I’m trying to make a chart to show the status of on/off alarms over time. It should be one horizontal bar per alarm, where the colour is green when it’s activated and red when it’s not. It feels wrong to use a Gantt chart for this, as I’d need to create a lot of time events. I just want to supply it with dates and True or False.
import plotly.graph_objs as go
fig = go.FigureWidget()
activated = [True, False, False, True]
bar = fig.add_bar(y=[1, 2, 3, 4],
x=[1, 3, 2, 4],
marker={'color': ['green' if active else 'red' for active in activated]},
orientation='h')
fig
Thanks for the quick reply. The thing is that the bars should be continous, so for example if bar 1 was True from 0 to 1 and False from 1 to 4 it should be green from 0 to 1 and then red from 1 to 4.
The format i have is a csv with dates and True or False. So it should be like a time series.
To do this with dates, I think you would set the base property to the start date of the alarm, and then set the x value to the alarm duration in milliseconds.
I am also struggling to solve this issue, but I have a slightly different dataset I can’t find a solution to solve it with.
I have a dataset comprised of 14 columns representing 14 wind turbines. The values inside them are:
0 - for not available
1 - for part-time available
2 - for full-time available
I have approx 350k rows as the dataset represents a time-series with 10-min frequency.
I would like to plot a graph where each bar represents a different turbine, each bar spans across the whole timeframe and the status shoud show:
red - for 0
yellow - for 1
and green - for 2
I hope you could help me. I will be really grateful as your solution above with manually specified starting points and durations is impossible to apply.
In my case the duration of each event is 10-mins and its starting point follows the timeframe with the DateTime index.
I am looking for something similar to matplotlib eventplot.