从这Python第三方库：Requests，BeautifulSoup，NumPy，pandas，Matplotlib， Turtle库，jieba分词，WordCloud词云，pyecharts库中写一个股票分析的Python代码

好的，以下是一个使用Requests、BeautifulSoup、NumPy、pandas、Matplotlib、jieba分词、WordCloud词云和pyecharts库实现的股票分析Python代码：

import requests
from bs4 import BeautifulSoup
import numpy as np
import pandas as pd
import jieba
from wordcloud import WordCloud
import matplotlib.pyplot as plt
from pyecharts.charts import KLine
from pyecharts import options as opts

# 从新浪财经获取股票数据
def get_stock_data(stock_code):
    url = 'https://finance.sina.com.cn/realstock/company/{}/nc.shtml'.format(stock_code)
    response = requests.get(url)
    soup = BeautifulSoup(response.text, 'lxml')
    table = soup.find_all('table')[0]
    stock_data = pd.read_html(str(table), header=0)[0]
    stock_data = stock_data.set_index('日期')
    stock_data = stock_data.drop(['Unnamed: 7', '成交量'], axis=1)
    stock_data = stock_data.dropna()
    stock_data = stock_data.sort_index()
    return stock_data

# 绘制K线图
def plot_kline(stock_data, title):
    kline_data = []
    for index, row in stock_data.iterrows():
        kline_data.append([index.strftime('%Y-%m-%d'), row['开盘价'], row['收盘价'], row['最低价'], row['最高价']])
    kline = KLine()
    kline.add_xaxis([data[0] for data in kline_data])
    kline.add_yaxis('K线图', kline_data)
    kline.set_global_opts(title_opts=opts.TitleOpts(title=title))
    kline.render('kline.html')

# 绘制词云图
def plot_wordcloud(stock_data, title):
    news_content = ' '.join(stock_data['新闻'].values.tolist())
    words = jieba.cut(news_content)
    word_dict = {}
    for word in words:
        if len(word) > 1:
            word_dict[word] = word_dict.get(word, 0) + 1
    wordcloud = WordCloud(background_color='white', width=800, height=600).generate_from_frequencies(word_dict)
    plt.figure(figsize=(10, 8))
    plt.imshow(wordcloud, interpolation='bilinear')
    plt.axis("off")
    plt.title(title, fontsize=16)
    plt.show()

# 获取股票数据
stock_data = get_stock_data('sh600519')

# 绘制K线图
plot_kline(stock_data, '贵州茅台股票K线图')

# 绘制收益率曲线
stock_data['收益率'] = stock_data['收盘价'].pct_change()
plt.figure(figsize=(12, 6))
plt.title('贵州茅台股票收益率曲线')
plt.plot(stock_data.index, stock_data['收益率'])
plt.show()

# 绘制新闻词云图
plot_wordcloud(stock_data, '贵州茅台股票新闻词云图')

这个代码框架包括了从新浪财经获取股票数据、绘制K线图、绘制收益率曲线、绘制新闻词云图等功能。您可以根据自己的需求进行修改和扩展。需要注意的是，代码中需要使用jieba分词库和WordCloud词云库，需要先进行安装。