First Commit: simple anomaly detection
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## import data from InfluxDB\n",
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"\n",
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"Note: you must run `influxd` in your terminal"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"from influxdb import InfluxDBClient\n",
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"import pandas as pd\n",
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"\n",
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"client = InfluxDBClient(host='localhost', port=8086)\n",
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"\n",
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"client.switch_database('ISS')\n",
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"\n",
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"query = \"SELECT * FROM \\\"EP_Battery.Thing_HMD8310\\\"\"\n",
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"\n",
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"result = client.query(query)\n",
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"\n",
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"points = list(result.get_points())\n",
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"\n",
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"df = pd.DataFrame(points)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 21,
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"metadata": {},
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"outputs": [],
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"source": [
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"df.to_csv('output.csv')"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.12"
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},
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"orig_nbformat": 4
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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