### Install quickplots using pip

Source: https://quickplots.readthedocs.io/en/latest/installing.html

Use this command to install quickplots with pip. If you are using Python 3 and 'pip' defaults to Python 2, use 'pip3' instead.

```bash
pip install quickplots
```

```bash
pip3 install quickplots
```

--------------------------------

### Create a line chart with quickplots

Source: https://quickplots.readthedocs.io/en/latest/overview.html

Demonstrates creating a line chart using positional (x, y) tuples or separate x and y lists.

```python
>>> import quickplots
>>> from math import sin, radians
>>> data = [(x, sin(radians(x))) for x in range(360)]
>>> chart = quickplots.line(*data, color="#0000FF", title="sin(x)")
>>> chart.x_label("angle")
>>> chart.y_label("sine of angle")
```

```python
>>> chart = quickplots.line([x for x in range(360)], [sin(radians(x)) for x in range(360)])
```

--------------------------------

### Create and Save a Line Chart

Source: https://quickplots.readthedocs.io/en/latest/index.html

Demonstrates creating a line chart with QuickPlots, modifying a series color, and saving the chart to an SVG file. Ensure the quickplots library is imported.

```python
>>> import quickplots
>>> chart = quickplots.line((0, 0), (1, 1), (2, 4), (3, 9), name="squares")
>>> chart.get_series_by_name("squares").color("#FF0000")
>>> chart.create().save("chart.svg")

```

--------------------------------

### Output charts to SVG

Source: https://quickplots.readthedocs.io/en/latest/overview.html

Uses the create method to generate a canvas object and save the chart as an SVG file.

```python
>>> chart.create()
<Canvas 700×500 (7 Graphics)>
>>> chart.create().save("Charts.svg")
```

--------------------------------

### quickplots.series

Source: https://quickplots.readthedocs.io/en/latest/api/series.html

Documentation for the Data Series module within the Quickplots library.

```APIDOC
## quickplots.series

### Description
The `quickplots.series` module provides functionality for managing and manipulating data series used in plotting applications.
```

--------------------------------

### Modify chart labels and ticks

Source: https://quickplots.readthedocs.io/en/latest/overview.html

Illustrates how to update chart titles, axis labels, and custom tick marks.

```python
>>> chart.title()
'sin(x)'
>>> chart.title("A new title")
>>> chart.title()
'A new title'
>>> chart.x_label("A new x-axis label")
>>> chart.y_label("A new y-axis label")
```

```python
>>> chart.x_ticks(0, 90, 180, 270, 360)
>>> chart.x_ticks()
(0, 90, 180, 270, 360)
```

--------------------------------

### Add series to an existing chart

Source: https://quickplots.readthedocs.io/en/latest/overview.html

Shows how to add additional data series to an existing chart object using line or scatter methods.

```python
>>> cosine_data = [(x, cos(radians(x))) for x in range(360)]
>>> chart.line(*cosine_data, color="#00FF00")
```

```python
>>> cosine_data = [(x, cos(radians(x))) for x in range(360)]
>>> chart.scatter(*cosine_data, color="#00FF00")
```

=== COMPLETE CONTENT === This response contains all available snippets from this library. No additional content exists. Do not make further requests.