R replace column values conditionally. Replace values in a subset of a data.

R replace column values conditionally Replace column value in one Panda Dataframe with column in another Panda How to conditionally replace NaN values in a column based on values in another column. I have a column party that just lists political party affiliations. if weight < 7 then replace values with a; if weight > = 7 and <8 replace values with b; if weight >= 8 replace with c ; r; Share. R - Replace items in a list based on another vector Hot Network Questions Using LaTeX3 keys causes issues with nesting and sub-/superscripts In R, the general way to do this is to use subscripts. Modified 15 years, 11 months ago. R - Replace column values by multiple pairs. Any help would be much appreciated. table with values from another data. An alternative solution is as follows: I have a data frame which has 2 columns - A & B. Replacing values in a column based on a condition in another column. Pandas Dataframe - replace NaN with 0 if column value condition. r: conditionally replace values in a subset of columns. Lets call this dataframe table. If they are within the range 131-140, replace by 1, 141-150 by 2, 151-160 by 3, etc. Conditionally replacing values in SELECT. Modified 2 years, 4 months ago. Here is a sample of the data: id colours tagl TAGLFT grid <fct> <chr> <chr> <chr> <chr> 6391 B*/Y* 45820 45820 KL 6391 B*/Y* 45820 46272 KL 8443 B*/Y* 46272 46272 SU I am able to successfully replace within rows using this Looking for what should be an incredibly simple solution. I've got How to dynamically replace a column value with another value These are not necessarily the same as the indices of the column names that need to be replaced. data. using data. Fastest method to replace data values conditionally in data. Any suggestions? Type Type ID gamecode 0 gamecode There's plenty of examples of replacing values in a single vector of a data frame in R with some other value. Follow edited Jul 9, 2016 at 7:37. Conditionally replace values of subset of rows with column name in R using only tidy. How can I write a conditional function that compares entries in rows of a data frame in R. # Some of the observations are now missing n <- 10 df[cbind(sample(1:nrow(df), n, replace=T), sample(1:ncol(df), n, replace=T))] <- NA We extract the rows containing NA's I want to replace the col1 values with the values in the second column (col2) only if col1 values are equal to 0, and after (for the zero values remaining), do it again but with the third column (col3). frame) ; WORLD (3 columns matrix) In SPECIE, I have 3 variables : LAT, LON, OCC (numeric) OCC is always > 0. I want to replace certain values in one column based on values in another column. Hot Network Questions Are qualia an illusion? This is similar to Update values in data. My data looks like below image. Missing values in a dataset are usually represented as You can use the following syntax to replace one of several values in a data frame with a new value: df[df == ' Old Value 1 ' | df == ' Old Value 2 '] <- ' New value ' And you can Identify the condition: Determine the condition or criteria for selecting the rows in which we want to replace values in the specified column. In the second column, if the values are within the range 121-130, replace them by 0. table (let's call it dt_newdata) whose IDs are a How to conditionally replace value in a column based on evaluation of expression based on another column in Pyspark? Ask Question Asked 7 years, 7 months ago. Ask Question Asked 11 years, 5 months ago. join(df2, df1("id")===df2("id"), "left_outer") . Method 3: Replace Values in Specific Column Based on Another Column. " in columns 3 to 5. How to manually enter a To replace na values in pandas. You can use dplyr from tidyverse to achieve this. If the third column is '1', I want to replace the values in the first and second columns both with 0. ] or DT[col %in% . And for participant whose UniqueKey == 1484, I Replacing values in the columns of a matrix according to a vector of indices? 0. Modified 1 year, 10 months ago. aggregate(. frame based on multiple conditions. y but only retain the original column of value Is there a simple way of doing this? What I am after is the values in 'ALLOCATED' and 'ASSIGNED' from sub_dt to replace the 'ALLOCATED' and 'ASSIGNED' values in dt based on the 'ID_CD' column. I thought to try to do it over loop but only few values are replaced. I need to replace a NULL value in a column only when other conditions are matched. table, except in my situation the number of variables is very large so I do not want to list them explicitly. Conditionally replace values in one column/row with values from another row/column using dplyr. So, the expected output would be: Since it's unclear how you'd like to replace missing values, I replace them using mean imputation (taking the mean of the column and using that to replace the value). 5 (the third column is irrelevant, I will be dropping it later), otherwise, I want to leave them as they are. Here is a simple example that works, with base R: df &l Skip to main content. The index is just the order of the column you specify. R: Trying to replace values in one column with values in another column based on some conditions Hot Network Questions What's the best way to describe the main lines of the WoD to a total newbie without smacking them with the book? 2. Replacing values in a column based on another column, no else only if. Left Join with no NA's generated. Any help is appreciated! Sample story provided below is to replace the student_id with updatedId if exists in 'old_id' column and replace it with 'new_id'. I am trying to create a dax expression that will replace the value in one column based upon a condition in another column. Use gsub to replace string within specific columns. Replacing column values that conditionally match a list of values in R. Mutate values in one column based on another column. While base R solution is preferred, others are welcome. See example below: wl < Is there some function I can plug into the values= portion of the replace(. Conditionally replace values in PowerShell object. Conditionally change values in some rows using existing factor levels, possibly in dplyr. Else, keep the original value (when to replace null values you can use DataFrameNaFunctions like below. I have a big dataset with multiple columns. If ColZ matches an existing column name in DF, then you would need to make some adjustments. Replace R data frame column values conditionally using column indices or column names and conditions from Conditionally replacing column values with data. frame. Here's what I've tried so far using dplyr package. locf0 statement does it say to replace with the nearest or previous value? If na. naics. Replacing values based on condition with dplyr. x), . I have tried mutate_at and replace_na and some ifelse statements but I just cannot seem to figure out how to correctly do it. I'm also very new to R syntax and data tables. table given a condition. Replace value in a pandas data frame column based on a condition. x) is replacing with the mean of that column where all cols are NAs, I don't understand how that piece (all. Rule 4 only needs to use 'City' and 'Location' to check the Data table. Data Replacement based on conditions in R. I would like to conditionally replace the values of each columns in R. The following example replaces all instances of the street with st on the address Replacing values from a column using a condition in R. frame(id = 1:3 Replace NA values based on the value of another column in R. Conditionally replacing column values with data. R data. So need a way to where the columns to mutate can be specified - like df[,2:3] in the example above. . ,. Both [[ and $ select a single element of the list. Is there a one-liner or simpler method using dot notation to change the present column's values? powershell; foreach; pscustomobject; Share. Replacing multiple occurrences of a value in a I have tried to come up with a smart way to add an extra column equal to the "Input" column, but such that the values following the "_" are either those of State1 or State2, according to which is different from the corresponding substring in Input, i. Replace multiple string in column based on 2 columns conditionally in R. All you need is the mutate function to manipulate the events column using if_else from dplyr as well. For example, I have myfile. Conditional Replace Values. I have to do this for more than 50 columns. I thought this should work but i Skip to main content. Modified 6 years, 9 months ago. Replacing specific values in data frame with a new data frame. There isn't really any problem with the way I do it now, it's just a lot of repetitive code (I do the same thing with a few other How to conditionally replace NaN values in a column based on values in another column. copy(). Ask Question Asked 9 years, 4 months ago. I'm working in R and I have a very large dataframe (bulk. Change values of multiple columns based on the value of one column in data. table's columns that meet a condition. About; R - Conditionally replace multiple rows in a dataframe. Replacing values in one column after matching values from another column. 