server or client?

1 seconds

` 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() `

but I cannot compare between them

I think we noticed it, and this will be fixed in the next server update (again, some plotly.js issue there)

AgitatedDove14

and thats from the ui:

I can see the plots correctly 🙂 thanks

client

AgitatedDove14 instead of using the clear ml

AgitatedDove14 doesnt work with clear ml version as well. The X axis is shown as int numbers intead of timestamp

but I cannot compare between them :A, what do you think about that? AgitatedDove14

weird..

ohh cool even with report_scatter2d?

I'm working with cloned task, can it be related to that?

maybe its because im still using trains server?

It worked! what was the difference?

https://github.com/allegroai/clearml/commit/6b8f21b30e005d50da35e2e5a5ded8782bce2f53

SweetGiraffe8 Works when I'm using plotly...
Can you please copy paste the code with the plotly, it's probably something I'm missing

AgitatedDove14 that is what i Have in the notebook

The bug was fixed 🙂

can i see the relevant git commit?

can you send me a screen shot from the ui?

where x is timestamp

Feel free to open an issue on GitHub making sure this is not forgotten

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

SweetGiraffe8

so can you send me some code examples?