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To add a check box, edit field, or button, go to the Live Editor tab, click Control , and select from the available controls. For more information, see Add Interactive Controls to a Live Script.
By default, when you change the value of an interactive control, the Live Editor runs the section that contains the control. You can now configure an interactive control to run all sections, run the current section and all remaining sections, or to do nothing.
Configuring an interactive control to do nothing when changed is useful when your live script contains multiple interactive controls and you only want to run the code after changing all of their values. Add a button to the live script to run the code when clicked.
To create editable, static documents capable of being viewed outside of MATLAB, save live scripts and functions as Microsoft Word documents. To save a live script or function as a Microsoft Word document, on the Live Editor tab, select Save > Export to Word. This format is only available on Windows platforms.
To clean a categorical variable in a table, click the down arrow to the right of the variable name and select Edit Categories. Use the available options to create, remove, and merge categories.
To add the generated code to your live script, click the Update Code button below the table. Adding the generated code to your live script ensures that the cleaning and filtering is reproduced the next time you run the live script.
In the Live Editor, you can interactively change the data type of a variable in table output. Right-click the variable column in the table, select Convert from datatype to, and select from the available options.
Break large scripts or functions into smaller pieces by converting selected code into functions in files or local functions. With one or more lines of code selected, on the Live Editor tab, in the Code section, click Refactor, and then select from the available options. MATLAB creates a function with the selected code and replaces the original code with a call to the newly created function.
To create a project from an existing folder of files, in the desired folder, go to the Home tab, and select New > Project > From Folder. MATLAB creates the project and adds your existing files to the project.
To call a MATLAB script or function non-interactively, start MATLAB with the -batch option. The option is for non-interactive use in both scripting and command-line workflows. MathWorks recommends that you use the -batch option instead of the -r statement option for these cases.
Unlike the strcat function, append treats all input data types the same. For example, if an input argument has trailing whitespace characters, then append always keeps them, even when the argument is a character vector.
Starting in R2019a, the resources folder is a reserved folder, and folders with the name resources are not allowed on the MATLAB path. In previous releases, these folders were allowed on the MATLAB path.
If a folder named resources is specified when calling the addpath, userpath, or pathdef functions, MATLAB returns a warning and the folder is not added to the path. If you have a folder named resources, MATLAB is unable to run any of the contents of that folder, even if the resources folder is the current folder.
Starting in R2019a, the dimensions of an expanded cell array are consistent whether you use curly braces or parentheses for indices. Previously, the output dimensions were different when you did not specify indices for all dimensions. Indexing with curly braces now matches the previous behavior for indexing with parentheses, which is consistent with general array expansion.
Starting in R2019a, the dimensions of an expanded structure array are consistent whether you assign a value to a single field using dot notation or assign an entire structure to the array. Previously, the output dimensions were different when you did not specify indices for all dimensions. Assigning to a field using dot notation now matches the previous behavior of assigning a structure, which is consistent with general array expansion.
In previous releases, if a class defined a property using a size validation that contained unrestricted dimensions (indicated by a colon, such as (:,:)), then assigning an empty array of any size to the property resulted in an empty array of size (0,0). For example, given this class definition:
Starting in R2019a, using unrestricted size validation for properties does not cause the size of empty arrays assigned to the properties to be reshaped to (0,0). In R2019a, the same class definition produces these results for assignment to Prop1.
The ismethod function is documented to look for a method of the object that is specified as the first input. However, the ismethod function treats string and char inputs as a class name and looks for the specified method in that class. Therefore, you cannot use ismethod to find a method of an input object that is a string or char array. In future releases, ismethod will return true only if the second input is the name of a method of the first input object. ismethod will not treat the first input as a class name.
In a future release, running or opening program files larger than approximately 128MB will not be supported. For files that contain only code (for example, .m and .p files), this limit will affect the file size. For files that store more than just code (for example, .mlx files), it will affect the size of the code. Running statements larger than 128MB, either directly in the Command Window or using the eval function, also will not be supported. In addition, code with high levels of complexity, such as a large number of deeply nested if statements, will not be supported. Currently, these files and code are supported but can cause errors or unpredictable behavior.
Large program file or statement sizes often occur when using large portions of code (for example, over 500 lines) to define variables with constant values. To decrease the size of these files, consider defining the variables and saving them in a data file (for example, a MAT-file or .csv file). Then you can load the variables instead of executing code to generate them. This not only decreases the file size of your program, but can also increase performance.
The functions listed in this table now support tall arrays as inputs. For a complete list of supported functions, type methods tall. For more information on usage and limitations, see the Extended Capabilities section at the bottom of each reference page.
Starting in R2019a, the default random number generator for tallrng is threefry. This generator offers performance enhancements for parallel calculations over the old default. In releases up to R2018b, the default random number generator for tallrng was combRecursive.
With a different default generator, MATLAB will generate different sequences of random numbers by default in the context of tall arrays. However, the statistics of these calculations will remain unaffected. Therefore, you should update any code that relies on the specific random numbers being generated. However, most calculations on the random numbers should be unaffected.
Import and export column-oriented data from Parquet files in MATLAB. Parquet is a columnar storage format that supports efficient compression and encoding schemes. To work with the Parquet file format, use these functions.
Read and process large files in smaller portions. For example, you can create a datastore that reads one array at a time from a large MAT-file that does not fit in the available memory. To set up your datastore to perform partial reads, use these name-value pairs: 'ReadMode', 'PreviewFcn', and 'BlockSize'.
Author a custom datastore to access data stored in files or non-file-based data sources such as a databases using matlab.io.datastore.HadoopLocationBased mixin. Use this extension to specify the location of your data in Hadoop. A custom datastore with the HadoopLocationBased mixin makes computations more efficient by leveraging the location of the data. With your custom datastore you can perform big data analysis by using tall arrays and mapreduce.
You can change the default behavior of the web function to open external sites in your system browser instead of the MATLAB browser. Using the system browser is recommended when opening external sites. To change the default behavior, go to the Home tab, and in the Environment section, click Preferences. Select MATLAB > Web, and in the System Web browser section, select Use system web browser when opening links to external sites (recommended).
The NumberOfChannels property of the audioplayer and audiorecorder objects is not recommended. Use the name NumChannels instead. To update your code, change instances of NumberofChannels to NumChannels. The values of the properties are the same. There are no plans to remove the NumberOfChannels property at this time.
In future releases, the web function will open external sites using your system browser by default. Currently, the web function opens external sites using the MATLAB browser. Using the system browser is recommended when opening external sites.
Starting in R2019a, use the HadoopLocationBased mixin to add Hadoop support to your custom datastore. The HadoopLocationBased mixin provides support for non-file-based data whereas HadoopFileBased supports file-based data only.
The graph, digraph, and addedge functions now support categorical node names as inputs. This enables you to use data that is imported as categorical to create a graph, without the need for data type manipulation.
To create a parallel coordinates plot, use the parallelplot function. Rows of the input data correspond to lines in the plot, and columns of the input data correspond to coordinates in the plot. To group the lines in the plot, you can use either the 'GroupVariable' name-value pair argument with tabular data or the 'GroupData' name-value pair argument with matrix data.
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