使用幅度向量在极坐标中创建绘图

2 回答

• 1

  我想你是在polarplot之后：

  ang_deg = sort(rand(1,24)*360); % some random angles
  ang_rad = ang_deg*pi/180; % convert degrees to radians for polarplot
  values = rand(1,24); % random values to plot
  polarplot(ang_rad, values);
  

  唉，这个功能是在2016a版本上引入的 .
  对于旧版本，请改用polar（感谢Thales指出这一点） .

  回复于 2024-05-13T18:36:20+08:00
• 1

  您可以使用compass：

  ang = deg2rad(linspace(0,360,24));% angles
  vals = 1:24; % values
  % convert the values to vector components
  U = vals.*cos(ang);
  V = vals.*sin(ang);
  % plot:
  hp = compass(U,V);
  

  你得到：

  

  但是，如果你想要酒吧而不是箭头，那就更棘手了 . 从上面绘制 hp 后，您应该执行以下操作：

  % get all X and Y data from the plot:
  arrowsX = cell2mat(get(hp,'XData'));
  arrowsY = cell2mat(get(hp,'YData'));
  % delete all arrows head values:
  set(hp,{'XData'},num2cell(arrowsX(:,1:2),2));
  set(hp,{'YData'},num2cell(arrowsY(:,1:2),2));
  % make the lines look like bars:
  set(hp,{'LineWidth'},num2cell(ones(24,1)*6));
  

  

  If you have Matlab R2016b 你可以使用polarhistogram：

  ang = deg2rad(linspace(0,360,25));% angles
  vals = 1:24; % values
  polarhistogram('BinEdges',ang,'BinCounts',vals)
  

  但是在这里指定 BinEdges 以便将二进制位移到 ang 是一个不太直接的，需要一些操作：

  ang = rand(24,1)*2*pi; % angles
  vals = rand(24,1); % values
  % assuming your data is like 'ang' and 'vals' above:
  data = sortrows([ang vals],1); % sort the data
  % set the width of the bars by the smallest one:
  w = min(diff(sort(ang,'ascend')))*0.5; 
  % define the bins location:
  low = max(w,data(:,1)-w);
  high = min(2*pi,data(:,1)+w);
  binEdge = [low high].';
  % set zeros to all the 'spare' bins:
  counts = [data(:,2) zeros(size(data,1),1)].';
  counts = counts(:);
  % plot:
  polarhistogram('BinEdges',binEdge(:),'BinCounts',counts(1:end-1))
  

  结果（对于一些随机数据）：

  

  回复于 2024-05-13T18:36:20+08:00