It usually helps when the iteration function provides some visual compression from domain to range. While
$$
x=ϕ(x)=-\frac{\cos x}{\sin x}=-\cot x
$$
will expand finite intervals to the full real line, due to the periodic poles of the cotangent function, the branches
$$
x=ϕ_k(x)=k\pi-\text{arccot}(x)
$$
of the inverse function will have the opposite effect, mapping the full real line to the finite interval $(\,(k-1)\pi,k\pi\,)$. Starting the iteration in the middle of that interval a test of the iteration can be implemented as
k = np.arange(-5,6,1)
x = (k-0.5)*np.pi
for j in range(10): print j,x; x = k*np.pi-np.arctan2(1,x)
with the results
0 [-17.27875959 -14.13716694 -10.99557429 -7.85398163 -4.71238898 -1.57079633 1.57079633 4.71238898 7.85398163 10.99557429 14.13716694]
1 [-18.79174588 -15.63734536 -12.47567444 -9.29813542 -6.07408066 -2.57468115 2.57468115 6.07408066 9.29813542 12.47567444 15.63734536]
2 [-18.79639121 -15.64410076 -12.48638564 -9.31764132 -6.12001504 -2.77112818 2.77112818 6.12001504 9.31764132 12.48638564 15.64410076]
3 [-18.79640433 -15.64412826 -12.48645396 -9.3178639 -6.12121835 -2.79527254 2.79527254 6.12121835 9.3178639 12.48645396 15.64412826]
4 [-18.79640437 -15.64412837 -12.48645439 -9.31786643 -6.12124963 -2.79803313 2.79803313 6.12124963 9.31786643 12.48645439 15.64412837]
5 [-18.79640437 -15.64412837 -12.4864544 -9.31786646 -6.12125045 -2.79834608 2.79834608 6.12125045 9.31786646 12.4864544 15.64412837]
6 [-18.79640437 -15.64412837 -12.4864544 -9.31786646 -6.12125047 -2.79838152 2.79838152 6.12125047 9.31786646 12.4864544 15.64412837]
7 [-18.79640437 -15.64412837 -12.4864544 -9.31786646 -6.12125047 -2.79838553 2.79838553 6.12125047 9.31786646 12.4864544 15.64412837]
8 [-18.79640437 -15.64412837 -12.4864544 -9.31786646 -6.12125047 -2.79838599 2.79838599 6.12125047 9.31786646 12.4864544 15.64412837]
9 [-18.79640437 -15.64412837 -12.4864544 -9.31786646 -6.12125047 -2.79838604 2.79838604 6.12125047 9.31786646 12.4864544 15.64412837]
showing rapid convergence.