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Update app.py
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app.py
CHANGED
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@@ -38,76 +38,118 @@ if df_cleaned is not None:
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st.header(f"Admission Details for {district}")
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st.write(filtered_summary)
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# Plotting the data
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st.header("Admission Summary by District")
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fig, axes = plt.subplots(10, 1, figsize=(15, 50), sharex=True)
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# Graph 1: Minorities - Sanctioned vs Admitted
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# Graph 2: Non-Minorities - Sanctioned vs Admitted
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# Graph 3: Grand Total - Sanctioned vs Admitted
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# Graph 4: Minorities - Vacancies
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# Graph 5: Non-Minorities - Vacancies
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# Graph 6: Grand Total - Vacancies
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# Graph 7: Minorities Admission Rate
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# Graph 8: Non-Minorities Admission Rate
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# Graph 9: Total Sanctioned Seats (Minorities + Non-Minorities)
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total_sanctioned = summary['Minorities Sanctioned'] + summary['Non-Minorities Sanctioned']
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# Graph 10: Total Admitted Students (Minorities + Non-Minorities)
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total_admitted = summary['Minorities Admitted'] + summary['Non-Minorities Admitted']
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plt.xticks(rotation=90)
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st.pyplot(fig)
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st.header(f"Admission Details for {district}")
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st.write(filtered_summary)
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# Graph 1: Minorities - Sanctioned vs Admitted
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st.header('Minorities: Sanctioned vs Admitted')
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fig, ax = plt.subplots()
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ax.bar(summary['District'], summary['Minorities Sanctioned'], label='Sanctioned', color='blue')
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ax.bar(summary['District'], summary['Minorities Admitted'], label='Admitted', color='green')
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ax.set_ylabel('Number of Seats')
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ax.set_xlabel('District')
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ax.set_title('Minorities: Sanctioned vs Admitted')
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ax.legend()
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plt.xticks(rotation=90)
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st.pyplot(fig)
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# Graph 2: Non-Minorities - Sanctioned vs Admitted
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st.header('Non-Minorities: Sanctioned vs Admitted')
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fig, ax = plt.subplots()
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ax.bar(summary['District'], summary['Non-Minorities Sanctioned'], label='Sanctioned', color='blue')
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ax.bar(summary['District'], summary['Non-Minorities Admitted'], label='Admitted', color='green')
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ax.set_ylabel('Number of Seats')
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ax.set_xlabel('District')
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ax.set_title('Non-Minorities: Sanctioned vs Admitted')
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ax.legend()
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plt.xticks(rotation=90)
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st.pyplot(fig)
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# Graph 3: Grand Total - Sanctioned vs Admitted
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st.header('Grand Total: Sanctioned vs Admitted')
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fig, ax = plt.subplots()
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ax.bar(summary['District'], summary['Grand Total Sanctioned'], label='Sanctioned', color='blue')
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ax.bar(summary['District'], summary['Grand Total Admitted'], label='Admitted', color='green')
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ax.set_ylabel('Number of Seats')
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ax.set_xlabel('District')
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ax.set_title('Grand Total: Sanctioned vs Admitted')
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ax.legend()
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plt.xticks(rotation=90)
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st.pyplot(fig)
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# Graph 4: Minorities - Vacancies
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st.header('Minorities: Vacancies')
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fig, ax = plt.subplots()
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ax.bar(summary['District'], summary['Minorities Vacancies'], label='Vacancies', color='red')
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ax.set_ylabel('Number of Seats')
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ax.set_xlabel('District')
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ax.set_title('Minorities: Vacancies')
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ax.legend()
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plt.xticks(rotation=90)
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st.pyplot(fig)
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# Graph 5: Non-Minorities - Vacancies
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st.header('Non-Minorities: Vacancies')
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fig, ax = plt.subplots()
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ax.bar(summary['District'], summary['Non-Minorities Vacancies'], label='Vacancies', color='red')
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ax.set_ylabel('Number of Seats')
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ax.set_xlabel('District')
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ax.set_title('Non-Minorities: Vacancies')
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ax.legend()
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plt.xticks(rotation=90)
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st.pyplot(fig)
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# Graph 6: Grand Total - Vacancies
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st.header('Grand Total: Vacancies')
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fig, ax = plt.subplots()
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ax.bar(summary['District'], summary['Grand Total Vacancies'], label='Vacancies', color='red')
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ax.set_ylabel('Number of Seats')
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ax.set_xlabel('District')
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ax.set_title('Grand Total: Vacancies')
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ax.legend()
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plt.xticks(rotation=90)
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st.pyplot(fig)
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# Graph 7: Minorities Admission Rate
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st.header('Minorities Admission Rate')
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fig, ax = plt.subplots()
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ax.bar(summary['District'], summary['Minorities Admission Rate'], label='Admission Rate', color='purple')
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ax.set_ylabel('Admission Rate')
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ax.set_xlabel('District')
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ax.set_title('Minorities Admission Rate')
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ax.legend()
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plt.xticks(rotation=90)
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st.pyplot(fig)
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# Graph 8: Non-Minorities Admission Rate
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st.header('Non-Minorities Admission Rate')
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fig, ax = plt.subplots()
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ax.bar(summary['District'], summary['Non-Minorities Admission Rate'], label='Admission Rate', color='orange')
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ax.set_ylabel('Admission Rate')
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ax.set_xlabel('District')
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ax.set_title('Non-Minorities Admission Rate')
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ax.legend()
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plt.xticks(rotation=90)
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st.pyplot(fig)
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# Graph 9: Total Sanctioned Seats (Minorities + Non-Minorities)
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st.header('Total Sanctioned Seats')
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total_sanctioned = summary['Minorities Sanctioned'] + summary['Non-Minorities Sanctioned']
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fig, ax = plt.subplots()
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ax.bar(summary['District'], total_sanctioned, label='Total Sanctioned', color='blue')
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ax.set_ylabel('Number of Seats')
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ax.set_xlabel('District')
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ax.set_title('Total Sanctioned Seats')
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ax.legend()
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plt.xticks(rotation=90)
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st.pyplot(fig)
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# Graph 10: Total Admitted Students (Minorities + Non-Minorities)
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st.header('Total Admitted Students')
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total_admitted = summary['Minorities Admitted'] + summary['Non-Minorities Admitted']
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fig, ax = plt.subplots()
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ax.bar(summary['District'], total_admitted, label='Total Admitted', color='green')
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ax.set_ylabel('Number of Students')
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ax.set_xlabel('District')
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ax.set_title('Total Admitted Students')
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ax.legend()
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plt.xticks(rotation=90)
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st.pyplot(fig)
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