# TimeDataFrames package? (not TimeArray)

**URL:** <https://discourse.julialang.org/t/timedataframes-package-not-timearray/80106>\
**Category:** Statistics\
**Created:** [April 27, 2022, 7:47am UTC](https://discourse.julialang.org/t/timedataframes-package-not-timearray/80106 "2022-04-27T07:47:04Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![Emmanuel-R8](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/emmanuel-r8/32/11839_2.png) [@Emmanuel-R8](https://discourse.julialang.org/u/Emmanuel-R8)\
**Post date:** [April 27, 2022, 7:47am UTC](https://discourse.julialang.org/t/timedataframes-package-not-timearray/80106/1 "2022-04-27T07:47:04Z")

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I am looking for a package to manipulate general time series. The `TimeSeries` package is restricted to a `TimeArray` structure which slaps dates/times on top of an array. All the elements of the array have to be of the same type.

I am looking for something that slaps time on top of a `DataFrame` where each column would have its own type, with the expected guarantees coming from time series (times are unique and sorted).

Does it exist?

(I found TSML.jl and MessyTimeSeries.jl already)

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**Author:** ![Ajay\_Shah](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/ajay_shah/32/10520_2.png) [@Ajay\_Shah](https://discourse.julialang.org/u/Ajay_Shah)\
**Post date:** [April 27, 2022, 8:25am UTC](https://discourse.julialang.org/t/timedataframes-package-not-timearray/80106/2 "2022-04-27T08:25:30Z")

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We have been building TSx.jl, I just wrote about this in [Pushing Julia/statistics development](https://discourse.julialang.org/t/pushing-julia-statistics-development/80111)

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**Author:** ![Emmanuel-R8](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/emmanuel-r8/32/11839_2.png) [@Emmanuel-R8](https://discourse.julialang.org/u/Emmanuel-R8)\
**Post date:** [April 27, 2022, 8:31am UTC](https://discourse.julialang.org/t/timedataframes-package-not-timearray/80106/3 "2022-04-27T08:31:19Z")

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Perfect! Thanks.