Fix portfolio and benchmark length matching

openbb_terminal/portfolio/allocation_model.py

@@ -77,6 +77,16 @@ def get_assets_allocation(
     benchmark_assets_allocation = stockanalysis_model.get_etf_holdings(
         benchmark_ticker
     ).reset_index()
+    if benchmark_assets_allocation.empty:  # if not an etf or no data is available
+        benchmark_assets_allocation = pd.DataFrame(
+            data={
+                "symbol": [benchmark_ticker],
+                "Name": [benchmark_ticker],
+                "% Of Etf": ["100%"],
+                "Shares": [1],
+            },
+            index=[0],
+        )
     benchmark_assets_allocation.rename(
         columns={"symbol": "Symbol", "% Of Etf": "Benchmark"}, inplace=True
     )

openbb_terminal/portfolio/portfolio_helper.py

@@ -175,12 +175,20 @@ def make_equal_length(df1: pd.DataFrame, df2: pd.DataFrame):
          Both DataFrames returned
     """
     # Match the DataFrames so they share a similar length
-    if len(df1.index) > len(df2.index):
-        df1 = df1.loc[df2.index]
-    elif len(df2.index) > len(df1.index):
-        df2 = df2.loc[df1.index]
+    if isinstance(df1, pd.Series):
+        df1 = df1.to_frame()
+    if isinstance(df2, pd.Series):
+        df2 = df2.to_frame()
+    df2.columns = [str(i) + "2" for i in df2.columns]
+    df_merged = df1.join(df2, how="outer")
+    df_merged = df_merged.fillna(0)
 
-    return df1, df2
+    df1 = df_merged[df1.columns]
+    df2 = df_merged[df2.columns]
+
+    df2.columns = [i[:-1] for i in df2.columns]
+
+    return df1.iloc[:, 0], df2.iloc[:, 0]
 
 
 def get_region_from_country(country: str) -> str: