[Python] Delta/Difference Histogram

Minimum working example:

import pandas as pd
import plotly.graph_objects as go

# Example data
data = {
"data-a": [10, 15, 10, 20, 25, 30, 15, 10, 20, 25],
"data-b": [12, 18, 14, 22, 28, 35, 17, 13, 21, 27]
}
df = pd.DataFrame(data)

# Create the figure
fig = go.Figure()
fig.add_trace(go.Histogram(x=df["data-a"], name="Data A"))
fig.add_trace(go.Histogram(x=df["data-b"], name="Data B", opacity=0.5))
fig.update_layout(font_size=15)
fig.update_yaxes(title_text="Count")
fig.show()


The result:



I now want to create a new histogram that is basically depicting the difference in counts between both histograms (same X-axis and bins), so in this case that should be something like:



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