InJeCTrL

'''
获取单支股票日线
包括所有行情数据，每800支股票分卷
'''
import pandas as pd
import zipfile

def ZF(FileList_in,ZFileName_out):
    f = zipfile.ZipFile(ZFileName_out, 'w')
    for file in FileList_in:

InJeCTrL

function goNext(now){
	if (now.nextElementSibling != null){
		now.nextElementSibling.getElementsByTagName("a")[0].click();
	}
	else if (now.parentNode.nextElementSibling != null){
		now.parentNode.nextElementSibling.getElementsByTagName("a")[0].click();
	}
	else if (now.parentNode.parentNode.nextElementSibling != null){
		now.parentNode.parentNode.nextElementSibling.getElementsByTagName("a")[0].click();
	}

InJeCTrL

BiliBili:

var reg = /https:\S*?sig=no/;
addr = reg.exec(document.getElementsByClassName("script-requirement")[0].innerHTML)[0];
window.open(addr.replace(/\\u002F/g,"/"));

InJeCTrL

print("开始获取全部数据集...")
q1 = query(growth,cashflow,balance,income,growth_sq,income_sq,cashflow_sq,profit_sq,asharevalue,ashareprofit,ashareoperate,asharedebt)#08~
q2 = query(growth,cashflow,balance,income,growth_sq,income_sq,cashflow_sq,profit_sq)#05~07
print("全部数据集获取完成，开始查询...")
for y in range(2005,2020,1):
    print("开始查询"+str(y)+"年的财务数据...")
    for i in range(1,5,1):
        aaa=str(y)+"q"+str(i)
        days = get_trade_days(str(y)+'0101', str(y)+'1231').strftime('%Y%m%d').tolist()
        if y <= 2007:

InJeCTrL

print("开始.......")
q = query(sport_event)
print("开始查询.......")
df = get_important_matters(q)
print("完成查询........开始写入........")
for a in range(0, len(df), 300000):
    if a+300000 >= len(df):
        dfw = df[a:len(df)-1]
    else:
        dfw = df[a:a+300000]

InJeCTrL

import zipfile

def ZF(FileList_in,ZFileName_out):
    f = zipfile.ZipFile(ZFileName_out, 'w')
    for file in FileList_in:
        f.write(file)
    f.close()
    return ZFileName_out

print("开始查询2005-2019年所有交易日的因子数据...")

InJeCTrL

#Segment 1 - Open All Folders to show file trees
FolderNum = document.getElementsByClassName("ml").length
for (var i=0;i<FolderNum;i++)
{
	document.getElementsByClassName("ml")[i].click()
}
document.getElementsByClassName("ml")[FolderNum-1].click()
#Segment 2 - Find download URLs textfile and download
var reg = /ys-.\.ys168\.com\/\S*\.doc[x]?/g;
src = document.getElementById("mainMenu").innerHTML

InJeCTrL

import matplotlib
import matplotlib.pyplot as plt
import pandas as pd
df = pd.read_csv('population.csv',skiprows=3)
df.set_index('Country Code',inplace=True)
excep = ['EAP','SAS','TEA','TEC','TLA','TMN','TSA','TSS',
         'IBT','IDA','IDB','OED','HIC','LTE','PRE','PST',
         'IDX','SSA','LDC','ECS','HPC','LIC','LCN','LAC',
         'EUU','FCS','LMY','MIC','IBD','EAR','LMC','UMC',
         'EAS','SSF','MEA','ECA','ARB','MNA','NAC','EMU',

InJeCTrL

//JS获取table列
var str = null;
var obj = document.getElementById(123)
var len = obj.rows.length
for (var i = 1;i<len;i++)
{
	str += "\"";
	str += obj.rows.item(i).cells.item(0).innerHTML;
	str += "\",";
}

InJeCTrL

var courseURLList = [];
var index_ID = -1;
var lastHour = 0;
var lastMinute = 0;
var lastSecond = 0;

getCourseList();
nextVideo();
var _timer = setInterval
(