<span style="color: #008000">随机生成10个1到30的小数，不能重复，把10个小数放到容器里

<span style="color: #0000ff">while len(case_list) < 10<span style="color: #000000">:
rand_float = random.uniform(1,30<span style="color: #000000">)
<span style="color: #0000ff">if rand_float <span style="color: #0000ff">in<span style="color: #000000"> case_list:
<span style="color: #0000ff">continue<span style="color: #000000">
case_list.append(rand_float)
case_list = [round(case,2) <span style="color: #0000ff">for case <span style="color: #0000ff">in case_list] <span style="color: #008000">#<span style="color: #008000">格式化一下，不然太长不好看，当然这个因需要而定，我为了显示好看，所以格式化保留两位小数<span style="color: #008000">

<span style="color: #008000">我先执行了个结果

<span style="color: #0000ff">print case_list <span style="color: #008000">#<span style="color: #008000">结果是，[5.77,27.21,27.12,12.65,23.12,25.56,18.6,23.75,4.1,25.13]
case_list[6] = 23.12 <span style="color: #008000">#<span style="color: #008000">为了后面众数，弄个相同值出来
<span style="color: #0000ff">print str(case_list) <span style="color: #008000">#<span style="color: #008000">单独打下面了，方便看
<span style="color: #800000">'<span style="color: #800000">[5.77,25.13]<span style="color: #800000">'<span style="color: #000000">
case_list.sort() <span style="color: #008000">#<span style="color: #008000">排序,这个算法有很多,单独写,不在这里啰嗦<span style="color: #008000">

<span style="color: #008000">先写个累加函数，为了方便，就不try了，默认输入的结果都是对的

<span style="color: #0000ff">def<span style="color: #000000"> sum_fun(xlist):
n =<span style="color: #000000"> 0
<span style="color: #0000ff">for x <span style="color: #0000ff">in<span style="color: #000000"> xlist:
n +=<span style="color: #000000"> x
<span style="color: #0000ff">return<span style="color: #000000"> n
<span style="color: #008000">#<span style="color: #008000">统计数据量函数
<span style="color: #0000ff">def<span style="color: #000000"> len_fun(xlist):
n =<span style="color: #000000"> 0
<span style="color: #0000ff">for x <span style="color: #0000ff">in<span style="color: #000000"> xlist:
n += 1
<span style="color: #0000ff">return<span style="color: #000000"> n
<span style="color: #008000">#<span style="color: #008000">累乘，和累加一样
<span style="color: #0000ff">def<span style="color: #000000"> multiply_fun(xlist):
n = 1
<span style="color: #0000ff">for x <span style="color: #0000ff">in<span style="color: #000000"> xlist:
n *=<span style="color: #000000"> x
<span style="color: #0000ff">return<span style="color: #000000"> n

<span style="color: #008000">#<span style="color: #008000">1、算数平均数：加和/个数
def sum_mean_fun(case_list):? sum_mean_num = sum_fun(case_list)/len_fun(case_list)? return sum_mean_num <span style="color: #008000">#<span style="color: #008000">结果是19.753

<span style="color: #008000">#<span style="color: #008000">2、算数平均数回报,平均回报率计算,
<span style="color: #000000">def sum_mean_rate(case_list):? '((case_list[1]-case_list[0])/case_list(0)+(case_list[2]-case_list[1])/case_list(1)+...(case_list[n]-case_list[n-1])/case_list(n-1))/len(case_list-1)'? n = 1? rate_return = [] #存放回报率? while n < len_fun(case_list):??? rate = (case_list[n] - case_list[n-1])/case_list[n-1]??? rate_return.append(rate)??? n += 1? mean_rate_num = sum_fun(rate_return)/len_fun(rate_return)? return mean_rate_num

<span style="color: #008000">#<span style="color: #008000">3、中位数,list中间的数,如果count是基数index = len(list)/2,如果是偶数index1 = (len(list)/2 index2 = (len(list)/2)+1)
def median_fun(case_list):? if len_fun(case_list)%2 == 1:??? median = case_list[(len_fun(case_list)+1)/2-1]? else:??? median = (case_list[len_fun(case_list)/2-1] + case_list[len_fun(case_list)/2])/2? return median

<span style="color: #008000">#<span style="color: #008000">4、众数,存在最多的数
<span style="color: #000000">def modes_fun(case_list):? case_list_delre = list(set(case_list)) #去重,这个如果自己写的话可以用分治法,有兴趣的话可以自己写个? count_max = 0? for case_part in case_list_delre:??? case_count = case_list.count(case_part)??? if case_count > count_max:????? count_max = case_count????? max_return = case_part? if count_max == 1:??? return None? mode = max_return? return mode

<span style="color: #008000">#<span style="color: #008000">5、极差,最大-最小,因为已经拍好序,所以index min - index max
<span style="color: #000000">def ext_minus_fun(case_list):? ext_minus_num = case_list[len_fun(case_list)-1] - case_list[0]? return ext_minus_num

<span style="color: #008000">#<span style="color: #008000">6、四分位数,箱图用的,可以避免极值的影响,分别是index1 = len(list)/4 index2 = 3len(list)/4
<span style="color: #000000">def four_bit_fun(case_list):? Q1 = case_list[len_fun(case_list)/4]? Q2 = case_list[3len_fun(case_list)/4]? return Q1,Q2

<span style="color: #008000">#<span style="color: #008000">7、几何平均数,和算数平均数不同,把所有都乘过^(1/len(list))
<span style="color: #000000">def geom_mean_fun(case_list):? geom_mean_num = multiply_fun(case_list) ** (1.0/len_fun(case_list))? return geom_mean_num

<span style="color: #008000">#<span style="color: #008000">8、几何平均回报,R = 回报,((1+R1)(1+R2)...(1+Rn))^1/(len(count(R))-1)
def geom_mean_rate(case_list):? n = 1? rate_return = [] #存放回报率? while n < len_fun(case_list):??? rate = (case_list[n] - case_list[n-1])/case_list[n-1]??? rate_return.append(rate)??? n += 1? rate_return = [1+rate for rate in rate_return]? geom_mean_rate_num = multiply_fun(rate_return) ** (1.0/len_fun(rate_return)) - 1? return geom_mean_rate_num# 验证if name == 'main':? rand_list = create_rand_list(1,30,10)? rand_list.sort()? print rand_list? sum_mean_num = sum_mean_fun(rand_list)? print sum_mean_num? mean_rate_num = sum_mean_rate(rand_list)? print mean_rate_num? median_num = median_fun(rand_list)? print median_num? modes_num = modes_fun(rand_list)? print modes_num? ext_minus_num = ext_minus_fun(rand_list)? print ext_minus_num? four_bit_q1,four_bit_q2 = four_bit_fun(rand_list)? print four_bit_q1? print four_bit_q2? geom_mean_num = geom_mean_fun(rand_list)? print geom_mean_num? geom_mean_rate_num = geom_mean_rate(rand_list)? print geom_mean_rate_num