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Commit ebcf17a0 authored by Philipp Arras's avatar Philipp Arras
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9/n

parent d25aa77f
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1 merge request!2Draft: Nifty5 to nifty7
Pipeline #107688 passed
...@@ -92,7 +92,6 @@ def plot_prior_samples_2d(n_samps, signal, R, correlated_field, pspec, ...@@ -92,7 +92,6 @@ def plot_prior_samples_2d(n_samps, signal, R, correlated_field, pspec,
ss = ift.from_random(signal.domain) ss = ift.from_random(signal.domain)
samples.append(ss) samples.append(ss)
foo = pspec.force(ss).val foo = pspec.force(ss).val
print(pspecmin, pspecmax)
pspecmin = min([min(foo), pspecmin]) pspecmin = min([min(foo), pspecmin])
pspecmax = max([max(foo), pspecmin]) pspecmax = max([max(foo), pspecmin])
pspecmin /= 10 pspecmin /= 10
...@@ -117,7 +116,7 @@ def plot_prior_samples_2d(n_samps, signal, R, correlated_field, pspec, ...@@ -117,7 +116,7 @@ def plot_prior_samples_2d(n_samps, signal, R, correlated_field, pspec,
raise ValueError('likelihood type not implemented') raise ValueError('likelihood type not implemented')
data = R.adjoint(data + 0.) data = R.adjoint(data + 0.)
ax[ii, 0].plot(pspec.target[0].k_lengths, pspec.force(sample)) ax[ii, 0].plot(pspec.target[0].k_lengths, pspec.force(sample).val)
ax[ii, 0].set_yscale('log') ax[ii, 0].set_yscale('log')
ax[ii, 0].set_xscale('log') ax[ii, 0].set_xscale('log')
ax[ii, 0].set_ylim(pspecmin, pspecmax) ax[ii, 0].set_ylim(pspecmin, pspecmax)
......
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