Visualization and interactive manipulation of the collation results from CollateX with a jupyter notebook.
This repository contains:
- collation results of the Declamations of Calpurnius Flaccus in JSON format
- jupyter notebooks where it is possible to modify, search or filter the collation, and save the new results. The pycoviz-appmode notebook is meant to be viewed as an app in browser when launching binder
- HTML alignment tables to visualize not only variant readings, but also notes, links to digital facsimile, etc.
- Codemeta metadata for citing this tool
The files are provided as examples of collation results to use with the notebook, and do not represent the final collation of Calpurnius. One file has consecutive matching tokens joint into segments (calpurnius-collation-joint-BCMNPH.json), and the other file has separated tokens (calpurnius-collation-sep-BCMNPH.json).
The notebook pycoviz.ipynb is intended for exploring the collation of Calpurnius Flaccus, with interactive widgets.
It allows users to:
- Modify the collation: move tokens, add or delete rows, add or del notes, and save the new JSON results
- Filter the collation: select readings from the collation in order to find unique readings of a witness, select a group of witnesses which agree together, or find differences between two specific witnesses
- Save HTML tables: selections of readings can be saved in HTML tables, more comprehensive than the basic tables displayed within the notebook
- Search the collation
- Clarify a reading: display information about this reading such as a normalized form of the word, the page or folio and line where it appears in the witness, a link to the digital image of the page when available, etc.
In order to use the juypter notebook, you should have python and jupyter installed. If this is not the case, follow the instructions given in the jupyter documentation: https://jupyter.readthedocs.io/en/latest/install.html.
Install the widgets by following the instructions here: https://ipywidgets.readthedocs.io/en/latest/user_install.html.
Download the repository collation-viz. Unzip and open a command line window from the newly created folder, or navigate to the folder. Type the following instruction to open the notebook in a browser webpage:
jupyter notebook pycoviz.ipynb
When the notebook is open, select Cell > Run All. You are now ready to explore the collation of Calpurnius Flaccus!
For a demonstration of how PyCoviz can help to analyze a textual tradition, watch the Digital Classicist presentation Collation Visualization: Helping Users to Explore Collated Manuscripts: https://www.youtube.com/watch?v=1YB_mFJ9SlQ.
If you wish to use the notebook for your own collation, add your JSON file in the json-collations folder. Then in the notebook, change the code of the cell IMPORT DATA > Collation import:
- update the
pathvariable with your own JSON file - change the
base_textvariable to chose a base text from your own witnesses (or leave it empty if you do not want to set a base text) - run the modified cell again, to upload your collation results
Preview of a collation table displayed in HTML here.
- hidden notes can be displayed by clicking on (i) symbols
- hidden location (page/folio and line numbers) can be displayed for readings from the ID column
- when available, the location will link to a digital facsimile