[Plot a stacked bar graph using plotly offline mode]

[niks250891]

I am following this link to study https://plot.ly/python/bar-charts/ plot graphs in python using plotly.

As per my requirement ,I have sample data of the form

data=[                                               
      ('2018-04-17','22:00:00',['p1',5],['p2',10],['p3',15]),
      ('2018-04-18','20:00:00',['p3',5],['p4',10],['p3',15])
     ]

So I want to create a stacked bar graph of this data using plotly. On X-axis,first two values of tuple will be plotted(date and time).

On y-axis , a stacked graph having three values with bar height in link with the value(which will be shown on mouse hover).As total 4 values are there in this data(p1,p2,p3,p4),four different colors will be used for them.

What I have tried : I basically tried hit and trial using the methods shown like take two data values using plotly offline graph object.But I am not able to draw it.

Can Anyone please provide suggestions for stacked histogram of these data.I have to view the generated file in browser and I am using plotly in offline mode.

What code I tried :

    import plotly
    import plotly.graph_objs as go

    plotly.offline.init_notebook_mode(connected=True)


    data=[                                               
          ('2018-04-17','22:00:00',['p1',5],['p2',10],['p3',15]),
          ('2018-04-18','20:00:00',['p3',5],['p4',10],['p3',15])
         ]


    x_axis=[]
    y_axis=[]
    plot_data=[]
    for d in data
        date,time=d[0],d[1]
        x_axis.append(d[0]+" "+d[1])
        for j in range (2, len(d))
            y_axis.append(d[j][1])

        trace[]=go.Bar(
                x=x_axis,
                y=y_axis)
        plot_data.append(trace)

    plotly.offline.plot(plot_data, filename='stacked-bar')