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DS-1000 / 717 / How does one convert a list of Z-scores from the Z-distribution (standard normal…

Problem

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Problem:
How does one convert a list of Z-scores from the Z-distribution (standard normal distribution, Gaussian distribution) to left-tailed p-values? I have yet to find the magical function in Scipy's stats module to do this, but one must be there.
A:
<code>
import numpy as np
import scipy.stats
z_scores = np.array([-3, -2, 0, 2, 2.5])
</code>
p_values = ... # put solution in this variable
BEGIN SOLUTION
<code>

library

Scipy

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Source and history

upstream_id / Original problem ID
717
task_id
3e31f0a2-1a56-53c7-8f34-778f99b3987e
task_key
default--test--717
task_revision_id
1
config / split
default / test

Official source

initial import