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Add Minor Log Labels example

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doc/python
- log-plot.md

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`‎doc/python/log-plot.md`

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Original file line number	Diff line number	Diff line change
`@@ -6,7 +6,7 @@ jupyter:`
`6`	`6`	`extension: .md`
`7`	`7`	`format_name: markdown`
`8`	`8`	`format_version: '1.3'`
`9`		`- jupytext_version: 1.13.7`
	`9`	`+ jupytext_version: 1.17.2`
`10`	`10`	`kernelspec:`
`11`	`11`	`display_name: Python 3 (ipykernel)`
`12`	`12`	`language: python`
`@@ -20,7 +20,7 @@ jupyter:`
`20`	`20`	`name: python`
`21`	`21`	`nbconvert_exporter: python`
`22`	`22`	`pygments_lexer: ipython3`
`23`		`- version: 3.9.7`
	`23`	`+ version: 3.12.4`
`24`	`24`	`plotly:`
`25`	`25`	`description: How to make Log plots in Python with Plotly.`
`26`	`26`	`display_as: scientific`
`@@ -80,6 +80,28 @@ fig.update_xaxes(minor=dict(ticks="inside", ticklen=6, showgrid=True))`
`80`	`80`	`fig.show()`
`81`	`81`	```
`82`	`82`
	`83`	`+#### Controlling Minor Log Labels`
	`84`	`+`
	`85`	`+New in 6.3`
	`86`	`+`
	`87`	+By default, minor log labels use small digits, as shown in the previous example. You can control how minor log labels are displayed using the `minorloglabels` attribute. Set to `"complete"` to show complete digits, or `None` for no labels.
	`88`	`+`
	`89`	+```python
	`90`	`+import plotly.express as px`
	`91`	`+df = px.data.gapminder().query("year == 2007")`
	`92`	`+`
	`93`	`+fig = px.scatter(`
	`94`	`+ df, x="gdpPercap",`
	`95`	`+ y="lifeExp",`
	`96`	`+ hover_name="country",`
	`97`	`+ log_x=True, range_x=[1,100000], range_y=[0,100])`
	`98`	`+`
	`99`	`+fig.update_xaxes(minor=dict(ticks="inside", ticklen=6, showgrid=True),`
	`100`	`+ minorloglabels="complete")`
	`101`	`+`
	`102`	`+fig.show()`
	`103`	+```
	`104`	`+`
`83`	`105`	`### Logarithmic Axes with Graph Objects`
`84`	`106`
`85`	`107`	If Plotly Express does not provide a good starting point, it is also possible to use [the more generic `go.Figure` class from `plotly.graph_objects`](/python/graph-objects/).

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