python之小数点后第二位的停止平均数

我让这段代码工作，但我想让我打印出来的部分停在小数点后的 2 个数字 (0.00) 我不知道该怎么做，任何人都可以提供一些见解我将使用什么命令来执行此操作。 这是代码

import csv 
 
#turn csv files into a list of lists 
with open('train.csv','rU') as csvfile: 
     reader = csv.reader(csvfile) 
     csv_data = list(reader) 
with open ('train.csv', 'r') as f: 
    numline = len(f.readlines()) 
 
# Create two lists to handle the patients 
# And two more lists to collect the 'sum' of the columns 
# The one that needs to hold the sum 'must' have 0 so we  
# can work with them more easily 
iList = [] 
iList_sum = [0,0,0,0,0,0,0,0,0,0,0,0,0] 
IPcounter = 0 
hList = [] 
hList_sum = [0,0,0,0,0,0,0,0,0,0,0,0,0] 
HPcounter = 0 
 
# Only use one loop to make the process mega faster 
for row in csv_data: 
    # If row 13 is greater than 0, then place them as unhealthy 
    if (row and int(row[13]) > 0): 
        # This appends the whole 'line'/'row' for storing :) 
        # That's what you want (instead of saving only one cell at a time) 
        iList.append(row) 
        IPcounter += 1 
 
    # If it failed the initial condition (greater than 0), then row 13 
    # is either less than or equal to 0. That's simply the logical outcome 
    else: 
        hList.append(row) 
        HPcounter += 1 
 
 
# Loop through all the 'rows' of the ill patient  
for ill_data in iList: 
 
    # Loop through the data within each row, and sum them up 
    qmark_counter = 0 
    for i in range(0,len(ill_data) - 1): 
        if ill_data[i] == '?': 
            val = 0 
 
        else: 
            val = ill_data[i] 
        iList_sum[i] += float(val) 
 
 
 
# Now repeat the process for healthy patient 
# Loop through all the 'rows' of the healthy patient  
for healthy_data in hList: 
 
    # Loop through the data within each row, and sum them up 
    for i in range(0,len(healthy_data) - 1): 
        hList_sum[i] += float(ill_data[i]) 
 
 
ill_avg = [ ill / len(iList) for ill in iList_sum] 
hlt_avg = [ hlt / len(hList) for hlt in hList_sum] 
 
 
 
print('Total number of lines ' + str(numline)) 
print("Total amount of healthy patients " + str(HPcounter)) 
print("Total amount of ill patients " + str(IPcounter)) 
print("Averages of healthy patients " + str(hlt_avg)) 
print("Averages of ill patients " + str(ill_avg)) 

这是输出

    Total number of lines 303 
Total amount of healthy patients 164 
Total amount of ill patients 139 
Averages of healthy patients [57.0, 0.0, 2.0, 130.0, 236.0, 0.0, 2.0, 174.0, 0.0, 0.0, 2.0, 1.0, 3.0] 
Averages of ill patients [56.62589928057554, 0.8201438848920863, 3.5899280575539567, 134.568345323741, 251.4748201438849, 0.15827338129496402, 1.1726618705035972, 139.25899280575538, 0.5467625899280576, 1.5741007194244607, 1.8273381294964028, 1.129496402877698, 5.798561151079137] 

请您参考如下方法:

您可以使用 round(number, ndigits)其中 ndigits 是小数位数。

例如

>>> number = 32.32434354 
>>> round(number, 2) 
32.32 
>>> round(number, 5) 
32.32434 

另一种方法是使用 Python 的 str.format() .

例如

>>> '{:.2f}'.format(number) 
'32.32' 
>>> '{:.5f}'.format(number) 
'32.32434' 

在哪里，

• {}是.format()插入数字的位置。

• f 指定数字将是一个float。

• .2或.5表示四舍五入到小数点后两位或五位。