I'm a newbie in Plotly and I was wondering if there is a way to specify where a new trace needs to be centered within the Figure object.
Just to be more clear, this is an example:
import plotly.express as px
import plotly.graph_objects as go
df = pd.DataFrame(something)
fig = go.Figure()
for i in [40,45,50]:
fig.add_shape(
go.layout.Shape(
type='line',
xref='x',
yref='y',
x0=line_data[i]["min"],
y0=i,
x1=line_data[i]["max"],
y1=i,
),
)
fig.add_trace(
go.Scatter(
x=df.ColA.values,
y=df.ColB.values,
mode='markers',
)
)
My goal is to build an histogram of the points in each horizontal line.
I don't know if there is a better and faster way, but my idea was to add more traces, each one with an histogram, and then center those traces in each line. Is there a way to do it? Maybe some position parameter for a trace, like (xcenter=7.5, ycenter=50)?
import numpy as np
import plotly.graph_objects as go
df = pd.DataFrame({40:np.random.normal(5,2, 200).astype(int),50:np.random.normal(6,2, 200).astype(int),60:np.random.normal(6.5,2, 200).astype(int)})
# change to frequency of observed values
df2 = df[40].value_counts().to_frame().join(df[50].value_counts(), how="outer").join(df[60].value_counts(), how="outer")
# plot bar of frequency, setting base based on observation
fig = go.Figure([go.Bar(x=df2.index, y=df2[c]/len(df2), base=c, name=c) for c in df2.columns])
fig.update_layout(barmode="overlay")