2017-01-12 00:42:32 +01:00
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{
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"cells": [
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2019-11-17 12:26:43 +01:00
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{
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"cell_type": "markdown",
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"execution_count": 18,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Sample notebook to interact with NanoVNA"
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]
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},
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2017-01-12 00:42:32 +01:00
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{
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"cell_type": "code",
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"execution_count": 1,
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2019-11-17 12:26:43 +01:00
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"metadata": {},
|
2017-01-12 00:42:32 +01:00
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"outputs": [],
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"source": [
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2019-11-17 12:26:43 +01:00
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"cd python"
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2017-01-12 00:42:32 +01:00
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]
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},
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{
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"cell_type": "code",
|
2017-01-17 15:06:32 +01:00
|
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"execution_count": 2,
|
2019-11-17 12:26:43 +01:00
|
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"metadata": {},
|
2017-01-12 00:42:32 +01:00
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"outputs": [],
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"source": [
|
2019-11-17 12:26:43 +01:00
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"%matplotlib inline\n",
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"from nanovna import NanoVNA\n",
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2017-01-12 00:42:32 +01:00
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"#reload script\n",
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2019-11-17 12:26:43 +01:00
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"# %run nanovna.py"
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2017-01-12 00:42:32 +01:00
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]
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},
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{
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"cell_type": "code",
|
2019-11-17 12:26:43 +01:00
|
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"execution_count": 5,
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"metadata": {},
|
2017-01-12 00:42:32 +01:00
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"outputs": [],
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"source": [
|
2019-11-17 12:26:43 +01:00
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"# create instance and connect to the device\n",
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"nv = NanoVNA()"
|
2017-01-12 00:42:32 +01:00
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]
|
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},
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{
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"cell_type": "code",
|
2019-11-17 12:26:43 +01:00
|
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"execution_count": 6,
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"metadata": {},
|
2017-01-12 00:42:32 +01:00
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"outputs": [],
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"source": [
|
2019-11-17 12:26:43 +01:00
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"nv.set_sweep(1e6, 300e6)\n",
|
2017-01-17 15:06:32 +01:00
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"nv.fetch_frequencies()"
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]
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},
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{
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"cell_type": "code",
|
2019-11-17 12:26:43 +01:00
|
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"execution_count": 7,
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"metadata": {},
|
2017-01-17 15:06:32 +01:00
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"outputs": [],
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"source": [
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"s11 = nv.data(0)\n",
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"s12 = nv.data(1)"
|
2017-01-12 00:42:32 +01:00
|
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|
]
|
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},
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{
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"cell_type": "code",
|
2019-11-17 12:26:43 +01:00
|
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"execution_count": 19,
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|
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"metadata": {},
|
2017-01-12 00:42:32 +01:00
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"outputs": [
|
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{
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"data": {
|
2019-11-17 12:26:43 +01:00
|
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|
"image/png": "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|
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"text/plain": "<Figure size 432x288 with 1 Axes>"
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|
},
|
|
|
|
|
"metadata": {
|
|
|
|
|
"needs_background": "light"
|
2017-01-12 00:42:32 +01:00
|
|
|
},
|
|
|
|
|
"output_type": "display_data"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
2017-01-17 15:06:32 +01:00
|
|
|
"nv.logmag(s11)\n",
|
|
|
|
|
"nv.logmag(s12)"
|
2017-01-12 00:42:32 +01:00
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2019-11-17 12:26:43 +01:00
|
|
|
"execution_count": 20,
|
|
|
|
|
"metadata": {},
|
2017-01-12 00:42:32 +01:00
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
2019-11-17 12:26:43 +01:00
|
|
|
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"text/plain": "<Figure size 432x288 with 1 Axes>"
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},
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"metadata": {
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"needs_background": "light"
|
2017-01-12 00:42:32 +01:00
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},
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"output_type": "display_data"
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}
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],
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"source": [
|
2017-01-17 15:06:32 +01:00
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"nv.phase(s12)"
|
2017-01-12 00:42:32 +01:00
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
|
2019-11-17 12:26:43 +01:00
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"outputs": [],
|
2017-01-12 00:42:32 +01:00
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"source": [
|
2019-11-17 12:26:43 +01:00
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"## Various plots by scikit-rf"
|
2017-01-12 00:42:32 +01:00
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]
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},
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{
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"cell_type": "code",
|
2019-11-17 12:26:43 +01:00
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"execution_count": 10,
