diff --git a/Analysis/plot_traj.py b/Analysis/plot_traj.py
index c15da3e4ea9edb7a7a548e462c68d50f1376e435..3b7221ff9fd87b22ea14615baa2da1ecee710f34 100755
--- a/Analysis/plot_traj.py
+++ b/Analysis/plot_traj.py
@@ -185,7 +185,7 @@ if __name__ == "__main__":
         G_cyclo = report_graph.read_eddy_graph("edgelist_cyclo.csv",
                                                args.shp_tr_dir)
         G_anti = report_graph.read_eddy_graph("edgelist_anti.csv",
-                                               args.shp_tr_dir)
+                                              args.shp_tr_dir)
 
         if args.time:
             t1 = time.perf_counter()
diff --git a/Analysis/report_graph.py b/Analysis/report_graph.py
index 85ddb3dd0f08a5381fd253198c27e8e9af0b1d08..a803b09847750c5ae7649ca745eed7b56b857eb1 100755
--- a/Analysis/report_graph.py
+++ b/Analysis/report_graph.py
@@ -50,6 +50,8 @@ def read_eddy_graph(edgelist, shp_tr_dir = None, read_interp = True):
             # Read and set attributes of Visible eddies:
             extremum = path.join(shp_tr_dir, "extremum")
             set_attribute(G, extremum)
+    else:
+        print(edgelist, "not readable")
 
     return G
 
diff --git a/Convert_Matlab/Documentation_texfol/documentation.tex b/Convert_Matlab/Documentation_texfol/documentation.tex
index a097e3680e8b7e5139a2f1c6010e82b88ce4f839..7c03fbc43b4f0c022401680b0b125a4caab229bf 100644
--- a/Convert_Matlab/Documentation_texfol/documentation.tex
+++ b/Convert_Matlab/Documentation_texfol/documentation.tex
@@ -61,7 +61,7 @@ départ.
 \section{Identification of instantaneous eddies}
 \label{sec:identification}
 
-Instantaneous eddies with a given orientation are identified in two,
+Instantaneous eddies with a given orientation are identified in two
 equivalent ways: either by a couple date $d$ and eddy index $e$ at
 that date, or by a unique identifier $n$, which we can call a \og node
 index\fg{}.
@@ -76,7 +76,7 @@ So the first value of $k$ is 0.
 
 Let $e_{\mathrm{max}, o}(k)$ be the number of instantaneous eddies
 with orientation $o$ at date index $k$. $e_{\mathrm{max}, o}(k)$ is
-stored in Matlab variables Nanti et Ncyclo. We assume we know an
+stored in Matlab variables Nanti and Ncyclo. We assume we know an
 overestimate $E$ of $e_{\mathrm{max}, o}(k)$ for all $k$ and both
 orientations. That is, we guarantee that:
 \begin{equation*}
@@ -131,7 +131,7 @@ directories \verb+SHPC_(anti|cyclo)+. Cf. figure \ref{fig:convert_Matlab}.
   \includegraphics[width=\textwidth]{convert_Matlab}
   \caption{Correspondance between input Matlab files and files
     converted from them. Below the names of Matlab files are indicated
-    the names of the variables which were used inside those files, and
+    the names of the variables which are used inside those files, and
     the fields used inside those variables.}
   \label{fig:convert_Matlab}
 \end{figure}