fix: Drop all null columns

app.py

@@ -61,7 +61,7 @@ def plot_anomalies(df_test_value, data, anomalies):
 
 def clean_data(df):
     # Drop rows with any null data
-    # df = df.dropna()
+    df = df.dropna()
 
     # Check if the DataFrame already contains the correct columns
     if "timestamp" in df.columns and "value" in df.columns:
@@ -99,6 +99,7 @@ def clean_data(df):
 
         # Drop rows where 'value' is NaN
         df = df.dropna(subset=['value'])
+        df = df.dropna(subset=['timestamp'])
 
         return df