plotmatrix(X)is the same asplotmatrix(X,X)except that the subaxes along the diagonal are replaced with histogram plots of the data in the corresponding column ofX. For example, the subaxes along the diagonal in theith column is replaced byhistogram(X(:,i)). The tick labels along the ...
labels the x-axes and y-axes of the scatter plots using the column names specified in xnam and ynam. The input arguments xnam and ynam must contain one name for each column of X and Y, respectively. example gplotmatrix(parent,___) creates the scatter plot matrix in the figure or ...
MATLAB中使用scatter()函数和plotmatrix()函数来绘制散点图。 1、scatter() 调用格式: scatter(x,y): 绘制关于x和y的散点图,此处没有设置属性,绘图时采用默认的颜色和大小绘制数据点。 scatter(x,y,s): s指定标记点的大小。若标记点大小不变,则s为标量。若需要变动大小,s为长度和x一样的向量。 scatter(...
plotmatrix 散点图矩阵,见(九) parallelplot 创建平行坐标图,见(九) 2.3 饼图、热图和文字云 pie 饼图,见(十)、(一) pie3 三维饼图,见(十)、(一) heatmap 创建热图,见(十一) sortx 对热图行中的元素进行排序,见(十一) sorty 对热图列中的元素进行排序,见(十一) wordcloud 使用文本数据创建文字云图...
corrMatrix = corr(data); % 计算相关矩阵 一旦我们有了相关矩阵,我们就可以使用图表视化来展示相关值的强度。我们可以使用热图来显示相关值,其中颜色的深浅表示相关值的强度。在Matlab中,我们可以使用heatmap函数来实现热图的可视化。以下是一个简单的示例代码: ...
matlab平面绘制函数图像有多个函数,plot,ezplot等。 1.1 plot函数 查看matlab的帮助文件可知plot函数的调用格式有 PLOT Linear plot. PLOT(X,Y) plots vector Y versus vector X. If X or Y is a matrix, then the vector is plotted versus the rows or columns of the matrix, ...
Vector and Matrix Data scatter(x,y) creates a scatter plot with circular markers at the locations specified by the vectors x and y. To plot one set of coordinates, specify x and y as vectors of equal length. To plot multiple sets of coordinates on the same set of axes, specify at lea...
For named nodes, the node labels are G.Nodes.Name'. Example: {'A', 'B', 'C'} Example: [1 2 3] Example: plot(G,'NodeLabel',G.Nodes.Name) labels the nodes with their names. Data Types: single | double | int8 | int16 | int32 | int64 | uint8 | uint16 | uint32 | uint...
This MATLAB function labels the current contour plot with rotated text inserted into each contour line.
pred_labels = classify(net,table(test_imgs)); accuracy = sum(pred_labels == test_labels)/length(test_labels) plotconfusion(test_labels,pred_labels) %不推荐使用在categories类的标签的分类问题上 ConfusionMatrix figure cm = confusionchart(test_labels,pred_labels); %推荐使用 ...