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mmcky avatar mmcky commented on May 14, 2024 1

@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:

  1. add it in __init__.py, or
  2. add it as a function that you call to setup matplotlib when the package is imported such as quantecon_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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jstac avatar jstac commented on May 14, 2024 1

OK, thanks @mmcky . @shlff , let's remember to check that the figures look OK after this PR is merged.

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shlff avatar shlff commented on May 14, 2024 1

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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shlff avatar shlff commented on May 14, 2024

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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shlff avatar shlff commented on May 14, 2024

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

Or other options?

Looking forward to your advice.

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jstac avatar jstac commented on May 14, 2024

@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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mmcky avatar mmcky commented on May 14, 2024

@jstac the lines are matplotlib configurations right?

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mmcky avatar mmcky commented on May 14, 2024

@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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Fdu-lijiachen avatar Fdu-lijiachen commented on May 14, 2024

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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jstac avatar jstac commented on May 14, 2024

Thanks for your comment @Fdu-lijiachen . Are you referring to the color scheme of that figure?

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Fdu-lijiachen avatar Fdu-lijiachen commented on May 14, 2024

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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jstac avatar jstac commented on May 14, 2024

Hi @Fdu-lijiachen

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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