join_hist_chart

This function creates a joyplot (also known as a stacked density plot) using matplotlib and joypy.

join_hist_chart(**kwargs)

Input variables

Name	Description	Type
dataset	Dictionary containing the data to plot. Must include: dataset: DataFrame with the data to be plotted	Dictionary
plot_setup	Setup chart Dictionary with the following keys: name: Path + name of the figure width: Width of the plot height: Height of the plot x_axis_size: Font size for the x-axis labels x_axis_color: Color of the x-axis and y-axis labels dots_per_inch: Resolution in dots per inch extension: File extension	Dictionary
dataset	Dataset to plot	List or array

Output variables

Name	Description	Type
None	The function displays the joyplot on the screen and saves it to the local folder of the .ipynb or .py	None

Example 1

Use the join_hist_chart function to create a joyplot of the dataset.

# Data
import pandas as pd
import numpy as np

# Generating sample data
np.random.seed(0)
data = pd.DataFrame({
    'A': np.random.normal(loc=0, scale=1, size=100),
    'B': np.random.normal(loc=1, scale=2, size=100),
    'C': np.random.normal(loc=2, scale=3, size=100),
})

# Chart setup
chart_config = {
    'name': 'joyplot',
    'width': 10,
    'height': 6,
    'x_axis_size': 12,
    'X axIS color': 'black',
    'dots_per_inch': 300,
    'extension': 'png',
}

# Call function
join_hist_chart(dataset={'dataset': data}, plot_setup=chart_config)

Figure 1. Joyplot of the dataset.

Notebook example