get_transition_count_summary()

get_transition_count_summary() returns descriptive summary statistics for transition counts.

Function Usage

from sequenzo import get_transition_count_summary
result = get_transition_count_summary(seqdata, normalize=False, probability_weighted=False)

Entry Parameters

Parameter	Required	Type	Description
seqdata	✓	SequenceData	Input sequence dataset.
normalize	✗	bool	Summarize normalized transition values.
probability_weighted	✗	bool	Summarize probability-weighted transitions.

What It Does

• Computes transition counts according to the selected options.
• Returns a one-row summary table with count, mean, median, min, q1, q3, max.

Returns

pd.DataFrame.

Examples

from sequenzo import get_transition_count_summary

summary = get_transition_count_summary(seqdata, normalize=False)
print(summary)

R Counterpart

• Closest TraMineR function(s): TraMineR::seqtransn() (often summarized with summary(...) in R workflows)
• Mapping note: Sequenzo first computes transition counts with TraMineR::seqtransn()-style logic, then returns a one-row summary table (count, mean, median, min, q1, q3, max).

See Also

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

Authors

Code: Yuqi Liang

Documentation: Yuqi Liang