Histogram plots created using histogram have a context menu in plot edit mode that enables interactive manipulations in the figure window. For example, you can use the context menu to …

Code generation does not support creation of histogram bar charts. Call hist with at least one output argument. If you supply nbins, then it must be a constant, scalar value. The values in …

histogram2(X,Y) creates a bivariate histogram plot of X and Y.The histogram2 function uses an automatic binning algorithm that returns bins with a uniform area, chosen to cover the range of …

Example: histogram(X,'FaceAlpha',1) creates a histogram plot with fully opaque bars. EdgeAlpha — Transparency of histogram bar edges 1 (default) | scalar in range [0,1] Transparency of …

Create a histogram with a normal distribution fit in each set of axes by referring to the corresponding Axes object. In the left subplot, plot a histogram with 10 bins. In the right …

You can normalize histogram values as percentages by specifying the Normalization name-value argument as 'percentage'. R2023a: Improved performance with small numeric and logical …

Create a bivariate histogram and add the 2-D projected view of intensities to the histogram. Load the seamount data set (a seamount is an underwater mountain). The data set consists of a set …

2016年1月9日 · I really need to optimize a function so as to make it as fast as possible. In it, I use the histogram function. All I need is the histogram().Values and histogram().BinEdges data. I …

Prior to R2017a, the histogram and histcounts functions used only binned data to calculate normalizations. This behavior meant that if some of the data ended up outside the bins, it was …

Create a histogram bar plot directly from SelfAssessedHealthStatus. This categorical array is an ordinal categorical array. The categories have the ordering Poor < Fair < Good < Excellent, …