spkit.mea.mat_list_show

spkit.mea.mat_list_show(A, fmt='.1f', vmin=None, vmax=None, cmap='jet', figsize=None, labels=[], titles=[], grid=(2, 2))

Display multiple Feature Matrix of MEA

Display multiple Feature Matrix of MEA

Parameters:
A: list

  • list of feature matrix Fx, arranged in MEA-grid form

Following setting is applied to all the plots, for individual limit of colormap use :func:`mat_1_show`
fmt: str,

  • precision format to show value, default = ‘.1f’, at one decimal point, same applies to all the matrix plot

(vmin, vmax):

  • colormap range, default set to (None, None),

  • same applies to all the matrix plot

cmap:str, default=’jet’

  • colormap

labels: list of str,

  • label for each colorbar default=[], an empty list

titles: list of str,

  • title for each figure default= [], an empty list

figsize: figure size
grid: tuple, (row,col), default = (2,2)

  • grid as to arraged these feature matrixs

Returns:
None

See also

plot_mea_grid, mea_feature_map, mat_1_show, arrange_mea_grid

Examples

#sp.mea.mat_1_show
import numpy as np
import matplotlib.pyplot as plt
import spkit as sp

A = []

for i in range(4):
    Ax = (sp.create_signal_2d(n=8,sg_winlen=5, sg_polyorder=1,seed=2+i)*30).round(1)
    if i%2==0:Ax[[0,0,7,7],[0,7,0,7]] = np.nan
    A.append(Ax)

sp.mea.mat_list_show(A,fmt='.1f',vmin=None, vmax=25,cmap='jet',figsize=(10,7),
                    labels=['ms','uV','unit','s'],titles=['A','B','C','D'],grid=(2,2))
../../_images/spkit-mea-mat_list_show-1.png

Examples using spkit.mea.mat_list_show

MEA: Step-wise Analysis: Example

MEA: Step-wise Analysis: Example