## Limiting the number of decimals in a dataframe (R)

I would like to limit the number of decimals when a data frame is imported. My .txt input have 16 decimals to each row in collumn "Value". My dataframe look like that:

```Value

0.202021561664556
0.202021561664556
0.202021561664556
0.202021561664556
...
```

My expected dataframe

```Value
0.20202156
0.20202156
0.20202156
0.20202156
...
```

Real input (DF) that not works:

```DF <- "NE001358.Log.R.Ratio
-0.0970369274475688
0.131893549586039
0.0629266495860389
0.299559132381831
-0.0128804337656807
0.0639743960526874
0.0271669351886552
0.322395363972391
0.179591292893632"

```

Here `is.num` is `TRUE` for numeric columns and `FALSE` otherwise. We then apply `round` to the numeric columns:

```is.num <- sapply(DF, is.numeric)
DF[is.num] <- lapply(DF[is.num], round, 8)
```

If what you meant was not that you need to change the data frame but just that you want to display the data frame to 8 digits then it's just:

```print(DF, digits = 8)
```

In dplyr 1.0.0 and later one can use `across` within `mutate` like this:

```library(dplyr)
DF %>% mutate(across(is.numeric, ~ round(., 8)))
```

How to Format the Number of Decimal Places in R (2 Example Codes), Control the number of digits after the decimal point - 2 examples - How to modify decimal places in R - Reproducible R programming codes. I would like to limit the number of decimals when a data frame is imported. My .txt input have 16 decimals to each row in collumn "Value". My dataframe look like that: Value 0.202021561664556 0.202021561664556 0.202021561664556 0.202021561664556 My expected dataframe. Value 0.20202156 0.20202156 0.20202156 0.20202156

A `dplyr` solution using `mutate_if` to check if the columns in the current data frame are `numeric` then apply the `round()` function to them

```# install.packages('dplyr', dependencies = TRUE)
library(dplyr)

DF <- DF %>%
mutate_if(is.numeric, round, digits = 8)
DF

#>   NE001358.Log.R.Ratio
#> 1          -0.09703693
#> 2           0.13189355
#> 3           0.06292665
#> 4           0.29955913
#> 5          -0.01288043
#> 6           0.06397440
#> 7           0.02716694
#> 8           0.32239536
#> 9           0.17959129
```

Created on 2019-03-17 by the reprex package (v0.2.1.9000)

format.df function, format.df does appropriate rounding and decimal alignment, and outputs a a matrix (usually numeric) or data frame. digits. causes all values in the table to be � With the previous R code (i.e. options (digits = 5)), we changed the number of maximum digits to 5. In our specific example, 2 digits before the decimal point and 3 digits after the decimal point. If there would be more digits before the decimal point, the number of digits after the decimal point would be reduced (e.g. 1000.8).

just throw a copy of this into the path of your project in a utils directory and source it when you run your script

```"formatColumns" <-
function(data, digits)
{
"%,%" <- function(x,y)paste(x,y,sep="")
nms <- names(data)
nc <- ncol(data)
nd <- length(digits)
if(nc!=nd)
stop("Argument 'digits' must be vector of length " %,%
nc %,% ", the number of columns in 'data'.")
out <- as.data.frame(sapply(1:nc,
FUN=function(x, d, Y)
format(Y[,x], digits=d[x]), Y=tbl, d=digits))
if(!is.null(nms)) names(out) <- nms
out
}
```

Now you can sit back and relax

```formatColumns(MyData, digits=c(0,2,4,4,4,0,0))
```

et cetera et cetera et cetera

format function, the minimum number of digits to the right of the decimal point in formatting format.data.frame formats the data frame column by column, applying the� specifies that you want to format a floating point number with ten decimal points (in %.10f the f is for float and the .10 specifies ten decimal points). I don't know of any way of forcing R's higher level functions to print an exact number of digits.

I have a dataframe of 13 columns where the 1st 2 columns are integers and the rest of the columns are numeric with decimals. I want the decimal values alone to be restricted to 2 decimal places. Applying @G. Grothendieck 's method above, a simple solution below:

`DF[, 3:13] <- round(DF[, 3:13], digits = 2)`

How to Format Numbers in R, digits: How many significant digits of numeric values to show. nsmall: The minimum number of digits after the decimal point. In addition, you can control the format� I have a dataframe values as shown below January February March 0.02345 0.03456 0.04567 0.05432 0.06543 0.07654 I need a command to round each of these values to 3 decimal points.

[R] Formatting numbers with a limited amount of digits consistently, [R] Formatting numbers with a limited amount of digits consistently It also wants > > a vector of numbers as input, not a dataframe. So the� If an int is given, round each column to the same number of places. Otherwise dict and Series round to variable numbers of places. Column names should be in the keys if decimals is a dict-like, or in the index if decimals is a Series.

Can't adjust dataframes decimal places - Questions, I have a dataframe with integer and float columns like so: And as you can see, in the Days_to_Sell column have no decimal places, while others have 4. using st.table, due to the lack of limit in the number of row's output. Although R can calculate accurately to up to 16 digits, you don’t always want to use that many digits. In this case, you can use a couple functions in R to round numbers. To round a number to two digits after the decimal point, for example, use the round () function as follows: > round (123.456,digits=2) 123.46

pandas.DataFrame.round — pandas 0.22.0 documentation, Round a DataFrame to a variable number of decimal places. New in version 0.17 .0. Parameters: decimals : int, dict, Series. I would like to limit the number of decimals of SNP array signal when a data frame is imported. My .txt input have 16 decimals to each row in collumn "Value". In a same collumns it can have numbers and strings (Non called intensities = NC), at same time. My dataframe look like that: Value 0.202021561664556 0.202021561664556