Comments (12)
@shlff if you want that configuration to matplotlib
to exist for all users then it is probably best to go into https://github.com/QuantEcon/quantecon-book-networks
You could:
- add it in
__init__.py
, or - add it as a function that you call to setup
matplotlib
when the package is imported such asquantecon_book_networks.configure("matplotlib")
Option 2 is probably best as your not changing matplotlib
configuration by default when importing that package.
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OK, thanks @mmcky . @shlff , let's remember to check that the figures look OK after this PR is merged.
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Thanks for your great suggestion and comment @mmcky and @jstac .
Sure @jstac I will set up the environment using environment.yml
and compile the files on my local machine before you review the PR.
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Hi @jstac the figure saddle_1.pdf
in the current online website has been separated into 4 plots.
PR #39 combines these 4 figures together again, the same as the figure used in the textbook.
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Hi @mmcky , @jstac and I decide to generate the figures used in the network textbook directly from this repo.
To make the figures aligned with our original ones, we need lines 6-13 in a file called initialize.py to control the figure styles.
Do you think we should
- incorporate the corresponding code into somewhere of the current repo or
- push it to the new repo (https://github.com/QuantEcon/quantecon-book-networks)?
Or other options?
Looking forward to your advice.
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@mmcky , we would appreciate your advice here. The lines to be added require a latex installation. Will this be a problem for the GH build?
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@jstac the lines are matplotlib
configurations right?
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@jstac to answer your question adding latex
is no problem. We build pdf
now for the live sites via GitHub actions
etc.
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Question from 'Chapter 2 - Production -Backward linkages for 15 US sectors in 2019 '
Is hub-based eigenvector with centrality backward linkage coefficient matrix right?
backward linkage may view the sight from supply side, like i is supplier of j, so I think may be use authority-based is better?
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Thanks for your comment @Fdu-lijiachen . Are you referring to the color scheme of that figure?
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Thanks for your comment @Fdu-lijiachen . Are you referring to the color scheme of that figure?
Sorry,I mean this is a question I raised about Chapter 2, but I think I put it in the wrong place. I wonder if there is a place to discuss it with you?
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If you click on the green button near the top that says "new issue", you can open a new issue to describe the problem. That is our standard procedure. Otherwise, if you prefer, you can reach me by email via [email protected].
Your comments will be appreciated. It's very helpful to us if you can carefully describe the issue.
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Related Issues (16)
- NetworkX Self loops
- Referencing in code book. HOT 1
- Setup `quantecon_book_networks` as a PyPI package HOT 4
- Github icon 'view source' link is broken on each page.
- Issues with homepage HOT 3
- Code book needs to be checked for typos HOT 1
- Comments and typos in Chapter 1 HOT 3
- Typo in the preface HOT 1
- May I translate the code to Mathematica? HOT 2
- [improve] fix figures
- weakly chained substochastic HOT 6
- MAINT: Fix FutureWarning in data.py
- Update figures data HOT 3
- MAINT: Migrate code to be file based downloads
- [ch_intro] Not compatible with Google Colab HOT 1
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