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DS-1000 / 719 / How does one convert a left-tailed p-value to a z_score from the Z-distribution…

Problem

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Problem:
How does one convert a left-tailed p-value to a z_score from the Z-distribution (standard normal distribution, Gaussian distribution)? 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
p_values = [0.1, 0.225, 0.5, 0.75, 0.925, 0.95]
</code>
z_scores = ... # put solution in this variable
BEGIN SOLUTION
<code>

library

Scipy

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Source and history

upstream_id / Original problem ID
719
task_id
76008c70-7216-594d-b6ad-8b192273079e
task_key
default--test--719
task_revision_id
1
config / split
default / test

Official source

initial import