def plot(dirname_sets, cs, labels, ax):
ejm_rcparams.prettify_axes(ax)
for dirnames, c, label in zip(dirname_sets, cs, labels):
noise_0_tots, Ds, Ds_err = utils.noise_0_tot_Ds_scalar(dirnames)
i_sort = np.argsort(noise_0_tots)
noise_0_tots, Ds, Ds_err = (noise_0_tots[i_sort],
Ds[i_sort], Ds_err[i_sort])
ax.errorbar(noise_0_tots, Ds, yerr=Ds_err, label=label, c=c)
ax.set_xscale('log')
ax.set_yscale('log')
ax.set_xlim(1e-2, 1e1)
ax.set_ylim(1.0, 1e5)
ax.set_xlabel(r'$(\alpha_0, \mathrm{D}_{r,0}) / \si{\per\s}$', fontsize=35)
ax.set_ylabel(r'$\mathrm{D} / (\si{\um^2\per\s})$', fontsize=35)
ax.tick_params(axis='both', labelsize=26, pad=10.0)
fig = plt.figure(figsize=(12, 12 * ejm_rcparams.golden_ratio))
ax = fig.add_subplot(111)
ejm_rcparams.prettify_axes(ax)
dirnames_1D_p = glob(
"/Users/ewj/Desktop/porous/ahoy_data/Dr_scan_uniform/ahoy_1D,dt=0.01,seed=1,n=5000,align=(0),origin=(1),v=20,p=*,obs=NoObs,c=NoC"
)
dirnames_2D_p = glob(
"/Users/ewj/Desktop/porous/ahoy_data/Dr_scan_uniform/ahoy_2D,dt=0.01,seed=1,n=5000,align=(0,0),origin=(1,1),v=20,p=*,obs=NoObs,c=NoC"
)
dirnames_2D_Dr = glob(
"/Users/ewj/Desktop/porous/ahoy_data/Dr_scan_uniform/ahoy_2D,dt=0.01,seed=1,n=5000,align=(0,0),origin=(1,1),v=20,Dr=*,obs=NoObs,c=NoC"
)
noise_0s, Ds, Ds_err = utils.noise_0_tot_Ds_scalar(dirnames_1D_p)
i_sort = np.argsort(noise_0s)
noise_0s, Ds, Ds_err = noise_0s[i_sort], Ds[i_sort], Ds_err[i_sort]
ax.errorbar(noise_0s, Ds, yerr=Ds_err, label="1D, Tumbling")
noise_0s, Ds, Ds_err = utils.noise_0_tot_Ds_scalar(dirnames_2D_p)
i_sort = np.argsort(noise_0s)
noise_0s, Ds, Ds_err = noise_0s[i_sort], Ds[i_sort], Ds_err[i_sort]
ax.errorbar(noise_0s, Ds, yerr=Ds_err, label="2D, Tumbling")
noise_0s, Ds, Ds_err = utils.noise_0_tot_Ds_scalar(dirnames_2D_Dr)
i_sort = np.argsort(noise_0s)
noise_0s, Ds, Ds_err = noise_0s[i_sort], Ds[i_sort], Ds_err[i_sort]
ax.errorbar(noise_0s, Ds, yerr=Ds_err, label="2D, Diffusing")
noise_0_ths = np.logspace(-3, 2, 1000)
