removing depricated functions (#118)

jmetal/lab/experiment.py

@@ -464,8 +464,8 @@ def __averages_to_latex(
 
     # Write data lines
     for i in range(num_rows):
-        central_values = [v for v in central_tendency.ix[i]]
-        dispersion_values = [v for v in dispersion.ix[i]]
+        central_values = [v for v in central_tendency.iloc[i]]
+        dispersion_values = [v for v in dispersion.iloc[i]]
 
         # Sort mean/median values (the lower the better if minimization)
         # Note that mean/median values could be the same: in that case, sort by Std/IQR (the lower the better)
@@ -549,7 +549,7 @@ def __wilcoxon_to_latex(df: pd.DataFrame, caption: str, label: str, minimization
 
     # Write data lines
     for i in range(num_rows):
-        values = [val.replace("-", "\\text{--}\ ").replace("o", symbolo).replace("+", symbolplus) for val in df.ix[i]]
+        values = [val.replace("-", "\\text{--}\ ").replace("o", symbolo).replace("+", symbolplus) for val in df.iloc[i]]
         output.write(
             "      \\textbf{{{0}}} & ${1}$ \\\\\n".format(df.index[i], " $ & $ ".join([str(val) for val in values]))
         )