根据您的评论更新：

import matplotlib.pyplot as plt

# Define the first_derivative and iterations data
first_derivative = [1 + 1j, 2 + 2j, 3 + 3j, 4 + 4j, 5 + 5j]
iterations = [0, 1, 2, 3, 4]

# Split the first_derivative into real and imaginary parts
x = [val.real for val in first_derivative]
y = [val.imag for val in first_derivative]

# Create a figure and axis for the 3D plot
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')

# Plot the data as a scatter plot
ax.scatter(x, y, iterations, c='r', marker='o')

# Set the x, y, and z labels
ax.set_xlabel('Real Part')
ax.set_ylabel('Imaginary Part')
ax.set_zlabel('Number of Iterations')

# Show the plot
plt.show()

旧代码

使用matplotlib库：

import matplotlib.pyplot as plt

# Example values of first derivative and the number of iterations
first_derivative = [1 + 1j, 2 + 2j, 3 + 3j, 4 + 4j, 5 + 5j]
iterations = [0, 1, 2, 3, 4]

# Plot the values of first derivative vs number of iterations
plt.plot(iterations, first_derivative, 'ro')
plt.xlabel('Number of iterations')
plt.ylabel('First derivative')
plt.title('First derivative vs Number of iterations')
plt.show()

传递给plot函数的ro参数是一个格式字符串，用于指定要绘制的数据点的格式。该格式字符串由两个字符组成：
r：将数据点的颜色指定为red。
o：将数据点的形状指定为circles。
可以使用不同的格式字符串为数据点指定不同的颜色和形状。例如，bx将指定blue crosses，g^将指定green triangles，依此类推。