Python之Tushare模块实现股票分析案例整合版

左手的ㄟ右手 2021-09-07 06:16 430阅读 0赞

## Python之Tushare模块实现股票分析案例整合版 ##

本文是对我的另一篇博文的整理以及简化，原博文链接如下：  
[https://blog.csdn.net/m0\_54218263/article/details/114550380][https_blog.csdn.net_m0_54218263_article_details_114550380]  
原博文的名称为：  
[Python之Tushare模块实现股票分析案例][https_blog.csdn.net_m0_54218263_article_details_114550380]

本例中：

代码实现如下：

import numpy as np
    import pandas as pd
    import matplotlib.pyplot as plt
    import tushare as ts
    
    token = 'e64cb91a984780f85fad6e90b410e80eda93b238fba887f02f18e71e'
    pro = ts.pro_api(token=token)
    df = pro.daily(ts_code='000007.SZ', start_date='20160309', end_date='20200309')
    df.to_csv('./data_of_trade')
    df = pd.read_csv('./data_of_trade')
    df = df.drop(['Unnamed: 0'], axis=1)
    df = df.drop(['ts_code'], axis=1)
    for i in range(654):
        df.iloc[i, 0] = str(df.iloc[i, 0])
    df['trade_date'] = pd.to_datetime(df['trade_date'])
    df = df.set_index(df['trade_date'])
    df = df.drop(['trade_date'], axis=1)
    # 1/
    up_df = (df.loc[df['open'] < df['close']]).index
    print(up_df)
    down_df = (df.loc[df['open'] > df['close']]).index
    print(down_df)
    # 2/
    time_list = list(df.index)
    high_price_list = list(df['high'])
    plt.figure(figsize=(200, 300), dpi=25)
    plt.scatter(time_list, high_price_list, c='red', s=25, label='high_price')
    plt.xticks(time_list, rotation=90, size=10)
    plt.yticks(high_price_list, size=10)
    plt.xlabel("x", fontdict={ 'size': 50})
    plt.ylabel("y", fontdict={ 'size': 50})
    plt.title("Chart", fontdict={ 'size': 50})
    plt.legend(loc='best')
    plt.show()

运行结果展示：  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L20wXzU0MjE4MjYz_size_16_color_FFFFFF_t_70_pic_center]

DatetimeIndex(['2020-03-09', '2020-03-06', '2020-03-05', '2020-03-04',
                   '2020-03-03', '2020-03-02', '2020-02-28', '2020-02-25',
                   '2020-02-24', '2020-02-18',
                   ...
                   '2016-08-15', '2016-08-12', '2016-08-10', '2016-08-08',
                   '2016-08-03', '2016-08-01', '2016-07-29', '2016-07-26',
                   '2016-07-25', '2016-07-20'],
                  dtype='datetime64[ns]', name='trade_date', length=298, freq=None)
    DatetimeIndex(['2020-02-27', '2020-02-26', '2020-02-21', '2020-02-20',
                   '2020-02-19', '2020-02-14', '2020-02-11', '2020-01-23',
                   '2020-01-22', '2020-01-21',
                   ...
                   '2016-08-11', '2016-08-09', '2016-08-05', '2016-08-04',
                   '2016-08-02', '2016-07-28', '2016-07-27', '2016-07-22',
                   '2016-07-21', '2016-07-19'],
                  dtype='datetime64[ns]', name='trade_date', length=321, freq=None)

以及：  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L20wXzU0MjE4MjYz_size_16_color_FFFFFF_t_70_pic_center 1]  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L20wXzU0MjE4MjYz_size_16_color_FFFFFF_t_70_pic_center 2]

[https_blog.csdn.net_m0_54218263_article_details_114550380]: https://blog.csdn.net/m0_54218263/article/details/114550380
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L20wXzU0MjE4MjYz_size_16_color_FFFFFF_t_70_pic_center]: /images/20210813/a0e1ffe728ed4a32b34ed08447bc4a14.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L20wXzU0MjE4MjYz_size_16_color_FFFFFF_t_70_pic_center 1]: /images/20210813/a0531ace11354f8b953039ad3a03b5c2.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L20wXzU0MjE4MjYz_size_16_color_FFFFFF_t_70_pic_center 2]: /images/20210813/8abc135db46344bcbb1ebab32a4cfd17.png