Hence, it is better to use dplyr rename instead of dplyr select to modify column names.This is similar to the code for renaming single column that we had seen above, except that we use pairs of new and old column names now.Let’s see the code for dplyr rename multiple columns in action.Imagine that you want to rename 100’s of columns at once.Using dplyr rename() is not a good option in that scenario.This is where the three variants of dplyr rename() – namely , rename_all(), rename_if(), rename_at() comes in handy.Use rename_at() to rename multiple columns at once. I have modified ArrTime to ArrivalTime, but tbl_times now contains ArrivalTime only ! We will learn about advanced topics of dplyr in my Subscribe To Get Your Free Python For Data Science Hand BookSubscribe To Get Your Free Python For Data Science Hand BookCopyright © Honing Data Science.
For example, FlightNum is changed to FlightNumber !Use rename_all() to change the names of dataframe columns without any logical condition.For example, consider that you would like to change column names, irrespective of it being a numeric or not , and if they contain Num in the column name, you want to modify it to Number.Post this operation, you can see that FlightNumber got changed to FlightNumberber and TailNum changed to TailNumber.Along with dplyr rename() , you can also rename columns of a dataframe using a logical vector or an index.Let us now modify the column name “Month” of hflights to “month” using logical vector.Another approach to rename columns of a dataframe is by using the appropriate index on the names vector.Let us now modify the column name “Distance” to “distance”. Select (and optionally rename) variables in a data frame, using a concise mini-language that makes it easy to refer to variables based on their name (e.g. In this post, we will learn about dplyr rename function.dplyr rename is used to modify dataframe column names or tibble column names. With dplyr, it’s super easy to rename columns within your dataframe.
Since the column “Distance” has an index of 16, assign the new column name “distance” to the element of the names vector selected using the index.That’s it for now on dplyr rename(). This can be handy if you want to join two dataframes on a key, and it’s easier to just rename the column than specifying further in the join.Alternatively, from a data munging perspective, sometimes you can have unhelpful column names like x1, x2, x3, so cleaning these up makes your dataframes and work more legible. We will use tbl_df() function to generate a tibble called tbl from hflights. All rights reserved In this instance, let’s change the “comments” column to “spotter.comments”:To change the column name with dplyr, we can specify the following:From this example, we can note that the syntax of rename is as followsAnd that’s all there is to it! dplyr rename comes from Tidyverse group of packages developed by Hadley Wickham. Columns that aren’t mentioned in the rename() call are simply left untouched while using dplyr rename().See an example here below. Let’s see the code for dplyr rename multiple columns in action. I have found that using dplyr rename, just like other dplyr functions, is the most intuitive and easiest.As a first step, let us install dplyr and hflights packages.Please go through Post successful installation, load dplyr and hflights in R Studio console using library() function. a:f selects all columns from a on the left to f on the right). With dplyr, it’s super easy to rename columns within your dataframe. Well this is easily done too. We’ll take a look at it now with the UFOs dataset from Kaggle.Using colnames() we can take a look at the existing column names:We might want to add more clarity around the “comments” column, perhaps specifying that these aren’t metadata comments from the analyst, but an actual part of the dataset. Imagine that you want to rename 100’s of columns at once.Using dplyr rename() is not a good option in that scenario. _if , _at , _all Prior versions of dplyr allowed you to apply a function to multiple columns in a different way: using functions with …
As you can see, it’s super easy to rename columns with dplyr.ufos <- ufos %>% rename(spotter.comments = comments) ufos <- ufos %>% rename(lat = latitude, long = longitude )
We simply pass multiple the columns as a comma separated list.
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dplyr rename multiple columns