From 0c25e930188db34dbe089bc4ad707830df7696d5 Mon Sep 17 00:00:00 2001
From: ayush-4299 <147387831+ayush-4299@users.noreply.github.com>
Date: Wed, 23 Apr 2025 11:20:42 +0530
Subject: [PATCH] Update Problem_Statement2.py

---
 Problem_Statement2.py | 14 --------------
 1 file changed, 14 deletions(-)

diff --git a/Problem_Statement2.py b/Problem_Statement2.py
index 225ecf2..a03b6ae 100644
--- a/Problem_Statement2.py
+++ b/Problem_Statement2.py
@@ -1,18 +1,4 @@
-#############################Problem 2:Constituency-Level Election Insights##############################
 
-import pandas as pd
-import numpy as np
-import matplotlib.pyplot as plt
-import seaborn as sns
-# Load the dataset
-df=pd.read_csv(r"C:\Users\ayush\OneDrive\Desktop\PythonCA2\Data.csv")
-
-###Objective 1: Identify constituencies with the highest and lowest number of candidates
-# Count candidates per constituency
-candidates_per_constituency = df.groupby('ac_name')['candidate_name'].nunique()
-# Find the highest and lowest
-highest_constituency = candidates_per_constituency.idxmax()
-lowest_constituency = candidates_per_constituency.idxmin()
 print(f"Constituency with highest candidates:{highest_constituency}({candidates_per_constituency.max()} candidates)")
 print(f"Constituency with lowest candidates:{lowest_constituency}({candidates_per_constituency.min()} candidates)")