How to Remove Nan Values from a Matrix in MATLAB? Last Updated : 04 Jul, 2021 Comments Improve Suggest changes Like Article Like Report Removal of Nan Values from a Matrix.There are multiple methods by which we can remove Nan values from a specified matrix:. Method 1: By using rmmissing( ) This function is used to remove missing entries or Nan values from a specified matrix. Syntaxrmmissing(A) Parameters: This function accepts a parameter which is illustrated below: A: This is the specified matrix of elements. Return Value: It returns the matrix without missing entries or Nan values. Example: Matlab % MATLAB code for remove NaN % values using rmmissing() A = [1, NaN, 2, 3 NaN, 4]; % Initializing % of matrix % Calling the rmmissing() function over % the above matrix B = rmmissing(A) Output: Method 2: By using isnan( ) This function is used to return a matrix of 1 i.e. true for the elements like NaN, and 0 i.e. false when they are not. Syntaxisnan(A) Parameters: This function accepts a parameter. A: This is the specified matrix of elements. Return Value: It returns the matrix of logical values. Example: Matlab % MATLAB code for remove NaN values using isnan() A = [1, 2, NaN, 3, 4]; % Initializing of matrix % Calling isnan() function and getting matrix % boolean values i.e. 1 or 0 B = isnan(A) % Getting a new matrix "C" without NaN values % which was originally "A" C = A(~B) Output: Comment More infoAdvertise with us Next Article Turn a Matrix into a Row Vector in MATLAB K Kanchan_Ray Follow Improve Article Tags : Software Engineering MATLAB MATLAB-programs Similar Reads How to find missing values in a matrix in R In this article, we will examine various methods for finding missing values in a matrix by using R Programming Language. What are missing values?The data points in a dataset that are missing for a particular variable are known as missing values. These missing values are represented in various ways s 3 min read How to remove decimal in MATLAB? In this article, we are going to discuss the "Removal of decimal point" in MATLAB which can be done using sprintf(), fix(), floor(), round() and num2str() functions which are illustrated below. Using sprintf() The sprintf() function is used to write formatted data to a string. Syntax: sprintf(format 3 min read How to find missing values in a list in R Missing values are frequently encountered in data analysis. In R Programming Language effectively dealing with missing data is critical for correct analysis and interpretation. Whether you're a seasoned data scientist or a new R user, understanding how to identify missing values is critical. In this 3 min read Turn a Matrix into a Row Vector in MATLAB Conversion of a Matrix into a Row Vector. This conversion can be done using reshape() function along with the Transpose operation. This reshape() function is used to reshape the specified matrix using the given size vector. Syntax:reshape(A, sz) Parameters: This function accepts two parameters, whic 1 min read Clear variable from Memory in MATLAB Clearing variables from memory, with the help of clearvars operation. The clearvars operation is used to clear the specified variables from memory or from the currently active workspace. Syntax:clearvars variables clearvars -except keepVariables Parameters: This function accepts a parameter. variabl 1 min read How to Drop Rows with NaN Values in Pandas DataFrame? In Pandas missing values are represented as NaN (Not a Number) which can lead to inaccurate analyses. One common approach to handling missing data is to drop rows containing NaN values using pandas. Below are some methods that can be used:Method 1: Using dropna()The dropna() method is the most strai 2 min read Like