[time_series_with_matrices.md] Update np.random → Generator API#740
Open
Chihiro2000GitHub wants to merge 2 commits into
Open
[time_series_with_matrices.md] Update np.random → Generator API#740Chihiro2000GitHub wants to merge 2 commits into
Chihiro2000GitHub wants to merge 2 commits into
Conversation
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
✅ Deploy Preview for taupe-gaufre-c4e660 ready!
To edit notification comments on pull requests, go to your Netlify project configuration. |
40 tasks
HumphreyYang
approved these changes
May 21, 2026
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
2 participants
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Summary
This PR migrates legacy NumPy random API usage in
time_series_with_matrices.mdas part of QuantEcon/meta#299.rng = np.random.default_rng()at the first point of random use (the code cell withσ_u = 2.in the "Adding a random term" section) and reused it throughout the main lecture flow.population_moments.sample_yto accept an optionalrng=Noneparameter with an internal fallback; the call site in the main flow passesrng=rng.np.random.seed()).Details
np.random.normal→rng.normal(5 instances) andnp.random.rand→rng.random(3 instances).sample_y(self, n, rng=None)is backwards-compatible due to the default argument.Hi @mmcky and @HumphreyYang, I'd be grateful if you could take a look when you have time.