From 2cb0f251ae1368225e93cc45ff195e6848133261 Mon Sep 17 00:00:00 2001
From: TT <edy555@gmail.com>
Date: Sun, 17 Nov 2019 20:26:43 +0900
Subject: [PATCH] doc: update notebook example

---
 python/NanoVNA-example.ipynb | 404 ++++++++---------------------------
 1 file changed, 86 insertions(+), 318 deletions(-)

diff --git a/python/NanoVNA-example.ipynb b/python/NanoVNA-example.ipynb
index 269e8b6f..97307276 100644
--- a/python/NanoVNA-example.ipynb
+++ b/python/NanoVNA-example.ipynb
@@ -1,58 +1,59 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Sample notebook to interact with NanoVNA"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 1,
-   "metadata": {
-    "collapsed": false
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
-    "%matplotlib inline\n",
-    "from nanovna import NanoVNA"
+    "cd python"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 2,
-   "metadata": {
-    "collapsed": true
-   },
+   "metadata": {},
    "outputs": [],
    "source": [
+    "%matplotlib inline\n",
+    "from nanovna import NanoVNA\n",
     "#reload script\n",
-    "%run nanovna.py"
+    "# %run nanovna.py"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 5,
+   "metadata": {},
    "outputs": [],
    "source": [
-    "#instanceを生成\n",
-    "nv = NanoVNA('/dev/cu.usbmodem401')"
+    "# create instance and connect to the device\n",
+    "nv = NanoVNA()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 6,
+   "metadata": {},
    "outputs": [],
    "source": [
+    "nv.set_sweep(1e6, 300e6)\n",
     "nv.fetch_frequencies()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 7,
+   "metadata": {},
    "outputs": [],
    "source": [
     "s11 = nv.data(0)\n",
@@ -61,20 +62,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {
-    "collapsed": false,
-    "scrolled": true
-   },
+   "execution_count": 19,
+   "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x10ed93a10>"
-      ]
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+      "text/plain": "<Figure size 432x288 with 1 Axes>"
+     },
+     "metadata": {
+      "needs_background": "light"
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-     "metadata": {},
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@@ -85,20 +84,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {
-    "collapsed": false,
-    "scrolled": true
-   },
+   "execution_count": 20,
+   "metadata": {},
    "outputs": [
     {
      "data": {
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0is1DCOQdSlV/3sCmvRrY/2Lg4iDOnRbCGhWzww7Qrx/cfz+MGRP88ePI2rUuoGxikBys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\npC2GsGyZKzCXe/OvG0P48EO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-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x10effba90>"
-      ]
+      "image/png": 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+      "text/plain": "<Figure size 432x288 with 1 Axes>"
+     },
+     "metadata": {
+      "needs_background": "light"
      },
-     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -106,147 +103,68 @@
     "nv.phase(s12)"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "array([ 0.02341891-0.01932788j,  0.00707660-0.079767j  ,\n",
-       "       -0.02694627-0.13427958j, -0.07665737-0.16863626j,\n",
-       "       -0.13404523-0.18186711j, -0.19068630-0.17502719j,\n",
-       "       -0.23895971-0.15171185j, -0.27192709-0.11150361j,\n",
-       "       -0.28541949-0.06412426j, -0.28357497-0.01661946j,\n",
-       "       -0.26252094+0.03132603j, -0.22414946+0.06428533j,\n",
-       "       -0.17412527+0.08607276j, -0.12071022+0.08761155j,\n",
-       "       -0.06558844+0.0678422j , -0.02012970+0.03188221j,\n",
-       "        0.00816156-0.01728208j,  0.01533231-0.06997578j,\n",
-       "        0.00509378-0.11836059j, -0.02004478-0.15749748j,\n",
-       "       -0.05157295-0.17565535j, -0.08396260-0.17794099j,\n",