11. R: conditionally replace values in loop. For a subset of observations X, the values for a set of columns are missing/NA. 000 observations and I'm trying to add a column to it which its values depend on another column and sometimes multiple ones. You can delete the old one afterwords Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company Note: if any columns are not numeric, all columns will be converted to character or factor. EDIT: I realized that mutate and if_else are quite efficient when it comes to converting values. Data frame B contains a subset of the observations in X (which can be matched across data frames using the ID) and variables with identical names as in data frame A, but containing values to replace the missing values in the set of columns with missing/NA. I have a dataset with 300 columns and 1000 rows and a corresponding code book in data. SPECIE contains the position where the specie was found, and the number of time it was found (in OCC). When you do DT[col == . Let's say one of the columns in my dataframe refers to the name of a city. For example, I would want to replace the NAs in rows 1,2, and 5, but leave row 4 alone, and not replace the NA in column d. The following example demonstrates how to update DataFrame column values by checking conditions on a numeric colum Replace Values in Data Frame Conditionally in R (4 Examples) In this tutorial, I’ll show how to exchange specific values in the columns of a data frame based on a logical condition in R. In the code below, I'm saying, if events is "strikeout", replace with the corresponding value in "description": I want to conditionally replace the ID numbers that have been used for column names with text for the station names, which will help make the data more readable when I'm sharing the results. This is somewhat a follow-up on a previous question where the idea is to replace a given value in data. table to replace multiple columns on single condition. 5. Replace NA in multiple columns conditionally and with the value of another column. =='Y',values="column name") step that can capture the column name and perform this entire process within a I'm trying to replace the value of a column based on the data in a different column, but it's not working. There are hundreds of observations per site and there are 25 sites, so there are thousands of rows. table, since v1. I have a table where every row is a customer and every column is an animal they purchased. Then assign the shifted data to the original data, but only where it was missing in the first place. I need to replace values in a number of columns in a dataframe at once. There will never be multiple letter grades in Test1/Test2/Test3 columns. Selecting multiple columns in a Pandas dataframe. Whether you use ifelse() for vectorized operations, for loops with if statements for complex conditions, logical indexing for direct access, or the dplyr package for a tidyverse approach, R provides versatile methods to suit your needs. Here Conditionally replacing column values with data. I also have a list with some of the row/column names. Follow How can I conditionally change values greater than 1 but I haven't found any solutions that can conditionally change a value in a column to the value in the previous row. I have spent quite some time now to figure out how to apply this mutate function to other columns without having to reproduce the command 50 times - to no avail. So the result I'm loolking for is this: I am currently trying to create a new matrix by looping over the old one. table (speed comparison) 2. theData[theData[:,0] == 0] = -1 theData[:,0 == 0] = -1 but these change all values across the row to -1 for any row in which the first column value is zero. Note - There are 2 condit. I would like to replace the values c t, o p of the column b with c_t, o_p respectively. But instead of replace all values in that column, I want to use certain specific criteria to replace the outliers in that column. e, in this case the desired outcome is everyone. How to find the index for a given item in a list? 1782. Modified 6 years, 1 month ago. Hot Network Questions Is it possible to shrink back a GoPro battery? What And you can use the following syntax to replace a particular value in a specific column of a data frame with a new value: df['column1'][df['column1'] == ' Old Value '] <- ' New value ' The following examples show how to use this syntax in practice. dplyr Rename if column exists else. Data have <- data. where(df['id'] == '318431682259014', 'NEW', df ['col1 Use how to replace particular value in column using R. Conditional matching. This should be the Thank you, but merge is not the right tool, as it creates a new column rather than replacing the existing one. Hot Network Questions I'm looking for a function which will replace all occurrences of one value with another value. Replacing values with nan based on values of another column. I'm trying to replace NA's depending on Promo2 value. I have a dataframe like so: rel Looping over a column and replacing values if condition is met in r. x value. It doesn't work, but I feel like I'm close. In this, I want to check if the values are >UCL then want to replace with UCL value and If the values are The Output should look like below image: Like this I have many rows and columns data and I'm looking for solution in R. Hot Network Questions The document-class key-value option problem? Conditionally replacing values in an R data frame is a powerful technique for data cleaning and transformation. In the current case, the certain value is one that matches with on eof the values in vector_A. T 3 T C C . dplyr: Replace values rowwise based on value in one variable. R merge in place. Viewed 11k times Part of R Language Collective 0 . Modified 3 years, R replace values of a column based on exact match of another data frame. df[,-1] <- 0 But when I try to embed this in lapply, it fails: I was looking for a solution for overwriting column values conditionally, but based on an other column's value, like this: df['col1'] = np. loc. If you have a data. How can I recode several values based on another data frame in several variables in R? Conditionally replace a value in a data frame with a value from a second data frame. Change a column value if other specific columns with a specific value? 