Datamapplot 0.4 is out now, and has far more powerful and effective interactive plots.
Here is an example of a Data Map of 2.4 million papers on ArXiv, ready to be explored.
Performance on large datasets got a major overhaul, supporting million scale datasets with ease.
Datamapplot 0.4 also introduces new filtering and selection tools that integrate with existing search functionality.
Histogram filtering along a variable has been added, allowing interactive plots to be filtered by time, or even by categorical values.
Interactive lasso selection is now also possible.
Lasso selection supports custom actions, but a number of basic handlers are built in that can sample from the selection, generate LLM summaries, or create word-clouds.
Another selection handler allows for tagging of selections, and saving tags.
The new release is already available on PyPI, and coming soon to conda-forge.
$ pip install "datamapplot>=0.4"
Many thanks to all the contributors to this release!
Datamapplot 0.4 is out now, and has far more powerful and effective interactive plots.
Here is an example of a Data Map of 2.4 million papers on ArXiv, ready to be explored. Performance on large datasets got a major overhaul, supporting million scale datasets with ease.
Datamapplot 0.4 also introduces new filtering and selection tools that integrate with existing search functionality. Histogram filtering along a variable has been added, allowing interactive plots to be filtered by time, or even by categorical values.
Interactive lasso selection is now also possible. Lasso selection supports custom actions, but a number of basic handlers are built in that can sample from the selection, generate LLM summaries, or create word-clouds. Another selection handler allows for tagging of selections, and saving tags. The new release is already available on PyPI, and coming soon to conda-forge.
$ pip install "datamapplot>=0.4"Many thanks to all the contributors to this release!
