Comments (5)
A regression in v1.1?
> tibble(~a, ~b)
# Error: Each variable must be a 1d atomic vector or list.
# Problem variables: '~a', '~b'
Is this desired behaviour? I am trying to understand the following:
> tibble(a = numeric(), b = character())
# A tibble: 0 x 2
# ... with 2 variables: a <dbl>, b <chr>
But
> tibble(a = NULL, b = NULL)
# Error: Each variable must be a 1d atomic vector or list.
# Problem variables: 'a', 'b'
Related to: imanuelcostigan/RSQLServer#73
from tibble.
To be clear, running these two equivalent calls (in SQL space) result in two different outcomes:
DBI: dbGetQuery(ss$con, "SELECT * FROM AIRLINES WHERE carrier = 'ZZ'")
# [1] carrier name
# <0 rows> (or 0-length row.names)
dplyr: tbl(ss, "airlines") %>% filter(carrier == 'ZZ')
# Error: Each variable must be a 1d atomic vector or list.
# Problem variables: 'carrier', 'name'
I'm trying to work out what I should expect from upstream dependencies.
from tibble.
Pinging @krlmlr. Should I open a new ticket?
from tibble.
I think this is intended, but please open a new ticket. What type should the new NULL columns have? Also, tibble() is the same as data_frame() now, but was an alias for frame_data() in 1.0.
from tibble.
This old thread has been automatically locked. If you think you have found something related to this, please open a new issue and link to this old issue if necessary.
from tibble.
Related Issues (20)
- Error vectbl_assign: DLL requires the use of native symbols HOT 1
- Tibble printing rounding issue HOT 2
- [Accessibility issue] alt text for DiagrammeR::mermaid()
- tibble() behaves oddly with classed list columns
- `match(<num>, <num>)` fails on R 4.3.0.
- add_case/add_row silently converts factors to strings
- FR: Show column types like readr in the footer
- Feature request: Suppress message of new names being created in `tibble()` HOT 4
- YAML headers in Tibble
- Tweak the view function
- Calling tibble::rowid_to_column on an object of class "sf" before dplyr::rename will cause " internal error: can't find agr columns" HOT 5
- difference result between data.frame() with tibble()
- `as_tibble.data.table()` method? HOT 3
- Could `as_tibble.data.frame()` be stricter? HOT 2
- Error in stopifnot(is.character(filename), length(filename) == 1L) : reached elapsed time limit HOT 3
- Tibble creation not inputting (or displaying) correct values HOT 2
- create tibble with numeric(0) doesn't give same result as NULL column HOT 1
- Warn with `drop = TRUE` ?
- Weird row names inconsistency HOT 1
- Negative values after "num()" turned into a strange code, like "\033[31m0\033[39m\033[31m.\033......" HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from tibble.