Python:循环网格分类的更多Pythonic方法

时间:2012-11-20 16:07:38

标签: python for-loop

我有一个11×11大小的网格放在散点图上。散点图是100个随机生成的对。在每个网格空间内,是一种分类类型,其中:

A型大于0,但在X和Y轴上小于0.5, B型在X轴和Y轴上都大于0.5,但小于1.5 等...

我想知道每个网格空间中有多少个点,以及该网格空间中存在的对。这部分不是问题,我只是想知道是否有更多pythonic方式来编写我的循环,因为我不想为每个网格空间编写if语句。

我的脚本如下:

    TypeA = []
    TypeB = []

    fig = plt.figure()
    ax = fig.gca()
    ax.set_xticks(np.arange(0.5, 10.5, 1))
    ax.set_yticks(np.arange(0.5, 10.5, 1))

    for ii in range(100):
        RNumX = randint(0, 10)
        RNumY = randint(0, 10)

        print RNumX, RNumY

        hold(True)
        plot1 = plt.scatter(RNumX, RNumY)

        if RNumX >= 0 and RNumX < 0.5:
            if RNumY >= 0 and RNumY < 0.5:
                PairA = (RNumX, RNumY)
                TypeA.append(PairA)

            elif RNumY >= 0.5 and RNumY < 1.5:
                PairB = (RNumX, RNumY)
                TypeB.append(PairB)

    SumA = len(TypeA)
    SumB = len(TypeB)

    print TypeA, SumA
    print TypeB, SumB

    plt.grid()
    plt.show()  

2 个答案:

答案 0 :(得分:1)

您可以键入矩阵并对值进行舍入以查找索引:

from random import random

# An 11 x 11 matrix of lists
Type = 11 * (11 * ([],),)

fig = plt.figure()
ax = fig.gca()
ax.set_xticks(np.arange(0.5, 10.5, 1))
ax.set_yticks(np.arange(0.5, 10.5, 1))

for ii in range(100):
    # If you want to use floats in stead of ints
    RNumX = 0.5 + 10 * random()
    RNumY = 0.5 + 10 * random()

    print RNumX, RNumY

    hold(True)
    plot1 = plt.scatter(RNumX, RNumY)

    # Round the coordinates to find the indices
    Type[int(RNumX + 0.5)][int(RNumY + 0.5)].append((RNumX, RNumY))

# Print all buckets as your snippet implies
for x in Type:
    for y in x:
        print y, len(y)

# Print only buckets with both values in the same range as your question implies
for x in range(11):
    print Type[x][x], len(Type[x][x])

plt.grid()
plt.show() 

答案 1 :(得分:0)

你可以使用bisect模块来避免那些if语句。这是一个快速而又肮脏的例子。

from functools import total_ordering
import bisect

@total_ordering
class Point:
  def __init__(self, X, Y):
    self.X = X
    self.Y = Y

  def __eq__(self, other):
    return self.X == other.X and self.Y == other.Y

  def __lt__(self, other):
    return self.X < other.X and self.Y < other.Y

print [(float(x)/2, float(x)/2) for  x in xrange(0, 23)]

[(0.0,0.0),(0.5,0.5),(1.0,1.0),(1.5,1.5),(2.0,2.0),(2.5,2.5),(3.0,3.0),(3.5,3.5) ),(4.0,4.0),(4.5,4.5),(5.0,5.0),(5.5,5.5),(6.0,6.0),(6.5,6.5),(7.0,7.0),(7.5,7.5), (8.0,8.0),(8.5,8.5),(9.0,9.0),(9.5,9.5),(10.0,10.0),(10.5,10.5),(11.0,11.0)]

points = [Point(float(x)/2, float(x)/2) for  x in xrange(0, 23)]
types = [chr(x) for x in xrange(65, 91)]
print types

['A','B','C','D','E','F','G','H','I','J','K','L ','M','N','O','P','Q','R','S','T','U','V','W','X', 'Y','Z']

print types[bisect.bisect(points, Point(0.1, 0.1)) - 1]

A

print types[bisect.bisect(points, Point(0.6, 0.6)) - 1]