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r - data.frame更新时自动打印消息

转载 作者:行者123 更新时间:2023-12-02 17:14:20 26 4
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我希望 R 打印更新后的数据帧的尺寸,以显示我的每个步骤如何影响剩余的观察数量。通常,我的数据集大小会发生变化,因为存在 NA。我总是可以快速检查尺寸:

a = data.frame(a = c(1,2), b = c(3, NA))
na.omit(a) %>% dim

但我想在这一行中做两件事:

na.omit(a) %>% size
a <- na.omit(a)

因为代码因多次 dim() 调用而变得困惑。

有没有办法切换 R 的输出?类似的东西

a <- na.omit(a)
message: dimensions are now m x n

最佳答案

编辑:添加代码以仅在原始代码下对象发生更改时显示通知。

如果您只想在执行的每一行之后打印尺寸,您可以编写一个taskCallBack

tc <- addTaskCallback(function(...){message("Dimensions are: ", paste(dim(a), collapse = " "));return(TRUE)})

# When you want to remove the callback
removeTaskCallback(tc)

这是一个正在使用的示例 session 。您可能可以修改taskCallBack,使其仅在情况发生变化时才打印。

> a <- mtcars
>
> tc <- addTaskCallback(function(...){message("Dimensions are: ", paste(dim(a), collapse = " "));return(TRUE)})
Dimensions are: 32 11
>
> a
mpg cyl disp hp drat wt qsec vs am gear carb
Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4
Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4
Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1
Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1
Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2
Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1
Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4
Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2
Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2
Merc 280 19.2 6 167.6 123 3.92 3.440 18.30 1 0 4 4
Merc 280C 17.8 6 167.6 123 3.92 3.440 18.90 1 0 4 4
Merc 450SE 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3
Merc 450SL 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3
Merc 450SLC 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3
Cadillac Fleetwood 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4
Lincoln Continental 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4
Chrysler Imperial 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4
Fiat 128 32.4 4 78.7 66 4.08 2.200 19.47 1 1 4 1
Honda Civic 30.4 4 75.7 52 4.93 1.615 18.52 1 1 4 2
Toyota Corolla 33.9 4 71.1 65 4.22 1.835 19.90 1 1 4 1
Toyota Corona 21.5 4 120.1 97 3.70 2.465 20.01 1 0 3 1
Dodge Challenger 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2
AMC Javelin 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2
Camaro Z28 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4
Pontiac Firebird 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2
Fiat X1-9 27.3 4 79.0 66 4.08 1.935 18.90 1 1 4 1
Porsche 914-2 26.0 4 120.3 91 4.43 2.140 16.70 0 1 5 2
Lotus Europa 30.4 4 95.1 113 3.77 1.513 16.90 1 1 5 2
Ford Pantera L 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4
Ferrari Dino 19.7 6 145.0 175 3.62 2.770 15.50 0 1 5 6
Maserati Bora 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8
Volvo 142E 21.4 4 121.0 109 4.11 2.780 18.60 1 1 4 2
Dimensions are: 32 11
> a <- a[1:5,]
Dimensions are: 5 11
>
> # When you want to remove the callback
> removeTaskCallback(tc)
[1] TRUE

如果您只想在对象更改时接收通知,我们可以编写更多内容来实际监视对象并仅在适当时显示消息。这是我将使用的代码:

# @object_name - Character string. The object name you want to montior
# @example tc <- addTaskCallback(monitor_object("mtcars"))
monitor_object <- function(object_name){
object_dim <- NULL
if(exists(object_name)){
object_dim <- dim(get(object_name))
}

f <- function(...){
new_dim <- NULL
if(exists(object_name)){
new_dim <- dim(get(object_name))
}
if(!identical(new_dim, object_dim)){


msg <- paste0(object_name,
" changed.\nOld dimensions: ",
paste(object_dim, collapse = " "),
"\nNew dimensions: ",
paste(new_dim, collapse = " "))
object_dim <<- new_dim
message(msg)
}
return(TRUE)
}

return(f)
}

tc <- addTaskCallback(monitor_object("mtcars"))

# When you want to remove the callback
removeTaskCallback(tc)

还有一个示例 session ...

> tc <- addTaskCallback(monitor_object("mtcars"))
> mtcars <- mtcars[,-1]
mtcars changed.
Old dimensions: 32 11
New dimensions: 32 10
> head(mtcars)
cyl disp hp drat wt qsec vs am gear carb
Mazda RX4 6 160 110 3.90 2.620 16.46 0 1 4 4
Mazda RX4 Wag 6 160 110 3.90 2.875 17.02 0 1 4 4
Datsun 710 4 108 93 3.85 2.320 18.61 1 1 4 1
Hornet 4 Drive 6 258 110 3.08 3.215 19.44 1 0 3 1
Hornet Sportabout 8 360 175 3.15 3.440 17.02 0 0 3 2
Valiant 6 225 105 2.76 3.460 20.22 1 0 3 1
> mtcars <- mtcars[1:5,]
mtcars changed.
Old dimensions: 32 10
New dimensions: 5 10

我实际上扩展了这段代码,因为这是一个有趣的小练习,并且使您可以指定要用于监视对象的函数。我做了一个gist for the function that can be found here.

关于r - data.frame更新时自动打印消息,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/47759132/

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