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I have a dataset where each row plots an ECG, with 50k rows, 181 columns and has 4 classes, represented in the last column (0, 1, 2, 3).

So, I need to "convert" each row for images plotting each one, but I only know to separate according to the values of the last column and plot each one.

Plotting this manually and will take a lot of time to finish,is there a way to plot a considered number of images for each class?

I'm using Python for this work.

marc_s
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Sérgio Corrêa
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    Please provide enough code so others can better understand or reproduce the problem. – Community Apr 14 '22 at 03:39
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1 Answers1

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You can do this by using the method subplots() using Matplotlib. Here is an example using a list of lists for the data and then indexing for the axis. Using a pandas pandas you can achieve the same output itering through the columns in the for loop.

Note; if the figure has more the 1 column of axis you have do index it with 2 brackets [col][row]

y_vals = [0, 2, 5, 6, 6, 8]
x_vals = [2 , 4, 6, 8, 10, 12]
x_data = [x_vals for x in range(4)]
y_data = [y_vals for y in range(4)]

fig, ax = plt.subplots(4, figsize=(4, 8))
 
for i in range(4):
    ax[i].plot(x_data[i], y_data[i])
    
fig, ax2 = plt.subplots(4,4, figsize=(8, 4))

for i in range(4):
    for j in range(4):
        ax2[i][j].plot(x_data[i], y_data[i])

enter image description here

Jorge Alvarez
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