Plot average bias correction over 1/n

plot_results.py

@@ -382,9 +382,8 @@ def plot_average_bias_correction(file_indexes=[0], i_channel=None,
     ax.yaxis.set_major_formatter(mtick.FormatStrFormatter("%.2e"))
     ax.tick_params(axis="x", which="minor", bottom=False)
     plt.title("Average bias correction over all $\\nu$ and $k$")
-    plt.loglog(n_worm_samples[file_indexes], average_corrections, "x-")
-    plt.xticks(n_worm_samples[file_indexes], [str(n) for n in n_worm_samples])
-    plt.xlabel("n_worm_samples")
+    plt.plot(1 / n_worm_samples[file_indexes], average_corrections, "x-")
+    plt.xlabel("1 / n_worm_samples")
     plt.ylabel(r"$|f(\hat{x})-\hat{y}_{\mathrm{jackknife}}|$", fontsize=12)
     plt.grid(which="major")
     if fig_name is None: