Comments (3)
It's because median
and quantile
are slow, but perhaps this could be parallelized so we don't have to wait for each of them sequentially.
from dataframes.jl.
This is an issue for StatsBase.jl:
julia> @which describe(xs)
describe(x)
@ StatsBase ~\.julia\packages\StatsBase\WLz8A\src\scalarstats.jl:920
from dataframes.jl.
I opened JuliaStats/StatsBase.jl#912 as it is impossible to transfer issues across organizations
from dataframes.jl.
Related Issues (20)
- Add rename!(::DataFrame, ::Pair{Regex, SubstitutionString}) method
- GroupBy then combine changes column order HOT 2
- Inconsistent Mean Calculation in Grouped DataFrame Compared to Overall DataFrame HOT 2
- What is the best way to write large DataFrames efficiently and with high performance in Julia while minimizing memory usage? HOT 4
- Segmentation Fault when reading compressed file HOT 1
- Revisit spreading for `AsTable` output` HOT 6
- Better error message when forming a DataFrame from a vector of dictionaries with missing data. HOT 2
- CartesianIndex error in Julia 1.11 HOT 4
- `DataFrame(x=Int[], y=Int)` HOT 3
- Add comparison function for dataframes which can handle both isapprox and isequal column types HOT 2
- unique fails with column-type FixedDecimal HOT 5
- mapcols! should modify the parent of a SubDataFrame HOT 11
- Feature request: Pairs in stack HOT 2
- Grouped DataFrame with array elements fails to combine HOT 4
- error when combining a grouped empty dataframe using `first` HOT 6
- Short circuit && on subset? HOT 1
- Integer strings as colnames/selectors are error prone HOT 2
- Suggestion - Matrix Syntax for hcat (as well as vcat) HOT 4
- Document custom generation of column names in manual HOT 9
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from dataframes.jl.