Update pages/Measurement_of_disperssion.py

pages/Measurement_of_disperssion.py

@@ -28,21 +28,35 @@ st.subheader("Relative Range")
 st.latex(r'''
     \text{Relative Range} = \frac{\text{Absolute Range}}{\text{Mean}} \times 100
 ''')
+import streamlit as st
+import numpy as np
+
 def absolute_range(list1):
-  max=np.max(list1)
-  min=np.min(list1)
-  return max-min
+    max_val = np.max(list1)
+    min_val = np.min(list1)
+    return max_val - min_val
+
 st.title("Calculate Range")
-num_input=st.text_input("Enter the values with seperated comma 1,2,3,4",key="num_input")
-value=num_input.split(",")
-list1=[]
-for i in value:
-    if i.isdigit():
-        list1.append(int(i))
-    else:
-        pass 
-result=absolute_range(list1)
-st.write("Absolute_Range",result)
+
+num_input = st.text_input("Enter the values separated by commas (e.g., 1,2,3,4)", key="num_input")
+
+# Initialize list1 to handle the case when num_input is empty
+list1 = []
+
+# Process the input only if it's not empty
+if num_input:
+    value = num_input.split(",")
+    for i in value:
+        if i.isdigit():
+            list1.append(int(i))
+
+# Check if list1 is not empty and calculate the range
+if list1:
+    result = absolute_range(list1)
+    st.write("Absolute Range:", result)
+else:
+    st.write("Please enter valid numbers.")
+
 st.markdown(''':orange[**Quartile Deviation**] is one of the measure to find the disperssion.In this type the data is divided into 4 equal parts.
 It will mostly focus on the central data.
 ''')