fix hide_streamlit_style

pages/15_📈_Table_Data_Cleaning.py

@@ -9,15 +9,18 @@ st.set_page_config(layout="wide")
 # Function for the CSV Visualization App
 def app():
 
-    st.markdown(f"<style>{hide_streamlit_style}</style>\n Data Cleaning", unsafe_allow_html=True)
+    hide_streamlit_style = """
+            <style>
+            #MainMenu {visibility: hidden;}
+            footer {visibility: hidden;}
+            </style>
+            """
+    st.markdown(hide_streamlit_style, unsafe_allow_html=True)
 
-
-    st.title('CSV Data Cleaning')
+    st.title("CSV Data Cleaning Tool")
 
     st.markdown("Upload one or multiple CSV files to preprocess and clean your files quickly and stress free.")
-    
-    # File uploader allows user to add their own CSV
-    
+
     uploaded_files = st.file_uploader("Choose CSV files", type="csv", accept_multiple_files=True)
 
     dataframes = []
@@ -27,45 +30,45 @@ def app():
             file.seek(0)
             df = pd.read_csv(file)
             dataframes.append(df)
-    
+
         if len(dataframes) > 1:
             merge = st.checkbox("Merge uploaded CSV files")
-    
+
             if merge:
                 # Merge options
                 keep_first_header_only = st.selectbox("Keep only the header (first row) of the first file", ["Yes", "No"])
                 remove_duplicate_rows = st.selectbox("Remove duplicate rows", ["No", "Yes"])
                 remove_empty_rows = st.selectbox("Remove empty rows", ["Yes", "No"])
                 end_line = st.selectbox("End line", ["\\n", "\\r\\n"])
-    
+
                 try:
                     if keep_first_header_only == "Yes":
                         for i, df in enumerate(dataframes[1:]):
                             df.columns = dataframes[0].columns.intersection(df.columns)
                             dataframes[i+1] = df
-    
+
                     merged_df = pd.concat(dataframes, ignore_index=True, join='outer')
-    
+
                     if remove_duplicate_rows == "Yes":
                         merged_df.drop_duplicates(inplace=True)
-    
+
                     if remove_empty_rows == "Yes":
                         merged_df.dropna(how="all", inplace=True)
-    
+
                     dataframes = [merged_df]
-    
+
                 except ValueError as e:
                     st.error("Please make sure columns match in all files. If you don't want them to match, select 'No' in the first option.")
                     st.stop()
-    
+
         # Show or hide DataFrames
         show_dataframes = st.checkbox("Show DataFrames", value=True)
-    
+
         if show_dataframes:
             for i, df in enumerate(dataframes):
                 st.write(f"DataFrame {i + 1}")
                 st.dataframe(df)
-    
+
         if st.button("Download cleaned data"):
             for i, df in enumerate(dataframes):
                 csv = df.to_csv(index=False)