Python:获取到点的最小欧几里德距离的CSV文件的行号

import csv
import math

def euclidean_distance(point1, point2):
    distance = math.sqrt((point2[0] - point1[0])**2 + (point2[1] - point1[1])**2)
    return distance

with open('data.csv', 'r') as file:
    reader = csv.reader(file)
    data = list(reader)

min_distance = float('inf')
min_row = -1

for i in range(len(data)):
    point = [float(data[i][0]), float(data[i][1])]
    distance = euclidean_distance(point, target_point)
    if distance < min_distance:
        min_distance = distance
        min_row = i

print("最小距离的行号为:", min_row)

import csv
import math

def euclidean_distance(point1, point2):
    distance = math.sqrt((point2[0] - point1[0])**2 + (point2[1] - point1[1])**2)
    return distance

target_point = [x, y]  # 目标点的坐标
min_distance = float('inf')
min_row = -1

with open('data.csv', 'r') as file:
    reader = csv.reader(file)
    data = list(reader)

for i in range(len(data)):
    point = [float(data[i][0]), float(data[i][1])]
    distance = euclidean_distance(point, target_point)
    if distance < min_distance:
        min_distance = distance
        min_row = i

print("最小距离的行号为:", min_row)