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@Peter9192
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Started running the example notebook and left some notes. Work in progress, I'm about halfway.

In the process I wrote a function that can easily create time handling plots for various precursor/target periods:

image

@semvijverberg
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Really nice graphic :)

@jannesvaningen
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Awesome graph! So you wrote a function that can create these type of plots?

@Peter9192
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Peter9192 commented Apr 7, 2022

So you wrote a function that can create these type of plots?

Yes, I'll copy the code below for reference. I guess it might still need a few tweaks, but you get the idea.

import matplotlib.pyplot as plt
def plot_timehandling(prec_start=-1, prec_end=6, target_start=6, target_end=9):
    """Plot time handling given a target and precursor period.
    
    TODO: handle zero-crossing.
    """ 
    prec_start -= 1
    prec_end -= 1
    target_start -= 1
    target_end -= 1
    with plt.xkcd():
        fig = plt.figure()
        ax = fig.add_subplot(111, projection='polar')

        ax.set_theta_direction(-1)
        ax.set_theta_zero_location('N')
        ax.grid(False)
        ax.set_axisbelow(False)

        ax.set_xticks(np.linspace(0, 2*np.pi*11/12, 12))
        ax.set_xticklabels('JFMAMJJASOND')
        ax.set_ylim(0, 1)
        ax.set_yticks([0, 0.45, 0.85])
        ax.set_yticklabels(['1979', '2002', '2018'])

        r = np.linspace(0, 12*np.pi, 1000)
        th = np.linspace(0, 1, 1000)
        ax.plot(r, th, color='lightgrey')

        th = np.ones(100)
        precursor = np.linspace(prec_start/12, prec_end/12, 100)*np.pi*2
        ax.fill_between(precursor, th, 0, color='lightblue', label='precursor')

        target = np.linspace(target_start/12, target_end/12, 100)*np.pi*2
        ax.fill_between(target, th, 0, color='lightgreen', label='target')

        ax.legend(bbox_to_anchor=(1, 1.07))

        return fig, ax
    
fig, ax = plot_timehandling(1, 6, 6, 9)

Base automatically changed from relative-imports to master April 7, 2022 12:28
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4 participants