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I have problem with visualizing plots with command Scatter3d and timestamp. If select not timestamp, results good, but I need timestamp
view depended on angle:
if 1 curve will be supressed, than no plot at all
lines not fit to markers
my code:
import pandas as pd
import plotly.graph_objects as go
def plot_3d(Sample_name, fig):
df = pd.read_csv(Sample_name)
x_axis = pd.to_datetime(df["time"])
fig.add_trace(go.Scatter3d(x=x_axis, y=df['Wavenumbers'], z=df['IntensityClean'], name=Sample_name))
Sample_name_1 = "Iso 100 - Eth 0.csv"
Sample_name_2 = "bc3ef751-d859-42e0-a938-dd86677aa6a4.csv"
fig = go.Figure()
plot_3d(Sample_name_1, fig)
plot_3d(Sample_name_2, fig)
fig.show()
Versions: python 3.8, plotly 5.10, pandas 1.5.0
Browser: Edge(big problem), Chrome and Firefox(middle problem),
may be connected with: #799
probably it cannot handle date, just with time it work
The text was updated successfully, but these errors were encountered:
Hi - we are tidying up stale issues and PRs in Plotly's public repositories so that we can focus on things that are still important to our community. Since this one has been sitting for a while, I'm going to close it; if it is still a concern, please add a comment letting us know what recent version of our software you've checked it with so that I can reopen it and add it to our backlog. If you'd like to submit a PR, we'd be happy to prioritize a review, and if it's a request for tech support, please post in our community forum. Thank you - @gvwilson
Hello
I have problem with visualizing plots with command Scatter3d and timestamp. If select not timestamp, results good, but I need timestamp





view depended on angle:
if 1 curve will be supressed, than no plot at all
lines not fit to markers
my code:
used files:
bc3ef751-d859-42e0-a938-dd86677aa6a4.csv
Iso 100 - Eth 0.csv
Versions: python 3.8, plotly 5.10, pandas 1.5.0
Browser: Edge(big problem), Chrome and Firefox(middle problem),
may be connected with: #799
probably it cannot handle date, just with time it work
The text was updated successfully, but these errors were encountered: