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Update Problem_Statement2.py #6

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14 changes: 0 additions & 14 deletions Problem_Statement2.py
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Original file line number Diff line number Diff line change
@@ -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)")

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