I have the code below, and i want to add a label with each data point. For the first data point, i want to label it '1', and second data point '2' and so on. 테마복사 tenFootHorizontal = [2,3,-4.-1] tenFootVeetical = [1,3,0,.5] scatter(tenFootHorizontal,tenFootVe...
plot是绘制,绘制任何函数图像都可以调用plot ”*“是函数图像指定的线性,表示用*表示线性(下面连接例子比较齐全,可以参考一下) 二维线图 - MATLAB plot - MathWorks 中国ww2.mathworks.cn/help/matlab/ref/plot.html label就是横纵坐标的标签,如果不写后面两行label的代码,我们来看一下 就没有x/y的标签了 ...
legendData = {'A','B'}; % 图例内容 [legend_h, object_h, plot_h, text_str] = legendflex(p1, legendData, 'FontName','Times New Roman','FontSize', 10, 'Location', 'NorthEast'); % 本方法的实质是添加另一组条形图作为图例,故需要设置两次填充hatchfill2 % object_h(1)为主图条形组图...
A convenient way to plot data from a table is to pass the table to the plot function and specify the variables to plot. Read weather.csv as a timetable tbl. Then display the first three rows of the table. Get tbl = readtimetable("weather.csv"); tbl = sortrows(tbl); head(tbl,3...
Then add axis labels, and turn on the grid to make it easier to visualize the points within the plot box. Get plot3(x,y,z,'o','DurationTickFormat','mm:ss') xlabel('X') ylabel('Y') zlabel('Duration') grid on Plot Line With Marker at One Data Point Copy Code Copy Command ...
1、首先打开电脑上的“matlab”软件,主界面如下图所示,箭头处输入代码即可运行。2、下面输入代码绘制图像,命令行代码如下图所示。3、点击enter键之后,即可运行程序绘制图像,正弦函数图像,可以看到x和y的坐标轴刻度。4、下面使用set(gca,'XTick',0:pi/2:2*pi);set(gca,'XTicklabel',{'0', ...
A convenient way to plot data from a table is to pass the table to the plot function and specify the variables to plot. Read weather.csv as a timetable tbl. Then display the first three rows of the table. Get tbl = readtimetable("weather.csv"); tbl = sortrows(tbl); head(tbl,3...
pie_labels{ii} = sprintf('Label %i', ii); end % Pre-allocation wedge_colors = cell(num_pie, 1); percent_status = cell(num_pie, 1); % Default arguments rho_lower = 0.2; edge_color = 'k'; line_width = 2; line_style = '-'; ...
print('元素类型: ', a.dtype) #返回data-type,表示数组中元素类型 print('每个元素的大小: ', a.itemsize) #返回int,表示数组每个元素的大小(字节) 1.3 生成随机数 (1)生成均匀分布的随机数 a=np.random.rand(3,3); print(a) (2)生成正态分布的随机数 ...
'data.mat' ); % 加载数据集 X = data.X; % 输入数据 y = data.y; % 输出标签 % 数据标准化 [X_scaled, mz, sikgma]=zscoxe(X); % 对数据进行标准化处理 解释:我们加载数据集,并对输入数据进行标准化处理,使其具有零均值和单位方差,有利她模型训练。