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Apr 5, 2022
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add pattern fills to px.area #3668

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7d8ced4
add pattern fills to px.area
nicolaskruchten Apr 5, 2022
2dedf02
docs and changelog
nicolaskruchten Apr 5, 2022
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10 changes: 10 additions & 0 deletions CHANGELOG.md
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Expand Up @@ -3,6 +3,16 @@ All notable changes to this project will be documented in this file.
This project adheres to [Semantic Versioning](http://semver.org/).


## [5.7.0] - UNRELEASED

### Added
- added `pattern_shape` options to `px.area()` [#3668](https://github.com/plotly/plotly.py/issues/3668)

### Updated
- Updated Plotly.js to from version 2.9.0 to version 2.11.1. See the [plotly.js CHANGELOG](https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#2111----2022-03-15) for more information. Notable changes include:
- Add `fillpattern` options to `scatter` trace
- Various JS-specific improvements such as MathJax 3.0 support

## [5.6.0] - 2022-02-09

### Updated
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30 changes: 23 additions & 7 deletions doc/python/filled-area-plots.md
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Expand Up @@ -5,10 +5,10 @@ jupyter:
text_representation:
extension: .md
format_name: markdown
format_version: '1.2'
jupytext_version: 1.6.0
format_version: '1.3'
jupytext_version: 1.13.7
kernelspec:
display_name: Python 3
display_name: Python 3 (ipykernel)
language: python
name: python3
language_info:
Expand All @@ -20,7 +20,7 @@ jupyter:
name: python
nbconvert_exporter: python
pygments_lexer: ipython3
version: 3.7.6
version: 3.9.7
plotly:
description: How to make filled area plots in Python with Plotly.
display_as: basic
Expand All @@ -44,8 +44,7 @@ This example shows how to fill the area enclosed by traces.
```python
import plotly.express as px
df = px.data.gapminder()
fig = px.area(df, x="year", y="pop", color="continent",
line_group="country")
fig = px.area(df, x="year", y="pop", color="continent", line_group="country")
fig.show()
```

Expand All @@ -62,11 +61,28 @@ snippet_url = 'https://python-docs-dash-snippets.herokuapp.com/python-docs-dash-
IFrame(snippet_url + 'filled-area-plots', width='100%', height=1200)
```

### Pattern Fills

*New in v5.0*

Area charts afford the use of [patterns (also known as hatching or texture)](/python/pattern-hatching-texture/) in addition to color:

```python
import plotly.express as px
df = px.data.medals_long()

fig = px.area(df, x="medal", y="count", color="nation",
pattern_shape="nation", pattern_shape_sequence=[".", "x", "+"])
fig.show()
```

<!-- #region tags=[] -->
### Filled area chart with plotly.graph_objects

#### Basic Overlaid Area Chart
<!-- #endregion -->

```python
```python tags=[]
import plotly.graph_objects as go

fig = go.Figure()
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22 changes: 15 additions & 7 deletions doc/python/pattern-hatching-texture.md
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Expand Up @@ -5,10 +5,10 @@ jupyter:
text_representation:
extension: .md
format_name: markdown
format_version: '1.2'
jupytext_version: 1.4.2
format_version: '1.3'
jupytext_version: 1.13.7
kernelspec:
display_name: Python 3
display_name: Python 3 (ipykernel)
language: python
name: python3
language_info:
Expand All @@ -20,7 +20,7 @@ jupyter:
name: python
nbconvert_exporter: python
pygments_lexer: ipython3
version: 3.7.7
version: 3.9.7
plotly:
description: How to use patterns (also known as hatching or texture) with bar
charts.
Expand All @@ -36,16 +36,16 @@ jupyter:

*New in v5.0*

[Bar charts](/python/bar-charts/), [histograms](/python/histograms/) and [polar bar charts](/python/wind-rose-charts/) have large markers which support not only a fill color, but also an optional **pattern** (also known as "hatching" or "texture"). This can be used for a variety of reasons:
[Bar charts](/python/bar-charts/), [histograms](/python/histograms/), [polar bar charts](/python/wind-rose-charts/) and [area charts](/python/filled-area-plots/) have large markers or areas which support not only a fill color, but also an optional **pattern** (also known as "hatching" or "texture"). This can be used for a variety of reasons:

* to double-encode variables (i.e. using both color and pattern) to improve accessibility for visually-impaired end-users
* to encode an additional variable beyond just using color
* to make charts that are easier to print in black and white


### Patterned Bar Charts with Plotly Express
### Patterned Charts with Plotly Express

the `px.bar()`, `px.histogram()` and `px.bar_polar()` functions support the `pattern_shape` argument. In the chart below, we double-encode `nation` using color and pattern:
the `px.bar()`, `px.histogram()`, `px.bar_polar()` and `px.area()` functions support the `pattern_shape` argument. In the chart below, we double-encode `nation` using color and pattern:

```python
import plotly.express as px
Expand All @@ -55,6 +55,14 @@ fig = px.bar(df, x="medal", y="count", color="nation", pattern_shape="nation")
fig.show()
```

```python
import plotly.express as px
df = px.data.medals_long()

fig = px.area(df, x="medal", y="count", color="nation", pattern_shape="nation")
fig.show()
```

In the chart below we use `px.histogram()` instead of `px.bar()` to aggregate multiple values together, and encode one variable (sex) using both color and x-position and another (smoker) using patterns:

```python
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3 changes: 3 additions & 0 deletions packages/python/plotly/plotly/express/_chart_types.py
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Expand Up @@ -273,6 +273,7 @@ def area(
y=None,
line_group=None,
color=None,
pattern_shape=None,
symbol=None,
hover_name=None,
hover_data=None,
Expand All @@ -289,6 +290,8 @@ def area(
labels=None,
color_discrete_sequence=None,
color_discrete_map=None,
pattern_shape_sequence=None,
pattern_shape_map=None,
symbol_sequence=None,
symbol_map=None,
markers=False,
Expand Down
7 changes: 5 additions & 2 deletions packages/python/plotly/plotly/express/_core.py
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Expand Up @@ -223,7 +223,7 @@ def make_mapping(args, variable):
if variable == "dash":
arg_name = "line_dash"
vprefix = "line_dash"
if variable == "pattern":
if variable in ["pattern", "shape"]:
arg_name = "pattern_shape"
vprefix = "pattern_shape"
if args[vprefix + "_map"] == "identity":
Expand Down Expand Up @@ -1739,7 +1739,10 @@ def infer_config(args, constructor, trace_patch, layout_patch):
grouped_attrs.append("marker.symbol")

if "pattern_shape" in args:
grouped_attrs.append("marker.pattern.shape")
if constructor in [go.Scatter]:
grouped_attrs.append("fillpattern.shape")
else:
grouped_attrs.append("marker.pattern.shape")

if "orientation" in args:
has_x = args["x"] is not None
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2 changes: 1 addition & 1 deletion packages/python/plotly/plotly/package_data/templates/ggplot2.json
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2 changes: 1 addition & 1 deletion packages/python/plotly/plotly/package_data/templates/gridon.json
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{"data":{"pie":[{"automargin":true,"type":"pie"}]},"layout":{"xaxis":{"showgrid":true,"title":{"standoff":15}},"yaxis":{"showgrid":true,"title":{"standoff":15}}}}
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