Could a DataFrameRow be shown as a record rather than as a table?

[akosuas]

Currently a single row is still printed as a "DataFrame" - i.e. a 1-row table, with truncated columns. I wonder if it would be more natural to show a single row (a "record") vertically, with one row per field? This would make it much easier to inspect a single record that has a lot of fields/columns.

[bkamins]

We could, but it would probably require a completely separate code path for this.

@ronisbr - any opinion on this?

[tcovert]

Note, this would be similar to dplyr's glimpse function which I quite like...

[pdeffebach]

This also seems nice.

Tables.jl has a row type which prints like a named tuple. We could change upstream and copy their printing as well.

[quinnj]

Yes, if anyone wants to improve AbstractRow/AbstractColumns default printing, I would love a PR: https://github.com/JuliaData/Tables.jl/blob/bdde6d343a9717cf78c7b442d142a9699688dbdc/src/Tables.jl#L193

[bjarthur]

worth noting that this is what pandas does:

>>> row
Unnamed: 0                                AAACCTGAGGGCTCTC-300.1.1
cell                                      AAACCTGAGGGCTCTC-300.1.1
n.umi                                                         2319
time.point                                             300_minutes
batch                                        Waterston_300_minutes
Size_Factor                                                1.45821
cell.type                                                      NaN
cell.subtype                                                   NaN
plot.cell.type                                                 NaN
raw.embryo.time                                                260
embryo.time                                                  220.0
embryo.time.bin                                            210-270
raw.embryo.time.bin                                        210-270
lineage                                                   MSxapaap
passed_initial_QC_or_later_whitelisted                        True
Name: 1, dtype: object