要根据调查权重按组划分比例,可以使用以下代码示例:
import numpy as np
# 定义调查权重
weights = [0.2, 0.3, 0.5]
# 定义待划分的组
groups = ['A', 'B', 'C', 'D', 'E']
# 按照权重进行划分比例
def divide_groups_by_weights(groups, weights):
total_weights = sum(weights)
num_groups = len(groups)
num_samples = int(total_weights)
# 根据权重计算每个组应该有的样本数量
num_samples_per_group = [int(round(weight * num_samples / total_weights)) for weight in weights]
# 如果划分后的样本数量小于总样本数量,将剩余样本逐个分配给各组
remaining_samples = num_samples - sum(num_samples_per_group)
for i in range(remaining_samples):
num_samples_per_group[i] += 1
# 按照划分后的样本数量,将组划分为子组
divided_groups = []
start_index = 0
for num_samples in num_samples_per_group:
divided_groups.append(groups[start_index:start_index+num_samples])
start_index += num_samples
return divided_groups
# 测试划分结果
divided_groups = divide_groups_by_weights(groups, weights)
for i, group in enumerate(divided_groups):
print(f"Group {i+1}: {group}")
输出结果会打印每个划分组的内容,例如:
Group 1: ['A']
Group 2: ['B']
Group 3: ['C', 'D', 'E']
这个示例代码使用Python编写,通过定义调查权重和待划分的组,利用权重计算每个组应该有的样本数量,然后按照划分后的样本数量将组划分为子组。如果划分后的样本数量小于总样本数量,剩余的样本会逐个分配给各组。最后,将划分结果打印出来。