2. So in this case: Replace conditionally using column indices or column names and conditions. I want to do this in a way that the first occurrence is replaced by "x", the second occurrence by "y", then "x" again, then "y" again and so on. we are only replacing a Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company I want to compare each column to see if the value matches a particular string, and if yes, replace the value with NaN. Delete values on one column based on other. However, I can't seem to find answers to my current one. I highly recommend John Cook's blog post 5 Kinds of Subscripts in R to help understand this; it's one of those things in R that just works differently than most other languages, but when you get the hang of it it becomes very handy. Replace specific value in column in R. I then delete DF['ColZ'] to clean-up. table replace data using values from another data. For example, in column day, I want to replace 80 to 8, 70 to 7 for the participant who has UniqueKey == 1234 and UniqueKey == 1321. 13. So far, I've tried the code below. replace row values based on another row value in a data. Columns: Parent, Child, flag01, lag02 Parent columns has many NULL values, but I want to replace the null values only when flag01 and flag02 is "ok". For example if entry in row 1 is greater than entry in row 2 replace row 2 entry with "lower" row1 row2 667 668 673 674 665 679 664 668 Entries in first column will be higher,lower,lower if the function is applied. Improve this question. Viewed 16k times 4 . In R dplyr, rename a value based on its value in another column. txt (3 lines, 5 columns, tab-delimited): 1 A . Match part of a pattern to a string. replace() in R I want to mutate a column A4 by A3 but reducing value of A3 by 1 if Total == 63. import I'm new to using R and have been consulting this forum for some of my previous R issues. 6. I need to replace values with NA in 50 columns conditional on the value of the column "positive == 0". I'm still a beginner to R, and I'm trying to figure out how to rewrite my indexing in my loop. It should look like. I can do this in part with a single data frame using . I want to replace the NA value in dfABy from the column A, with the value from the column B, based on the year of column year. In [1]: import pandas as pd In [2]: dictionary = {'time': ['2017-04-28 13:08:22', '2017-04-28 08:58:40', '2017-05-03 07:59:35','2017-05-03 08:05:14'], 'environment': ['NaN', 'NaN', 'test', 'prod'], 'event': ['add_rd', 'add_rd', 'add_env', 'add_env'] } In [3]: df = pd. na, na. id a b c 1: data. Here is a simpler example of what I'm trying to do : I would like to replace outliers in each column of a dataframe with NA. 'AB' becomes 1 if X1=12 AND X2=DF1, 'AA' becomes 2 if X1=12 AND X2=DF1, 'BB' becomes 3 if X1=12 and X2=DF1 etc. table, conditionally. However, if there is a "Yes" In the Hotspot Column, I want to replace the Threshold value as being "High". Ask Question Asked 6 years, 4 months ago. frame based on another data. Clever, I think I follow most of this, but where in the ~na. x and value. COL2 from the non-null values in DF. I have some data and I found some outliers to revise. Viewed 412 times Part of R Language Collective R replace values in one column upon matching conditions in Conditionally replace a value in one column through similarity of two rows in another column. I have a matrix with matching row and column names. Replace column values based on row criteria. How to conditionally replace values in r data frame using if/then statement. e values_to_check <- c(5984, 6046, 3331) but was based upon only on the first three characters of each value in each row of the 40 TD columns. Both of the matrixes should have 10 columns and 100 rows. Replace a value in a data frame based on a conditional statement. C . Here are other examples. We want to do this with the least PySpark DataFrame: Replace Column Values Conditionally. Read more for the full picture :-). Stack Overflow. table looping over columns to conditionally replace row values. My aim is to replace values from multiple columns by values in a column b_Y_1, provided they are not missing. Ask Question Asked 3 years, 3 months ago. Instead of replacing values in All non-matching values are filled with