Question

我正在学习python，下面知道我在做什么是正确的，还是有更好的书写方式？

class FUNC:
    def __init__(self,a,b):
        self.a = a
        self.b = b
    def Add(self):
        x = self.a + self.b
        return x
    def Sub(self):
        y = self.a - self.b
        return y

class TASKS:
    def tsk1(self):           
        PrintObj1 = FUNC(10,20)
        print(PrintObj1.Add())
    def tsk2(self):
        PrintObj2 = FUNC(100,50)
        print(PrintObj2.Sub())

class RUNTASK:
    Obj = TASKS()
    Obj.tsk1()
    Obj.tsk2()

Answer 1

是的，您的代码看起来正确，但是您也可以使用仅包含静态方法的TASKS类。静态方法是属于类而不是类实例的方法，因此您无需创建类的实例即可调用静态方法（在这种情况下很方便）：

class FUNC:

    def __init__(self,a,b):
        self.a = a
        self.b = b
    def Add(self):
        x = self.a + self.b
        return x
    def Sub(self):
        y = self.a - self.b
        return y


class TASKS:

    @staticmethod
    def tsk1():
        PrintObj1 = FUNC(10,20)
        print(PrintObj1.Add())

    @staticmethod
    def tsk2():
        PrintObj2 = FUNC(100,50)
        print(PrintObj2.Sub())

TASKS.tsk1()
TASKS.tsk2()

Answer 2

您在这里要做的是在类的方法内创建另一个类的对象。如果您想证明(quantiles, values), (slope, intercept, r) = probplot(datafl.data[varcol], dist='norm') fig = plt.figure(figsize=(5,4)) ax = fig.add_subplot(111) ax.plot(values, quantiles, 'k.') ax.set_xlabel('AuFA (opt)') ax.set_xscale('log') ax.set_xlim((lower, upper)) ax.xaxis.set_major_formatter(FormatStrFormatter('%1.4f')) subs = [1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0]类完全属于plt.grid(b=True, which='minor', color='lightgray', linestyle='-') plt.grid(b=True, which='major', color='lightgray', linestyle='-') ax.set_ylabel('Cumulative Probability') ticks_perc=[0.01, 0.1, 1, 5, 10, 20, 50, 80, 80, 90, 95, 99, 99.9, 99.99] ticks_quan=[scipy.stats.norm.ppf(i/100.) for i in ticks_perc] plt.yticks(ticks_quan,ticks_perc) print(ticks_quan) print(ticks_perc) if (threshflname is not None) and (domain is not None): with open(threshflname, 'r') as infl: for line in infl: if line.startswith(domain): numthresholds = int(line.split(' ')[2]) lower_upper = next(infl) lower = float(lower_upper.split(' ')[1]) upper = float(lower_upper.split(' ')[3]) thresholds = next(infl) thresholds = [float(thresh) for thresh in thresholds.split(' ')[1].split(',')] break for threshold in thresholds: #Interpolate the cumulative probability cumprob = np.interp(threshold, values, quantiles) #ax.plot([threshold, threshold, ax.get_xlim()[0]], [ax.get_ylim()[0], cumprob, cumprob], color=colour_thresholds1, lw=0.8) ax.plot([threshold, threshold, ax.get_xlim()[0]], [ax.get_ylim()[0], cumprob, cumprob], color=colour_thresholds1, lw=0.8) cumprob = np.interp(lower, values, quantiles) ax.plot([ax.get_xlim()[0], lower, lower], [cumprob, cumprob, ax.get_ylim()[0]], color=colour_thresholds2, ls='--', lw=0.8) cumprob = np.interp(upper, values, quantiles) ax.plot([ax.get_xlim()[0], upper, upper], [cumprob, cumprob, ax.get_ylim()[0]], color=colour_thresholds2, ls='--', lw=0.8) plt.title('{} Indicator Thresholds'.format(domain.upper()))，则可以这样做：

FUNC

这称为内部或嵌套类。在Python中不是特别常见。另外，我已经展示了两种访问内部类的方法，一种是使用实例方法，另一种是使用@ArtsiomPraneuski建议的静态方法（在这里似乎更合适）。

在python中创建另一个类中的类的正确方法？

2 个答案: