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Diffstat (limited to 'prilohy/web/Untitled.ipynb')
| -rw-r--r-- | prilohy/web/Untitled.ipynb | 171 |
1 files changed, 0 insertions, 171 deletions
diff --git a/prilohy/web/Untitled.ipynb b/prilohy/web/Untitled.ipynb deleted file mode 100644 index 0e52830..0000000 --- a/prilohy/web/Untitled.ipynb +++ /dev/null @@ -1,171 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 46, - "id": "62087531-441f-4c1a-b182-053ad5e944ae", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "len 26\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "f283310699e6411fac48d22e6f8cdd8f", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "FigureWidget({\n", - " 'data': [{'hovertemplate': ('temp=%{marker.size}<br>lati=%{' ... '%{marker.color}<extra></extra>'),\n", - " 'lat': {'bdata': ('oS+9/bmcSEBQVMkPu5xIQKBF1QC8nE' ... 'y3nEhA2OTuSLycSECyG668wZxIQA=='),\n", - " 'dtype': 'f8'},\n", - " 'legendgroup': '',\n", - " 'lon': {'bdata': ('cayL22iQMEBxlTGCaZAwQEBK4mhrkD' ... 'cdkDBAn1sYhBqQMEBApnNNGpAwQA=='),\n", - " 'dtype': 'f8'},\n", - " 'marker': {'color': {'bdata': ('AAAAAAAAAABlc3ISjHuhv7AgzVg0nb' ... '3pVfK/iAuZW7wo879EZYnvQIzzvw=='),\n", - " 'dtype': 'f8'},\n", - " 'coloraxis': 'coloraxis',\n", - " 'opacity': 0.5,\n", - " 'size': {'bdata': ('AAAAAAAAPkAAAAAAAAA+QAAAAAAAAD' ... 'AAAD5AAAAAAAAAPkAAAAAAAAA+QA=='),\n", - " 'dtype': 'f8'},\n", - " 'sizemode': 'area',\n", - " 'sizeref': np.float64(0.3)},\n", - " 'mode': 'markers',\n", - " 'name': '',\n", - " 'showlegend': False,\n", - " 'subplot': 'map',\n", - " 'type': 'scattermap',\n", - " 'uid': '2f0753e7-5993-4855-bcc8-6a5dbc5e62ec'}],\n", - " 'layout': {'coloraxis': {'colorbar': {'title': {'text': 'rssi'}},\n", - " 'colorscale': [[0.0, 'rgb(0,0,131)'], [0.2,\n", - " 'rgb(0,60,170)'], [0.4,\n", - " 'rgb(5,255,255)'], [0.6,\n", - " 'rgb(255,255,0)'], [0.8,\n", - " 'rgb(250,0,0)'], [1.0, 'rgb(128,0,0)']]},\n", - " 'height': 800,\n", - " 'legend': {'itemsizing': 'constant', 'tracegroupgap': 0},\n", - " 'map': {'center': {'lat': np.float64(49.22425434846154), 'lon': np.float64(16.56396273223077)},\n", - " 'domain': {'x': [0.0, 1.0], 'y': [0.0, 1.0]},\n", - " 'style': 'open-street-map',\n", - " 'zoom': 13},\n", - " 'mapbox': {'center': {'lat': np.float64(49.22425434846154), 'lon': np.float64(16.56396273223077)},\n", - " 'style': 'open-street-map',\n", - " 'zoom': 13},\n", - " 'margin': {'t': 60},\n", - " 'template': '...',\n", - " 'width': 800}\n", - "})" - ] - }, - "execution_count": 46, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import dash\n", - "import time\n", - "import sys\n", - "import json\n", - "import pandas as pd\n", - "import plotly.express as px\n", - "\n", - "\n", - "df = pd.DataFrame()\n", - "dg = pd.DataFrame(columns=['lati', 'long', 'alti', 'rssi', 'snr', 'rttt', 'temp', 'humi', 'pres', 'voc'], dtype=float)\n", - "\n", - "with open('save.csv') as f:\n", - " for i, line in enumerate(f):\n", - " dg.loc[i] = pd.Series(json.loads(line))\n", - " savepos = f.tell()\n", - "\n", - "dg = dg.fillna(0.0)\n", - "\n", - "print('len', len(dg.index))\n", - "fig = px.scatter_map(dg, lat='lati', lon='long',color=\"rssi\", size='temp',\n", - " size_max=10, map_style=\"open-street-map\", color_continuous_scale='jet', zoom=13, height=800, width=800)\n", - "\n", - "f2 = go.FigureWidget(fig)\n", - "\n", - "f2" - ] - }, - { - "cell_type": "code", - "execution_count": 52, - "id": "aee5d6bc-0590-4494-abd2-a1eaf28481b9", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{\"lati\": 49.232750116, \"long\": 16.565789814, \"alti\": NaN, \"rssi\": -8.493902113, \"snr\": 0.0, \"rttt\": NaN, \"temp\": 30.0, \"humi\": NaN, \"pres\": NaN, \"voc\": NaN}\n", - "\n", - "{\"lati\": 49.232391864, \"long\": 16.568253166, \"alti\": NaN, \"rssi\": -8.983527682, \"snr\": 0.0, \"rttt\": NaN, \"temp\": 30.0, \"humi\": NaN, \"pres\": NaN, \"voc\": NaN}\n", - "\n" - ] - } - ], - "source": [ - "#while True:\n", - "import time, threading\n", - "\n", - "def update():\n", - " global savepos\n", - " mi = max(dg.index)\n", - " with open('save.csv') as f:\n", - " f.seek(savepos)\n", - " for i, line in enumerate(f):\n", - " print(line)\n", - " dg.loc[mi+1+i] = pd.Series(json.loads(line)).fillna(0)\n", - " savepos = f.tell()\n", - "\n", - " f2.data[0]['lat'] = dg['lati']\n", - " f2.data[0]['lon'] = dg['long']\n", - " f2.data[0]['marker']['color'] = dg['rssi']\n", - " f2.data[0]['marker']['size'] = dg['temp']\n", - "\n", - " #time.sleep(1)\n", - " threading.Timer(1, update).start()\n", - "\n", - "update()" - ] - }, - { - "cell_type": "code", - "execution_count": 56, - "id": "65a5202a-8cfc-456a-a39d-52a0b2d9f739", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "venv", - "language": "python", - "name": "venv" - }, - "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 -} |