可视化/比较从 Matlab/Octave 到 matplotlib 的 numpy 数组

Question

我是 python 和 matplotlib 的新手，我想可视化/比较 3 个以 txt 格式存储为 numpy 数组的 mfcc 文件。
我有下面的 Octave 代码，我想知道如何使用 python/matplotlib 来完成。

非常感谢任何帮助。

load /dir/k11.txt  
load /dir/t11.txt  
load /dir/a11.txt  

subplot(1,2,1);imagesc(j11);axis('xy');colormap(jet);colorbar;subplot(1,2,2);imagesc(t11);axis('xy');colormap(jet);colorbar;  

c=[k11(:,end),k11(:,1:end-1)];  
figure(1);  
Ncep=size(c,2)-1;  
a=real(fft([c,zeros(size(c,1),512-Ncep*2-1),c(:,end:-1:2)]'));  
imagesc(a(1:end/2,:));  
axis('xy');  
colormap(jet);  

c=t11;  
figure(2);  
Ncep=size(c,2)-1;  
a=real(fft([c,zeros(size(c,1),512-Ncep*2-1),c(:,end:-1:2)]'));  
imagesc(a(1:end/2,:));  
axis('xy');  
colormap(jet);  

c=a11;  
figure(3);  
Ncep=size(c,2)-1;  
a=real(fft([c,zeros(size(c,1),512-Ncep*2-1),c(:,end:-1:2)]'));  
imagesc(a(1:end/2,:));  
axis('xy');  
colormap(jet);

Answer 1

显然您的示例具有外部性，因此我无法直接复制它，但是在 一般这里是一个 octave 示例及其等效的 python 示例，使用您需要的图像功能。

八度音

% Read an image from a url 
Url = 'https://raw.githubusercontent.com/utkuozbulak/singular-value-decomposition-on-images/master/data/grayscale_cat.jpg';
A   = imread( Url );

imagesc( A );      % Show image in 'colour-scaled' form
axis xy            % Reverse the origin of the y-axis
colormap( jet );   % Choose the jet colormap

在 Python3 中

import urllib.request             # needed for reading urls
import matplotlib.pyplot as plt   # needed for imread/imshow
import matplotlib.colors as cl    # needed for colour-scaling

# Read an image from a url
Url = urllib.request.urlopen( 'https://raw.githubusercontent.com/utkuozbulak/singular-value-decomposition-on-images/master/data/grayscale_cat.jpg' )
A   = plt.imread( Url, 'jpg' )

plt.imshow( A,               # Create a pyplot 'image' instance
    norm = cl.Normalize(),   # Choose colour-scaled form
    origin = 'lower',        # Reverse the origin of the y-axis
    cmap = 'jet'             # Choose the jet colormap
)

plt.show()