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More thoughts on print method #95

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hadley opened this issue Jun 15, 2016 · 7 comments
Closed

More thoughts on print method #95

hadley opened this issue Jun 15, 2016 · 7 comments

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@hadley
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@hadley hadley commented Jun 15, 2016

While I like the <> in the column descs, I don't like it so much in the overall object description - I think it's a bit distracting.

So how about instead of:

<tibble [32 x 11]>
     mpg   cyl  disp    hp  drat    wt  qsec    vs    am  gear  carb
*  <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1   21.0     6 160.0   110  3.90 2.620 16.46     0     1     4     4
2   21.0     6 160.0   110  3.90 2.875 17.02     0     1     4     4
3   22.8     4 108.0    93  3.85 2.320 18.61     1     1     4     1

We have something like this:

# A tibble with 32 rows and 11 columns
     mpg   cyl  disp    hp  drat    wt  qsec    vs    am  gear  carb
*  <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1   21.0     6 160.0   110  3.90 2.620 16.46     0     1     4     4
2   21.0     6 160.0   110  3.90 2.875 17.02     0     1     4     4
3   22.8     4 108.0    93  3.85 2.320 18.61     1     1     4     1

Where "A tibble with ..." is generated by a new obj_desc() generic which would return a character vector giving a (potentially) multiple line textual description. print.tbl_df would add the # (and enough spaces to make it line up with the row numbers) and the new lines.
@hadley hadley closed this Jun 15, 2016
@hadley hadley reopened this Jun 15, 2016
@krlmlr
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@krlmlr krlmlr commented Jun 16, 2016

I actually liked the # A 32 x 11 tibble variant -- did you mean to remove that comment?
@hadley
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@hadley hadley commented Jun 16, 2016

Hmmm, I thought it looked ok, but maybe it seems ok now. Here it is again a long with another variant:

# A 32 x 11 tibble
     mpg   cyl  disp    hp  drat    wt  qsec    vs    am  gear  carb
*  <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1   21.0     6 160.0   110  3.90 2.620 16.46     0     1     4     4
2   21.0     6 160.0   110  3.90 2.875 17.02     0     1     4     4
3   22.8     4 108.0    93  3.85 2.320 18.61     1     1     4     1

# A tibble: 32 x 11
     mpg   cyl  disp    hp  drat    wt  qsec    vs    am  gear  carb
*  <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1   21.0     6 160.0   110  3.90 2.620 16.46     0     1     4     4
2   21.0     6 160.0   110  3.90 2.875 17.02     0     1     4     4
3   22.8     4 108.0    93  3.85 2.320 18.61     1     1     4     1
@dracodoc
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@dracodoc dracodoc commented Jun 16, 2016

How about this:
Row description is close to last row, column description is close to columns. Not printed rows or columns are marked with ...

                                          [11 in 11 columns printed]
     mpg   cyl  disp    hp  drat    wt  qsec    vs    am  gear  carb 
*  <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> 
1   21.0     6 160.0   110  3.90 2.620 16.46     0     1     4     4
2   21.0     6 160.0   110  3.90 2.875 17.02     0     1     4     4
3   22.8     4 108.0    93  3.85 2.320 18.61     1     1     4     1
[3 in 3 rows printed]

                                         [ 11 in 11 columns printed]
     mpg   cyl  disp    hp  drat    wt  qsec    vs    am  gear  carb 
*  <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> 
1   21.0     6 160.0   110  3.90 2.620 16.46     0     1     4     4
2   21.0     6 160.0   110  3.90 2.875 17.02     0     1     4     4
3   22.8     4 108.0    93  3.85 2.320 18.61     1     1     4     1
...
[3 in 32 rows printed]

                               [9 in 11 columns printed] ..
     mpg   cyl  disp    hp  drat    wt  qsec    vs    am ..
*  <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> ..
1   21.0     6 160.0   110  3.90 2.620 16.46     0     1 ..
2   21.0     6 160.0   110  3.90 2.875 17.02     0     1 ..
3   22.8     4 108.0    93  3.85 2.320 18.61     1     1 ..
...
[3 in 32 rows printed]