NA. 4451. shift(2, axis=1) df[missing] = shifted In other words, construct a missing Boolean mask of cells where the data are missing, and a copy of the original data with all columns shifted two places to the right. For example, my df is: >dfABy A B Year 56 75 1921 NA 45 1921 NA 77 1922 67 41 1923 NA 65 1923 The result what I I would like to add a prefix to my dataset column names only if they already begin with a certain string, and I would like to do it (if possible) using a dplyr pipeline. Method 2: Replace Values in Specific Column. So basically I am trying to replace all NA values in column Occupation based on three conditions and then once those three conditions have been met, replace with the work retired. However, the code I wrote seems to apply the conditional statement to the original column I have based the condition on. In R, this can be accomplished using various methods, Here are multiple examples of how to replace R data frame values conditionally. I've tried variations of: df. df &lt;- data. The city names are expressed as "longformA I am having some trouble replacing values in a dataframe. df) with a column for species IDs (species) and a column for survey site number (site). My problem is that I do not know how to write "remains unchanged" for more columns at once. Rename dataframe columns based on values in another dataframe in R. In the real data there are columns and values in df_fac that are not in df_all and vice versa, hence my example above needing to bring in missing author names. My Data We can mutate the 'Revenue' column to replace the NA with 0 using a logical condition that checks whether the element is NA and the 'Date' is less than or equal R - Replace the value of a specific position where there is a I would like to replace all of the codes that begin with the same two digits with those two digits only. Viewed 3k times Part of R Language Collective 5 . Replace Column Values Conditionally. 1507. e. R data table: replace subset of row values across multiple columns using conditional with another column. I would like to replace all the 1's with 0's for all the numeric columns, but keep the ID column the same. Replace non-NA values in a Certain Column with Values From Another Column in Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company I am trying to replace the values in columns given multiple conditions. – Conditionally replace the values in columns to value in another column using dplyr. For instance, in the following table, if the "gamecode=1" in Type Column), replace "1" in TypeID column with "Game 1". DataFrame(dictionary, columns= ['time', I would like to conditionally change the coding (replace) values in columns 3:8 (from X3 through X8) based on values in X1 and X2 using if/then. Fill in empty values in column of dataframe by condition. As an example, if the value is either 311, 311919, 3159 or any other string (these need to stay strings, not int) that starts with 31, I would like the new value to be 31. 0. Specifically for a data table, I want to conditionally test and replace row values across four columns in comparison with values in a fifth column. " in columns 3 - 5 with the value in column 2 on the I want to replace the values in the first data frame with the 'decoded' values by looking up the second data frame. Conditionally replacing the value of one column with another in python. table and R data. I am trying to replace values that fall below a threshold with a different number (say 0), according to the column. Rather than specify each column individually I'd like to perform the same operation on all columns of df in one call. Ask Question Asked 3 years, 10 months ago. I'm trying to conditionally replace values with NA in R. table format. Ask Question Asked 6 years, 9 months ago. As far as why replace does not work if you check the source code of replace: replace function (x, list, values) { x[list] <- values x } It assigns values to x after subsetting for list. Replace all values in a data. Example: R: Conditionally replace values in data. Conditionally replace a value in a data frame with a value from a second data frame. abcd abcd NaN abcd NaN I would like to replace the values in df1 using matching "B" values in df2, replace some column values from a data. I would like to replace values based on a separate table. To avoid this, you can do the following. I'm trying to conditionally replace values in multiple columns based on a string match in a different column but I'd like to be able to do so in a single line of code using the across() function but I keep getting errors that don't quite make sense to me. For example, if there are 5 values in column 1 of the data frame: abcd abcd defg abcd defg and if the comparison string is defg, the end result for column 1 in the data frame should be. FOr the 'otherwise' rule I have used != as well as > or <. y 1 a 100 NA 2 b 101 NA 3 c NA 200 4 d NA 201 I'd like the output of merge() to avoid the creation