Upload Diploma_result_analysis.py

Diploma_result_analysis.py

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+import streamlit as st
+import pandas as pd
+
+# Function to find and set the correct header
+def find_and_set_header(df):
+    for i in range(5):
+        if 'Status' in df.iloc[i].values or 'RESULT' in df.iloc[i].values:
+            df.columns = df.iloc[i]
+            df = df.drop(index=list(range(i+1)))
+            df.reset_index(drop=True, inplace=True)
+            return df
+    st.error("The uploaded file does not contain 'Status' or 'RESULT' column in the first five rows.")
+    return None
+
+# Function to analyze the status column
+def analyze_status(df):
+    if 'Status' in df.columns:
+        status_counts = df['Status'].value_counts()
+    elif 'RESULT' in df.columns:
+        status_counts = df['RESULT'].value_counts()
+    else:
+        return None
+    return status_counts
+
+# Function to handle multiple sheets in Excel file
+def analyze_excel(file):
+    xls = pd.ExcelFile(file)
+    results = {}
+    for sheet_name in xls.sheet_names:
+        df = pd.read_excel(file, sheet_name=sheet_name)
+        df = find_and_set_header(df)
+        if df is not None:
+            status_counts = analyze_status(df)
+            if status_counts is not None:
+                results[sheet_name] = status_counts
+    return results
+
+# Streamlit app
+def main():
+    st.title("Dimploma Students Result Analysis")
+    st.write("Upload a CSV or Excel file to analyze student status.")
+
+    uploaded_file = st.file_uploader("Choose a CSV or Excel file", type=["csv", "xlsx"])
+
+    if uploaded_file is not None:
+        try:
+            if uploaded_file.name.endswith('.csv'):
+                df = pd.read_csv(uploaded_file)
+                df = find_and_set_header(df)
+                if df is not None:
+                    st.write("File uploaded successfully!")
+                    st.write("Here's a preview of the data:")
+                    st.dataframe(df.head())
+
+                    status_counts = analyze_status(df)
+                    if status_counts is not None:
+                        st.write("### Analysis of Student Status")
+                        st.write(status_counts)
+                        st.bar_chart(status_counts)
+
+            elif uploaded_file.name.endswith('.xlsx'):
+                results = analyze_excel(uploaded_file)
+                if results:
+                    for sheet, status_counts in results.items():
+                        st.write(f"### Analysis of Student Status for sheet: {sheet}")
+                        st.write(status_counts)
+                        st.bar_chart(status_counts)
+                else:
+                    st.error("No valid 'Status' or 'RESULT' columns found in any sheets.")
+
+            else:
+                st.error("Unsupported file format.")
+
+        except Exception as e:
+            st.error(f"An error occurred: {e}")
+
+if __name__ == "__main__":
+    main()