pltoly boxlpot

The pltoly boxlpot is a Python module that helps programmers to create boxplots using the Plotly library. A boxplot is a way of summarizing the distribution of a dataset by showing the minimum and maximum values, the median, and the first and third quartiles. This can be especially useful when comparing the distributions of multiple datasets.

Features

Some of the features of pltoly boxlpot include:

• Easy to use interface for creating boxplots
• Customization options for changing the appearance of the plot
• Ability to plot multiple datasets on the same plot

Installation

You can install pltoly boxlpot using pip:

pip install pltoly_boxlpot

Once installed, you can import the module in your Python code like this:

import pltoly_boxlpot

Usage

To create a boxplot with pltoly boxlpot, you first need to create a list of datasets that you want to compare. Each dataset should be represented as a list of values. Here's an example:

import pltoly_boxlpot

data = [
    [1, 2, 3, 4, 5],
    [6, 7, 8, 9, 10],
    [11, 12, 13, 14, 15]
]

pltoly_boxlpot.create_boxplot(data)

This will create a boxplot with three boxes, one for each dataset. The x-axis will show the number of the dataset, and the y-axis will show the values.

You can also customize the appearance of the plot using the customization parameter. This should be a dictionary of Plotly style options. Here's an example:

import pltoly_boxlpot

data = [
    [1, 2, 3, 4, 5],
    [6, 7, 8, 9, 10],
    [11, 12, 13, 14, 15]
]

customization = {
    'title': 'My Boxplot',
    'xaxis': {
        'title': 'Dataset'
    },
    'yaxis': {
        'title': 'Value'
    }
}

pltoly_boxlpot.create_boxplot(data, customization)

This will create a boxplot with a title, and labeled axes.

Conclusion

The pltoly boxlpot module provides an easy way to create boxplots using Plotly. Whether you're comparing multiple datasets or just summarizing one, boxplots can be a powerful way to visualize data distributions. If you're looking for a way to create boxplots in Python, give pltoly boxlpot a try!