Plot images from numpy.ndarray data

Question

I have a column['signal'] which composed of 500 ndarray data in each row. The length of each row is same. I would like to pick one row and plot it into picture. I tried something like data.reshape((1,-1)), but it did not work. I found many solutions on the net, but more error messages appeared. So how can I:

1. plot an image from one row of data in that column
2. Any way to plot more images e.g. plot all images from the column in the dataset (optional question)

Here is a toy data sample:

   ' 19.35983', ' 19.33365', ' 19.30945', ' 19.3211',
   ' 19.34946', ' 19.37268', ' 19.38763', ' 19.4', ' 19.4063',
   ' 19.41592', ' 19.97250', ' 19.4294', ' 19.4368', ' 19.44623',
   ' 19.4646', ' 19.47464', ' 19.485', ' 19.4948', ' 19.50592',
   ' 19.51727', ' 19.51672', ' 19.5159', ' 19.52573'
   

If you can't use this data, please take any data that you believe it will help! Thank you!

Answer 1

Thanks to @TME, I think I get some sort of images:

import numpy as np
import matplotlib.pyplot as plt

data = [' 19.35983', ' 19.33365', ' 19.30945', ' 19.3211']
lst = [float(item) for item in data]
array = np.reshape(lst, (-1,1))
plt.figure(figsize=(30,15))

plt.plot(array)
plt.ylabel('some numbers')

plt.show()

This may not be the right answer yet. If you know how to do it better or how to plot all images from that column (one row one image), please kindly advice. Thank you!

Answer 2

Your data seems to be in string format, so try to convert before reshaping:

import numpy as np

data = [' 19.35983', ' 19.33365', ' 19.30945', ' 19.3211']
lst = [float(item) for item in data]
array = np.reshape(lst, (2,2))