# Line and Bar

This hybrid chart fuses the visual appeal of both line and bar graphs. While the line graph depicts the trend or continuous data, the bars offer a clear representation of discrete data points. The dual y-axis design facilitates the comparison of two related but differently scaled sets of data. This configuration is especially helpful when one wants to showcase a correlation or interaction between two distinct yet interconnected data sets.

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

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

It must contain the following input variables:

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

And accepts the following input variables as optional:

```python
bar_names: Optional[List[str]] = None
line_names: Optional[List[str]] = None
x_axis_name: Optional[str] = None
bar_axis_name: Optional[str] = None
bar_suffix: Optional[str] = None,
line_axis_name: Optional[str] = None
line_suffix: Optional[str] = None
title: Optional[str] = None
rows_size: Optional[int] = None
cols_size: Optional[int] = None
padding: Optional[List[int]] = None
option_modifications: Optional[Dict] = None
variant: Optional[str] = None
```

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

The following code:

```python
data = [
    {'day': 'Mon', 'Evaporation': 2.0, 'Precipitation': 2.6, 'Temperature': 2.0},
    {'day': 'Tue', 'Evaporation': 4.9, 'Precipitation': 5.9, 'Temperature': 2.2},
    {'day': 'Wed', 'Evaporation': 7.0, 'Precipitation': 9.0, 'Temperature': 3.3},
    {'day': 'Thu', 'Evaporation': 23.2, 'Precipitation': 26.4, 'Temperature': 4.5},
    {'day': 'Fri', 'Evaporation': 25.6, 'Precipitation': 28.7, 'Temperature': 6.3},
    {'day': 'Sat', 'Evaporation': 76.7, 'Precipitation': 70.7, 'Temperature': 10.2},
    {'day': 'Sun', 'Evaporation': 135.6, 'Precipitation': 175.6, 'Temperature': 20.3}
]

s.plt.line_and_bar_charts(
    data=data, order=0, x='day', 
    bar_names=['Evaporation', 'Precipitation'], 
    line_names=['Temperature'],
    title='rainfall and temperature', 
    x_axis_name='Day', 
    line_axis_name='Temperature',
    line_suffix=' °C', 
    bar_axis_name='Evaporation and precipitacion', 
    bar_suffix=' ml'
)
```

<figure><img src="https://3782181538-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FUlHTfmIZY46Z1EDfyGMz%2Fuploads%2F30IeKxurGrV2A9FmNFIB%2FBar%20And%20Line.png?alt=media&#x26;token=3f90d7d8-9d0b-43f9-abaf-32dfd9285f2b" 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="https://3782181538-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FUlHTfmIZY46Z1EDfyGMz%2Fuploads%2FU5Rn7dPn1FoGBvzOofG5%2Fimatge.png?alt=media&#x26;token=4bded191-530d-4c81-9831-d95b8fd5c21c" alt=""><figcaption><p>variant="clean"</p></figcaption></figure>
{% endtab %}

{% tab title="Minimal" %}

<figure><img src="https://3782181538-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FUlHTfmIZY46Z1EDfyGMz%2Fuploads%2FqPKz49V1HJctdohaBS1M%2Fimatge.png?alt=media&#x26;token=cdb251ee-9829-463f-9552-9167220c172c" alt=""><figcaption><p>variant="minimal"</p></figcaption></figure>
{% endtab %}
{% endtabs %}

##


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