making multiple plot at the same time in python3 - python-3.x

Question

I have a list and a python array like these 2 examples:
example:
Neg = [37.972200755611425, 32.14963079785344]
Pos = array([[15.24373185, 13.66099865, 11.86959384, 9.72792045, 7.12928302, 6.04439412],[14.5235007 , 13. , 11.1792871 , 9.14974712, 6.4429435 , 5.04439412]
both Neg and Pos have 2 elements (in this example) therefore I would like to make 2 separate plots (pdf file) for every element.
in every plot there would be 2 lines:
1- comes from Pos and is a line plot basically which is made of all the elements in the sub-list.
2- comes from Neg and is a horizontal line on the y-axis.
I am trying to do that in a for loop for all elements at the same time. to do so, I made the following code in python but it does not return what I would like to get. do you know how to fix it ?
for i in range(len(Neg)):
fig = plt.figure()
ax = fig.add_subplot(1, 1, 1)
ax.plot(concentration, Pos[i], label='gg')
plt.axhline(y=Neg[i], color='b', linestyle='-')
ax.legend()
ax.set_xlabel("log2 concentration")
ax.set_ylabel("log2 raw counts")
ax.set_ylim(0, 40)
plt.savefig(f'{i}.pdf')

Answer 1

Not quite sure exactly what you want but this code creates two subplots of the data in the way I think you're describing it:
import numpy as np
from matplotlib import pyplot as plt
Neg = [37.972200755611425, 32.14963079785344]
Pos = np.array([[15.24373185, 13.66099865, 11.86959384, 9.72792045, 7.12928302, 6.04439412],[14.5235007 , 13. , 11.1792871 , 9.14974712, 6.4429435 , 5.04439412]])
fig = plt.figure()
for i in range(len(Neg)):
ax = fig.add_subplot(2,1,i+1)
ax.plot(Pos[i], label='gg')
plt.axhline(y=Neg[i], color='b', linestyle='-')
ax.legend()
ax.set_xlabel("log2 concentration")
ax.set_ylabel("log2 raw counts")
ax.set_ylim(0, 40)
plt.subplots_adjust(hspace=1.0)
extent = ax.get_window_extent().transformed(fig.dpi_scale_trans.inverted())
fig.savefig(f'{i}.pdf', bbox_inches=extent.expanded(1.2, 1.9))
Edited the code to save each subplot individually to file by grabbing a specific part of the plot for saving, as used in this question: Save a subplot in matplotlib.
Also included some additional spacing between each subplot by calling subplots_adjust(), so that each subplot can be saved to individual files without any detail from the other subplots being included. This might not be the best way of doing what you want, but I think it will do what you want now.
Alternatively, if you're not set on using subplots, you could always just use a plot per element:
fig = plt.figure()
for i in range(len(Neg)):
plt.plot(Pos[i], label='gg')
plt.axhline(y=Neg[i], color='b', linestyle='-')
plt.legend()
plt.xlabel("log2 concentration")
plt.ylabel("log2 raw counts")
plt.ylim(0, 40)
fig = plt.gcf()
fig.savefig(f'{i}.pdf')
plt.show()