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Python - Add compare support to activity series (#4349)

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All activity functions working with data series,
both standard and xdata, now include an optional
compareindex=-1 parameter.
When compare mode is enabled compareindex parameter
is used as an index to get data for the corresponding
compare item, be an activity or an interval.
Sample chart contributed by Marcen at the users forum
Fixes #4346
This commit is contained in:
Alejandro Martinez
2023-04-11 18:06:39 -03:00
committed by GitHub
parent 26bf31a3d6
commit 1ecc6f9ec9
8 changed files with 254 additions and 212 deletions
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test/charts/WattOverDuration-PythonCompare.gchart Normal file
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{
"CHART":{
"VERSION":"1",
"VIEW":"analysis",
"TYPE":"43",
"PROPERTIES":{
"title":"Watt over Duration ",
"subtitle":" ",
"widthFactor":"2",
"heightFactor":"2",
"style":"0",
"resizable":"0",
"script":"##\n## Python program will run on selection.\n##\n## \nimport plotly.graph_objects as go\nimport pandas as pd\nimport tempfile\nimport pathlib\nimport plotly\nimport time\nimport datetime\n\n# Define tempory file\ntemp_file = tempfile.NamedTemporaryFile(mode=\"w+t\", prefix=\"GC_\", suffix=\".html\", delete=False)\n\n## Create dataframe\ndf = pd.DataFrame()\n\n## Get GC Data for activity and metrics\nmetricsAll = GC.activityMetrics(compare=True)\n\ntime = []\nfor i in range(0, len(metricsAll)):\n time.append(str(datetime.timedelta(seconds=int(metricsAll[i][0]['Duration']))))\n df.at[i, 'dateLocal'] = metricsAll[i][0]['date'].strftime('%a %x')\n df.at[i, 'colors'] = metricsAll[i][1]\n\ndf['time'] = time\n\nduration = []\npower = []\nisPower = []\nfor i in range(0, len(metricsAll)):\n activityAll = GC.activity(compareindex =i)\n sec = list(activityAll['seconds'])\n\n durationTemp = []\n for seconds in sec:\n minutes, seconds = divmod(seconds, 60)\n hours, minutes = divmod(minutes, 60)\n durationTemp.append(\"%02i:%02i:%02i\" % (hours, minutes, seconds))\n\n if 'power' in activityAll:\n power.append(list(activityAll['power']))\n isPower.append(1)\n\n else:\n power.append(list([0]))\n isPower.append(0)\n\n duration.append(durationTemp)\n\n## Add Data to the dataframe\ndf['duration'] = duration\ndf['power'] = power\ndf['isPower'] = isPower\n\n## Filter out data without power\ndfFilter = df.loc[df['isPower'] > 0]\n\n## Plot Data\nfig = go.Figure()\n\nfor i in dfFilter.index:\n fig.add_trace(go.Scatter(\n x = dfFilter['duration'][i],\n y = dfFilter['power'][i],\n mode = 'lines',\n name = str(dfFilter['dateLocal'][i]) +\n \"<br>\" 'Duration: ' +\n str(dfFilter['time'][i]),\n\n marker_color = dfFilter['colors'][i],\n hovertemplate =\n '<b>Power<\/b>: %{y} watts' +\n '<br><b>Duration<\/b>: %{x}',\n ))\n\nfig.update_xaxes(\n tickmode = 'auto',\n nticks = 10,\n ticks = \"outside\",\n tickwidth = 2,\n ticklen = 10,\n tickcolor = 'white',\n linewidth = 2,\n linecolor = 'white',\n)\n\n## Update layout properties\nfig.update_layout(\n xaxis_title=\"Duration\",\n yaxis_title=\"Watts\",\n template='plotly_dark',\n xaxis_showgrid=False,\n yaxis_showgrid=True,\n #hovermode=\"x unified\",\n)\n\n## Prepare Plot\nplotly.offline.plot(fig, auto_open=False, filename=temp_file.name)\n\n## Load the webpage\nGC.webpage(pathlib.Path(temp_file.name).as_uri())\n ",
"state":" ",
"showConsole":"0",
"asWeb":"1",
"__LAST__":"1"
}
}
}