siibra.features.tabular.tabular

Base type of features in tabular formats.

Module Contents

Classes

Tabular

Represents a table of different measures anchored to a brain location.

class siibra.features.tabular.tabular.Tabular(description: str, modality: str, anchor: siibra.features.anchor.AnatomicalAnchor, data: pandas.DataFrame, datasets: list = [], id: str = None)

Represents a table of different measures anchored to a brain location.

Columns represent different types of values, while rows represent different samples. The number of columns might thus be interpreted as the feature dimension.

As an example, receptor fingerprints use rows to represent different neurotransmitter receptors, and separate columns for the mean and standard deviations measure across multiple tissue samples.

property data

plot(*args, backend='matplotlib', **kwargs)

Create a bar plot of a columns of the data. :param backend: “matplotlib”, “plotly”, or others supported by pandas DataFrame

plotting backend.

Parameters:

**kwargs – takes Matplotlib.pyplot keyword arguments