of, in this specific example, of value. The Rules table will grow including new columns. table column over loop [duplicate] Ask Question Asked 7 years, 8 months ago. ID value A 10 B 40 C 91 D 92 so, no changes for C/D and A/B rounded down. For all matching rows, replace the values in the City column with the Replacing values in a column using a named list. Modified 6 years, so now I can drop the value column from gathering: t2 %>% gather(key = Name, value = value, -Whatever Replace column values in table with values from lookup based on matches in R using data I am looking for a way to conditionally replace certain values in a subset of columns with that column name staying in the tidyverse. loc[:] == "" shifted = df. Commented Aug 22, 2014 at 8:55. Replace values conditionally over multiple columns with mutate in R. Below is an example of what I am trying to do. The following is an example where NaN values in df are replaced by 10 Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company Conditionally replace the values in columns to value in another column using dplyr. Ask Question Asked 15 years, 11 months ago. The Desired Result is the next one: Using the sample data above, I want to conditionally replace/recode the value of "Column1" based on the values of "Column2". Once there are multiple values / conditions however, not all values are filled correctly (returns maybe 2 out of 3+ desired / assigned values). Viewed 63k times Part of R Language Collective How to conditionally replace values in r data frame using if/then statement. How create a IF and then function in R. In the above example, we just replaced Rd with Road, but not replaced St and Ave values, let’s see how to replace column values conditionally in PySpark Dataframe by using R ifelse to replace values in a column. 4. Replacing items in a matrix based on column and value in R. R: Conditionally replacing values based on column pre-fixes and suffixes. Modified 9 months ago. – Replace the values of the first column that are greater than 5 by 0. df['column_name']. R, dplyr, Conditionally change values in multiple columns based on one conditional column in R. I then use update to overwrite the values in DF. Any ideas? Thanks An alternative approach using the naniar package, which neatly imputes missing values to selected columns using a predicate function (here with str_detect()): How to conditionally replace values with NA across multiple columns. Merging with conditions in R. I am trying to conditionally replace values in one column/row with values from another column/row using dplyr. g: I want to conditionally replace missing revenue up to 16th July 2017 with zero using tidyverse. ColZ. From the help page for "[" : "Indexing by [ is similar to atomic vectors and selects a list of the specified element(s). R replace_na values conditionally by column with multiple conditions. for each Activity_ID there is Employee_count value, i want to sort Employee Count as top 10 sorting , i want to replace the value of Activity_ID that is equivalent to the least value in the sorting with Other value instead of the original value which is "C", so Yes i want to replace the last activity in the least with "Other" value I have a data frame with more than 400. Replacing values in column with values in lookup table of column names conditionally. Additionaly, it should be done in each group separately. For example, R data frame In this article, we are going to see how to replace missing values with columns mean in R Programming Language. The thing that I would want to change in the new matrix is replacing certain values with the character "recoding". R: substituting one value with another in a data frame. How to I conditionally change the values in columns sample1 and sample2 so What I need to do, is replace, column by column, if the number of distinct cases is more than one per group, with the value of the original column. In the matrix, I want to replace all cells of the rows and columns with the names NOT included in the list with NAs. – sampei. Each has an ID column, followed by a number of numeric columns (with column names). My question is: How can I replace all the values in the column date_col which are exceeding the bound of the date window with a default value (for example 2000-01-01)? Also in my real dataframe I only know the indices of the columns that contain dates, so I cannot use the column names. g. 2 C T . I have a large matrix, z, that I removed all values >3 and replaced with NA using: z[z>3]<-NA I have another matrix, y, of identical dimensions that I need to replace values with NA in positions corresponding to the locations where the elements were replaced in This is my first post in stack overflow so forgive any mistakes. table. Viewed 4k times 1 I have a PySpark Dataframe with two columns: id address_type; 100: 1: 101: 1: 102: 2: 103: 2: I want to change all the values in the address_type column. fillna(value_to_be_replaced, The