dBm] & FSPL d[km] & K_U meas [dB] & Max I [mA] & PDU PWR PPK [dBm] & Att conf \\\\\n", + "\\midrule\n", + "106 & -105 & 4 & -91 & 23 & 2.51 & 128 & 213.28 & 18.30 & 60+46 \\\\\n", + "103 & -103 & 4 & -88 & 23 & 1.78 & 126 & 218.63 & 18.50 & 60+43 \\\\\n", + "93 & -93 & 4 & -78 & 23 & 0.56 & 116 & 220.93 & 18.60 & 60+33 \\\\\n", + "83 & -83 & 4 & -68 & 23 & 0.18 & 106 & 221.69 & 18.60 & 40+43 \\\\\n", + "73 & -72 & 4 & -60 & 16 & 0.06 & 88 & 160.71 & 15.80 & 40+33 \\\\\n", + "63 & -62 & 4 & -59 & 7 & 0.02 & 69 & 97.30 & 11.50 & 40+23 \\\\\n", + "53 & -52 & 4 & -60 & -4 & 0.01 & 48 & 89.05 & 10.70 & 40+13 \\\\\n", + "43 & -41 & 4 & -58 & -12 & 0.00 & 29 & 88.30 & 10.60 & 40+03 \\\\\n", + "\\bottomrule\n", + "\\end{tabular}\n", + "\n" + ] + }, + { + "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>K_U [dB]</th>\n", + " <th>Beacon RSSI [dBm]</th>\n", + " <th>Beacon PWR [dBm]</th>\n", + " <th>PDU RSSI [dBm]</th>\n", + " <th>PDU PWR [dBm]</th>\n", + " <th>FSPL d[km]</th>\n", + " <th>K_U meas [dB]</th>\n", + " <th>Max I [mA]</th>\n", + " <th>PDU PWR PPK [dBm]</th>\n", + " <th>Att conf</th>\n", + " </tr>\n", + " </thead>\n", + " <tbody>\n", + " <tr>\n", + " <th>106</th>\n", + " <td>106</td>\n", + " <td>-105</td>\n", + " <td>4</td>\n", + " <td>-91</td>\n", + " <td>23</td>\n", + " <td>2.512</td>\n", + " <td>128</td>\n", + " <td>213.275766</td>\n", + " <td>18.3</td>\n", + " <td>60+46</td>\n", + " </tr>\n", + " <tr>\n", + " <th>103</th>\n", + " <td>103</td>\n", + " <td>-103</td>\n", + " <td>4</td>\n", + " <td>-88</td>\n", + " <td>23</td>\n", + " <td>1.778</td>\n", + " <td>126</td>\n", + " <td>218.631891</td>\n", + " <td>18.5</td>\n", + " <td>60+43</td>\n", + " </tr>\n", + " <tr>\n", + " <th>93</th>\n", + " <td>93</td>\n", + " <td>-93</td>\n", + " <td>4</td>\n", + " <td>-78</td>\n", + " <td>23</td>\n", + " <td>0.562</td>\n", + " <td>116</td>\n", + " <td>220.928734</td>\n", + " <td>18.6</td>\n", + " <td>60+33</td>\n", + " </tr>\n", + " <tr>\n", + " <th>83</th>\n", + " <td>83</td>\n", + " <td>-83</td>\n", + " <td>4</td>\n", + " <td>-68</td>\n", + " <td>23</td>\n", + " <td>0.178</td>\n", + " <td>106</td>\n", + " <td>221.694516</td>\n", + " <td>18.6</td>\n", + " <td>40+43</td>\n", + " </tr>\n", + " <tr>\n", + " <th>73</th>\n", + " <td>73</td>\n", + " <td>-72</td>\n", + " <td>4</td>\n", + " <td>-60</td>\n", + " <td>16</td>\n", + " <td>0.056</td>\n", + " <td>88</td>\n", + " <td>160.714813</td>\n", + " <td>15.8</td>\n", + " <td>40+33</td>\n", + " </tr>\n", + " <tr>\n", + " <th>63</th>\n", + " <td>63</td>\n", + " <td>-62</td>\n", + " <td>4</td>\n", + " <td>-59</td>\n", + " <td>7</td>\n", + " <td>0.018</td>\n", + " <td>69</td>\n", + " <td>97.304063</td>\n", + " <td>11.5</td>\n", + " <td>40+23</td>\n", + " </tr>\n", + " <tr>\n", + " <th>53</th>\n", + " <td>53</td>\n", + " <td>-52</td>\n", + " <td>4</td>\n", + " <td>-60</td>\n", + " <td>-4</td>\n", + " <td>0.006</td>\n", + " <td>48</td>\n", + " <td>89.047148</td>\n", + " <td>10.7</td>\n", + " <td>40+13</td>\n", + " </tr>\n", + " <tr>\n", + " <th>43</th>\n", + " <td>43</td>\n", + " <td>-41</td>\n", + " <td>4</td>\n", + " <td>-58</td>\n", + " <td>-12</td>\n", + " <td>0.002</td>\n", + " <td>29</td>\n", + " <td>88.297055</td>\n", + " <td>10.6</td>\n", + " <td>40+03</td>\n", + " </tr>\n", + " </tbody>\n", + "</table>\n", + "</div>" + ], + "text/plain": [ + " K_U [dB] Beacon RSSI [dBm] Beacon PWR [dBm] PDU RSSI [dBm] PDU PWR [dBm] \\\n", + "106 106 -105 4 -91 23 \n", + "103 103 -103 4 -88 23 \n", + "93 93 -93 4 -78 23 \n", + "83 83 -83 4 -68 23 \n", + "73 73 -72 4 -60 16 \n", + "63 63 -62 4 -59 7 \n", + "53 53 -52 4 -60 -4 \n", + "43 43 -41 4 -58 -12 \n", + "\n", + " FSPL d[km] K_U meas [dB] Max I [mA] PDU PWR PPK [dBm] Att conf \n", + "106 2.512 128 213.275766 18.3 60+46 \n", + "103 1.778 126 218.631891 18.5 60+43 \n", + "93 0.562 116 220.928734 18.6 60+33 \n", + "83 0.178 106 221.694516 18.6 40+43 \n", + "73 0.056 88 160.714813 15.8 40+33 \n", + "63 0.018 69 97.304063 11.5 40+23 \n", + "53 0.006 48 89.047148 10.7 40+13 \n", + "43 0.002 29 88.297055 10.6 40+03 " + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.columns\n", + "cols = ['K_U [dB]', 'Beacon RSSI [dBm]', 'Beacon PWR [dBm]', 'PDU RSSI [dBm]', 'PDU PWR [dBm]', 'FSPL d[km]', 'K_U meas [dB]', 'Max I [mA]', 'PDU PWR PPK [dBm]', 'Att conf', ]\n", + "\n", + "print(df[cols].round(2).to_latex(index=False, float_format='%.2f'))\n", + "df[cols]" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "1b71653c-de3a-4b03-aa31-9adad8ad43d3", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "<Figure size 2000x1200 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "<Figure size 2000x1200 with 1 Axes>" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\\input{\"mereni/komoradect/dectRSSIlevelstotoattenuation\"}\n", + "\\input{\"mereni/komoradect/dectPowerlevelstotoattenuation\"}\n", + "\n" + ] + } + ], + "source": [ + "def save_fig_tex(fname, title):\n", + " global files\n", + " files += '\\input{\"mereni/komoradect/' + fname + '\"}\\n'\n", + " with open(f'{fname}.tex', 'w') as f:\n", + " f.write(r'''\n", + "\\begin{figure}[H]\n", + " \\begin{center}\n", + " \\includegraphics[width=1\\textwidth]{\"mereni/komoradect/''' + fname + '''.png\"}\n", + " \\end{center}\n", + " \\caption[''' + title + ''']{''' + title + '''}\n", + " \\label{fig:'''+fname+'''}\n", + "\\end{figure}''')\n", + "\n", + "def stat(x, ys, ylabel, title):\n", + " fig = plt.figure(figsize=(10,6), dpi=200)\n", + "\n", + " for y in ys:\n", + " plt.plot(df[x], df[y], 'x-')\n", + " \n", + " plt.grid()\n", + " plt.xlabel(x)\n", + " plt.ylabel(ylabel)\n", + " ttitle = f'DECT NR+ {title}'\n", + " plt.legend(ys)\n", + " plt.title(ttitle)\n", + " plt.savefig(f'dect{title.replace(\" \", \"\")}.png')\n", + " save_fig_tex(f'dect{title.replace(\" \", \"\")}', ttitle)\n", + " plt.show()\n", + "\n", + "files = ''\n", + "stat('K_U [dB]', [ 'Beacon RSSI [dBm]', 'PDU RSSI [dBm]'], 'RSSI [dBm]', 'RSSI levels to to attenuation')\n", + "stat('K_U [dB]', [ 'Beacon PWR [dBm]', 'PDU PWR [dBm]'], 'Output power [dBm]', 'Power levels to to attenuation')\n", + "\n", + "print(files)\n", + "#stat('K_U [dB]', 'RSRP [dBm]', 'Reference Signal Received Power to attenuation')\n", + "#stat('K_U [dB]', 'Ready I [mA]', 'Ready current to attenuation')" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "8f3c26b1-20f3-45d1-bf3d-6fe257700fc3", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "22.387" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "round(10**(((106+19)-98)/20), 3)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "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": "3.11.2" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} |