` fig = go.Figure(data=go.Scatter(x=x, y=y, mode='markers'))
logger = cloned_task.get_logger()
logger.report_plotly(title="pnl", series="expected", iteration=0, figure=fig)
fig.show() `
SweetGiraffe8
That might be it, could you test with the Demo server ?
SweetGiraffe8 Works when I'm using plotly...
Can you please copy paste the code with the plotly, it's probably something I'm missing
Feel free to open an issue on GitHub making sure this is not forgotten
AgitatedDove14 doesnt work with clear ml version as well. The X axis is shown as int numbers intead of timestamp
AgitatedDove14 that is what i Have in the notebook
When I have:n = 20 duration = 1000 now = time.mktime(time.localtime()) timestamps = np.linspace(now, now + duration, n) dates = [dt.datetime.fromtimestamp(ts) for ts in timestamps] values = np.sin((timestamps - now) / duration * 2 * np.pi) fig = go.Figure(data=go.Scatter(x=dates, y=values, mode='markers')) task.get_logger().report_plotly( title="plotly", series="b", iteration=0, figure=fig)
Everything looks okay
Should work in all cases, plotly/matplotlib/scalar_rerport
can you send me a screen shot from the ui?
AgitatedDove14 instead of using the clear ml
maybe its because im still using trains server?
but I cannot compare between them :A, what do you think about that? AgitatedDove14
Hi SweetGiraffe8
could you try with the latest RCpip install 0.17.5rc2
I'm working with cloned task, can it be related to that?