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""" ====================================== Radar chart (aka spider or star chart) ====================================== This example creates a radar chart, also known as a spider or star chart [1]_. Although this example allows a frame of either 'circle' or 'polygon', polygon frames don't have proper gridlines (the lines are circles instead of polygons). It's possible to get a polygon grid by setting GRIDLINE_INTERPOLATION_STEPS in matplotlib.axis to the desired number of vertices, but the orientation of the polygon is not aligned with the radial axes. .. [1] http://en.wikipedia.org/wiki/Radar_chart """ import numpy as np import matplotlib.pyplot as plt from matplotlib.path import Path from matplotlib.spines import Spine from matplotlib.projections.polar import PolarAxes from matplotlib.projections import register_projection def radar_factory(num_vars, frame='circle'): """Create a radar chart with `num_vars` axes. This function creates a RadarAxes projection and registers it. Parameters ---------- num_vars : int Number of variables for radar chart. frame : {'circle' | 'polygon'} Shape of frame surrounding axes. """ # calculate evenly-spaced axis angles theta = np.linspace(0, 2*np.pi, num_vars, endpoint=False) # rotate theta such that the first axis is at the top def draw_poly_patch(self): verts = unit_poly_verts(theta) return plt.Polygon(verts, closed=True, edgecolor='k') def draw_circle_patch(self): # unit circle centered on (0.5, 0.5) return plt.Circle((0.5, 0.5), 0.5) patch_dict = {'polygon': draw_poly_patch, 'circle': draw_circle_patch} if frame not in patch_dict: raise ValueError('unknown value for `frame`: %s' % frame) class RadarAxes(PolarAxes): name = 'radar' # use 1 line segment to connect specified points RESOLUTION = 1 # define draw_frame method draw_patch = patch_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 = np.concatenate((x, [x[0]])) y = np.concatenate((y, [y[0]])) line.set_data(x, y) def set_varlabels(self, labels): self.set_thetagrids(np.degrees(theta), labels) def _gen_axes_patch(self): return self.draw_patch() def _gen_axes_spines(self): if frame == 'circle': return PolarAxes._gen_axes_spines(self) # The following is a hack to get the spines (i.e. the axes frame) # to draw correctly for a polygon frame. # spine_type must be 'left', 'right', 'top', 'bottom', or `circle`. spine_type = 'circle' verts = unit_poly_verts(theta) # close off polygon by repeating first vertex verts.append(verts[0]) path = Path(verts) spine = Spine(self, spine_type, path) spine.set_transform(self.transAxes) return {'polar': spine} register_projection(RadarAxes) return theta def unit_poly_verts(theta): """Return vertices of polygon for subplot axes. This polygon is circumscribed by a unit circle centered at (0.5, 0.5) """ x0, y0, r = [0.5] * 3 verts = [(r*np.cos(t) + x0, r*np.sin(t) + y0) for t in theta] return verts def example_data(): # The following data is from the Denver Aerosol Sources and Health study. # See doi:10.1016/j.atmosenv.2008.12.017 # # The data are pollution source profile estimates for five modeled # pollution sources (e.g., cars, wood-burning, etc) that emit 7-9 chemical # species. The radar charts are experimented with here to see if we can # nicely visualize how the modeled source profiles change across four # scenarios: # 1) No gas-phase species present, just seven particulate counts on # Sulfate # Nitrate # Elemental Carbon (EC) # Organic Carbon fraction 1 (OC) # Organic Carbon fraction 2 (OC2) # Organic Carbon fraction 3 (OC3) # Pyrolized Organic Carbon (OP) # 2)Inclusion of gas-phase specie