get_transition_count_summary()
get_transition_count_summary() returns descriptive summary statistics for transition counts.
Function Usage
python
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.
Examples
python
from sequenzo import get_transition_count_summary
summary = get_transition_count_summary(seqdata, normalize=False)
print(summary)R Counterpart
- Closest TraMineR function(s):
seqtransn(often summarized withsummary(...)in R workflows) - Mapping note: Sequenzo first computes transition counts with
seqtransn-style logic, then returns a one-row summary table (count,mean,median,min,q1,q3,max).
Authors
Code: Yuqi Liang
Documentation: Yuqi Liang