Pandas autocorrelation plot never finishes

Question

I am trying to plot the autocorrelation plot from some pandas series with a lot of data (over 2 million datapoints in the csv file), but when I call pandas.plotting.autocorrelation_plot(series), it never gets to finish.

Instead, when I do it on some series from another file with just a couple thousand lines it takes barely seconds. It's been 2 days since I executed the script and it still hasn't finished. Is the problem that complex or am I doing something wrong? I leave my script here:

import pandas as pd
import matplotlib.pyplot as plt
import random



symbol = "BTCUSDT.csv"
df = pd.read_csv(f"../../data/1m/{symbol}")
closes = df.copy().iloc[:, 4]
plot = pd.plotting.autocorrelation_plot(closes, label = symbol.split(".")[0])
curve = plot.plot() 

plt.axhline(y = 0.9, color = 'g', linestyle = 'dashed')
plt.axhline(y = 0.85, color = 'b', linestyle = 'dotted')
plt.axhline(y = 0.8, color = 'r', linestyle = 'dashed')
plot.figure.suptitle("Autocorrelation plots", fontsize=20)
plt.show()

When I call the script like that, it takes ages (and still hasn't finished yet), but when I do it over smaller files it works just fine. Any help would be really appreciated. Thank you all in advance!