Add commented code for CSV file cleaning

pages/14_📈_Table_Data_Visualization.py

@@ -28,4 +28,85 @@ def app():
         # Show the plot
         st.pyplot(fig)
 
-app()
+app()
+
+# import io
+# import base64
+
+# st.set_page_config(page_title="Data Cleaning Tool")
+
+# 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 Tool")
+
+# st.markdown("Upload one or multiple CSV files to preprocess and clean your files quickly and stress free.")
+
+# uploaded_files = st.file_uploader("Choose CSV files", type="csv", accept_multiple_files=True)
+
+# dataframes = []
+
+# if uploaded_files:
+#     for file in uploaded_files:
+#         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)
+#             b64 = base64.b64encode(csv.encode()).decode()
+#             href = f'<a href="data:file/csv;base64,{b64}" download="cleaned_data_{i + 1}.csv">Download cleaned_data_{i + 1}.csv</a>'
+#             st.markdown(href, unsafe_allow_html=True)
+# else:
+#     st.warning("Please upload CSV file(s).")
+#     st.stop()
+
+# st.markdown("")
+# st.markdown("---")
+# st.markdown("")
+# st.markdown("<p style='text-align: center'><a href='https://github.com/Kaludii'>Github</a> | <a href='https://huggingface.co/Kaludi'>HuggingFace</a></p>", unsafe_allow_html=True)
+