carbon monoxide (CO) # 3)Inclusion of gas-phase specie ozone (O3). # 4)Inclusion of both gas-phase species is present... data = [ ['1', '2', '3', '4', '5', '6', '7', '8', '9','10','11', '12', '13', '14', '15', '16', '17', '18', '19','20','21', '22', '23', '24', '25', '26', '27', '28', '29','30','31', '32', '33', '34', '35',], ('Basecase', [ [1004.72,445.717,862.441,550.069,848.328,550.067,815.25,739.188,923.845,871.974,886.006,549.924,838.862,706.268,938.187,810.32,824.671,933.573,928.955,1194.19,985.606,1492.45,781.973,928.788,777.108,1194.08,616.147,1421.46,995.02,426.756,1009.43,435.993,923.875,426.812,0,0], [1004.72,426.553,862.482,516.789,852.879,521.388,815.141,701.361,933.637,810.522,881.393,512.215,838.862,706.268,938.187,810.32,810.192,900.394,886.111,1184.49,961.972,1478.15,796.163,890.991,777.304,1170.25,639.949,1407.18,995.02,398.15,1009.43,435.993,919.39,398.261,0,0], [1004.6,407.834,867.131,493.143,852.879,502.434,815.141,668.288,961.761,772.42,886.006,488.263,838.862,706.268,938.187,810.32,786.683,886.181,838.717,1170.37,886.241,1463.97,805.531,881.328,786.741,1151.4,649.403,1350.29,990.412,388.887,1009.43,435.993,919.278,388.74,0,0], [0.02, 0.01, 0.07, 0.01, 0.21, 0.12, 0.98, 0.00, 0.00], [0.01, 0.01, 0.02, 0.71, 0.74, 0.70, 0.00, 0.00, 0.00]]), ('With CO', [ [0.88, 0.02, 0.02, 0.02, 0.00, 0.05, 0.00, 0.05, 0.00], [0.08, 0.94, 0.04, 0.02, 0.00, 0.01, 0.12, 0.04, 0.00], [0.01, 0.01, 0.79, 0.10, 0.00, 0.05, 0.00, 0.31, 0.00], [0.00, 0.02, 0.03, 0.38, 0.31, 0.31, 0.00, 0.59, 0.00], [0.02, 0.02, 0.11, 0.47, 0.69, 0.58, 0.88, 0.00, 0.00]]), ] return data if __name__ == '__main__': N = 9 theta = radar_factory(N, frame='polygon') data = example_data() spoke_labels = data.pop(0) fig, axes = plt.subplots(figsize=(9, 9), nrows=2, ncols=2, subplot_kw=dict(projection='radar')) fig.subplots_adjust(wspace=0.25, hspace=0.20, top=0.85, bottom=0.05) colors = ['b', 'r', 'g', 'm', 'y'] # Plot the four cases from the example data on separate axes for ax, (title, case_data) in zip(axes.flatten(), data): ax.set_rgrids([0.2, 0.4, 0.6, 0.8]) ax.set_title(title, weight='bold', size='medium', position=(0.5, 1.1), horizontalalignment='center', verticalalignment='center') for d, color in zip(case_data, colors): ax.plot(theta, d, color=color) ax.fill(theta, d, facecolor=color, alpha=0.25) ax.set_varlabels(spoke_labels) # add legend relative to top-left plot ax = axes[0, 0] labels = ('Factor 1', 'Factor 2') legend = ax.legend(labels, loc=(0.9, .95), labelspacing=0.1, fontsize='small') fig.text(0.5, 0.965, '5-Factor Solution Profiles Across Four Scenarios', horizontalalignment='center', color='black', weight='bold', size='large') plt.show()
ValueError Traceback (most recent call last) <ipython-input-7-fb53d645cde3> in <module>() 174 horizontalalignment='center', verticalalignment='center') 175 for d, color in zip(case_data, colors): --> 176 ax.plot(theta, d, color=color) 177 ax.fill(theta, d, facecolor=color, alpha=0.25) 178 ax.set_varlabels(spoke_labels) 5 frames /usr/local/lib/python3.6/dist-packages/matplotlib/axes/_base.py in _xy_from_xy(self, x, y) 229 if x.shape[0] != y.shape[0]: 230 raise ValueError("x and y must have same first dimension, but " --> 231 "have shapes {} and {}".format(x.shape, y.shape)) 232 if x.ndim > 2 or y.ndim > 2: 233 raise ValueError("x and y can be no greater than 2-D, but have " ValueError: x and y must have same first dimension, but have shapes (9,) and (36,)
BecauseとCOwithのデータ箇所何ですがcsvファイルを読み込むコードを使用したのですが，filenameとやってもうまくいかず，教えたいただきたいです．
もう一つあるのですが，項目と形があっていないようでエラーになります．エラーの修正方法を教えていただきたいです．
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