get_within_sequence_entropy()

Computes entropy for each individual sequence.

Function Usage

from sequenzo import get_within_sequence_entropy
result = get_within_sequence_entropy(seqdata, norm=True, base=np.e, silent=True)

Entry Parameters

• seqdata: SequenceData object.
• norm: normalize entropy by maximum entropy.
• base: logarithm base.
• silent: suppress progress messages.

Returns

DataFrame with sequence-level entropy values.

TraMineR Mapping

• Equivalent TraMineR function: TraMineR::seqient().

Authors

Code and documentation: Yuqi Liang

See Also

• Sequence Characteristics Indicators Overview maps all indicator families.
• Sequence Summary Statistics vs Sequence Characteristics Indicators explains when to use indicators versus statistics or distances.

References

Ritschard, G. (2023), "Measuring the nature of individual sequences", Sociological Methods and Research, 52(4), 2016-2049. doi:10.1177/00491241211036156.