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bite/esp32/notebook/ESP32_1 RSSI-HALL.ipynb

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Add Jupyter notebook example for plotting telemetry
2021-03-24 23:25:14 +01:00
{
"cells": [
{
"cell_type": "code",
Hyperscale (#25) * Fix a regression in the hyperscale creation * Clean the jupyter notebook [skip ci] * Fix typos [skip ci] * Improve date args in API
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"execution_count": null,
"id": "endless-short",
Add Jupyter notebook example for plotting telemetry
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"metadata": {},
Hyperscale (#25) * Fix a regression in the hyperscale creation * Clean the jupyter notebook [skip ci] * Fix typos [skip ci] * Improve date args in API
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"outputs": [],
Add Jupyter notebook example for plotting telemetry
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"source": [
Update the notebook
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"# -*- coding: utf-8 -*-\n",
"# vim: tabstop=4 shiftwidth=4 softtabstop=4\n",
"#\n",
"# BITE - A Basic/IoT/Example\n",
"# Copyright (C) 2020-2021 Daniele Viganò <daniele@vigano.me>\n",
"#\n",
"# BITE is free software: you can redistribute it and/or modify\n",
"# it under the terms of the GNU Affero General Public License as published by\n",
"# the Free Software Foundation, either version 3 of the License, or\n",
"# (at your option) any later version.\n",
"#\n",
"# BITE is distributed in the hope that it will be useful,\n",
"# but WITHOUT ANY WARRANTY; without even the implied warranty of\n",
"# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the\n",
"# GNU Affero General Public License for more details.\n",
"#\n",
"# You should have received a copy of the GNU Affero General Public License\n",
"# along with this program. If not, see <http://www.gnu.org/licenses/>.\n",
"\n",
Add Jupyter notebook example for plotting telemetry
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"import requests\n",
"import pandas as pd\n",
"import ipywidgets as widgets\n",
"import plotly.graph_objects as go\n",
"\n",
Hyperscale (#25) * Fix a regression in the hyperscale creation * Clean the jupyter notebook [skip ci] * Fix typos [skip ci] * Improve date args in API
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"from datetime import date, datetime\n",
"from IPython.display import display"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "running-darwin",
"metadata": {},
"outputs": [],
"source": [
Add Jupyter notebook example for plotting telemetry
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"serial = widgets.Text(\n",
" value='esp32_1',\n",
" placeholder='Type something',\n",
" description='Serial:',\n",
" disabled=False\n",
")\n",
"date_from = widgets.DatePicker(\n",
" description='From Date',\n",
" disabled=False,\n",
" value=date.today()\n",
")\n",
"date_to = widgets.DatePicker(\n",
" description='To Date',\n",
" disabled=False,\n",
Hyperscale (#25) * Fix a regression in the hyperscale creation * Clean the jupyter notebook [skip ci] * Fix typos [skip ci] * Improve date args in API
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" value=date.today()\n",
Add Jupyter notebook example for plotting telemetry
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")\n",
"display(serial)\n",
"display(date_from)\n",
"display(date_to)"
]
},
{
"cell_type": "code",
Hyperscale (#25) * Fix a regression in the hyperscale creation * Clean the jupyter notebook [skip ci] * Fix typos [skip ci] * Improve date args in API
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"execution_count": null,
Add Jupyter notebook example for plotting telemetry
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"id": "designing-milwaukee",
"metadata": {},
"outputs": [],
"source": [
Hyperscale (#25) * Fix a regression in the hyperscale creation * Clean the jupyter notebook [skip ci] * Fix typos [skip ci] * Improve date args in API
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"date_from = datetime.combine(date_from.value, datetime.min.time())\n",
"date_to = datetime.combine(date_to.value, datetime.max.time())\n",
"\n",
Add Jupyter notebook example for plotting telemetry
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"try:\n",
" r = requests.get(\"http://localhost/telemetry/{serial}/{date_from}/{date_to}/\".format(\n",
" serial=serial.value,\n",
Hyperscale (#25) * Fix a regression in the hyperscale creation * Clean the jupyter notebook [skip ci] * Fix typos [skip ci] * Improve date args in API
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" date_from=date_from,\n",
" date_to=date_to\n",
Add Jupyter notebook example for plotting telemetry
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" ))\n",
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" \n",
Add Jupyter notebook example for plotting telemetry
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"except requests.exceptions.RequestException as e:\n",
" raise SystemExit(e)\n",
"\n",
Hyperscale (#25) * Fix a regression in the hyperscale creation * Clean the jupyter notebook [skip ci] * Fix typos [skip ci] * Improve date args in API
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"r.raise_for_status()\n",
"\n",
"df = pd.json_normalize(r.json())\n",
"if 'time' in df:\n",
" index = pd.to_datetime(df['time'])\n",
" df = df.set_index(index)\n",
" df = df.resample('5min').agg(['min', 'max', 'mean'])\n",
"else:\n",
" print('No data to compute')"
Add Jupyter notebook example for plotting telemetry
