Results 60 issues of Jérôme Dockès

closes #2

was removed in #2507 as it was not working and causing trouble for some (at least one :) ) users. see also https://github.com/nilearn/nilearn/pull/2477#issuecomment-635917872

Enhancement
Infrastructure
Maintenance

### Affected pages reference for this function: https://nilearn.github.io/stable/modules/generated/nilearn.datasets.fetch_abide_pcp.html#nilearn.datasets.fetch_abide_pcp

Documentation

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# `fetch_atlas_aal` - It is not used in any example - Its interface is inconsistent with other atlases, where the label for region `j` is found in `atlas.labels[atlas.indices[j]]` whereas other...

API
Discussion
Datasets
effort: low
priority: low

`NiftiLabelsMasker.__init__` takes a discrete atlas (3D map of integers, `labels_img`) and a list of labels (region names, strings, `labels`). It is assumed that values in the image are region ids...

Documentation
API
Atlas
Masker

ATM the `scores_` of the Searchlight are in the least practical form for an image: the full 3d data as a numpy array. It would be useful to have a...

Good first issue
Impact: low
Priority: low
hacktoberfest

added a placeholder basic plotting function - closes https://github.com/nilearn/nilearn/issues/4098 TODO - [x] ~~change PolyMesh, PolyData to constrain keys to be "left" and "right"~~ (required for plotting when we want medial...

Plotting
Priority: high
Blocker
Surface

fixes #874 and supersedes #848 The goal of this PR is to have a way to apply column-wise transformations to a subset of a (polars or pandas) dataframe's columns. This...

### Problem Description In a table representing events with timestamps, it is often useful to detect sessions -- groups of events that occurred close to each other. For example, a...

enhancement