There could also be an option(global option?) to show names of columns that not printed.
@krlmlr krlmlr closed this in 53b1a6a Jun 16, 2016
krlmlr pushed a commit that referenced this issue Jun 16, 2016
Kirill Müller
Merge tag 'v1.0-9'
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7b7a0c1 
- Change formatting of summary line: Begins with hash `#` and contains more text (#95).
- Correctly print list of lists (#97).
@krlmlr
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@krlmlr krlmlr commented Jun 16, 2016

Just merged an implementation, please comment/reopen/open a new issue in case of any problems.
@krlmlr
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@krlmlr krlmlr commented Jun 18, 2016

@dracodoc: Columns that would make the output too wide are already printed, see the n_extra argument. I don't really like splitting number of rows and columns like in your example, in particular because other information (think SQL sources or grouped data frames) also needs to be printed. Nevertheless I appreciate your input.
@dracodoc
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@dracodoc dracodoc commented Jun 18, 2016

No problem, I just felt it's natural to put row number after the last row. Of course you need to consider all cases and get a balance.
krlmlr pushed a commit that referenced this issue Jul 4, 2016
Kirill Müller
Merge tag 'v1.1'
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361c692 
Follow-up release.

- `tibble()` is no longer an alias for `frame_data()` (#82).
- Remove `tbl_df()` (#57).
- `$` returns `NULL` if column not found, without partial matching. A warning is given (#109).
- `[[` returns `NULL` if column not found (#109).

- Reworked output: More concise summary (begins with hash `#` and contains more text (#95)), removed empty line, showing number of hidden rows and columns (#51). The trailing metadata also begins with hash `#` (#101). Presence of row names is indicated by a star in printed output (#72).
- Format `NA` values in character columns as `<NA>`, like `print.data.frame()` does (#69).
- The number of printed extra cols is now an option (#68, @lionel-).
- Computation of column width properly handles wide (e.g., Chinese) characters, tests still fail on Windows (#100).
- `glimpse()` shows nesting structure for lists and uses angle brackets for type (#98).
- Tibbles with `POSIXlt` columns can be printed now, the text `<POSIXlt>` is shown as placeholder to encourage usage of `POSIXct` (#86).
- `type_sum()` shows only topmost class for S3 objects.

- Strict checking of integer and logical column indexes. For integers, passing a non-integer index or an out-of-bounds index raises an error. For logicals, only vectors of length 1 or `ncol` are supported. Passing a matrix or an array now raises an error in any case (#83).
- Warn if setting non-`NULL` row names (#75).
- Consistently surround variable names with single quotes in error messages.
- Use "Unknown column 'x'" as error message if column not found, like base R (#94).
- `stop()` and `warning()` are now always called with `call. = FALSE`.

- The `.Dim` attribute is silently stripped from columns that are 1d matrices (#84).
- Converting a tibble without row names to a regular data frame does not add explicit row names.
- `as_tibble.data.frame()` preserves attributes, and uses `as_tibble.list()` to calling overriden methods which may lead to endless recursion.

- New `has_name() (#102).
- Prefer `tibble()` and `as_tibble()` over `data_frame()` and `as_data_frame()` in code and documentation (#82).
- New `is.tibble()` and `is_tibble()` (#79).
- New `enframe()` that converts vectors to two-column tibbles (#31, #74).
- `obj_sum()` and `type_sum()` show `"tibble"` instead of `"tbl_df"` for tibbles (#82).
- `as_tibble.data.frame()` gains `validate` argument (as in `as_tibble.list()`), if `TRUE` the input is validated.
- Implement `as_tibble.default()` (#71, tidyverse/dplyr#1752).
- `has_rownames()` supports arguments that are not data frames.

- Two-dimensional indexing with `[[` works (#58, #63).
- Subsetting with empty index (e.g., `x[]`) also removes row names.

- Document behavior of `as_tibble.tbl_df()` for subclasses (#60).
- Document and test that subsetting removes row names.

- Don't rely on `knitr` internals for testing (#78).
- Fix compatibility with `knitr` 1.13 (#76).
- Enhance `knit_print()` tests.
- Provide default implementation for `tbl_sum.tbl_sql()` and `tbl_sum.tbl_grouped_df()` to allow `dplyr` release before a `tibble` release.
- Explicit tests for `format_v()` (#98).
- Test output for `NULL` value of `tbl_sum()`.
- Test subsetting in all variants (#62).
- Add missing test from dplyr.
- Use new `expect_output_file()` from `testthat`.
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@hadley @dracodoc @krlmlr