two_traces.ipynb

import pandas as pd
from plotly.offline import download_plotlyjs, init_notebook_mode, plot, iplot
import plotly.graph_objs as go

# initialize plotly to plot inside of Jupyter notebook
init_notebook_mode(connected=True)

# load the fridge.log into a pandas dataframe
filePath = 'fridge.log'
df = pd.read_csv(filePath)

# extact columns (these are not raw numbers yet)
mySeconds = df[['Seconds']]
myTemperature = df[['Temperature']]
myHumidity = df[['Humidity']]

# get the actual numbers from each column
mySeconds2 = mySeconds.iloc[:]['Seconds']
myTemperature2 = myTemperature.iloc[:]['Temperature']
myHumidity2 = myHumidity.iloc[:]['Humidity']

# set up two traces to plot in plotly
trace1 = go.Scatter(
    x=mySeconds2,
    y=myTemperature2,
    name='Temperature'
)
trace2 = go.Scatter(
    x=mySeconds2,
    y=myHumidity2,
    name='Humidity',
    yaxis='y2'
)

data = [trace1, trace2]

# make a plotly layout
layout = go.Layout(
    title='Temperature And Humidity',
    yaxis=dict(
        title='Temperature (deg celcius)',
        titlefont=dict(
            # this is same as default plot color #1
            color='#1f77b4'
        ),
        tickfont=dict(
            # this is same as default plot color #1
            color='#1f77b4'
        )
    ),
    yaxis2=dict(
        title='Humidity (%)',
        #titlefont=dict(
        #    color='rgb(148, 103, 189)'
        #),
        #tickfont=dict(
        #    color='rgb(148, 103, 189)'
        #),
        titlefont=dict(
            # this is same as default plot color #2
            color='#ff7f0e'
        ),
        tickfont=dict(
            # this is same as default plot color #2
            color='#ff7f0e'
        ),
        overlaying='y',
        side='right'
    )
)

# plot with plotly
fig = go.Figure(data=data, layout=layout)
plot_url = iplot(fig, filename='multiple-axes-double')