Question

我正在尝试创建一个程序来查找数据文件的最大值，最小值，平均值和bmi。该文件是12列宽，但是，我不知道如何使用数据为每一行创建一个bmi？ 旁注： 我不能使用Pandas，我需要用标准线切片等解决。

这里是示例data.txt：

 Name Height(m) Weight(kg)
 Joe    1.82    72.57
 Mary   1.60    63.50
 Dion   1.90    90.71
 Kayla  1.72    66.31
 Jose   1.78    70.23
 Sofia  1.63    65.12
 Erik   1.98    92.21
 Sara   1.57    65.77

example result:
Name Height(m) Weight(kg) BMI
Joe   1.82     72.57     21.91
Mary  1.60     63.50     24.80
Dion  1.90     90.71     25.13
Kayla 1.72     66.31     22.41
Jose  1.78     70.23     22.17
Sofia 1.63     65.12     24.51
Erik  1.98     92.21     23.52
Sara  1.57     65.77     26.68

Average 1.75   73.30     23.89
Max 1.98       92.21     26.68
Min 1.57       63.50     21.91

到目前为止，这是我的代码：

 def reading_file():
    file=open("data.txt")
    headers = file.readline().strip()
    print("headers:\n{}\n\nrest of file:".format(headers))
    total_height=0
    total_weight=0
    bmi=0
    for line in file:
        line_list=line.strip()
        height=line_list[12:24]
        weight=line_list[24:36]
        print(height,weight)

        total_height+=float(height)
        avg_height=total_height/8

        total_weight+=float(weight)  
        avg_weight=total_weight/8
        avg_bmi=float(avg_weight)/float(avg_height)**2
     print("average bmi:",avg_bmi)
     print("average weight:",avg_weight)
     print("average height:",avg_height)


 print(reading_file())

我的结果：标题：名称高度（m）重量（kg）

rest of file:
1.82         72.57
1.60         63.50
1.90         90.71
1.72         66.31
1.78         70.23
1.63         65.12
1.98         92.21
1.57         65.77
average bmi: 23.93551020408163
average weight: 73.3025
average height: 1.75
None

如何为每列创建bmi？

Answer 1

您可以使用pandas：

df = pd.read_clipboard()

df
Out[20]: 
    Name  Height(m)  Weight(kg)
0    Joe       1.82       72.57
1   Mary       1.60       63.50
2   Dion       1.90       90.71
3  Kayla       1.72       66.31
4   Jose       1.78       70.23
5  Sofia       1.63       65.12
6   Erik       1.98       92.21
7   Sara       1.57       65.77

# calculate the BMI column 
df['BMI'] = df['Weight(kg)'] / (df['Height(m)'] ** 2)

df
Out[22]: 
    Name  Height(m)  Weight(kg)        BMI
0    Joe       1.82       72.57  21.908586
1   Mary       1.60       63.50  24.804687
2   Dion       1.90       90.71  25.127424
3  Kayla       1.72       66.31  22.414143
4   Jose       1.78       70.23  22.165762
5  Sofia       1.63       65.12  24.509767
6   Erik       1.98       92.21  23.520559
7   Sara       1.57       65.77  26.682624

# use the describe() method to, well, *describe* the numerical columns in your file
df.describe()
Out[23]: 
       Height(m)  Weight(kg)        BMI
count   8.000000    8.000000   8.000000
mean    1.750000   73.302500  23.891694
std     0.147067   11.583038   1.680321
min     1.570000   63.500000  21.908586
25%     1.622500   65.607500  22.352048
50%     1.750000   68.270000  24.015163
75%     1.840000   77.105000  24.885372
max     1.980000   92.210000  26.682624

我将意味着，最大值和分钟作为练习留给你：）

如何使用列中的数据来查找平均值，最大值，最小值等？

1 个答案: