使用python编写程序，从新浪财经取得SZ300666的每日分时数据，获取每日最高价和最低价的时间，并且统计60%的最高价时间区间和最低价的时间区间，将该区间打印出来

可以使用Python中的requests和BeautifulSoup库来爬取网页数据。具体的步骤如下：

1. 导入需要的库

import requests
from bs4 import BeautifulSoup

2. 构造请求URL，发送GET请求，获取HTML页面

url = 'http://finance.sina.com.cn/realstock/company/sh300666/nc.shtml'
response = requests.get(url)
html = response.content

3. 解析HTML页面，获取每日的分时数据

soup = BeautifulSoup(html, 'html.parser')
data_table = soup.find_all('table', class_='datatbl')[0]
data_rows = data_table.find_all('tr')[1:]
data = []
for row in data_rows:
    cols = row.find_all('td')
    time = cols[0].text
    high = float(cols[1].text)
    low = float(cols[2].text)
    data.append({'time': time, 'high': high, 'low': low})

4. 遍历分时数据，找出每日最高价和最低价的时间

high_time = ''
high_value = 0
low_time = ''
low_value = float('inf')
for d in data:
    if d['high'] > high_value:
        high_value = d['high']
        high_time = d['time']
    if d['low'] < low_value:
        low_value = d['low']
        low_time = d['time']
print('最高价时间：', high_time)
print('最低价时间：', low_time)

5. 统计60%的最高价时间区间和最低价时间区间

high_values = [d['high'] for d in data]
low_values = [d['low'] for d in data]
high_values.sort()
low_values.sort()
high_threshold = high_values[int(len(high_values) * 0.6)]
low_threshold = low_values[int(len(low_values) * 0.4)]
high_start = ''
high_end = ''
low_start = ''
low_end = ''
for d in data:
    if d['high'] >= high_threshold and not high_start:
        high_start = d['time']
    if d['high'] < high_threshold and high_start and not high_end:
        high_end = d['time']
    if d['low'] <= low_threshold and not low_start:
        low_start = d['time']
    if d['low'] > low_threshold and low_start and not low_end:
        low_end = d['time']
print('最高价时间区间：', high_start, '-', high_end)
print('最低价时间区间：', low_start, '-', low_end)

完整代码如下：