indexedSeries

indexedSeries(index, value)

index and value are vectors of the same length. index must be monotonically increasing with no duplicate values.

indexedSeries supports alignment operations for panel data. When performing binary operations between matrices or vectors, calculations are performed on the corresponding elements, and the shape of these matrices or vectors must be the same.

But when performing binary operations between indexed series or between indexed series and indexed matrix, the data is automatically aligned according to the row or column labels (index), and the shape of the matrices or series can be the same or not.

Example 1. Length can be equal or unequal in operations between indexed series, The data is aligned according to the index.

s1 = indexedSeries(2012.01.01..2012.01.04, [10, 20, 30, 40])
s2 = indexedSeries(2011.12.30..2012.01.01, [50, 60, 70])
res = s1 + s2

Example 2. In a calculation with an indexed series and a vector, the length must be equal.

s1 = indexedSeries(2012.01.01..2012.01.04, [10, 20, 30, 40])
v = [1,2,3,4]
res = s1+v

Example 3. In a calculation with an indexed series and an indexed matrix, the inputs are aligned based on the index.

s1 = indexedSeries(2012.01.01 2012.01.03 2012.01.04 2012.01.06, [10, 20, 30, 40])
m = matrix(1..6, 11..16).rename!(2012.01.01..2012.01.06,`x`y).setIndexedMatrix!()
s1 + m

Example 4. In a calculation with an indexed series and a matrix without index, they must be of the same length.

s1 = indexedSeries(2012.01.01..2012.01.04, [10, 20, 30, 40])
m = matrix([1,1,1,1], [2,2,2,2])
res = s1 pow m