网站做导航设计的作用是什么win10系统优化工具

目录

前置：

获取数据代码 

数据整理代码

视频

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前置：

1 本系列将以 “A股复权计算_” 开头放置在“随想”专栏
2 权息数据结合 “PostgreSQL_” 系列博文中的股票未复权数据，可以自行计算复权日数据

获取数据代码 

配股数据

df = DataAPI.EquAllotGet(secID=u"",ticker=u"",isAllotment=u"1",beginDate=u"19900101",endDate=u"20250331",field=u"",pandas="1")
df.to_csv('peigu600.csv')

分红数据

 df = DataAPI.EquDivGet(secID=u"",ticker=u"",eventProcessCD=u"6",exDivDate="",beginDate=u"19900101",endDate=u"20250331",beginPublishDate=u"",endPublishDate=u"",beginRecordDate=u"",endRecordDate=u"",field=u"",pandas="1")
df.to_csv('fenhong600.csv')

拆股数据

 df = DataAPI.EquSplitsGet(secID=u"",ticker=u"",beginDate=u"19900101",endDate=u"20250331",field=u"",pandas="1")
df.to_csv('chaigu600.csv')

数据整理代码

import pandas as pddef temp_000():pre_dir = r'E:/temp003/'df_splits = pd.read_csv(pre_dir + 'chaigu600.csv',encoding='utf-8')df_allotment = pd.read_csv(pre_dir + 'peigu600.csv',encoding='utf-8')df_equdiv = pd.read_csv(pre_dir + 'fenhong600.csv',encoding='utf-8')col_splits = ['ticker','reTradeDate','splitsRatio']col_allotment = ['ticker','exRightsDate','allotmentRatio','allotmentPrice']col_equdiv = ['ticker','exDivDate','bonusShareListDate','perShareDivRatio','perShareTransRatio','perCashDiv']target_col = ['ticker','exDate','perShareTransRadio','perCashDiv','allotmentRatio','allotmentPrice']df_equdiv['perShareDivRatio'] = df_equdiv['perShareDivRatio'].fillna(0)df_equdiv['perShareTransRatio'] = df_equdiv['perShareTransRatio'].fillna(0)df_equdiv.dropna(how='all',subset=['exDivDate','bonusShareListDate'],inplace=True)df_splits = df_splits.loc[df_splits['splitsRatio']>=1].copy()df_splits['ticker'] = df_splits['secID'].str.slice(0,6)df_allotment['ticker'] = df_allotment['secID'].str.slice(0,6)df_equdiv['ticker'] = df_equdiv['secID'].str.slice(0,6)df_splits = df_splits.loc[:,col_splits].copy()df_allotment = df_allotment.loc[:,col_allotment].copy()df_equdiv = df_equdiv.loc[:,col_equdiv].copy()df_equdiv['exDivDate'] = df_equdiv['exDivDate'].fillna(df_equdiv['bonusShareListDate'])df_equdiv['perShareTransRadio'] = df_equdiv['perShareDivRatio'] + df_equdiv['perShareTransRatio']# mergedf = pd.DataFrame(columns=['ticker','exDate','perShareTransRadio','perCashDiv'])df['ticker'] = df_equdiv['ticker'].to_list()df['exDate'] = df_equdiv['exDivDate'].to_list()df['perShareTransRadio'] = df_equdiv['perShareTransRadio'].to_list()df['perCashDiv'] = df_equdiv['perCashDiv'].to_list()df_allotment.rename(columns={'exRightsDate':'exDate'},inplace=True)df_splits.rename(columns={'reTradeDate':'exDate'},inplace=True)df = pd.merge(df,df_allotment,on=['ticker','exDate'],how='outer')df = pd.merge(df,df_splits,on=['ticker','exDate'],how='outer')# 拆股 eg:1股拆成10股，=》1股送9股df['perShareTransRadio'] = df['perShareTransRadio'].fillna(0)df.loc[df['splitsRatio'].notnull(),'perShareTransRadio'] = df['perShareTransRadio'] + df['splitsRatio'] -1df['perCashDiv'] = df['perCashDiv'].fillna(0)df['allotmentRatio'] = df['allotmentRatio'].fillna(0)df['allotmentPrice'] = df['allotmentPrice'].fillna(0)df['date_o'] = pd.to_datetime(df['exDate'])df.sort_values(by='date_o',inplace=True)df = df.loc[:,target_col]df.to_excel(pre_dir + '000.xlsx',engine='openpyxl')passif __name__ == '__main__':temp_000()pass

视频

https://www.bilibili.com/video/BV1jeZhYPEGA/
https://www.bilibili.com/video/BV1LoZ8Y8EN8/
https://www.bilibili.com/video/BV1acZhYdEdU/
https://www.bilibili.com/video/BV1xLZhYjEMx/
https://www.bilibili.com/video/BV1xLZhYjEMP/