Support log axes for `histogram2dcontour` plots

No log scale works:

import plotly.express as px
import plotly.graph_objects as go


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

fig = go.Figure()

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

contour = go.Histogram2dContour(x=df.gdpPercap, y=df.lifeExp)
fig.add_trace(contour)

fig.show()

With log scale:

import plotly.express as px
import plotly.graph_objects as go


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

fig = go.Figure()

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

contour = go.Histogram2dContour(x=df.gdpPercap, y=df.lifeExp)
fig.add_trace(contour)

fig.update_xaxes(type="log")
fig.update_yaxes(type="log")
fig.show()

复现提供的、使用 Histogram2dContour 以及对数缩放 x 轴和 y 轴的 Python 示例，然后跟踪 Plotly 图形堆栈中等高线图的坐标轴处理。完成的标准是等高线图的对数缩放坐标轴能够正确渲染，并且回归覆盖率能够验证该行为。