python - numpy数组中的值表现异常

修正：谢谢你，y（t）而不是y（x）
我的代码应该模拟一个完美物体的轨迹，没有重力。
粘贴框：https://pastebin.com/XknNBiJ9

我认为问题出在哪里是我的函数evalPoly，因为这就是填充y值numpy数组的原因。最大值符合我的期望，但是它在数组中发生得太早了，其余的都是非常大的负数

def evalPoly(coefs, xs): #Y values messed up
    """
    @function: evalPoly
    @params:
        coefs;  The coefficients, an iteratable object (List, tuple, array)
        xs;     The x values, a numpy array
    @returns:   result; a numpy array
    @purpose:   Evaluate at xs a polynomial with coefficients in coefs.
    """
    result = 0.0
    for coef in coefs[-1::-1]:
        result = result * xs + coef
    return result

如果我的逻辑不正确，这是调用函数：

def trajectoryNoDrag(angleDeg,veloc,x0,y0): #Y values messed up
    """
    @function:  trajectoryNoDrag
    @params:
        angleDeg (float); the angle of launch
        veloc (float); the initial velocity, x and y components
        x0 (float); the initial X pos
        y0 (float); the initial Y pos
    @returns:
        times (np.array); the time intervals
        xs (np.array); the x values
        ys (np.array); the y values
    @purpose:   Simulate the trajectory of an arrow
    """
    coefsX, coefsY = arrowPolys(angleDeg, veloc, x0, y0) #Store the coefs
    duration = quadSolve(coefsY)[0]     #flight duration
    tinc = duration * NUM_PER_SEC       #the incerments
    times = np.linspace(0,duration,tinc)    #The times
    xs = np.linspace(x0, coefsX[1] * duration, tinc)    #The x values
    ys = evalPoly(coefsY, xs)

    return times, xs, ys

变量'coefs'的结构方式是二次公式的三个系数，形式为[c，b，a]。

请帮我弄清楚为什么y值如此之大，它们工作得很好，我不知道该怎么做才能破坏函数。 x的值和时间是正确的，它们y突然变得愚蠢。

最佳答案

它是时间的函数，而不是x的函数。 [y（t）不是y（x）]。换句话说，调用evalPoly(coefsY, times)而不是evalPoly(coefsY, xs)。

def trajectoryNoDrag(angleDeg,veloc,x0,y0): #Y values messed up
    """
   @function:  trajectoryNoDrag
   @params:
       angleDeg (float); the angle of launch
       veloc (float); the initial velocity, x and y components
       x0 (float); the initial X pos
       y0 (float); the initial Y pos
   @returns:
       times (np.array); the time intervals
       xs (np.array); the x values
       ys (np.array); the y values
   @purpose:   Simulate the trajectory of an arrow
   """
    coefsX, coefsY = arrowPolys(angleDeg, veloc, x0, y0) #Store the coefs
    duration = quadSolve(coefsY)[0]     #flight duration
    tinc = duration * NUM_PER_SEC       #the incerments
    times = np.linspace(0,duration,tinc)    #The times
    xs = np.linspace(x0, coefsX[1] * duration, tinc)    #The x values
    # your polynomial evaluation below is a function of time.
    ys = evalPoly(coefsY, times)

    return times, xs, ys
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