Matplotlib 레이더 차트

Question

그래서 this matplotlib 예제로 실험하고있었습니다. 그것이 말하는 때문에

data = data[0:8] 

f1_CO = [0.88, 0.02, 0.02, 0.02, 0.00, 0.05, 0.00, 0.05, 0.00] 
f1_O3 = [0.89, 0.01, 0.07, 0.00, 0.00, 0.05, 0.00, 0.00, 0.03] 
f1_both = [0.86, 0.01, 0.08, 0.00, 0.00, 0.04, 0.00, 0.00, 0.01] 

그러나 잘못 : 나는 그것이 가능하도록 변경해야 할 일을 그래서

ValueError: x and y must have same first dimension 

를, 데이터 부분에서이 같은 튜플에서 그래픽을 만들기 위해 노력 터플로 음모를 꾸미는거야? 전체 코드는

from matplotlib.projections.polar import PolarAxes 
from matplotlib.projections import register_projection 
from pylab import * 
import wave 
import struct 

def radar_factory(num_vars, frame='polygon'): 
    """Create a radar chart with `num_vars` axes. 
    """ 
    # calculate evenly-spaced axis angles 
    theta = 2*pi * linspace(0, 1-1/int(num_vars), num_vars) 
    #print theta 
    #print 
    # rotate theta such that the first axis is at the top 
    theta += pi/2 

    def draw_poly_frame(self, x0, y0, r): 
     # TODO: should use transforms to convert (x, y) to (r, theta) 
     verts = [(r*cos(t) + x0, r*sin(t) + y0) for t in theta] 
     return Polygon(verts, closed=True) 

    def draw_circle_frame(self, x0, y0, r): 
     return Circle((x0, y0), r) 

    frame_dict = {'polygon': draw_poly_frame, 'circle': draw_circle_frame} 
    if frame not in frame_dict: 
     raise ValueError, 'unknown value for `frame`: %s' % frame 

    class RadarAxes(PolarAxes): 
     """Class for creating a radar chart (a.k.a. a spider or star chart) 

     http://en.wikipedia.org/wiki/Radar_chart 
     """ 
     name = 'radar' 
     # use 1 line segment to connect specified points 
     RESOLUTION = 1 
     # define draw_frame method 
     draw_frame = frame_dict[frame] 

     def fill(self, *args, **kwargs): 
      """Override fill so that line is closed by default""" 
      closed = kwargs.pop('closed', True) 
      return super(RadarAxes, self).fill(closed=closed, *args,**kwargs) 

     def plot(self, *args, **kwargs): 
      """Override plot so that line is closed by default""" 
      lines = super(RadarAxes, self).plot(*args, **kwargs) 
      for line in lines: 
       self._close_line(line) 

     def _close_line(self, line): 
      x, y = line.get_data() 
      # FIXME: markers at x[0], y[0] get doubled-up 
      if x[0] != x[-1]: 
       x = concatenate((x, [x[0]])) 
       y = concatenate((y, [y[0]])) 
       line.set_data(x, y) 

     def set_varlabels(self, labels, rvals, rlabels): 
      self.set_thetagrids(theta * 180/pi, labels) 
      self.set_rgrids(rvals, labels=rlabels, size='small') 

     def get_axes_patch(self): 
      x0, y0 = (0.5, 0.5) 
      r = 0.5 
      return self.draw_frame(x0, y0, r) 

    register_projection(RadarAxes) 
    return theta 


if __name__ == '__main__': 


    w = wave.open('C:/Python27/demo1.wav','r') 
    nf = w.getnframes() 
    sw = w.getsampwidth() 
    assert(sw==2) 
    rf = w.readframes(nf) 
    w.close() 
    data = struct.unpack("%sh" %nf,rf) 
    for i in range(9): 
     print i,data[i] 

    N = 9 
    theta = radar_factory(N) 

    data = data[0:8] 
    f1_CO = [0.88, 0.02, 0.02, 0.02, 0.00, 0.05, 0.00, 0.05, 0.00] 
    f1_O3 = [0.89, 0.01, 0.07, 0.00, 0.00, 0.05, 0.00, 0.00, 0.03] 
    f1_both = [0.86, 0.01, 0.08, 0.00, 0.00, 0.04, 0.00, 0.00, 0.01] 

    f2_base = [0.07, 0.95, 0.04, 0.05, 0.00, 0.02, 0.01, 0.00, 0.00] 
    f2_CO = [0.08, 0.94, 0.04, 0.02, 0.00, 0.01, 0.12, 0.04, 0.00] 
    f2_O3 = [0.07, 0.95, 0.05, 0.04, 0.00, 0.02, 0.12, 0.00, 0.00] 
    f2_both = [0.09, 0.95, 0.02, 0.03, 0.00, 0.01, 0.13, 0.06, 0.00] 

    f3_base = [0.01, 0.02, 0.85, 0.19, 0.05, 0.10, 0.00, 0.00, 0.00] 
    f3_CO = [0.01, 0.01, 0.79, 0.10, 0.00, 0.05, 0.00, 0.31, 0.00] 
    f3_O3 = [0.01, 0.02, 0.86, 0.27, 0.16, 0.19, 0.00, 0.00, 0.00] 
    f3_both = [0.01, 0.02, 0.71, 0.24, 0.13, 0.16, 0.00, 0.50, 0.00] 

    f4_base = [0.01, 0.01, 0.02, 0.71, 0.74, 0.70, 0.00, 0.00, 0.00] 
    f4_CO = [0.00, 0.02, 0.03, 0.38, 0.31, 0.31, 0.00, 0.59, 0.00] 
    f4_O3 = [0.01, 0.03, 0.00, 0.32, 0.29, 0.27, 0.00, 0.00, 0.95] 
    f4_both = [0.01, 0.03, 0.00, 0.28, 0.24, 0.23, 0.00, 0.44, 0.88] 

    f5_base = [0.02, 0.01, 0.07, 0.01, 0.21, 0.12, 0.98, 0.00, 0.00] 
    f5_CO = [0.02, 0.02, 0.11, 0.47, 0.69, 0.58, 0.88, 0.00, 0.00] 
    f5_O3 = [0.02, 0.00, 0.03, 0.37, 0.56, 0.47, 0.87, 0.00, 0.00] 
    f5_both = [0.02, 0.00, 0.18, 0.45, 0.64, 0.55, 0.86, 0.00, 0.16] 

    fig = figure(figsize=(9,9)) 
    fig.subplots_adjust(wspace=0.25, hspace=0.20) 
    axlist = [] 
    axisNum = 0 
    bases = [data, f2_base, f3_base, f5_base, f4_base] 
    COs = [f1_CO, f2_CO, f3_CO, f4_CO, f5_CO] 
    O3s = [f1_O3, f2_O3, f3_O3, f4_O3, f5_O3] 
    boths = [f1_both, f2_both, f3_both, f4_both, f5_both] 
    everything = [bases, COs, O3s, boths] 
    titles = ['Muestreo 1', 'Muestreo 2', 'Muestreo 3', 'Muestreo 4'] 
    colors = ['b', 'r', 'g', 'm', 'y'] 
    for row in range(2): 
     for col in range(2): 
      axisNum += 1 
      if axisNum == 2: 
       #Unfortunately, it looks like the loc keyword to legend() is 
       #relative to a specific subplot, rather than the figure itself. 
       #So, the positioning seen looks good, but if you resize the 
       #figure to be larger the legend becomes obviously bound to a 
       #specific subplot. This is in contrast to how the position works 
       #in something like figtext(). Had trouble using figlegend(), but 
       #need to try some more... 
       legend(('Factor 1', 'Factor 2', 'Factor 3', 'Factor 4', 
         'Factor 5'), loc=(0.95, 0.895), borderpad=0.01, 
         shadow=False, prop=matplotlib.font_manager 
         .FontProperties(size='smaller'), markerscale=0.4) 

      data = everything[axisNum-1] 
      ax = fig.add_subplot(2, 2, axisNum, projection='radar') 
      ax.set_title(titles[axisNum-1], weight='bold', size='medium', 
          horizontalalignment='center', 
          verticalalignment='center', 
          position=(0.5, 1.1)) 
      p1 = ax.plot(theta, data[0], color=colors[0]) 
      p2 = ax.plot(theta, data[1], color=colors[1]) 
      p3 = ax.plot(theta, data[2], color=colors[2]) 
      p4 = ax.plot(theta, data[3], color=colors[3]) 
      p5 = ax.plot(theta, data[4], color=colors[4]) 
      ax.fill(theta, data[0], facecolor=colors[0]) 
      ax.fill(theta, data[1], facecolor=colors[1]) 
      ax.fill(theta, data[2], facecolor=colors[2])  
      ax.fill(theta, data[3], facecolor=colors[3]) 
      ax.fill(theta, data[4], facecolor=colors[4]) 
      #axlist.extend(ax) #This does not work because ax is a 
           #RadarAxesSubplot object, which is not iterable 
      axlist.append(ax) #append() works because it simply tacks on to 
           #the list, as opposed to merging items from two 
           #lists 
      for patch in ax.patches: 
       patch.set_alpha(0.25) 


    figtext(0.5, 0.965, '5-Factor Solution Profiles Across Four Scenarios', ha='center', color='black', weight='bold', size='large') 



    #Crudely plot the grid lines I want to see: normalized concentrations of 
    #chemicals range from 0 to 1... 
    radiiGrid = [0.2, 0.4, 0.6, 0.8] 
    theta_rgrid = radar_factory(100) 
    for ax in axlist: 
     for r in radiiGrid: 
      radii = repeat(r, 100) 
      ax.plot(theta_rgrid, radii, color='lightgrey') 

    # FIXME: legend doesn't work when fill is called 
    spokeLabels = ['Sulfate', 'Nitrate', 'EC', 'OC1', 'OC2', 'OC3', 'OP', 
'CO', 
        'O3'] 
    radiiLabels = [str(rg) for rg in radiiGrid] 
    for ax in axlist: 
     ax.set_varlabels(spokeLabels, radiiGrid, radiiLabels) 

    show() 

Answer 1

튜플 유형에서 문제가 발생하지 않았습니다. 데이터 [0] (길이 = 9) 및 세타 (길이 = 8)가 동일한 길이 (첫 번째 차원)가 아닌 것 같습니다.

당신은 data = data[0:9]