matplotlib-dashboard 0.0.1

This package, with the aim of accelerating and facilitating the use of some design patterns, offers abstract classes.

Matplotlib Dashboard Package

This package creates a simple user interface for creating subfigures when working with matplotlib.

import matplotlib.pyplot as plt
plt.figure(figsize=(10,10))

from matplotlib_dashboard import MatplotlibDashboard
dashboard = MatplotlibDashboard([
    ['top' ,'top' ,'top' ,'top'  ],
    ['left','left', None ,'right'],
    ['left','left','down','right'],
], as3D=['left'], wspace=0.5, hspace=0.5)

import numpy as np
dashboard['top'].plot(np.random.rand(200), color='red')
dashboard['top'].set_ylabel('y')
dashboard['top'].set_xlabel('x')
dashboard['top'].set_title('top plot')

dashboard['right'].bar(['A','B','C'], [10,35,17], color='blue')
dashboard['right'].set_ylabel('freq')
dashboard['right'].set_xlabel('label')
dashboard['right'].set_title('right bar')

from PIL import Image
dashboard['down'].imshow(Image.open('./test1.jpeg'))
dashboard['down'].get_xaxis().set_ticks([])
dashboard['down'].get_yaxis().set_ticks([])
dashboard['down'].set_title('down image')

z = ((5-np.arange(100)%10)**3).reshape(10,10)
x, y = np.meshgrid(np.arange(z.shape[0]), np.arange(z.shape[1]))
dashboard['left'].plot_surface(x, y, z, color='green')
dashboard['left'].set_ylabel('x')
dashboard['left'].set_xlabel('y')
dashboard['left'].set_zlabel('z')
dashboard['left'].set_title('left surface')

plt.show()

Customization

• Pass the map of subfigures you want when instantiation a dashboard. Write the map as a list of lists or a 2D-array.
• Get the subfigure you want using get-item syntax. The name is what you defined in the map.
• Use the None keyword to access empty part of the map.
• Use as3D argument to determine which subfigures are 3D.
• Any customization on matplotlib.pyplot also applies to this dashboard. For example, use plt.figure(figsize=(x,y)) to change the size of the dashboard figure.
• This module is based on matplotlib.gridspec. So you can use the parameters that are configurable in the initialization of a gridspec with the same functionality in the initialization of this module. For example, set the wspace and hspace parameters to change the horizontal or vertical spacing between subfigures.

Installation

Package is avalable on PyPI.