Comments (3)
I completely concur. Let's go with your proposed design. We should specify, however, that any meta-data (if we had any) associated with DataFrames, would get copied from df1.
from dataframes.jl.
I just pushed a change to fix this plus added hcat and vcat. I also deleted the version of cbind that allowed name/column pairs. I think we should add that back in once Julia has keyword function arguments. As it is now, the easiest way to get that is assignment.
It looks like I should have referenced this issue in my push. Anyway, I'll wait to close this until someone else looks at it.
from dataframes.jl.
Looks good! (Yeah, referring to issue numbers is always a good idea...)
from dataframes.jl.
Related Issues (20)
- Better error message when forming a DataFrame from a vector of dictionaries with missing data. HOT 2
- `describe` is slow HOT 3
- 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
- `join` should not introduce `Missing` types to schema HOT 1
- Consider removing Tables.allocatecolumn in vcat
- DataFrame(t::Table) converts PooledVector columns HOT 2
- Sampling GroupedDataFrames (rand) HOT 5
- Julia 1.12.0-DEV: testing DataFrames throws a 'method dispatch ambiguities' error HOT 2
- Add options to `join` missing error? HOT 1
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from dataframes.jl.