get_within_sequence_entropy()

Computes entropy for each individual sequence.

Function

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

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: seqient.

Author

Code and documentation: Yuqi Liang

References

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