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Ruidy
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Add comprehensive documentation for all new functions: - TakeWhile: take elements while predicate is true - DropWhile: drop elements while predicate is true - Scan: running accumulator (prefix scan) - First/FirstN: get first element(s) safely - Init: all but last element - Intersperse: insert separator between elements - Sliding: sliding window views - FoldRight: right-to-left fold/reduce - Tap: side effects without mutation - Transpose: flip matrix rows/columns - Unzip: split tuples into separate slices - ParallelReduce: parallel reduction (experimental) - Replicate: create n copies of a value Each doc includes: - Clear description - Code examples with output - Common use cases - Edge case handling 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
990 B
990 B
| title | date |
|---|---|
| Transpose | 2025-01-16T00:00:00-00:00 |
Transpose flips a matrix over its diagonal, swapping rows and columns. Returns an empty slice if the input is empty. Assumes all rows have the same length (uses the length of the first row).
package main
import (
"fmt"
u "github.com/rjNemo/underscore"
)
func main() {
// 2x3 matrix becomes 3x2 matrix
matrix := [][]int{
{1, 2, 3},
{4, 5, 6},
}
transposed := u.Transpose(matrix)
fmt.Println(transposed)
// [[1, 4], [2, 5], [3, 6]]
// Square matrix
square := [][]int{
{1, 2},
{3, 4},
}
fmt.Println(u.Transpose(square))
// [[1, 3], [2, 4]]
// Use case: converting rows to columns for processing
data := [][]string{
{"Name", "Age", "City"},
{"Alice", "30", "NYC"},
{"Bob", "25", "LA"},
}
byColumn := u.Transpose(data)
fmt.Println("Names:", byColumn[0]) // [Name Alice Bob]
fmt.Println("Ages:", byColumn[1]) // [Age 30 25]
fmt.Println("Cities:", byColumn[2]) // [City NYC LA]
}