What are Streaming API tokens in plotly?

Question

Recently, I have been working on data visualization using plotly. I have created a plot and I need to make a new plot. I have created 2 Streaming API tokens and added them to credentials file. I don't have any idea what these streaming tokens actually do. Can I use different streaming tokens to stream different plots, if yes please explain me how? Can I use same streaming token on multiple traces? Also, I would like to know the purpose of streaming tokens in plotly.

plotly streaming in python : https://plot.ly/python/streaming-tutorial/

Initially, I have created a plot with one streaming API token. Now, I want to create another separate plot. I need to be sure that new plot will not override first plot and for that I think streaming tokens can be used, although not completely sure.

Answer 1

Just to show you the work flow presented here . It requires you to setup the two different streams within your Plotly user profile.

stream_ids = tls.get_credentials_file()['stream_ids']

# Get stream id from stream id list 
stream_id_1 = stream_ids[0]
stream_id_2 = stream_ids[1]


# Make instance of stream id object 
stream_1 = go.Stream(
    token=stream_id_1,  # link stream id to 'token' key
    maxpoints=80      # keep a max of 80 pts on screen
)

stream_2 = go.Stream(
    token=stream_id_2,  # link stream id to 'token' key
    maxpoints=80      # keep a max of 80 pts on screen
)

# Initialize trace of streaming plot by embedding the unique stream_id
trace1 = go.Scatter(
    x=[],
    y=[],
    mode='lines+markers',
    stream=stream_1         # (!) embed stream id, 1 per trace

trace2 = go.Scatter(
    x=[],
    y=[],
    mode='lines+markers',
    stream=stream_2         # (!) embed stream id, 1 per trace
)

This should do the work for you. As mentioned before, it is neccessary to use an additionall stream for each additional plot you want to show.