remove Grader column when adding Graded column

app.py

@@ -77,6 +77,7 @@ def add_graded_column(df):
     if "Grader" in df:
         df["Graded"] = df['Grader'].apply(lambda x: add_grading_status(x))
         df["Graded"] = pd.Categorical(df["Graded"], categories = ["Yes", "No"])  # sets sort order
+        df = df.drop(columns=['Grader'])
     else:
         st.warning('Input data must have a "Grader" column'
                  ' in order to create a "Graded" column', icon="⚠️")
@@ -98,7 +99,6 @@ def add_multiple_column(df):
 @st.cache_data
 def add_first_and_last_name_columns(df):
     if "Player Name" in df:
-        st.write("breaking up names")
         df['First Name'] = df['Player Name'].apply(lambda x: extract_surname(x)[0])
         df['Last Name'] = df['Player Name'].apply(lambda x: extract_surname(x)[-1])
     else:
@@ -126,10 +126,10 @@ if __name__ == "__main__":
         if st.checkbox('Create first name and last name columns'):
             df = add_first_and_last_name_columns(df)
 
-        if st.checkbox('Add graded column'):
+        if st.checkbox('Add "Graded" column and remove "Grader" column'):
             df = add_graded_column(df)
 
-        if st.checkbox('Create "multiple" column and remove quantity'):
+        if st.checkbox('Create "Multiple" column and remove "Quantity" column'):
             df = add_multiple_column(df)
         
         if st.checkbox("Change sort order"):