> For the complete documentation index, see [llms.txt](https://docs.shimoku.com/dev/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.shimoku.com/dev/elements/charts/bar-charts/stacked-bar.md).

# Stacked Bar

A **stacked bar chart** shows the composition of each category in a stacked bar, with each segment representing a sub-category.

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

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

It must contain the following input variables:

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

And accepts the following input variables 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]
```

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

An example of how the function expects the data to be represented is the following:

```csv
Segment, Price, Client category, Age, Geo, Acquisitive power, Family size, Policie tenure, Labour contract
Hogar, 21, 5, 12, 17, 3, 14, 3, 6
Móvil, 23, 16, 16, 14, 4, 2, 19, 12
Dental, 26, 21, 14, 17, 1, 2, 6, 3
Viajes, 24, 22, 15, 17, 8, 5, 15, 4
Accidentes, 22, 12, 18, 17, 5, 6, 1, 5
Seguro de vida, 22, 21, 19, 12, 7, 3, 2, 9
Jurídico, 25, 21, 13, 12, 10, 6, 13, 6
Dental Plus, 24, 4, 17, 17, 7, 9, 2, 3
Jubilación, 20, 4, 19, 17, 2, 2, 10, 8
Salud, 27, 24, 17, 17, 12, 1, 4, 1
```

Assuming that the previously shown data is stored in the file `'file.csv'`.

The function has the option to hide or show each level by using the parameter `show_values` where the columns of the dataset that will show it's values have to be specified, by default it will not show any values.

When executing the following code:

```python
s.plt.stacked_bar(
    data=pd.read_csv('file.csv'), x="Segment",
    x_axis_name='Distribution and weight of the Drivers',
    order=0, show_values=['Price'],
)
```

<figure><img src="/files/RLjjWGNPm2YUxC4BDhLq" alt=""><figcaption><p>Stacked bar chart with percentages calculated and hidden labels</p></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/mx3Z8xAgnx25u55D5PRE" alt=""><figcaption><p>variant='clean'</p></figcaption></figure>
{% endtab %}

{% tab title="Minimal" %}

<figure><img src="/files/AOdExWNluO4P1ImCGk3k" alt=""><figcaption><p>variant='minimal'</p></figcaption></figure>
{% endtab %}

{% tab title="Thin" %}

<figure><img src="/files/riqKN7c5r7pNYgL6j9nD" alt=""><figcaption><p>variant="thin"</p></figcaption></figure>
{% endtab %}

{% tab title="Clean Thin" %}

<figure><img src="/files/0RsYIsSuVkb8etjfwLLX" alt=""><figcaption><p>variant="clean thin"</p></figcaption></figure>
{% endtab %}

{% tab title="Minimal Thin" %}

<figure><img src="/files/1CxXYqyCw8JoVUDElTFI" alt=""><figcaption><p>variant="minimal thin"</p></figcaption></figure>
{% endtab %}

{% tab title="Shadow" %}

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

{% tab title="Clean Shadow" %}

<figure><img src="/files/LbsiEYVDpeCRT0do9Q0h" alt=""><figcaption><p>variant="clean shadow"</p></figcaption></figure>
{% endtab %}

{% tab title="Minimal Shadow" %}

<figure><img src="/files/DDPS0TPsKzCkAHUfyIUB" alt=""><figcaption><p>variant="minimal shadow"</p></figcaption></figure>
{% endtab %}
{% endtabs %}

## Interesting Usages

* Showing proportions: Stacked bar charts are ideal for showing how a category is divided into subcategories. For example, you could use a stacked bar chart to show how a company's revenue by month is divided into different product categories.

  <figure><img src="/files/sM0tqKRaEuYZiO4SyBXU" alt=""><figcaption><p>Evolution of revenue by month, total and in percentages</p></figcaption></figure>

* Comparing data: Stacked bar charts can also be used to compare data between different categories. For example, you could use a stacked bar chart to compare the revenue generated by different countries.

  <figure><img src="/files/7TSeqApXP5bsHh2WgbwB" alt=""><figcaption><p>Revenue by country total and percentages</p></figcaption></figure>


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