update nan

app.py

@@ -256,7 +256,7 @@ def regex_table(dataframe, regex, filter_button, style=True):
     if update_scores:
         data["Score"] = (data["Chat"] + data["Chat Hard"] + data["Safety"] + data["Reasoning"]) / 4
         # if "Prior Sets (0.5 weight)" in data.columns:
-        # data["Prior Sets (0.5 weight)"] = np.NaN
+        # data["Prior Sets (0.5 weight)"] = np.nan
         # sort array by Score column
         data = data.sort_values(by='Score', ascending=False)
 
@@ -273,8 +273,8 @@ def regex_table(dataframe, regex, filter_button, style=True):
     # round all others to 1 decimal
     for col in data.columns:
         if col not in ["", "Model", "Model Type", "Score", "Average"]:
-            # replace any data[col].values == '' with np.NaN
-            data[col] = data[col].replace('', np.NaN)
+            # replace any data[col].values == '' with np.nan
+            data[col] = data[col].replace('', np.nan)
             data[col] = np.round(np.array(data[col].values).astype(float), 1)
     if style:
         # apply color