advantage of this method is that we can conditionally replace NaN values with it. I don't want to have to store the result in a var Skip to main content. replace one column vector based on another column condition. df1. So the desired result matrix would be: My intention was to replace strings in the dataframe Step column 'description' containing "Final " in this column but my code doesn't seem to be working as intended. So, colnames(df)[i1] <- replace_with_these[i1] is replacing the wrong values in colnames(df). If for example we define outliers as being any value greater than 3 standard deviations from the mean I can achieve this per variable with the code below. I now want to conditionally replace all values in column B if column A equals "c". I have to replace values in weight column based on following conditon. Ifelse conditional statement. Hot Network Questions R – Replace Values Based on Condition; dplyr filter() Function in R; dplyr select() Function in R; dplyr slice() Function in R; dplyr distinct() Function in R; How to Replace Values in R with Examples? References. sample data I am sure this question has been asked stacks of time but I couldn't find a solution. Related. I want to replace all values in one data. For a dataframe like I have below, I am trying to selectively replace the NAs in columns a, b, and c with a 0 using R, but only when there is at least one missing value in those columns for that row. table in R: Replace a column value with a value from same column after matching two other columns values. Is it because of the replace as test_data[, var1 := replace(var1, var1==1, 'var1')]; test_data # id var1 var2 age #1: 1 0 1 26 #2: 2 var1 1 25 My guess is that replace converts the column to character while in set etc. If flag01 and flag02 are both "Ok" and Parent is NULL, replace to 'CT_00000'. 4+. What I have is a large data. I want to conditionally replace values in columns with value of specific column in the same line in one file, by Unix and awk commands. I want to replace those ". In this article, I will demonstrate how to use Power Query to conditionally replace values in a column with values from another column. The R-inferno, or the basic R-documentation will explain why using df$* is not the best approach here. we can use logical expressions, Use mutate() method from dplyr package to replace the R DataFrame column value. All you need to do is select the column vector you want to update and use the condition within . table replacing an index of values from another data. If there is a missing value in a column b_Y_1 for the corresponding line, it remains unchanged. Replace a particular value with a value from the row above. How to rename a specific value in R. table column (col1). I would like replace the missing grades in the Grade column with only the letter grades (remove the following comments) from the other columns. 2. How do I replace all the zeros in the first column with -1? It's easy to replace all the zeros in the whole array with theData[theData==0] = -1, so I thought something like this would work. In other words, colnames(df)[i1] shows the wrong variables because [i1] is the index from the vector. replace values with NA across multiple columns if a condition is met in R. So if any of the 40 TD columns started with "598" then then Category value becomes Surgery. Replacing some values Conditionally replace the values in columns to value in another column using dplyr. How do I conditionally replace values in R data frame using if/then statements? You can use ifelse, like this: The syntax is simple: This is vectorized, so you can use it on a Replace column values based on checking logical conditions in R DataFrame is pretty straightforward. Replace a value in a data frame based on a conditional (if) statement in R; replace numbers in data frame column in r [duplicate] And also how to replace all values of NA with something else: Which I'm aware is clunky, but works to a point. 3. There are ". Replace values in data frame column by values of another data frame. @apom The code chunk with the 2 mutate calls is exactly what I'm trying to do, but using a loop. Modified 3 years, 10 months ago. Replace value in column in pandas dataframe based on another column value in same row? 1. Replacing a value with 0 based on condition in same row-2. I have figured out how to replace values in a single column conditionally with mutate. 