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

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merged 2 commits into from
Nov 12, 2019
Merged

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

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added example about facet_col_wrap, and one example for disabling axi…
emmanuelle Nov 4, 2019
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unmatched facet warning
nicolaskruchten Nov 12, 2019
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38 changes: 37 additions & 1 deletion python/facet-plots.md
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Original file line number Diff line number Diff line change
Expand Up @@ -20,7 +20,7 @@ jupyter:
name: python
nbconvert_exporter: python
pygments_lexer: ipython3
version: 3.6.7
version: 3.6.8
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 +79,27 @@ 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 when you use `facet_row` only, by disabling `matches` on the Y axes, or when using `facet_col` only, by disabling `matches` on the X axes. It is not recommended to use this approach when using `facet_row` and `facet_col` together, as in this case it becomes very hard to understand the labelling of axes and grid lines.

```python
import plotly.express as px
df = px.data.tips()
fig = px.scatter(df, x="total_bill", y="tip", color='sex', facet_row="day")
fig.update_yaxes(matches=None)
fig.show()
```

```python
import plotly.express as px
df = px.data.tips()
fig = px.scatter(df, x="total_bill", y="tip", color='sex', facet_col="day")
fig.update_xaxes(matches=None)
fig.show()
```

```python

```