BodyMap
The BodyMap class provides a functionality to generate a body map visualization based on specific areas of the human body and corresponding values. It uses the matplotlib library to create the visualization.
Installation
To use the BodyMap class, you need to have matplotlib installed in your Python environment. You can install it using pip:
pip install matplotlib
Usage
- Import the necessary libraries:
import matplotlib.pyplot as plt
import numpy as np
from mpl_toolkits.axes_grid1 import make_axes_locatable
from matplotlib import cm- Define an instance of the
BodyMapclass:
body_map = BodyMap()- Generate the body map visualization by specifying the areas and corresponding values:
areas = ['head', 'legs', 'right leg', 'left leg', 'right arm', 'left arm', 'torso', 'arms', 'waist', 'neck',
'left hand', 'right hand', 'upper right arm', 'upper left arm', 'right forearm', 'left forearm',
'right thigh', 'left thigh', 'right lower leg', 'left lower leg']
values = [0.5, 0.8, 0.2, 0.6, 0.9, 0.4, 0.7, 0.3, 0.1, 0.5, 0.6, 0.4, 0.7, 0.3, 0.8, 0.2, 0.9, 0.3, 0.7, 0.5]
body_map.generate(areas, values)- Customize the visualization (optional):
# Specify the size of the figure (default: (9, 15))
figsize = (10, 8)
# Specify the colormap to use (default: 'coolwarm')
cmap = 'viridis'
# Specify the background color ('white' or 'black', default: 'white')
background = 'white'
body_map.generate(areas, values, figsize=figsize, cmap=cmap, background=background)- Display the visualization:
plt.show()Example
ax = BodyMap().generate(areas=['head','torso','left hand','right foot'],values=[10,30,22,12],cmap='coolwarm',background='white')
plt.show()
