Plotly log scale show full tick values

Question

Consider the code in the example which is

import plotly.express as px
df = px.data.gapminder().query("year == 2007")

fig = px.scatter(df, x="gdpPercap", y="lifeExp", hover_name="country", log_x=True)
fig.show()

and produces

Is it possible that the ticks in the x axis would show 2000, 20k and so on instead of 2, and the same for 3, 4 ... ?

Answer 1

• you can use https://plotly.com/python/tick-formatting/#tickmode--array
• below example takes into account it's geometric and only want one significant digit in axis How to round a number to significant figures in Python

import plotly.express as px
import numpy as np
import pandas as pd

df = px.data.gapminder().query("year == 2007")

fig = px.scatter(df, x="gdpPercap", y="lifeExp", hover_name="country", log_x=True)
fig.update_layout(
    xaxis={
        "tickmode": "array",
        "tickvals": pd.to_numeric(
            [f"{n:.1g}" for n in np.geomspace(1, df["gdpPercap"].max(), 15)]
        ),
    }
)