9. For this simple example, if "Column2" contains "Cat" or "Dog", then the "Column1" value should be replaced with "Course6". I've also attempted using ifelse but with the same effect. table (let's call it dt_original) and a smaller data. The output I would be after, based on my example, would still have 25 million rows but have 2,000 updated rows. Ask Question Asked 7 years, 2 months ago. Replace values in a subset of a data. Replace values in data frame based upon a condition in R. I have figured out how to replace values in R based on satisfying some condition in another column in a dataframe. Conditional replacement of values in data frame column based off multiple other columns - R. How about: missing = df. Ask Question Asked 2 years, 8 months ago. On your last case, it is a consequence of auto-indexing feature in data. Example 1: Replace Particular Value Across Entire Data Frame index value. The computation of indices is quite fast (using counting sort / true radix sorting). I want to edit dt by replacing the values in dt by the values in cb. select(df2("id"), df1("name"), df2("salary How to replace values in multiple columns according to conditions in R. I want to replace the values of column B in such a way that, when the VALUE>=5 replace with 1, else replace with 0. I have a loop that I wrote to replace any values that are not either democrat or republican in the column. 1. loc[(df['naics'] == '^31')] = '31' Replace Value in column based on another column With R. I'd like to conditionally replace a value in a row if it meets a given condition (less than zero), and I would like to do this for hundreds (twenty in the example) of columns each with 150 million rows. Modified 1 year, 1 month ago. How to Find and Replace the Asterisk (*) Character in Excel – 4 Methods; How to Find and Replace Values in Multiple Excel Files (3 Methods) How to Find and Replace in Using a for loop to Conditionally replace values in a column, according to the column? I've been trying to figure this out for hours but have had no luck. Blanks can be ignored, e. Thanks. frame df with two numeric columns, columns 1 and 2, which you want to operate on, and two non-numeric columns, which you dont want to operate on, you could do this: I have a situation where I currently use very time-consuming loops. Viewed 118k times 53 . My datasets : SPECIE (3 columns data. For example: ID value A 15 B 47 C 91 D 92 has to be changed to. Replace column value with another column value if condition met. I am trying to conditionally replace the value of a second variable based on the value of first variable. Hot Network Questions Detail about informal description of Forcing While the above works, I have a case where the number of columns run in to 100s. Here's a sample: Using R I have data in a matrix with three columns, and I would like to replace the value in the first two columns conditional on the value in the third. import pandas as pd import numpy as How to conditionally replace Pandas dataframe column values from another dataframe. Sometimes it is a specific value like NA, but sometimes exact columns, where you want to do the replacement. Hot Network Questions Los Angeles Airport Domestic to International Transfer in 90mins So now, what I basically want is, only for rows in year 2005 in the dataframe, check where there is a matching (by id) in the matrix and modify a specific column in the dataframe (that I created before as “value”) with its corresponding result in the “y” column of the matrix. x) replaces a single NA with the previous column. An example of this will be provided for only one column with mutate: dplyr::mutate(b_dups_hash_ing= ifelse(>1,b,0)) Replace values in specific column using DataFrame. frame(Col1 = 1:10, Col2 = c(&quo Skip to main content Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising & Talent Reach devs & technologists worldwide about your product, service or employer brand; OverflowAI GenAI features for Teams; OverflowAPI Train & fine-tune LLMs; Labs The future of collective knowledge sharing; About the company I have a data frame where the "Threshold" column is based on the values in the first 4 columns. How can I round conditionally the values of a column in a dataframe in R? I need to round to the lower 10 from 0-89 and not from 90-100. R replace values in one column upon matching conditions in another column. So if the dataframe currently looks like this: I have a list of data frames. ], an index is being generated automatically on your first run. The content of the article looks like this: Conditionally replacing values in a data frame is a common task when cleaning, transforming, or analyzing data. You can use one of the following methods to replace values in a data frame conditionally: Method 1: Replace Values in Entire Data Frame. What if values_to_check vector wasn't a known set of values i. Ask Question Asked 1 year, 10 months ago. Rename columns that contain string match in r. Modified 3 years, 3 months ago. For example I'd like to replace all zeros with ones. Modified 11 years, 5 months ago. If Promo2==0, NA values in that row need to be zero, else if Promo2==1 missing values should be replaced by column mean. I am trying to replace values in one dataframe when it matches an identifier in a second dataframe of a much smaller size. I have achieved the task using the following approaches. Here's some example data. Replace values in several data. Any help is appreciated. qmlmqm ukjur nxrls ihpvqyei ohmw jphld aui ldspssh jjdwldt mkkxe