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Help Center Help Center. Live Editor: Edit a figure interactively including title, labels, legend, and other annotations. In the Live Editor, you can add formatting and annotations to a figure interactively. To add an item go to the Figure tab and in the Annotations section, select from these available options:. X-Label , Y-Label. Grid , X-Grid , Y-Grid. For more information, see Modify Figures in Live Scripts. Live Editor: Get suggestions for mistyped commands and variables.

If you enter an undefined command or variable name, MATLAB displays: Did you mean: followed by a suggested command under the error message. Press the Fix button to replace the mistyped command with the suggested fix. Live Editor: Copy live script outputs to other applications. When copying from the Live Editor to other applications, in line outputs within the selection are included along with the code and text. In applications that support only plain text, the code and text is copied, but outputs are not.

You also can copy an output by right-clicking the output and selecting a copy option from the context menu. Live Editor: Hover over variables to see their current value. You can view the current value of a variable as a data tip in the Live Editor. To view the data tip, position your mouse pointer over the variable. Data tips are enabled by default in the Live Editor.

To enable or disable data tips, with a live script open in the Live Editor, go to the View tab, and in the Display section, select or deselect Datatips. Startup Folder Behavior Changes: Set initial working folder using new options and behaviors. The options to set the initial working folder startup folder have changed. To use the initial working folder set in the general preferences panel, use the -useStartupFolderPref startup option.

To set the startup folder from the command prompt, use the -sd option. For information about the command line options to set the initial working folder, see matlab Mac , matlab Windows , and matlab Linux. If you start MATLAB from a command window and want the startup folder to be the value set in the general preferences panel , then add the -useStartupFolderPref startup option. You can create strings using double quotes, just as you can create character vectors with single quotes. For more information, see Characters and Strings.

String Functions: Return character arrays or cell arrays instead of string arrays. The data type of the output argument has changed for the compose , extractAfter , extractBefore , extractBetween , join , split , and splitlines functions. As of Ra, the output data type depends on the type of the first input argument. If the first input argument is a string array, then the output argument is a string array. If the first input argument is a character vector, then the output argument is either a character vector or a cell array of character vectors.

If the first input argument is a cell array of character vectors, then the output argument is either a character vector or a cell array of character vectors. To assign missing values to elements of an array or table, use the missing function. Use the issortedrows function to determine if matrix or table rows are sorted. For example, issortedrows A,’descend’ checks if the rows of a matrix A are in descending order based on the elements in the first column.

Indicate how you want to sort complex numbers and place missing elements using the sort and sortrows functions with the ‘ComparisonMethod’ and ‘MissingPlacement’ options. For example, if A is a numeric vector containing complex numbers, then sort A,’ComparisonMethod’,’real’,’MissingPlacement’,’last’ sorts by the real part of each element and places NaN values at the end of the sort.

You can determine if an array is sorted using the ‘monotonic’ , ‘strictmonotonic’ , ‘strictascend’ , and ‘strictdescend’ options with the issorted function. For example, issorted A,’strictmonotonic’ checks if a vector A is strictly monotonic.

To return the top or bottom rows of a table or a timetable, you can use the head and tail functions. When you join tables, sort tables, or use grouping variables, you can specify row labels and table variables together as key variables, sorting variables, or grouping variables. You can specify them in the innerjoin , join , outerjoin , rowfun , sortrows , stack , unstack , and varfun functions. In previous releases, you could specify row labels or table variables, but not both together.

Row labels are the row names of a table or the row times of a timetable. The innerjoin , join , and outerjoin functions have limitations on key variables:. You cannot perform an inner or outer join using row labels as the left key and a table variable as the right key.

To perform the inner or outer join, convert the row labels to a table variable and use the new variable as a key. You cannot perform an outer join using both row labels and table variables as key variables. To perform the outer join, convert the row labels to a table variable, or use the row labels as the only key variable.

You cannot specify a table as the first input when you perform an inner or outer join on a table and a timetable. The timetable must be the first input. Functionality being removed or changed. Starting in Ra, the output data type depends on the data type of the first input argument. In Rb, these functions always return string arrays. For more information, see String Functions: Return character arrays or cell arrays instead of string arrays. To determine whether the rows of a matrix are sorted, use the issortedrows function.

To determine whether row times or table variables of a timetable are sorted, use the issortedrows function. Starting in Ra, you can specify row labels and table variables together as key variables, sorting variables, or grouping variables. For more information, see table Data Containers: Use row labels when performing join, sort, and grouping operations. Live Editor.

In future releases, calling notebook returns an error. Your working folder becomes invalid if you delete it while it is your current working folder.

In previous versions of MATLAB, if your current working folder was invalid and you called dir with an input, dir returned empty. To create a heatmap chart, use the heatmap function. Legends now automatically update when you add or remove graphics objects from the axes. Previously, legends did not automatically add items for new graphics objects or remove items for deleted graphics objects.

For example, this code plots a line and adds a legend. Then the code plots a second line. The legend automatically updates to include the second line. If you add or delete a graphics object after creating a legend, the number of items in the legend can differ from previous releases.

For example, plot a line and create a legend. The plot displays a marker at the maximum point. If you do not want the legend to update automatically, set the AutoUpdate property of the legend to ‘off’. Graphics objects added to the axes after the legend is created do not appear in the legend. To change the behavior for newly created legends, set the default value of the AutoUpdate property. To affect all new legends, set the value on the root level. Alternatively, to affect all new legends in a particular figure, set the value on the figure level.

After you set the default value, any new legends have an AutoUpdate property set to ‘off’. Specifying the graphics objects to include in the legend as an input argument to the legend function.

For example, this code creates a legend that includes only the graphics objects referred to by p1 and p2. However, graphics objects added to the axes after the legend is created do appear in the legend. Consider creating the legend after creating all the plots to avoid extra items.

Excluding graphics objects from the legend by setting their HandleVisibility property to ‘off’. The HandleVisibility property also controls the visibility of the graphics object in the Children property of its parent. Excluding graphics objects from the legend by setting the IconDisplayStyle property of the underlying annotation object to ‘off’.

Categorical Plotting: Use categorical data in common plotting functions and customize axes with categorical rulers. These graphics functions accept input data of type categorical. Also, you can use the new categorical ruler to customize the axes.

For example:. For a complete list of properties, see CategoricalRuler. Additionally, you can bin the data using units of time as the bin edges, such as ‘second’ , ‘hour’ , or ‘week’.

This functionality is most useful with data sets that have a large number of categories, since it enables you to, for example, plot only the 10 largest bars or only the 15 smallest bars. Scatter Plots: Create scatter plots with varying marker sizes faster. When you create a scatter plot and specify the marker sizes using the SizeData property, the scatter plot renders with improved performance. The default parula colormap has enhanced colors that are more perceptually uniform.

This table shows a comparison between the Ra and Rb versions of the parula colormap. The visual change is subtle; however, you might notice more colorful colors and smoother transitions between colors.

Plots that use the parula colormap maintain their overall visual appearance.

 
 

 

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