[Python] MATPLOTLIB: How can I align my two X-axes?

I just can't figure out how to align my two X-axes since I'm using the same xticks array for both. I want to display the date at the top and the time at the bottom axis, but the two axes are misaligned. The data I'm using is 2601 lines long.

Here is my code:

import numpy as np
import matplotlib.pyplot as plt
import time
from datetime import datetime
from matplotlib.ticker import MaxNLocator

f = open("data.txt", "r")
#data.txt data in each line
#HistoricalData. 4001 - Time: 20191115 20:37:00, Open: 70.185, High: 70.195, Low: 70.135, Close: 70.14, Volume: -1, Count: -1, WAP: -1s

my_list = []
my_list_real = np.array([])
my_list_time = np.array([])
counter = 0
for x in f:
my_list.append(x)
counter += 1
print(counter)

i = 0
while i < len(my_list):
start = my_list.find("Open")
start += 6
end = my_list.find(", High")
end -= 0
variable = my_list[start:end]
my_list_real = np.append(my_list_real, float(variable))

start = my_list.find("Time: ")
start += 6
end = start + 8

variable_time = my_list[start:end] + " " + my_list[(end+2)end+10)]
datetime_object = datetime.strptime(variable_time, '%Y%m%d %X')
my_list_time = np.append(my_list_time, datetime_object)
i += 1

number_array = np.arange(len(my_list_time))

fig = plt.figure()
ax = fig.add_subplot()

string_array = my_list_time.astype('str')
plt.xticks(number_array, string_array)

ax.plot(number_array, my_list_real)

ax.xaxis.set_major_locator(MaxNLocator(5, min_n_ticks=5))
ax2 = ax.twiny()
ax2.set_xticks(number_array, minor=False)
ax2.xaxis.set_major_locator(MaxNLocator(5, min_n_ticks=5))
ax2.set_xticklabels(string_array, fontdict=None, minor=False)
ax2.set_xticks(np.linspace(ax2.get_xticks()[0], ax2.get_xticks()[-1], len(ax.get_xticks())))

ax.set(xlabel='time (s)', ylabel='Price ($)',
title='INTC')
ax.grid()
fig.savefig("test.png")

plt.show()


Here is my output:



How could I fix this?

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