get_weighted_five_number_summary()

get_weighted_five_number_summary() computes a weighted five-number summary: min, Q1, median, Q3, and max.

Function Usage

from sequenzo import get_weighted_five_number_summary
summary = get_weighted_five_number_summary(values, weights=None, remove_missing=True)

Entry Parameters

Parameter	Required	Type	Description
values	✓	array-like	Numeric values to summarize.
weights	✗	array-like or None	Optional weights. If None, all values are equally weighted.
remove_missing	✗	bool	If True, remove missing values before computing.

What It Does

• Validates inputs and aligns values and weights.
• Optionally removes missing values.
• Computes weighted quantiles and returns a five-number summary array in the order: min, Q1, median, Q3, max.

Examples

from sequenzo import get_weighted_five_number_summary

values = [2, 4, 8, 10]
weights = [1, 1, 2, 1]

summary = get_weighted_five_number_summary(values, weights=weights)
print(summary)

R Counterpart

• Closest R function: weighted.fivenum
• Mapping note: Sequenzo marks this as equivalent helper behavior in code and returns weighted five-number statistics.

Notes

• This is a general weighted descriptive statistics function.
• It is not specific to TraMineR, but is useful in sequence-analysis summaries.

Authors

Code: Yuqi Liang

Documentation: Yuqi Liang