Plotly: How to manually specify the label of an aggregated field in plotly.py

Question

In Plotly.py histogram and Density heatmaps an aggregation function (histfunc) such as sum or avg may be specified. The x and (unaggregated) y axis labels can be manually specified via the labels dict, but what about the label of the aggregated dimension?

How can the label of the aggregated dimension be manually specified?

import plotly.express as px

df = px.data.tips()
fig = px.histogram(
    df,
    x="total_bill",
    y="tip",
    histfunc="avg",
    labels={"total_bill": "Total bill", "tip": "Tip", "??": "Average tip"},
)
fig.show()

Update/Added

And what about the z axis (?) label for a density heatmap?

import plotly.express as px

df = px.data.iris()

fig = px.density_heatmap(
    df, x="petal_length", y="petal_width", z="sepal_length", histfunc="avg"
)
fig.show()

Answer 1

You can use the function update_layout to set y axis label. Example:

px.histogram(
    df,
    x="total_bill",
    y="tip",
    histfunc="avg",
    labels={"total_bill": "Total bill", "tip": "Tip", "??": "Average tip"},
).update_layout(yaxis_title="label for Y axis")