fix hide_streamlit_style

pages/15_📈_Table_Data_Cleaning.py

@@ -4,7 +4,7 @@ import io
 import base64
 
 
-st.set_page_config(layout="wide")
+# st.set_page_config(layout="wide")
 
 # Function for the CSV Visualization App
 def app():

pages/16_📈_ChatBot.py

@@ -0,0 +1,83 @@
+import streamlit as st
+import pandas as pd
+import io
+import base64
+
+
+# st.set_page_config(layout="wide")
+
+# Function for the CSV Visualization App
+def app():
+
+    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()
+app()
+
+