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added example about facet_col_wrap, and one example for disabling axis sharing #166

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Nov 12, 2019
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added example about facet_col_wrap, and one example for disabling axis sharing #166

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d39828e
added example about facet_col_wrap, and one example for disabling axi…
emmanuelle Nov 4, 2019
2b03f57
unmatched facet warning
nicolaskruchten Nov 12, 2019
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added example about facet_col_wrap, and one example for disabling axi… 
…s sharing
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@emmanuelle @nicolaskruchten
emmanuelle authored and nicolaskruchten committed Nov 12, 2019
commit d39828ed699a43cf0a9062e0342000a68b2215d7
31 changes: 30 additions & 1 deletion python/facet-plots.md
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Expand Up @@ -20,7 +20,7 @@ jupyter:
name: python
nbconvert_exporter: python
pygments_lexer: ipython3
version: 3.6.7
version: 3.7.3
plotly:
description: How to make Facet and Trellis Plots in Python with Plotly.
display_as: statistical
Expand Down Expand Up @@ -58,6 +58,18 @@ fig = px.bar(tips, x="size", y="total_bill", color="sex", facet_row="smoker")
fig.show()
```

### Wrapping Column Facets

When the facet dimension has a large number of unique values, it is possible to wrap columns using the `facet_col_wrap` argument.

```python
import plotly.express as px
df = px.data.gapminder()
fig = px.scatter(df, x='gdpPercap', y='lifeExp', color='continent', size='pop',
facet_col='year', facet_col_wrap=4)
fig.show()
```

### Histogram Facet Grids

```python
Expand All @@ -67,3 +79,20 @@ fig = px.histogram(tips, x="total_bill", y="tip", color="sex", facet_row="time",
category_orders={"day": ["Thur", "Fri", "Sat", "Sun"], "time": ["Lunch", "Dinner"]})
fig.show()
```

### Facets with independent axes

By default, facet axes are linked together: zooming inside one of the facets will also zoom in the other facets. You can disable this behaviour as follows.
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Here it's actually important to mention that it's dangerous to do what's in this example, because you lose all labelling for plots that aren't on the edges. You should only disable matching for y when using facet_row without facet_col and vice versa!


```python
import plotly.express as px
df = px.data.tips()
fig = px.scatter(df, x="total_bill", y="tip", color='sex',
facet_row="day", facet_col='time')
# No match between subplot axes
fig.update_xaxes(matches=None)
fig.update_yaxes(matches=None)
# Show ticks for each axis since they are now independent
fig.update_xaxes(showticklabels=True)
fig.show()
```