Replace & Fill

Base.replace — Function

replace(t_array::TimeArray, old_new::Pair...; [, count]) -> TimeArray

Return a copy of t_array which has all values of old replaced by new in accordance with old_new pair. If count is specified, then replace at most count occurrences in total.

Examples

julia> using Dates

julia> t_array = TimeArray([
           TimeTick(DateTime("2024-01-01"), 1.0),
           TimeTick(DateTime("2024-01-02"), 2.0),
           TimeTick(DateTime("2024-01-03"), 3.0),
       ]);

julia> replace(t_array, 1.0 => 10.0, 2.0 => -2.0)
3-element TimeArray{DateTime, Float64}:
 TimeTick(2024-01-01T00:00:00, 10.0)
 TimeTick(2024-01-02T00:00:00, -2.0)
 TimeTick(2024-01-03T00:00:00, 3.0)

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replace(f::Function, t_array::TimeArray; [, count]) -> TimeArray

Return a new array where each element is the result of function f applied to elements of t_array. If count is specified, then replace at most count occurrences in total.

Examples

julia> using Dates

julia> t_array = TimeArray([
           TimeTick(DateTime("2024-01-01"), 1.0),
           TimeTick(DateTime("2024-01-02"), 2.0),
           TimeTick(DateTime("2024-01-03"), 3.0),
       ]);

julia> replace(x -> isodd(x) ? -x : x, t_array)
3-element TimeArray{DateTime, Float64}:
 TimeTick(2024-01-01T00:00:00, -1.0)
 TimeTick(2024-01-02T00:00:00, 2.0)
 TimeTick(2024-01-03T00:00:00, -3.0)

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Base.append! — Function

append!(t_array::TimeArray, new_ticks::AbstractVector{TimeTick}) -> TimeArray

Add new values from items to new_ticks and sorts them by date in ascending order.

Warning

Avoid inserting data in small batches, as each call to the append method triggers sorting.

Examples

julia> using Dates

julia> t_array = TimeArray([
           TimeTick(DateTime("2024-01-01"), 1.0),
           TimeTick(DateTime("2024-01-02"), 2.0),
           TimeTick(DateTime("2024-01-03"), 3.0),
       ]);

julia> new_ticks = [
           TimeTick(DateTime("2024-01-01"), 1.0),
           TimeTick(DateTime("2024-01-02"), 2.0),
           TimeTick(DateTime("2024-01-03"), 3.0),
       ];

julia> append!(t_array, new_ticks)
6-element TimeArray{DateTime, Float64}:
 TimeTick(2024-01-01T00:00:00, 1.0)
 TimeTick(2024-01-01T00:00:00, 1.0)
 TimeTick(2024-01-02T00:00:00, 2.0)
 TimeTick(2024-01-02T00:00:00, 2.0)
 TimeTick(2024-01-03T00:00:00, 3.0)
 TimeTick(2024-01-03T00:00:00, 3.0)

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Base.vcat — Function

vcat(l_array::TimeArray, r_array::TimeArray) -> TimeArray

Concatenates two TimeArray objects vertically.

Examples

julia> using Dates

julia> t_array_1 = TimeArray([
           TimeTick(DateTime("2024-01-01"), 1.0),
           TimeTick(DateTime("2024-01-02"), 2.0),
           TimeTick(DateTime("2024-01-03"), 3.0),
       ]);

julia> t_array_2 = TimeArray([
           TimeTick(DateTime("2024-01-04"), 1.0),
           TimeTick(DateTime("2024-01-02"), 2.0),
           TimeTick(DateTime("2024-01-01"), 3.0),
       ]);

julia> vcat(t_array_1, t_array_2)
6-element TimeArray{DateTime, Float64}:
 TimeTick(2024-01-01T00:00:00, 1.0)
 TimeTick(2024-01-01T00:00:00, 3.0)
 TimeTick(2024-01-02T00:00:00, 2.0)
 TimeTick(2024-01-02T00:00:00, 2.0)
 TimeTick(2024-01-03T00:00:00, 3.0)
 TimeTick(2024-01-04T00:00:00, 1.0)

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Base.cumsum — Function

cumsum(t_array::TimeArray; kw...) -> TimeArray

Cumulative sum along the TimeTick values.

Examples

julia> using Dates

julia> t_array = TimeArray([
           TimeTick(DateTime("2024-01-01"), 1.0),
           TimeTick(DateTime("2024-01-02"), 2.0),
           TimeTick(DateTime("2024-01-03"), 3.0),
       ]);

julia> cumsum(t_array)
3-element TimeArray{DateTime, Float64}:
 TimeTick(2024-01-01T00:00:00, 1.0)
 TimeTick(2024-01-02T00:00:00, 3.0)
 TimeTick(2024-01-03T00:00:00, 6.0)

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TimeArrays.ta_backward_fill — Function

ta_backward_fill([, pattern::Function], t_array::TimeArray) -> TimeArray

Return an array where elements that match pattern are replaced by nearest previous non-pattern value in t_array. By default pattern is isnan function.

Examples

julia> using Dates

julia> t_array = TimeArray([
           TimeTick(DateTime("2024-01-03"), 1.0),
           TimeTick(DateTime("2024-01-07"), NaN),
           TimeTick(DateTime("2024-01-09"), NaN),
           TimeTick(DateTime("2024-01-10"), 5.0),
       ]);

julia> ta_backward_fill(t_array)
4-element TimeArray{DateTime, Float64}:
 TimeTick(2024-01-03T00:00:00, 1.0)
 TimeTick(2024-01-07T00:00:00, 1.0)
 TimeTick(2024-01-09T00:00:00, 1.0)
 TimeTick(2024-01-10T00:00:00, 5.0)

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TimeArrays.ta_forward_fill — Function

ta_forward_fill([, pattern::Function], t_array::TimeArray) -> TimeArray

Return an array where elements that match pattern are replaced by nearest next non-pattern value in t_array. By default pattern is isnan function.

Examples

julia> using Dates

julia> t_array = TimeArray([
           TimeTick(DateTime("2024-01-01"), 2.0),
           TimeTick(DateTime("2024-01-03"), NaN),
           TimeTick(DateTime("2024-01-04"), NaN),
           TimeTick(DateTime("2024-01-08"), 7.0),
       ]);

julia> ta_forward_fill(t_array)
4-element TimeArray{DateTime, Float64}:
 TimeTick(2024-01-01T00:00:00, 2.0)
 TimeTick(2024-01-03T00:00:00, 7.0)
 TimeTick(2024-01-04T00:00:00, 7.0)
 TimeTick(2024-01-08T00:00:00, 7.0)

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TimeArrays.ta_linear_fill — Function

ta_linear_fill([, pattern::Function], t_array::TimeArray) -> TimeArray

Return an array where elements that match pattern are replaced by linear interpolation between nearest not-pattern values in t_array. By default pattern is isnan function.

Examples

julia> using Dates

julia> t_array = TimeArray([
           TimeTick(DateTime("2024-01-02"), 2.0),
           TimeTick(DateTime("2024-01-04"), NaN),
           TimeTick(DateTime("2024-01-06"), NaN),
           TimeTick(DateTime("2024-01-08"), 8.0),
       ]);

julia> ta_linear_fill(t_array)
4-element TimeArray{DateTime, Float64}:
 TimeTick(2024-01-02T00:00:00, 2.0)
 TimeTick(2024-01-04T00:00:00, 4.0)
 TimeTick(2024-01-06T00:00:00, 6.0)
 TimeTick(2024-01-08T00:00:00, 8.0)

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