从计数函数得到错误结果

import json from pprint import pprint xa1_min = 144.700000 xa1_max = 144.850000 ya1_min = -37.650000 ya1_max = -37.500000 xa2_min = 144.850000 xa2_max = 145.000000 ya2_min = -37.650000 ya2_max = -37.500000 xa3_min = 145.000000 xa3_max = 145.150000 ya3_min = -37.650000 ya3_max = -37.500000 xa4_min =145.150000 xa4_max =145.300000 ya4_min =-37.650000 ya4_max =-37.500000 xb1_min =144.700000 xb1_max =144.850000 yb1_min =-37.800000 yb1_max =-37.650000 xb2_min =144.850000 xb2_max =145.000000 yb2_min =-37.800000 yb2_max =-37.650000 xb3_min =145.000000 xb3_max =145.150000 yb3_min =-37.800000 yb3_max =-37.650000 xb4_min =145.150000 xb4_max =145.300000 yb4_min =-37.800000 yb4_max =-37.650000 xc1_min =144.700000 xc1_max =144.850000 yc1_min =-37.950000 yc1_max =-37.800000 xc2_min =144.850000 xc2_max =145.000000 yc2_min =-37.950000 yc2_max =-37.800000 xc3_min =145.000000 xc3_max =145.150000 yc3_min =-37.950000 yc3_max =-37.800000 xc4_min =145.150000 xc4_max =145.300000 yc4_min = -37.950000 yc4_max = -37.800000 xc5_min =145.300000 xc5_max =145.450000 yc5_min =-37.950000 yc5_max =-37.800000 xd3_min =145.000000 xd3_max =145.150000 yd3_min =-38.100000 yd3_max =-37.950000 xd4_min =145.150000 xd4_max =145.300000 yd4_min =-38.100000 yd4_max =-37.950000 xd5_min =145.300000 xd5_max =145.450000 yd5_min =-38.100000 yd5_max =-37.950000 #["properties"]['ID'] # Reading from grid with open('tinyTwitter.json') as load_f: info = json.load(load_f) coordinates = list() #print info for line in info: #print line['json']['coordinates']['coordinates'] coordinates.append(line['json']['coordinates']['coordinates']) #print coordinates[0][1] #print coordinates[0][0] counts = {'A1':0,'A2':0,'A3':0,'A4':0,'B1':0,'B2':0,'B3':0,'B4':0,'C1':0,'C2':0,'C3':0,'C4':0,'C5':0,'D3':0,'D4':0,'D5':0,'other':0} #comparing def compare(x,y): if xa1_min <= x <= xa1_max and ya1_min <= y <= ya1_max: counts['A1'] +=1 elif xa2_min <= x <= xa2_max and ya2_min <=y<= ya2_max: counts['A2'] +=1 elif xa3_min <= x <= xa3_max and ya3_min <=y<= ya3_max: counts['A3'] +=1 elif xa4_min <= x <= xa4_max and ya4_min <=y<= ya4_max: counts['A4'] += 1 elif xb1_min <= x <= xb1_max and yb1_min <=y<= yb1_max: counts['B1'] += 1 elif xb2_min <= x <= xb2_max and yb2_min <=y<= yb2_max: counts['B2'] += 1 elif xb3_min <= x <= xb3_max and yb3_min <=y<= yb3_max: counts['B3'] += 1 elif xb4_min <= x <= xb4_max and yb4_min <=y<= yb4_max: counts['B4'] += 1 elif xc1_min <= x <= xc1_max and yc1_min <=y<= yc1_max: counts['C1'] += 1 elif xc2_min <= x <= xc2_max and yc2_min <=y<= yc2_max: counts['C2'] += 1 elif xc3_min <= x <= xc3_max and yc3_min <=y<= yc3_max: counts['C3'] += 1 elif xc4_min <= x <= xc4_max and yc4_min <=y<= yc4_max: counts['C4'] += 1 elif xc5_min <= x <= xc5_max and yc5_min <=y<= yc5_max: counts['C5'] += 1 elif xd3_min <= x <= xd3_max and yd3_min <=y<= yd3_max: counts['D3'] += 1 elif xd4_min <= x <= xd4_max and yd4_min <=y<= yd4_max: counts['D4'] += 1 elif xd5_min <= x <= xd5_max and yd5_min <=y<= yd5_max: counts['D5'] += 1 else: counts['other']+= 1 #print counts for i,j in coordinates: #print i,j compare(i,j) print counts

2条回答

网友

1楼 · 编辑于 2024-06-28 18:43:52

也许您正在寻找：

len(counts.keys())

如果不是的话，围绕你的问题多一些背景知识会有助于找到解决方案。另外，通过将这些min/max数据点存储在字典列表中，并将这些比较语句压缩到单个循环中，似乎可以节省大量代码重复。大致如下：

data = [{'x-min': 0, 'x-max': 1, 'y-min': 0, 'y-max': 1, 'count': 0}, ...]

def within_threshold(x1, y1, point):
    within_x = x >= point['x-min'] and x <= point['x-max']
    within_y = y >= point['y-min'] and y <= point['y-max']
    return within_x and within_y

def compare(x, y):
    for point in data:
        if within_threshold(x, y, point):
            point['count'] += 1

网友

2楼 · 编辑于 2024-06-28 18:43:52

替换窗体的行

counts['A1']+=counts['A1']

用表格的线条

counts['A1']+=1

实际上，您永远不会增加counts，因为每次都要向它添加当前值（0）。你知道吗

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