Venue 2 - two locations in the same space

Venue 2 borrowed venue 10’s monitor and is running it in standalone mode. One question for them is how much temperature varies in one big space. This plot is just for convenience of being to see all sets of readings at once.

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# import ipywidgets as widgets
import pandas as pd
import plotly.express as px
import plotly.graph_objects as go   

# :TODO: general case, look for all the files with the same venue number and plot together,
# loop over them, and do this in the main book; get location from the file itself.
df1 = pd.read_csv("./venue-2/venue_2_with_device_4855191225C3.csv")
# df2 = pd.read_csv("./venue-2/venue_2h_with_device_58BF25DB81A1-unscaled.csv")
df3 = pd.read_csv("./venue-2/venue_2le_with_device_58BF25DB81A1.csv")
df1 = df1[(df1.temperature >-10)] # eliminate rogue data
# df2 = df2[(df2.temperature >-10)] # eliminate rogue data
df3 = df3[(df3.temperature >-10)] # eliminate rogue data


trace1 = go.Scatter(customdata=df1, 
                    y=df1['temperature'], 
                    x = df1['timestamp'], 
                    mode='lines', 
                    hoverinfo='all', 
                    name='worship space',
                    )

# trace2 = go.Scatter(customdata=df2, 
#                     y=df2['temperature'], 
#                     x = df2['timestamp'], 
#                     mode='lines', 
#                     hoverinfo='all', 
#                     name='hall',
#                     )

trace3 = go.Scatter(customdata=df3, 
                    y=df3['temperature'], 
                    x = df3['timestamp'], 
                    mode='lines', 
                    hoverinfo='all', 
                    name='by lectern',
                    )

g = go.FigureWidget(data=[trace1,trace3], # omit trace 2
                    layout = go.Layout(
                        yaxis=dict(range=[-3,25])
                    ))

fig = go.Figure(g)
fig.update_layout(showlegend=True, 
              autosize = True, 
              width=1000, 
              height=500,
)

fig.update_layout(
    hovermode='x unified',
   # range=[range_min, range_max],
    hoverlabel=dict(
        bgcolor="white",
        # font_size=16,
        font_family="Rockwell"
    )
)

#Add range slider
fig.update_layout(
    xaxis=dict(
        rangeselector=dict(
            buttons=list([
                dict(
                     label="All",
                     step="all"
                     ),
                                dict(count=1,
                     label="Hour",
                     step="hour",
                     stepmode="todate"),
                dict(count=1,
                     label="Day",
                     step="day",
                     stepmode="backward"),
                dict(count=7,
                     label="Week",
                     step="day",
                     stepmode="backward"),
                dict(count=1,
                     label="Year",
                     step="year",
                     stepmode="backward")
            ])
        ),
        rangeslider=dict(
            visible=True,
        ),
        type="date"
    )
)


#fig.add_hline(y=16, annotation_text='16C - usual minimum for children', annotation_font_color="blue", line_color='red', layer='above', line_dash='dash')
# fig.update_yaxes(range = [-5, dfCollatedDataSet['temperature'].max()+5])
fig.show()

/opt/hostedtoolcache/Python/3.8.18/x64/lib/python3.8/site-packages/jupyter_client/session.py:721: UserWarning: Message serialization failed with:
Out of range float values are not JSON compliant
Supporting this message is deprecated in jupyter-client 7, please make sure your message is JSON-compliant
  content = self.pack(content)