# Area

## **The Area Chart** <a href="#the-line-chart" id="the-line-chart"></a>

An area chart displays quantitative data graphically, with the area between the data line and the x-axis filled with color or pattern. This filled area represents volume or quantity, making it a useful tool for visualizing the magnitude or cumulative value of data over a continuous scale, such as time.

### The Method To Use <a href="#the-method-to-use" id="the-method-to-use"></a>

The method is `s.plt.area()`

It must contain the following parameters:

```python
x: str
order: int
data: Union[str, DataFrame, List[Dict]]
```

Accepts these parameters as optional:

```python
y: Optional[List[str]]
x_axis_name: Optional[str]
y_axis_name: Optional[str]
title: Optional[str]
rows_size: Optional[int]
cols_size: Optional[int]
padding: Optional[List[int]]
show_values: Optional[List[str]]
option_modifications: Optional[Dict]
variant: Optional[str]
```

## Examples <a href="#examples" id="examples"></a>

Suppose you have data points representing accumulated values over days. Here's how you can plot an area chart:

```python
data = [
    {'date': dt.date(2021, 1, 1), 'x': 5, 'y': 3},
    {'date': dt.date(2021, 1, 2), 'x': 5, 'y': 7},
    {'date': dt.date(2021, 1, 3), 'x': 4, 'y': 5},
    {'date': dt.date(2021, 1, 4), 'x': 7, 'y': 6},
    {'date': dt.date(2021, 1, 5), 'x': 3, 'y': 5},
]

s.plt.area(data=data, order=0, x='date')
```

<figure><img src="/files/WHSwKhdbBvmuu6mNMYln" alt=""><figcaption></figcaption></figure>

## Variants

By setting the parameter `variant` to the following values the appearance of the chart can be changed:

{% tabs %}
{% tab title="Clean" %}

<figure><img src="/files/LhcoDiXn4gztfpwExgT5" alt=""><figcaption><p>variant="clean"</p></figcaption></figure>
{% endtab %}

{% tab title="Minimal" %}

<figure><img src="/files/lQJlwDGXq9xD4qS0Oy4Y" alt=""><figcaption><p>variant="minimal"</p></figcaption></figure>
{% endtab %}
{% endtabs %}

##


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