data.py 文件源码

def get_canva_genome(self) :
        # plot_canva
        figure, ax = plt.subplots()
        addValue = 0
        xticks_positions = []
        chronames = []
        for chromosome, dataPosi in sorted(self.data.iteritems(), key = lambda x : (len(x[0]), x[0])) :
            chronames.append(chromosome)
            x, y = [], []
            maxposi = 0
            for posi, snp in sorted(dataPosi.iteritems(), key = lambda x : x[0]) :
                genome_posi = posi + addValue
                snp.set_genome_posi(genome_posi)
                x.append(genome_posi)
                y.append(snp.abhet)
                maxposi = posi if posi > maxposi else posi

            ax.plot(x, y, 'o', markersize=4)
            xticks_positions.append((addValue * 2 + maxposi) / 2.0)
            addValue += maxposi

        ax.set_xlim([0, addValue])
        ax.set_xticks(xticks_positions)
        ax.set_xticklabels(chronames)
        canva = MplCanva(self, None, figure, ax)
        canva.mpl_connect('button_press_event', self.click_pressed_genome)
        self.adjust_layout()
        return canva