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"metadata": {},
|
2017-01-12 00:42:32 +01:00
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"outputs": [
|
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{
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"data": {
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2019-11-17 12:26:43 +01:00
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"text/plain": "<Figure size 432x288 with 1 Axes>"
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2017-01-12 00:42:32 +01:00
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
|
2017-01-17 15:06:32 +01:00
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"n = nv.smith(s11)"
|
2017-01-12 00:42:32 +01:00
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]
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},
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{
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"cell_type": "code",
|
2019-11-17 12:26:43 +01:00
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"execution_count": 11,
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"metadata": {},
|
2017-01-12 00:42:32 +01:00
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"outputs": [
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{
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"data": {
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2019-11-17 12:26:43 +01:00
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"text/plain": "<Figure size 432x288 with 1 Axes>"
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},
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"metadata": {
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"needs_background": "light"
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2017-01-12 00:42:32 +01:00
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},
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"output_type": "display_data"
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}
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],
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"source": [
|
2017-01-17 15:06:32 +01:00
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"n.plot_s_deg()"
|
2017-01-12 00:42:32 +01:00
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]
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},
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{
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"cell_type": "code",
|
2019-11-17 12:26:43 +01:00
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"execution_count": 12,
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"metadata": {},
|
2017-01-12 00:42:32 +01:00
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"outputs": [
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{
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"data": {
|
2019-11-17 12:26:43 +01:00
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"text/plain": "<Figure size 432x288 with 1 Axes>"
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},
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"metadata": {
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"needs_background": "light"
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2017-01-12 00:42:32 +01:00
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},
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"output_type": "display_data"
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}
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],
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"source": [
|
2017-01-17 15:06:32 +01:00
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"n.plot_s_db()"
|
2017-01-12 00:42:32 +01:00
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]
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},
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{
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|
"cell_type": "markdown",
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|
"metadata": {},
|
2019-11-17 12:26:43 +01:00
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|
"outputs": [],
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2017-01-12 00:42:32 +01:00
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"source": [
|
2019-11-17 12:26:43 +01:00
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|
"## read/write touchstone file"
|
2017-01-12 00:42:32 +01:00
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|
]
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},
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{
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"cell_type": "code",
|
2019-11-17 12:26:43 +01:00
|
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|
"execution_count": 13,
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|
|
|
|
"metadata": {},
|
2017-01-12 00:42:32 +01:00
|
|
|
"outputs": [],
|
|
|
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|
"source": [
|
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|
|
|
"n.write_touchstone('100mhz-lpf-s11')"
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]
|
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},
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{
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"cell_type": "code",
|
2019-11-17 12:26:43 +01:00
|
|
|
"execution_count": 14,
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [],
|
2017-01-12 00:42:32 +01:00
|
|
|
"source": [
|
2019-11-17 12:26:43 +01:00
|
|
|
"import skrf\n",
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|
"m = skrf.Network('100mhz-lpf-s11.s1p')"
|
2017-01-12 00:42:32 +01:00
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|
]
|
|
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},
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{
|
2019-11-17 12:26:43 +01:00
|
|
|
"cell_type": "markdown",
|
|
|
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|
"metadata": {},
|
|
|
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|
"outputs": [],
|
2017-01-12 00:42:32 +01:00
|
|
|
"source": [
|
2019-11-17 12:26:43 +01:00
|
|
|
"## read/write by skrf network format"
|
2017-01-12 00:42:32 +01:00
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2019-11-17 12:26:43 +01:00
|
|
|
"execution_count": 15,
|
|
|
|
|
"metadata": {},
|
2017-01-12 00:42:32 +01:00
|
|
|
"outputs": [],
|
|
|
|
|
"source": [
|
|
|
|
|
"n.write('100mhz-lpf')"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2019-11-17 12:26:43 +01:00
|
|
|
"execution_count": 17,
|
|
|
|
|
"metadata": {},
|
2017-01-12 00:42:32 +01:00
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
2019-11-17 12:26:43 +01:00
|
|
|
"text/plain": "1-Port Network: '', 1.0-300.0 MHz, 101 pts, z0=[50.+0.j]"
|
2017-01-12 00:42:32 +01:00
|
|
|
},
|
2019-11-17 12:26:43 +01:00
|
|
|
"execution_count": 17,
|
2017-01-12 00:42:32 +01:00
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"import skrf\n",
|
|
|
|
|
"skrf.read('100mhz-lpf.ntwk')"
|
|
|
|
|
]
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"metadata": {
|
|
|
|
|
"kernelspec": {
|
|
|
|
|
"display_name": "Python 2",
|
|
|
|
|
"language": "python",
|
|
|
|
|
"name": "python2"
|
|
|
|
|
},
|
|
|
|
|
"language_info": {
|
|
|
|
|
"codemirror_mode": {
|
|
|
|
|
"name": "ipython",
|
2019-11-17 12:26:43 +01:00
|
|
|
"version": 3
|
2017-01-12 00:42:32 +01:00
|
|
|
},
|
|
|
|
|
"file_extension": ".py",
|
|
|
|
|
"mimetype": "text/x-python",
|
|
|
|
|
"name": "python",
|
|
|
|
|
"nbconvert_exporter": "python",
|
2019-11-17 12:26:43 +01:00
|
|
|
"pygments_lexer": "ipython3",
|
|
|
|
|
"version": "3.7.5"
|
2017-01-12 00:42:32 +01:00
|
|
|
},
|
|
|
|
|
"toc": {
|
|
|
|
|
"toc_cell": false,
|
|
|
|
|
"toc_number_sections": true,
|
|
|
|
|
"toc_threshold": 6,
|
|
|
|
|
"toc_window_display": false
|
|
|
|
|
},
|
|
|
|
|
"widgets": {
|
|
|
|
|
"state": {},
|
|
|
|
|
"version": "1.1.2"
|
|
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"nbformat": 4,
|
|
|
|
|
"nbformat_minor": 1
|
2019-11-17 12:26:43 +01:00
|
|
|
}
|