-       "       -0.10976810-0.16326575j, -0.11683880-0.13783102j,\n",
-       "       -0.10560337-0.11172962j, -0.07770808-0.09324122j,\n",
-       "       -0.04107541-0.0896017j , -0.00254240-0.10523073j,\n",
-       "        0.02081765-0.13326301j,  0.02799014-0.15902352j,\n",
-       "        0.02395818-0.1656454j ,  0.02989859-0.13648313j,\n",
-       "        0.09309933-0.08746582j,  0.23875974-0.07373825j,\n",
-       "        0.41306356-0.1840377j ,  0.49935579-0.40010187j,\n",
-       "        0.46292335-0.61807692j,  0.35643625-0.7764343j ,\n",
-       "        0.23051427-0.87399077j,  0.10847776-0.92844027j,\n",
-       "       -0.00111391-0.95434445j, -0.09800728-0.96298492j,\n",
-       "       -0.18239826-0.95959955j, -0.25620979-0.94958162j,\n",
-       "       -0.32053882-0.93522185j, -0.37812766-0.91702628j,\n",
-       "       -0.42910710-0.89654344j, -0.47435814-0.87565702j,\n",
-       "       -0.51518065-0.85292637j, -0.55054969-0.83175707j,\n",
-       "       -0.58457225-0.8106581j , -0.61445665-0.78818732j,\n",
-       "       -0.63967824-0.76758605j, -0.66459942-0.74695158j,\n",
-       "       -0.68646353-0.72539902j, -0.70658088-0.70528418j,\n",
-       "       -0.72496969-0.68664485j, -0.74239981-0.66640806j,\n",
-       "       -0.75771165-0.6484077j , -0.77143580-0.63007224j,\n",
-       "       -0.78490543-0.6131776j , -0.79752558-0.59713316j,\n",
-       "       -0.80849564-0.58034045j, -0.81813753-0.56454337j,\n",
-       "       -0.82900721-0.54934829j, -0.83704859-0.53287363j,\n",
-       "       -0.84566963-0.52019876j, -0.85355520-0.50471479j,\n",
-       "       -0.86061305-0.49081132j, -0.86751437-0.47883418j,\n",
-       "       -0.87422037-0.46435362j, -0.87894350-0.45377043j,\n",
-       "       -0.88490283-0.44119406j, -0.88976771-0.42934528j,\n",
-       "       -0.89503652-0.4171125j , -0.89899051-0.40627736j,\n",
-       "       -0.90292114-0.3942053j , -0.90709221-0.38484824j,\n",
-       "       -0.91039801-0.37435383j, -0.91353023-0.36478758j,\n",
-       "       -0.91732216-0.35437799j, -0.92007667-0.34376469j,\n",
-       "       -0.92324626-0.33155322j, -0.92624354-0.3227852j ,\n",
-       "       -0.92862195-0.3131932j , -0.93135691-0.30518067j,\n",
-       "       -0.93248403-0.29702327j, -0.93419075-0.28834644j,\n",
-       "       -0.93659395-0.28189823j, -0.93927556-0.27244955j,\n",
-       "       -0.93970323-0.26500195j, -0.94213778-0.25833073j,\n",
-       "       -0.94326794-0.25036716j, -0.94467962-0.24311051j,\n",
-       "       -0.94555390-0.23731124j, -0.94715327-0.22954802j,\n",
-       "       -0.94979298-0.22517225j, -0.94957387-0.22162861j,\n",
-       "       -0.95127231-0.21481942j, -0.95151079-0.21052867j,\n",
-       "       -0.95311463-0.19961566j])"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "s11"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
+   "outputs": [],
    "source": [
-    "## scikit-rfでスミスチャート"
+    "## Various plots by scikit-rf"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {
-    "collapsed": false,
-    "scrolled": true
-   },
+   "execution_count": 10,
+   "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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X+9nZ2Zg3bx7s7e0RGhoqcjiDYkSgRPfvTHt7O5YvX46srCzcvn0bDAaj32MJIbh06RL4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-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x10f315e10>"
-      ]
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+      "text/plain": "<Figure size 432x288 with 1 Axes>"
      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
-    "#scikit-rf(skrf)を使ってスミスチャートをプロット\n",
     "n = nv.smith(s11)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 11,
+   "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x10f195710>"
-      ]
