_Date: 23/11/20_
Additions
- new module: `models` for modelling networks and neurons
- new functions `navis.resample_along_axis`, `navis.insert_nodes`, `navis.remove_nodes`
- full rework of `navis.Dotprops`:
- make them a subclass of BaseNeuron
- implement `nat:dotprops` in `navis.make_dotprops`
- added `navis.read_nrrd` and `navis.write_nrrd`
- side-effect: renamed `navis.from_swc` :octicons-arrow-right-24: `read_swc` and `navis.to_swc` :octicons-arrow-right-24: `write_swc`
- improved conversion between nat and {{ navis }} `Dotprops`
- full rework of topology-related functions:
- `navis.strahler_index`, `navis.segregation_index`, `navis.bending_flow`, `navis.synapse_flow_centrality` and `navis.split_axon_dendrite` now work better, faster and more accurately. See their docs for details.
- new function: `navis.arbor_segregation_index`
- new `color_by` and `shade_by` parameters for `plot3d` and `plot2d` that lets you color/shade a
neuron by custom properties (e.g. by Strahler index or compartment)
Improvements
- neurons are now more memory efficient:
- pandas "categoricals" are used for connector and node "type" and "label" columns
- add a `.memory_usage` method analogous to that of `pandas.DataFrames`
- `navis.NeuronList` can now be pickled!
- made `navis.Viewer` faster
- `navis.prune_twigs` can now (optionally) prune by `exactly` the desired length
- improved `navis.NeuronList.apply`
Fixes
- small bugfixes and improvements
**Full Changelog**: [v0.3.2...v0.3.3](https://github.com/navis-org/navis/compare/v0.3.2...v0.3.3)