Попробуйте это, я проверил на своей локальной машине, и это сработало:
# imports
import pandas as pd
import matplotlib.pyplot as plt
%matplotlib inline
# data
created = ["2020-02-29T19:26:00.000Z",
"2020-02-29T19:25:00.000Z",
"2020-02-29T19:25:00.000Z",
"2020-02-29T19:24:00.000Z",
"2020-02-29T19:23:00.000Z"]
current_page = ["SOMMARIO", "DATI PERSONALI", "OFFERTA FULL", "DATI BENE", "HOMEPAGE"]
# create df from data
df = pd.DataFrame([created, current_page], ["created", "current_page"]).T
# convert to datetime
df["created"] = pd.to_datetime(df["created"])
# enconde data
from sklearn.preprocessing import LabelEncoder
le = LabelEncoder()
df["current_page"] = le.fit_transform(df["current_page"].values)
# separte x and y
x = df["created"]
y = df["current_page"]
# plot data
fig = plt.figure()
ax = fig.add_subplot(111)
ax.plot(x, y)