Comments (3)
HarlanH
commented on May 23, 2024
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.
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tshort
commented on May 23, 2024
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.
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HarlanH
commented on May 23, 2024
Looks good! (Yeah, referring to issue numbers is always a good idea...)
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Related Issues (20)
- Revisit spreading for `AsTable` output` HOT 6
- 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
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