条件语句和循环语句--以全球重要股指为分析对象

数据来源：Wind

1.创建上表中指数日涨跌幅的列表，并且要求每个指数对应一个列表

dj_list = [0.012717,-0.003021,0.001490,0.006351,-0.001653,-0.007230,0.000252,0.010299,-0.001042,0.002573,-0.000118,0.004159] #道琼斯工业平均指数
hs_list = [0.017578,0.002119,0.012210,-0.001670,0.004704,0.002671,-0.-0.001258,-0.009300,0.002356,-0.003311,0.010706,-0.000172,-0.005358]#恒生指数
sz_list = [0.025755,0.002038,0.012425,0.009413,-0.000543,-0.001586,0.000699,-0.016030,-0.000419,-0.003399,0.023857,0.002926,-0.003958]#上证综指
sc_list =[0.036423,-0.000715,0.007812,0.007281,-0.006138,0.008187,-0.000147,-0.026514,-0.002566,-0.007755,0.023263,0.005520,-0.005487]#深证成指

2.访问包含道琼斯工业平均指数日涨跌幅列表，找出首次跌幅超过-0.6%这一日之前的全部交易日涨跌幅数据

for i in dj_list:
    if i < -0.0006:
        break
    print('已经访问的道琼斯工业平均指数涨跌幅数据',i)

 3.访问包含恒生指数日涨跌幅列表，找出交易日当天指数下跌的全部数据

第一种解法：

for i in hs_list:
    if i > 0:
        pass #跳过不执行该语句
    else:
        print('恒生指数日跌幅数据',i)

第二种方法：

for i in hs_list:
    if i > 0:
        continue #表示终止并出该次循环，直接执行下一次循环
    print('恒生指数日跌幅数据',i)

 4.访问包含上证综指的日涨跌幅列表，找出日涨跌幅处于【-1%，1%】区间的数据并创建一个新的列表；同时，访问包含深证成指的日涨跌幅列表，找出日涨跌幅超过0.5%的数据并创建一个新的列表

1）

#创建一个新的上证综指列表，元素在[-1%，1%]区间
new_sz_list = []
for i in sz_list:
    if i < -0.01:
        pass
    elif i > 0.01:
        pass
    else:
        new_sz_list.append(i)
print('上证综合指日涨跌幅处于-1%至1%区间的列表n',new_sz_list)
  

2）

#创建一个新的深证成指列表，元素在大于0.5%
new_sc_list = []
for i in sc_list:
    if i <0.005:
        pass
    else:
        new_sc_list.append(i)
print('深证成指日涨跌幅超过0.5%的列表n',new_sc_list)

题目来源：斯文《Python金融实战案例精粹》