From 53bdeac30b58d0f3cd43b620d26a1429eb191dec Mon Sep 17 00:00:00 2001
From: Danilo Ferreira de Lima <danilo.enoque.ferreira.de.lima@xfel.de>
Date: Mon, 9 Oct 2023 18:01:39 +0200
Subject: [PATCH] Hotfix.

---
 pes_to_spec/test/offline_analysis.py | 2 +-
 pes_to_spec/test/prepare_plots.py    | 7 ++++---
 2 files changed, 5 insertions(+), 4 deletions(-)

diff --git a/pes_to_spec/test/offline_analysis.py b/pes_to_spec/test/offline_analysis.py
index 90ce3ce..cdf54cb 100755
--- a/pes_to_spec/test/offline_analysis.py
+++ b/pes_to_spec/test/offline_analysis.py
@@ -400,7 +400,7 @@ def main():
 
     df = pd.DataFrame(dict(auto_corr_hr=model.auto_corr_hr,
                            auto_corr_virt=model.auto_corr_virt,
-                           energy=model.wiener_energy
+                           energy=model.wiener_energy,
                            fwhm_hr=model.fwhm_hr*np.ones_like(model.auto_corr_hr),
                            fwhm_virt=model.fwhm_virt*np.ones_like(model.auto_corr_virt),
                           )
diff --git a/pes_to_spec/test/prepare_plots.py b/pes_to_spec/test/prepare_plots.py
index f103df5..a0b4222 100755
--- a/pes_to_spec/test/prepare_plots.py
+++ b/pes_to_spec/test/prepare_plots.py
@@ -56,15 +56,16 @@ def plot_autocov(df: pd.DataFrame, filename: str):
     ax = fig.add_subplot(gs[0, 0])
     fwhm_hr = df.fwhm_hr[0]
     fwhm_virt = df.fwhm_virt[0]
-    ax.plot(df.energy, df.auto_corr_hr, c='b', lw=3, label="FEL + Grating spec. (FWHM={fwhm_hr:.2} eV)")
-    ax.plot(df.energy, df.auto_corr_virt, c='r', lw=3, label="FEL + Virtual spec. (FWHM={fwhm_cirt:.2} eV)")
+    ax.plot(df.energy, df.auto_corr_hr, c='b', lw=3, label=f"FEL + Grating spec. (FWHM={fwhm_hr:.2} eV)")
+    ax.plot(df.energy, df.auto_corr_virt, c='r', lw=3, label=f"FEL + Virtual spec. (FWHM={fwhm_virt:.2} eV)")
     ax.legend(frameon=False, borderaxespad=0, loc='upper left')
     ax.spines['top'].set_visible(False)
     ax.spines['right'].set_visible(False)
     ax.set(
            xlabel="Photon energy [eV]",
            ylabel="Auto-covariance [a.u.]",
-           ylim=(0, 1.0))
+           xlim=(-3.0, 3.0),
+           ylim=(None, 1.3))
     plt.tight_layout()
     fig.savefig(filename)
     plt.close(fig)
-- 
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