The bug was fixed 🙂

client

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

Should work in all cases, plotly/matplotlib/scalar_rerport

ohh cool even with report_scatter2d?

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

SweetGiraffe8
That might be it, could you test with the Demo server ?

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

AgitatedDove14 that is what i Have in the notebook

Hi SweetGiraffe8
could you try with the latest RC
pip install 0.17.5rc2

server or client?

so can you send me some code examples?

1 seconds

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

` 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() `

where x is timestamp

can you send me a screen shot from the ui?

AgitatedDove14

weird..

maybe its because im still using trains server?

SweetGiraffe8

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

I can see the plots correctly 🙂 thanks

can i see the relevant git commit?

and thats from the ui:

AgitatedDove14 instead of using the clear ml

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

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)

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

It worked! what was the difference?