我使用this question制作了一个这样的动画散点图：

import matplotlib.pyplot as plt
import pandas as pd
from matplotlib.collections import PathCollection

df = pd.DataFrame({"x": [1, 2, 6, 4, 5, 6], "y": [1, 4, 36, 16, 25, 36]})
plt.ion()
fig: plt.Figure = plt.figure
ax = fig.subplots()
path_collection: PathCollection = ax.scatter(df.loc[0:2, "x"], df.loc[0:2, "y"])
# Note: I don't use pandas built in DataFrame.plot.scatter function so I can get the PathCollection object to later change the scatterpoints.
fig.canvas.draw()
path_collection.set_offsets([[row.x, row.y] for index, row in df.loc[3:].iterrows()])
# Due to the format of offset (array-like (N,2)) this seems to be the best way to provide the data.

fig.canvas.draw()

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这工作得很好，但我想在x轴上有时间，所以我尝试将上面的代码改为：

import matplotlib.pyplot as plt
import pandas as pd
from matplotlib.collections import PathCollection

df = pd.DataFrame({'time': [pd.Timestamp('2021-02-04 00:00:01'),
                            pd.Timestamp('2021-02-04 00:00:02'),
                            pd.Timestamp('2021-02-04 00:00:10'),
                            pd.Timestamp('2021-02-04 00:00:05'),
                            pd.Timestamp('2021-02-04 00:00:06'),
                            pd.Timestamp('2021-02-04 00:00:08')],
                   'y': [5, 6, 10, 8, 9, 10]})
fig: plt.Figure = plt.figure()
ax = fig.subplots()
sc: PathCollection = ax.scatter(df.loc[0:2, "time"], df.loc[0:2, "y"])
fig.canvas.draw()    
sc.set_offsets([[row.time, row.y] for index, row in df.loc[3:].iterrows()])

fig.canvas.draw()

型
倒数第二行抛出了这个错误：TypeError: float() argument must be a string or a number, not 'Timestamp'。这似乎是由于PathCollection将它存储为一个numpy数组，而这个数组不能包含Timestamp。所以我想知道，有没有一个变通方法可以用时间轴来动画散点？
先谢了。