I am trying to put mean as a trendline in the scatter plot
but looking at the documentation Linear and non-linear trendlines in Python, there is no trendline mean, any suggestion on how to do it?
import plotly.express as px
import pandas as pd
df = pd.DataFrame({‘date’ : [‘01/01/2022’,‘01/01/2022’,‘01/01/2022’,‘01/01/2022’,‘01/01/2022’,‘01/01/2022’,
‘02/01/2022’,‘02/01/2022’,‘02/01/2022’,‘02/01/2022’,
‘03/01/2022’,‘03/01/2022’,‘03/01/2022’,‘03/01/2022’],
‘value’: [12,15,5,9,22,27,12,16,6,2,18,16,17,19]})df[‘date’] = pd.to_datetime(df[‘date’])
fig = px.scatter(df, x=“date”, y=“value”, trendline=“rolling”, trendline_options=dict(window=df.value.count())
fig.show()
would something like rolling, window = y.count() make it?