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。