-
Notifications
You must be signed in to change notification settings - Fork 130
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
glimpse() gets default width from tibble.width #56
Merged
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
just like trunc_mat(). - Extract tibble_width() - With test
Current coverage is
|
krlmlr
pushed a commit
that referenced
this pull request
Mar 21, 2016
krlmlr
pushed a commit
that referenced
this pull request
Mar 21, 2016
- Interface changes - `glimpse()` obtains default width from `tibble.width` option (#35, #56). - Don't export `dim_desc()` (#50, #55). - New `has_rownames()` and `remove_rownames()` (#44). - Minor modifications - `frame_data()` returns 0-row but n-col data frame if no data. - `[[.tbl_df()` now falls back to regular subsetting when used with anything other than a single string (#29). - When used in list-columns, S4 objects only print the class name rather than the full class hierarchy (#33). - Add test that `[.tbl_df()` does not change class (#41, @jennybc). - Improve `[.tbl_df()` error message. - Documentation - Improve documentation and vignette. - Update README, with edits (#52, @bhive01) and enhancements (#54, @jennybc). - Code quality - Full test coverage (#24, #53). - Renamed `obj_type()` to `obj_sum()`, improvements, better integration with `type_sum()`. - Cleanup for `column_to_rownames()` and `rownames_to_columns()` (#45). - Cleanup for `repair_names()` (#43). Whitespace are not touched by this function (#47). - Cleanup for `add_row()` (#46). - Regression tests load known output from file (#49). - Internal cleanup. - Don't test R-devel on AppVeyor because of missing directory on CRAN.
krlmlr
pushed a commit
that referenced
this pull request
Mar 22, 2016
- Initial CRAN release - Extracted from `dplyr` 0.4.3 - Exported functions: - `tbl_df()` - `as_data_frame()` - `data_frame()`, `data_frame_()` - `frame_data()`, `tibble()` - `glimpse()` - `trunc_mat()`, `knit_print.trunc_mat()` - `type_sum()` - New `lst()` and `lst_()` create lists in the same way that `data_frame()` and `data_frame_()` create data frames (tidyverse/dplyr#1290). `lst(NULL)` doesn't raise an error (#17, @jennybc), but always uses deparsed expression as name (even for `NULL`). - New `add_row()` makes it easy to add a new row to data frame (tidyverse/dplyr#1021). - New `rownames_to_column()` and `column_to_rownames()` (#11, @zhilongjia). - New `has_rownames()` and `remove_rownames()` (#44). - New `repair_names()` fixes missing and duplicate names (#10, #15, @r2evans). - New `is_vector_s3()`. - Features - New `as_data_frame.table()` with argument `n` to control name of count column (#22, #23). - Use `tibble` prefix for options (#13, #36). - `glimpse()` now (invisibly) returns its argument (tidyverse/dplyr#1570). It is now a generic, the default method dispatches to `str()` (tidyverse/dplyr#1325). The default width is obtained from the `tibble.width` option (#35, #56). - `as_data_frame()` is now an S3 generic with methods for lists (the old `as_data_frame()`), data frames (trivial), matrices (with efficient C++ implementation) (tidyverse/dplyr#876), and `NULL` (returns a 0-row 0-column data frame) (#17, @jennybc). - Non-scalar input to `frame_data()` and `tibble()` (including lists) creates list-valued columns (#7). These functions return 0-row but n-col data frame if no data. - Bug fixes - `frame_data()` properly constructs rectangular tables (tidyverse/dplyr#1377, @kevinushey). - Minor modifications - Uses `setOldClass(c("tbl_df", "tbl", "data.frame"))` to help with S4 (tidyverse/dplyr#969). - `tbl_df()` automatically generates column names (tidyverse/dplyr#1606). - `tbl_df`s gain `$` and `[[` methods that are ~5x faster than the defaults, never do partial matching (tidyverse/dplyr#1504), and throw an error if the variable does not exist. `[[.tbl_df()` falls back to regular subsetting when used with anything other than a single string (#29). `base::getElement()` now works with tibbles (#9). - `all_equal()` allows to compare data frames ignoring row and column order, and optionally ignoring minor differences in type (e.g. int vs. double) (tidyverse/dplyr#821). Used by `all.equal()` for tibbles. (This package contains a pure R implementation of `all_equal()`, the `dplyr` code has identical behavior but is written in C++ and thus faster.) - The internals of `data_frame()` and `as_data_frame()` have been aligned, so `as_data_frame()` will now automatically recycle length-1 vectors. Both functions give more informative error messages if you are attempting to create an invalid data frame. You can no longer create a data frame with duplicated names (tidyverse/dplyr#820). Both functions now check that you don't have any `POSIXlt` columns, and tell you to use `POSIXct` if you do (tidyverse/dplyr#813). `data_frame(NULL)` raises error "must be a 1d atomic vector or list". - `trunc_mat()` and `print.tbl_df()` are considerably faster if you have very wide data frames. They will now also only list the first 100 additional variables not already on screen - control this with the new `n_extra` parameter to `print()` (tidyverse/dplyr#1161). The type of list columns is printed correctly (tidyverse/dplyr#1379). The `width` argument is used also for 0-row or 0-column data frames (#18). - When used in list-columns, S4 objects only print the class name rather than the full class hierarchy (#33). - Add test that `[.tbl_df()` does not change class (#41, @jennybc). Improve `[.tbl_df()` error message. - Documentation - Update README, with edits (#52, @bhive01) and enhancements (#54, @jennybc). - `vignette("tibble")` describes the difference between tbl_dfs and regular data frames (tidyverse/dplyr#1468). - Code quality - Test using new-style Travis-CI and AppVeyor. Full test coverage (#24, #53). Regression tests load known output from file (#49). - Renamed `obj_type()` to `obj_sum()`, improvements, better integration with `type_sum()`. - Internal cleanup.
Sign up for free
to subscribe to this conversation on GitHub.
Already have an account?
Sign in.
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
just like trunc_mat().
Fixes #35.