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Fix various typos (#4383)

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Found via `codespell -q 3 -S "*.pdf,*.slf,*.smf,*.ts,./deprecated,./contrib" -L ans,ded,nam,nd,parm,parms,serie `
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luzpaz
2024-03-25 19:46:26 -04:00
committed by GitHub
parent 16ccc43d7a
commit 67ac67c509
8 changed files with 10 additions and 10 deletions
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test/charts/WattOverDuration-PythonCompare.gchart
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@@ -10,7 +10,7 @@
"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 ",
"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 temporary 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",