Module type2fuzzy.display.zslicetype2fuzzysetplot

Classes

class ZSliceType2FuzzySetPlot (zt2fs)

Plotter class for a interval type-2 fuzzy set.

init

Arguments:

it2fs – a general type-2 fuzzy set

Expand source code

class ZSliceType2FuzzySetPlot():
        '''
        Plotter class for a interval type-2 fuzzy set.
        '''

        def __init__(self, zt2fs):
                '''
                init

                Arguments:
                ----------
                it2fs -- a general type-2 fuzzy set
                '''
                self._zslicetype2set = zt2fs
                self.divs = 5

        def plot(self, curr_ax):
                '''
                Plots a general type-2 fuzzy set as an image

                Arguments:
                ----------
                ax -- the axis for this plot
                row -- the row where this plot is placed
                col -- the column where this row is placed
                '''
                # and set them as current axis
                # curr_ax = ax[row,col]


                colors = dict(mcolors.BASE_COLORS, **mcolors.CSS4_COLORS)

                # Sort colors by hue, saturation, value and name.
                by_hsv = sorted((tuple(mcolors.rgb_to_hsv(mcolors.to_rgba(color)[:3])), name)
                                                for name, color in colors.items())
                sorted_names = [name for hsv, name in by_hsv]

                step = int(156 / len(self._zslicetype2set.zslices()))

                count = 1
                for slice in self._zslicetype2set.zslices():
                        set = self._zslicetype2set[slice]
                        upper_membership_function = set.higher_membership_function()
                        lower_membership_function = set.lower_membership_function()

                        primary_domain = set.primary_domain()

                # x_array_res = len(primary_domain)

                        curr_ax.plot(primary_domain, upper_membership_function, color=sorted_names[count])
                        curr_ax.plot(primary_domain, lower_membership_function, color=sorted_names[count])

                        curr_ax.fill_between(primary_domain, upper_membership_function, lower_membership_function, color = sorted_names[count],alpha = 0.3)

                        count = count + step

                # # X axis ticks
                # x_ticks = np.linspace(0, self.divs-1 ,self.divs)
                # x_diff = (primary_domain[len(primary_domain)-1] - primary_domain[0]) / (self.divs-1)
                # x_label = ((x_ticks * x_diff)+primary_domain[0])
                # x_formatted_label =  ['%.2f' % elem for elem in x_label]
                # curr_ax.set_xticks(x_ticks * (x_array_res / (self.divs-1)))
                # curr_ax.set_xticklabels(x_formatted_label)

                curr_ax.set_xlabel('x')
                curr_ax.set_ylabel('u')

Methods

def plot(self, curr_ax)

Plots a general type-2 fuzzy set as an image

Arguments:

ax – the axis for this plot row – the row where this plot is placed col – the column where this row is placed

Expand source code

def plot(self, curr_ax):
        '''
        Plots a general type-2 fuzzy set as an image

        Arguments:
        ----------
        ax -- the axis for this plot
        row -- the row where this plot is placed
        col -- the column where this row is placed
        '''
        # and set them as current axis
        # curr_ax = ax[row,col]


        colors = dict(mcolors.BASE_COLORS, **mcolors.CSS4_COLORS)

        # Sort colors by hue, saturation, value and name.
        by_hsv = sorted((tuple(mcolors.rgb_to_hsv(mcolors.to_rgba(color)[:3])), name)
                                        for name, color in colors.items())
        sorted_names = [name for hsv, name in by_hsv]

        step = int(156 / len(self._zslicetype2set.zslices()))

        count = 1
        for slice in self._zslicetype2set.zslices():
                set = self._zslicetype2set[slice]
                upper_membership_function = set.higher_membership_function()
                lower_membership_function = set.lower_membership_function()

                primary_domain = set.primary_domain()

        # x_array_res = len(primary_domain)

                curr_ax.plot(primary_domain, upper_membership_function, color=sorted_names[count])
                curr_ax.plot(primary_domain, lower_membership_function, color=sorted_names[count])

                curr_ax.fill_between(primary_domain, upper_membership_function, lower_membership_function, color = sorted_names[count],alpha = 0.3)

                count = count + step

        # # X axis ticks
        # x_ticks = np.linspace(0, self.divs-1 ,self.divs)
        # x_diff = (primary_domain[len(primary_domain)-1] - primary_domain[0]) / (self.divs-1)
        # x_label = ((x_ticks * x_diff)+primary_domain[0])
        # x_formatted_label =  ['%.2f' % elem for elem in x_label]
        # curr_ax.set_xticks(x_ticks * (x_array_res / (self.divs-1)))
        # curr_ax.set_xticklabels(x_formatted_label)

        curr_ax.set_xlabel('x')
        curr_ax.set_ylabel('u')