import sys
import matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np



def plot():
    color_step = 3
    fontsize_y = 8

    # Create a polar plot
    fig = plt.figure(figsize=(10, 10))
    ax = fig.add_subplot(111, projection="polar")

    ax.set_rscale("log")

    # KEY LINE!!!!!!!!!!!1
    # Crashes in windows if lower limit is higher than lower datapoint.
    ax.set_rlim(101, 20000)

    n_angles = 3
    n_freqs = 10

    _angles = np.linspace(0, 180, n_angles)
    Angles = _angles[:, np.newaxis] * np.ones(n_freqs)


    # KEY LINE
    # Lower r_axis value is 100, which is lower than low axis limit.
    freqs = np.linspace(100, 1000, n_freqs)
    Freqs = np.ones((n_angles, 1)) * freqs[:, np.newaxis].T
    print(freqs)

    Mags = np.random.rand(*Freqs.shape) * 100


    colormesh = ax.pcolormesh(
        # Angle / 57.29,
        Angles / 57.29,
        Freqs,
        Mags,
        shading="gouraud",
#        cmap=colormap,
 #       vmin=color_lo,
  #      vmax=color_hi,
    )

    plt.show()

if __name__ == "__main__":
    plot()