我在python3中有一个自定义函数,如下所示:
myFunction(A, x)
"""
Args:
A (list)
x (float)
Returns:
Y: numpy array of floats [y1,y2,...,y(len(A))]
"""
return Y
我想做的是为某个选定的常量列表a绘制一张图,其中X轴是输入参数X(范围在一些值之间,比如0,10(,Y轴是输出数组中的浮点值(因此多条曲线,颜色不同(我想做这样的事将matplotlib.pyplot导入为plt
A = [5,10,15,20]
x = numpy.linspace(0,10,1000) #1000 numbers between 0 and 10
plt.plot(x,myFunction(A, x))
但我收到错误
TypeError: only size-1 arrays can be converted to Python scalars
感谢
看起来我最终找到了
x = np.linspace(0,100,1001)
resultSet = [] #initialize list to store results
for i in range(0, len(x)):
resultSet.append(list(myFunction(A, x)))
resCount = len(resultSet[0])
labelList = [] #initialize list for legend names
for i in range(0,resCount):
labelList.append("Line "+str(i+1))
lineObjects = plt.plot(list(x),resultSet)
plt.xlabel("x label")
plt.ylabel("y label")
plt.legend(lineObjects,labelList)
plt.show()