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]
},
{
"cell_type": "code",
Hyperscale (#25) * Fix a regression in the hyperscale creation * Clean the jupyter notebook [skip ci] * Fix typos [skip ci] * Improve date args in API
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"execution_count": null,
Add Jupyter notebook example for plotting telemetry
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"id": "related-place",
"metadata": {},
Hyperscale (#25) * Fix a regression in the hyperscale creation * Clean the jupyter notebook [skip ci] * Fix typos [skip ci] * Improve date args in API
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"outputs": [],
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"source": [
"fig = go.Figure([go.Scatter(x=df.index, y=df['payload.wifi-rssi']['max'], showlegend=False),\n",
Hyperscale (#25) * Fix a regression in the hyperscale creation * Clean the jupyter notebook [skip ci] * Fix typos [skip ci] * Improve date args in API
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" go.Scatter(x=df.index, y=df['payload.wifi-rssi']['mean'], name=\"WiFI RSSI\"),\n",
" go.Scatter(x=df.index, y=df['payload.wifi-rssi']['min'], showlegend=False),\n",
Minor improvements to the notebook
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" go.Scatter(x=df.index, y=df['payload.hall']['max'], showlegend=False),\n",
Hyperscale (#25) * Fix a regression in the hyperscale creation * Clean the jupyter notebook [skip ci] * Fix typos [skip ci] * Improve date args in API
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" go.Scatter(x=df.index, y=df['payload.hall']['mean'], name=\"Hall effect\"),\n",
" go.Scatter(x=df.index, y=df['payload.hall']['min'], showlegend=False)])\n",
Minor improvements to the notebook
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"fig.show()"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "interested-silence",
"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": "3.9.2"
},
"widgets": {
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"6f1673f654b14011aa8b7aaf315b77e8": {
Update the notebook
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"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "DescriptionStyleModel",
"state": {
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}
},
Minor improvements to the notebook
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"73e5b69afa3a4bfda9ebba619d36f926": {
Update the notebook
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"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "DescriptionStyleModel",
"state": {
"description_width": ""
}
},
Minor improvements to the notebook
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"796774d19b9843178e87ea97c1efd69f": {
Update the notebook
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"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
Minor improvements to the notebook
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"model_name": "DescriptionStyleModel",
Update the notebook
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"state": {
Minor improvements to the notebook
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"description_width": ""
Update the notebook
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}
},
Minor improvements to the notebook
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"798e515187274617bc65df9fc4905065": {
Update the notebook
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"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
"state": {}
},
Minor improvements to the notebook
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"7f0bed81c5914082886e91ee4d1cb19e": {
Update the notebook
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"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "DescriptionStyleModel",
"state": {
"description_width": ""
}
},
Minor improvements to the notebook
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Update the notebook
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"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "DatePickerModel",
"state": {
Minor improvements to the notebook
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"description": "To Date",
Update the notebook
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"disabled": false,
Minor improvements to the notebook
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"layout": "IPY_MODEL_be930797fbab4501865a8d753fc82881",
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Update the notebook
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"value": {
Minor improvements to the notebook
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"date": 25,
Update the notebook
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"month": 2,
"year": 2021
}
}
},
Minor improvements to the notebook
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Update the notebook
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"model_module": "@jupyter-widgets/controls",
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},
Minor improvements to the notebook
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Update the notebook
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"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "DatePickerModel",
"state": {
Minor improvements to the notebook
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"description": "To Date",
Update the notebook
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"disabled": false,
Minor improvements to the notebook
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"layout": "IPY_MODEL_27ddcc76d0954ca8bb786e18f6add137",
"style": "IPY_MODEL_ea3710cdbac84d95a5698eed13342149",
Update the notebook
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"value": {
Minor improvements to the notebook
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"date": 25,
Update the notebook
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"month": 2,
"year": 2021
}
}
},
Minor improvements to the notebook
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Update the notebook
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"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "DatePickerModel",
"state": {
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"disabled": false,
Minor improvements to the notebook
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"layout": "IPY_MODEL_1edc09258c11486ab4a2069aa7258f45",
"style": "IPY_MODEL_6f1673f654b14011aa8b7aaf315b77e8",
Update the notebook
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"value": {
"date": 25,
"month": 2,
"year": 2021
}
}
},
Minor improvements to the notebook
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Update the notebook
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"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "TextModel",
"state": {
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Minor improvements to the notebook
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"layout": "IPY_MODEL_f0c4e8f4dd704cc1915c148293953e2e",
Update the notebook
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Minor improvements to the notebook
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Update the notebook
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Minor improvements to the notebook
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"c3fb12046c5748a1a4416805e2a2e316": {
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Update the notebook
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"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
"model_name": "DatePickerModel",
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Minor improvements to the notebook
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Update the notebook
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"value": {
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"month": 2,
"year": 2021
}
}
},
Minor improvements to the notebook
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Update the notebook
2021-03-24 23:32:19 +01:00
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
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Minor improvements to the notebook
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Update the notebook
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"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
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Minor improvements to the notebook
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Update the notebook
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"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
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},
Minor improvements to the notebook
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Update the notebook
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"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
"model_name": "LayoutModel",
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},
Minor improvements to the notebook
2021-03-25 00:15:44 +01:00
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Update the notebook
2021-03-24 23:32:19 +01:00
"model_module": "@jupyter-widgets/controls",
"model_module_version": "1.5.0",
Minor improvements to the notebook
2021-03-25 00:15:44 +01:00
"model_name": "TextModel",
Update the notebook
2021-03-24 23:32:19 +01:00
"state": {
Minor improvements to the notebook
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"description": "Serial:",
"layout": "IPY_MODEL_547f5bcad26f43afa93b827e89803237",
"placeholder": "Type something",
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"value": "esp32_1"
Update the notebook
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}
},
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"model_module": "@jupyter-widgets/base",
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Minor improvements to the notebook
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"value": {
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"month": 2,
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}
}
},
Update the notebook
2021-03-24 23:32:19 +01:00
"fdcc9a1e68c34653abff829b95bdf6ff": {
"model_module": "@jupyter-widgets/base",
"model_module_version": "1.2.0",
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Minor improvements to the notebook
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},
"fe9cfdeb23104476a3bbc9afaeaf9838": {
"model_module": "@jupyter-widgets/controls",
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"model_name": "DatePickerModel",
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"layout": "IPY_MODEL_798e515187274617bc65df9fc4905065",
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"value": {
"date": 25,
"month": 2,
"year": 2021
}
}
Update the notebook
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}
},
"version_major": 2,
"version_minor": 0
}
Add Jupyter notebook example for plotting telemetry
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}
},
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}
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