Should work in all cases, plotly/matplotlib/scalar_rerport

AgitatedDove14 that is what i Have in the notebook

maybe its because im still using trains server?

can you send me a screen shot from the ui?

can i see the relevant git commit?

where x is timestamp

` 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() `

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

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

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)

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

and thats from the ui:

weird..

client

server or client?

It worked! what was the difference?

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

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

ohh cool even with report_scatter2d?

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

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

1 seconds

I can see the plots correctly 🙂 thanks

AgitatedDove14

AgitatedDove14 instead of using the clear ml

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

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

so can you send me some code examples?