I have RA and DEC pointing data I would like to show on a polar plot (converting to rho and theta). The theta motion is very small, ~0.01 degrees. This is not easily seen on a full polar plot so I am trying to 'zoom in' to the region and show the change from data point to data point. When I adjust the thetamin/thetamax below to the limits I would prefer the wedge becomes a very thin line that losses all useful information. I would like a wedge shape like below but where the min/max theta angle shown is at least a degree. import numpy as np import matplotlib.pyplot as plt import matplotlib import pandas as pd print('matplotlib version : ', matplotlib.__version__)fig = plt.figure() ra = np.asarray([1.67484,1.67485,1.67485,1.67486,1.67486,1.67488,1.67487,1.67488,1.67487, 1.67487]) #radians dec = np.asarray([-0.92147,-0.92147,-0.92147,-0.92147,-0.92147,-0.92147,-0.92147, -0.92147,-0.92147, -0.92147]) #radians rho = np.sqrt(ra**2 + dec**2) # get rho from ra and dec theta = np.tan(dec / ra) # get theta from ra and dec fig = plt.figure() ax = fig.add_subplot(1,1,1,polar=True) ax.plot(theta, rho,'*-',color='y') ax.set_ylim(1.9114,1.9117) # limits of rho ax.set_thetamin(310) ax.set_thetamax(340) plt.show() I've been reading online and looking at the matplotlib polar plot documentation but the examples I've found don't go beyond what I've implemented so far.. Continue reading...