+      "image/png": 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+      "text/plain": "<Figure size 432x288 with 1 Axes>"
+     },
+     "metadata": {
+      "needs_background": "light"
      },
-     "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
-    "#nv.smith()の返値はskrfのNetworkのインスタンス。いろいろとプロットできる。\n",
     "n.plot_s_deg()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 12,
+   "metadata": {},
    "outputs": [
     {
      "data": {
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-      "text/plain": [
-       "<matplotlib.figure.Figure at 0x10effb950>"
-      ]
+      "image/png": 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+      "text/plain": "<Figure size 432x288 with 1 Axes>"
+     },
+     "metadata": {
+      "needs_background": "light"
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    ],
@@ -257,215 +175,65 @@
   {
    "cell_type": "markdown",
    "metadata": {},
+   "outputs": [],
    "source": [
-    "## touchstoneファイルを読み書き"
+    "## read/write touchstone file"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 13,
+   "metadata": {},
    "outputs": [],
    "source": [
-    "#skrfのNetworkのインスタンスに変換\n",
-    "n = nv.skrf_network(a)\n",
-    "#ファイルに書き出す\n",
     "n.write_touchstone('100mhz-lpf-s11')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "!Created with skrf (http://scikit-rf.org).\r\n",
-      "# MHz S RI R 50.0 \r\n",
-      "!freq ReS11 ImS11\r\n",
-      "1.0 0.012460355 -0.015879744\r\n",
-      "3.99 -0.008661273 -0.069707974\r\n",
-      "6.98 -0.042227279 -0.115677334\r\n",
-      "9.97 -0.092017509 -0.143823102\r\n",
-      "12.96 -0.147657468 -0.149449899\r\n",
-      "15.95 -0.201385751 -0.135523363\r\n",
-      "18.94 -0.243053123 -0.102494128\r\n",
-      "21.93 -0.270805299 -0.057194426\r\n",
-      "24.92 -0.279718816 -0.006995845\r\n",
-      "27.91 -0.26907292 0.044069305\r\n",
-      "30.9 -0.240883052 0.086606264\r\n",
-      "33.89 -0.198594421 0.115753814\r\n",
-      "36.88 -0.148413732 0.127066627\r\n",
-      "39.87 -0.095692999 0.120097838\r\n",
-      "42.86 -0.051569625 0.092090547\r\n",
-      "45.85 -0.021049311 0.050145152\r\n",
-      "48.84 -0.008668005 0.000488108\r\n",
-      "51.83 -0.01736783 -0.046825736\r\n",
-      "54.82 -0.043845944 -0.085811898\r\n",
-      "57.81 -0.07889305 -0.108475185\r\n",
-      "60.8 -0.115591615 -0.111082322\r\n",
-      "63.79 -0.144830152 -0.100106723\r\n",
-      "66.78 -0.161541178 -0.078393302\r\n",
-      "69.77 -0.160680696 -0.052953913\r\n",
-      "72.76 -0.145111352 -0.035594791\r\n",
-      "75.75 -0.12046393 -0.031371835\r\n",
-      "78.74 -0.096017956 -0.045363258\r\n",
-      "81.73 -0.079670108 -0.068865291\r\n",
-      "84.72 -0.079107657 -0.096139885\r\n",
-      "87.71 -0.086602538 -0.111095376\r\n",
-      "90.7 -0.088500604 -0.108509123\r\n",
-      "93.69 -0.056621097 -0.095994919\r\n",
-      "96.68 0.023785417 -0.113351397\r\n",
-      "99.67 0.122755669 -0.22131671\r\n",
-      "102.66 0.143200159 -0.430105596\r\n",
-      "105.65 0.014455529 -0.636196434\r\n",
-      "108.64 -0.199580222 -0.738724291\r\n",
-      "111.63 -0.409823477 -0.738352775\r\n",
-      "114.62 -0.579784512 -0.676701188\r\n",
-      "117.61 -0.706734716 -0.588059663\r\n",
-      "120.6 -0.798828005 -0.489604473\r\n",
-      "123.59 -0.863955259 -0.390565961\r\n",
-      "126.58 -0.908756136 -0.294724076\r\n",
-      "129.57 -0.939148843 -0.203354865\r\n",
-      "132.56 -0.956894338 -0.117651909\r\n",
-      "135.55 -0.965772807 -0.036837998\r\n",
-      "138.54 -0.967170655 0.038984399\r\n",
-      "141.53 -0.962748467 0.109661862\r\n",
-      "144.52 -0.953266203 0.17541635\r\n",
-      "147.51 -0.939689636 0.237756907\r\n",
-      "150.5 -0.923340022 0.295781522\r\n",
-      "153.49 -0.903214097 0.34978187\r\n",
-      "156.48 -0.881740689 0.400764703\r\n",
-      "159.47 -0.857602655 0.447761893\r\n",
-      "162.46 -0.832307636 0.492349296\r\n",
-      "165.45 -0.805417716 0.533628106\r\n",
-      "168.44 -0.777211487 0.572187721\r\n",
-      "171.43 -0.748060345 0.608603715\r\n",
-      "174.42 -0.718081474 0.641842961\r\n",
-      "177.41 -0.687663137 0.672596335\r\n",
-      "180.4 -0.656353473 0.702500879\r\n",
-      "183.39 -0.624873399 0.72873044\r\n",
-      "186.38 -0.592888653 0.753398597\r\n",
-      "189.37 -0.561039626 0.775578379\r\n",
-      "192.36 -0.527994394 0.797781229\r\n",
-      "195.35 -0.495531857 0.817145586\r\n",
-      "198.34 -0.462994456 0.834913671\r\n",
-      "201.33 -0.43011853 0.851932346\r\n",
-      "204.32 -0.397464483 0.865558087\r\n",
-      "207.31 -0.364593744 0.878933131\r\n",
-      "210.3 -0.331911683 0.890994787\r\n",
-      "213.29 -0.299343347 0.90097469\r\n",
-      "216.28 -0.267236679 0.9105255\r\n",
-      "219.27 -0.234721973 0.918669342\r\n",
-      "222.26 -0.202711537 0.925427734\r\n",
-      "225.25 -0.170930698 0.930867791\r\n",
-      "228.24 -0.140019878 0.935535848\r\n",
-      "231.23 -0.107755944 0.939114093\r\n",
-      "234.22 -0.077951855 0.941670715\r\n",
-      "237.21 -0.047086469 0.942763864\r\n",
-      "240.2 -0.017075931 0.944037675\r\n",
-      "243.19 0.014421619 0.942831575\r\n",
-      "246.18 0.043578565 0.941699922\r\n",
-      "249.17 0.074097789 0.940415143\r\n",
-      "252.16 0.10234037 0.936205804\r\n",
-      "255.15 0.132019862 0.932417213\r\n",
-      "258.14 0.159588053 0.927824199\r\n",
-      "261.13 0.188750743 0.922450125\r\n",
-      "264.12 0.21566835 0.916439771\r\n",
-      "267.11 0.24223265 0.90987128\r\n",
-      "270.1 0.269220948 0.901904821\r\n",
-      "273.09 0.296390444 0.892024219\r\n",
-      "276.08 0.322025299 0.883853435\r\n",
-      "279.07 0.347055166 0.874677836\r\n",
-      "282.06 0.372412115 0.864473819\r\n",
-      "285.05 0.397422134 0.853511154\r\n",
-      "288.04 0.422893732 0.841982126\r\n",
-      "291.03 0.446770995 0.828893423\r\n",
-      "294.02 0.469735026 0.81654936\r\n",
-      "297.01 0.493450969 0.80179876\r\n",
-      "300.0 0.514534354 0.789222598\r\n"
-     ]
-    }
-   ],
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [],
    "source": [
-    "#ファイルを確認\n",
-    "!cat 100mhz-lpf-s11.s1p"
+    "import skrf\n",
+    "m = skrf.Network('100mhz-lpf-s11.s1p')"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": 25,
-   "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "1-Port Network: '100mhz-lpf-s11',  1-300 MHz, 101 pts, z0=[ 50.+0.j]"
-      ]
-     },
-     "execution_count": 25,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "cell_type": "markdown",
+   "metadata": {},
+   "outputs": [],
    "source": [
-    "#再読み込み\n",
-    "import skrf\n",
-    "skrf.Network('100mhz-lpf-s11.s1p')"
+    "## read/write by skrf network format"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
-   "metadata": {
-    "collapsed": true
-   },
+   "execution_count": 15,
+   "metadata": {},
    "outputs": [],
    "source": [
-    "#独自形式で書き出す\n",
     "n.write('100mhz-lpf')"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {
-    "collapsed": false
-   },
+   "execution_count": 17,
+   "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "1-Port Network: '',  1-300 MHz, 101 pts, z0=[ 50.+0.j]"
-      ]
+      "text/plain": "1-Port Network: '',  1.0-300.0 MHz, 101 pts, z0=[50.+0.j]"
      },
-     "execution_count": 27,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "#独自形式を読み込む\n",
     "import skrf\n",
     "skrf.read('100mhz-lpf.ntwk')"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
@@ -477,14 +245,14 @@
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.7.5"
   },
   "toc": {
    "toc_cell": false,
@@ -499,4 +267,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 1
-}
+}
\ No newline at end of file