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producing a column specification for type_convert() #517

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jennybc opened this issue Sep 10, 2016 · 8 comments
Closed

producing a column specification for type_convert() #517

jennybc opened this issue Sep 10, 2016 · 8 comments
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bug an unexpected problem or unintended behavior read 📖

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@jennybc
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jennybc commented Sep 10, 2016

I'm learning the hard way that readr::type_convert() no longer takes column specifications as a character string, like cccnnn. Apparently I do this in googlesheets examples, tests, etc. Is there a specific reason to require the long form in type_convert()? If I have to workaround this myself, is there a better way than what I've got here? This looks a bit nutty.

x <- "cccnnn"
do.call(readr::cols, as.list(strsplit(x, "")[[1]]))
#> cols(
#>    = col_character(),
#>    = col_character(),
#>    = col_character(),
#>    = col_number(),
#>    = col_number(),
#>    = col_number()
#> )
@hadley
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hadley commented Oct 28, 2016

Likely just a mistake

@hadley hadley added feature a feature request or enhancement read 📖 bug an unexpected problem or unintended behavior and removed feature a feature request or enhancement labels Dec 22, 2016
@jimhester
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jimhester commented Jan 30, 2017

This was changed in response to #369 and #431, where we explicitly disabled support for character vectors in type_convert(). There is even a blurb in ?type_convert (including a typo)

Unlike other functions ‘type_convert()’ does not allow
character specificatinos of ‘col_types’.

@jennybc Probably the easiest way to do what you want is to use as.col_spec(), but it is unexported :(.

readr::as.col_spec("cccnnn")
#> Error: 'as.col_spec' is not an exported object from 'namespace:readr'
readr:::as.col_spec("cccnnn")
#> cols(
#>    = col_character(),
#>    = col_character(),
#>    = col_character(),
#>    = col_number(),
#>    = col_number(),
#>    = col_number()
#> )

@hadley
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hadley commented Feb 1, 2017

@jennybc what do you think we should do in this scenario?

library(tidyverse)
df <- tibble(x = 1:2, y = 1:2)
type_convert(df, col_types = "dd")

@jennybc
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jennybc commented Feb 1, 2017

I would expect x and y to be double.

@hadley
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hadley commented Feb 1, 2017

What about type_convert(df, col_types = "cc") ?

@jennybc
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jennybc commented Feb 1, 2017

Then character?

@hadley
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hadley commented Feb 1, 2017

Hmmm, that's considerably expanding the scope — currently it only operates on character columns.

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lock bot commented May 13, 2019

This old issue has been automatically locked. If you believe you have found a related problem, please file a new issue (with reprex) and link to this issue. https://reprex.tidyverse.org/

@lock lock bot locked and limited conversation to collaborators May 13, 2019
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