def contourf(self, dir, var, **kwargs):
"""
Plot a windrose in filled mode. For each var bins, a line will be
draw on the axes, a segment between each sector (center to center).
Each line can be formated (color, width, ...) like with standard plot
pylab command.
Mandatory:
* dir : 1D array - directions the wind blows from, North centred
* var : 1D array - values of the variable to compute. Typically the wind
speeds
Optional:
* nsector: integer - number of sectors used to compute the windrose
table. If not set, nsectors=16, then each sector will be 360/16=22.5°,
and the resulting computed table will be aligned with the cardinals
points.
* bins : 1D array or integer- number of bins, or a sequence of
bins variable. If not set, bins=6, then
bins=linspace(min(var), max(var), 6)
* blowto : bool. If True, the windrose will be pi rotated,
to show where the wind blow to (usefull for pollutant rose).
* colors : string or tuple - one string color ('k' or 'black'), in this
case all bins will be plotted in this color; a tuple of matplotlib
color args (string, float, rgb, etc), different levels will be plotted
in different colors in the order specified.
* cmap : a cm Colormap instance from matplotlib.cm.
- if cmap == None and colors == None, a default Colormap is used.
others kwargs : see help(pylab.plot)
"""
bins, nbins, nsector, colors, angles, kwargs = self._init_plot(dir, var,
**kwargs)
null = kwargs.pop('facecolor', None)
null = kwargs.pop('edgecolor', None)
#closing lines
angles = np.hstack((angles, angles[-1]-2*np.pi/nsector))
vals = np.hstack((self._info['table'],
np.reshape(self._info['table'][:,0],
(self._info['table'].shape[0], 1))))
offset = 0
for i in range(nbins):
val = vals[i,:] + offset
offset += vals[i, :]
zorder = ZBASE + nbins - i
xs, ys = poly_between(angles, 0, val)
patch = self.fill(xs, ys, facecolor=colors[i],
edgecolor=colors[i], zorder=zorder, **kwargs)
self.patches_list.extend(patch)
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