Comments (1)
It is an union, because there could be missings in :c
if df2
did not have all keys (which cannot be checked upfront). You can use disallowmissing!
after the join.
from dataframes.jl.
Related Issues (20)
- 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
- 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
- Column types seem to change after inner-join between two DataFrames HOT 1
- using propertynames on GroupedDataFrame HOT 6
- Very slow to convert DBInterface (DuckDB) result HOT 1
- Add arbitrary matching function for joins HOT 3
- Add Tidier.jl to docs/src/man/querying_frameworks.md HOT 1
- join size warnings
- Type piracy of `reduce(vcat)` HOT 1
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from dataframes.jl.