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[英]plotting multiple plots generated inside a for loop on the same axes python
[英]Python plotting data generated from for loop inside for loop
我正在尝试将此代码从Matlab转换为Python:
x(1) = 0.1;
j = 0;
for z = 2.8:0.0011:3.9
j = j+1 %Gives progress of calculation
zz(j) = z;
for n = 1:200
x(n+1) = z*x(n)*(1 - x(n));
xn(n,j) = x(n);
end
end
h = plot(zz,xn(100:200,:),'r.');
set(h,'Markersize',3);
到目前为止,我已经得到了:
import numpy as np
import matplotlib.pyplot as plt
x = []
x.append(0.1)
xn = []
j = 0
z_range = np.arange(2.8, 3.9, 0.0011)
n_range = range(0,200,1)
plt.figure()
for zz in z_range:
j = j+1
print j # Gives progress of calculation
for n in n_range:
w = zz * x[n] * (1.0-x[n])
x.append(zz * x[n] * (1.0-x[n]))
xn.append(w)
x = np.array(x)
xn = np.array(xn)
xn_matrix = xn.reshape((z_range.size, len(n_range)))
xn_mat = xn_matrix.T
plt.figure()
#for i in z_range:
# plt.plot(z_range, xn_mat[0:i], 'r.')
plt.show()
我不确定这是否是将for循环从Matlab转换为Python的最佳方法,而且似乎在绘制结果时遇到问题。 x(n+1) = z*x(n)*(1 - x(n));
和xn(n,j) = x(n);
Matlab中的代码行困扰着我,所以有人可以解释一下是否有更有效的Python编写方法吗?
import numpy as np
import matplotlib.pyplot as plt
x = 0.1
# preallocate xn
xn = np.zeros([1001, 200])
# linspace is better for a non-integer step
zz = np.linspace(2.8, 3.9, 1001)
# use enumerate instead of counting iterations
for j,z in enumerate(zz):
print(j)
for n in range(200):
# use tuple unpacking so old values of x are unneeded
xn[j,n], x = x, z*x*(1 - x)
plt.plot(zz, xn[:, 100:], 'r.')
plt.show()
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