Python Altair 图表轴不能很好地zoom 像 matplotlib 这样的小浮点数

如何才能让Altair以与matplotlib(第一张图像)相同的方式绘制直线，而不显示y轴上的范围0.00到0.06？请参阅下面的代码和示例:

import pandas as pd
import altair as alt

loss_data = [0.07727576792240143, 0.0697188749909401, 0.06957338005304337, 0.06949638575315475, 0.06944674998521805, 0.06940694153308868, 0.06925933063030243, 0.06923820823431015, 0.06922164559364319, 0.06911467760801315, 0.0691060945391655, 0.0690980926156044, 0.06901008635759354, 0.06900542229413986, 0.0689304992556572, 0.06892699748277664, 0.06892561912536621, 0.068858303129673, 0.06885731965303421, 0.06880014389753342, 0.0687987431883812, 0.06874748319387436, 0.06874550133943558, 0.06870073080062866, 0.06869713962078094, 0.06869688630104065, 0.06865549832582474, 0.0686517134308815, 0.06861335039138794, 0.0686088502407074, 0.06857530772686005, 0.06856919080018997, 0.0685390755534172, 0.06853235512971878, 0.06850989162921906, 0.06850464642047882, 0.06850180774927139, 0.0684986561536789, 0.06849765032529831, 0.06849698722362518]

loss_df = pd.DataFrame(loss_data, columns=["loss"])
loss_df.insert(0, 'iteration', range(1, 1 + len(loss_df)))
loss_df

loss_df["loss"].plot(title="Training loss")

alt.Chart(loss_df, title="Training loss").mark_line().encode(
  x=alt.X("iteration", scale=alt.Scale(domain=[0, 40])),
  y=alt.Y("loss",)
)