Issue
NAME="Ubuntu"
VERSION="20.04.3 LTS (Focal Fossa)"
Streamlit, version 1.12.0
Python 3.8.10
plotly==5.10.0
I have a Streamlit
dashboard using plotly
express to make the chart. The dashboard allows a user to select different options, and the chart re-creates using those options on the fly.
One of the options is to add a trendline, however I only found way to do this when creating the fig (as an option to the px.scatter()
)
Is there a way to add the trendline after the fig = px.scatter
has been called?
Current code:
def control_chart_by_compound(
df,
x_column_name,
y_column_name,
trendline = False,
trendlinetype = "ols",
trendline_scope="overall",
):
def _trendlinescatter():
try:
assert trendlinetype == "ols", "Only Ordinary Least Squares (trendlinetype = 'ols') is currently supported."
fig = px.scatter(x=x_column_name,
y=y_column_name,
labels={
"x": x_column_name,
"y": y_column_name,
color_column_name: "Compounds"
},
trendline = trendlinetype,
trendline_scope = trendline_scope,
)
return fig
except Exception as e:
err = "Unfortunately I'm unable to create a scatter plot with trendline from columns '{}' and '{}'. (ERROR: {})".format(x_column_name, y_column_name, e)
print(err)
return _notrendlinescatter()
def _notrendlinescatter():
fig = px.scatter(df,
x=x_column_name,
y=y_column_name,
labels={
"x": x_column_name,
"y": y_column_name,
color_column_name: "Compounds"
},
)
return fig
if trendline != False:
fig = _trendlinescatter()
else:
fig = _notrendlinescatter()
Solution
I have a workaround to solve this issue which is adding the trendline
and then hide it by default and let the user display it. Try to change the value of withTrendline
:
import plotly.express as px
withTrendline = False # value comes from the callback
df = px.data.tips()
fig = px.scatter(df, x="total_bill", y="tip", trendline="ols")
fig.update_traces(visible=withTrendline, selector=dict(mode="lines"))
fig.show()
Answered By - Hamzah
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