tablecloth.api.utils

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->str
as-regular-dataset
column-names
grouped?
iterable-sequence?
map-inst?
mark-as-group
parallel-concat
process-group-data
rank
read-nippy
type?
unmark-group
write-nippy!

->str^clj

(->str v)

source

as-regular-dataset^clj

(as-regular-dataset ds)

Remove grouping tag

Remove grouping tag

source raw docstring

column-names^clj

(column-names ds)

(column-names ds columns-selector)

(column-names ds columns-selector meta-field)

source

grouped?^clj

(grouped? ds)

Is dataset represents grouped dataset (result of group-by)?

Is `dataset` represents grouped dataset (result of `group-by`)?

source raw docstring

iterable-sequence?^clj

(iterable-sequence? xs)

Check if object is sequential, is column or maybe a reader (iterable)?

Check if object is sequential, is column or maybe a reader (iterable)?

source raw docstring

map-inst?^clj

(map-inst? m)

source

mark-as-group^clj

(mark-as-group ds)

Add grouping tag

Add grouping tag

source raw docstring

parallel-concat^clj

(parallel-concat & dss)

source

process-group-data^clj

(process-group-data ds f)

(process-group-data ds f parallel?)

source

rank^clj

(rank vs)

(rank vs ties)

(rank vs ties desc?)

Sample ranks. See R docs. Rank uses 0 based indexing.

Possible tie strategies: :average, :first, :last, :random, :min, :max, :dense. :dense is the same as in data.table::frank from R

Sample ranks. See [R docs](https://www.rdocumentation.org/packages/base/versions/3.6.1/topics/rank).
Rank uses 0 based indexing.

Possible tie strategies: `:average`, `:first`, `:last`, `:random`, `:min`, `:max`, `:dense`.
`:dense` is the same as in `data.table::frank` from R

source raw docstring