r - Julia equivalent of dplyr's bind_cols and bind_rows -


is there julia equivalent of dplyr's bind_cols , bind_rows? specifically, i'm looking bind_rows function match column names regardless of order , fill in na's non-matching columns

edit: r example of both:

library(dplyr) df1 = data.frame(a = 1, b = 1) df2 = data.frame(b = 1, c = 1) df3 = data.frame(c = 1, d = 1)  bind_rows(df1, df2)     b  c 1  1 1 na 2 na 1  1  bind_cols(df1, df3)    b c d 1 1 1 1 1

perhaps julia's vcat , hcat functions satisfy requirements.

julia> using dataframes  julia> df1 = dataframe(a = 1, b = 1) 1x2 dataframes.dataframe | row | | b | |-----|---|---| | 1   | 1 | 1 |  julia> df2 = dataframe(b = 1, c = 1) 1x2 dataframes.dataframe | row | b | c | |-----|---|---| | 1   | 1 | 1 |  julia> df3 = dataframe(c = 1, d = 1) 1x2 dataframes.dataframe | row | c | d | |-----|---|---| | 1   | 1 | 1 |  julia> vcat(df1, df2) 2x3 dataframes.dataframe | row |  | b | c  | |-----|----|---|----| | 1   | 1  | 1 | na | | 2   | na | 1 | 1  |  julia> hcat(df1, df3) 1x4 dataframes.dataframe | row | | b | c | d | |-----|---|---|---|---| | 1   | 1 | 1 | 1 | 1 |

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