figure 9 quadratic scatter plots
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@@ -58,11 +58,12 @@ def plot_si_diags(ax, s, data, alphax, alphay, xthresh, ythresh, cell_name):
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l = linregress(six, siy)
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x = np.linspace(0, 10, 10)
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ax.set_visible(True)
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ax.set_aspect('equal')
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ax.set_title(f'$c$={100*alphay:g}\\,\\%', fontsize='medium')
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ax.plot(x, x, **s.lsLine)
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ax.plot(x, l.slope*x + l.intercept, **s.lsGrid)
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ax.axhline(ythresh, **s.lsLine)
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ax.axvline(xthresh, 0, 0.5, **s.lsLine)
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ax.axvline(xthresh, 0, 0.65, **s.lsLine)
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if alphax == 0:
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mask = datax['triangle'] > 0.5
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ax.plot(six[mask], siy[mask], zorder=30, label='strong', **s.psA1m)
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@@ -137,8 +138,8 @@ if __name__ == '__main__':
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xthresh = 1.2
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ythresh = 1.8
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s = plot_style()
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fig, axs = plt.subplots(3, 4, cmsize=(s.plot_width, 0.6*s.plot_width),
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height_ratios=[3, 3, 0, 2])
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fig, axs = plt.subplots(3, 4, cmsize=(s.plot_width, 0.62*s.plot_width),
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height_ratios=[3, 3, 0, 3])
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fig.subplots_adjust(leftm=7, rightm=9, topm=2, bottomm=4,
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wspace=1, hspace=0.6)
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for ax in axs.flat:
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