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个人昵称：lxw-pro
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分析班级BMI指数

n = int(input("请您输入您想测算的人数（用数字表示）："))
for i in range(n):
    classBmi = input("请输入姓名、身高和体重（中间以空格隔开）：").split(' ')
    name = classBmi[0]
    height = eval(classBmi[1])
    weight = eval(classBmi[2])

    bmi = weight / pow(height, 2)
    print("BMI数值为：{:.2f}".format(bmi))
    who, nat = "", ""

    if bmi < 18.5:
        who, nat = "偏瘦", "偏瘦"
    elif 18.5 <= bmi < 24:
        who, nat = "正常", "正常"
    elif 24 <= bmi < 25:
        who, nat = "正常", "偏胖"
    elif 25 <= bmi < 28:
        who, nat = "偏胖", "偏胖"
    elif 28 <= bmi < 30:
        who, nat = "偏胖", "偏胖"
    else:
        who, nat = "肥胖", "肥胖"
    print('{0}的BMI数值为{1}, BMI指标为：国际"{2}", 国内"{3}"'.format(name, format(bmi, '.2f'), who, nat))

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运行效果如下：

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分析年级BMI指数

gradeBmis = [[('20级大数据一班', "王平", 1.66, 55), ('20级大数据一班', '王恰', 1.65, 52), ('20级大数据一班', '周馓', 1.75, 66)],
             [('20级大数据二班', "仁济", 1.66, 64), ('20级大数据二班', '范德萨', 1.72, 66), ('20级大数据二班', '陈琳', 1.76, 56)]]


for classes in gradeBmis:
    print("\n---------------班级分割线----------------")
    for person in classes:
        className, name, height, weight = person[0], person[1], person[2], person[3]
        who, nat = "", ""
        bmi = weight / pow(height, 2)

        if bmi < 18.5:
            who, nat = "偏瘦", "偏瘦"
        elif 18.5 <= bmi < 24:
            who, nat = "正常", "正常"
        elif 24 <= bmi < 25:
            who, nat = "正常", "偏胖"
        elif 25 <= bmi < 28:
            who, nat = "偏胖", "偏胖"
        elif 28 <= bmi < 30:
            who, nat = "偏胖", "偏胖"
        else:
            who, nat = "肥胖", "肥胖"
        print('{0}{1}的BMI数值为{2}, BMI指标为：国际"{3}", 国内"{4}"'.format(className, name, format(bmi, '.2f'), who, nat))

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运行效果如下：

————————————————————————————————————————————

Pandas 每日一练：

# -*- coding = utf-8 -*-
# @Time : 2022/7/28 20:34
# @Author : lxw_pro
# @File : pandas-10 练习.py
# @Software : PyCharm

import pandas as pd

lxw = pd.read_excel("site.xlsx")
print(lxw)
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运行结果为：

     Unnamed: 0  Unnamed: 0.1   create_dt  ...   yye  sku_cost_prc     lrl
0             0             1  2016-11-30  ...   8.8          6.77  30.00%
1             1             2  2016-11-30  ...   7.5          5.77  30.00%
2             2             3  2016-11-30  ...   5.0          3.85  30.00%
3             3             4  2016-11-30  ...  19.6          7.54  30.00%
4             4             5  2016-12-02  ...  13.5         10.38  30.00%
..          ...           ...         ...  ...   ...           ...     ...
751         751           752  2016-12-31  ...   1.0          0.77  30.00%
752         752           753  2016-12-31  ...   2.0          1.54  30.00%
753         753           754  2016-12-31  ...   1.0          0.77  30.00%
754         754           755  2016-12-31  ...   7.6          2.92  30.00%
755         755           756  2016-12-31  ...   3.3          2.54  30.00%
[756 rows x 8 columns]
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61、以lxw的列名创建一个dataframe

lm = pd.DataFrame(columns=lxw.columns.to_list())
print(lm)
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运行结果为：

Empty DataFrame
Columns: [Unnamed: 0, Unnamed: 0.1, create_dt, sku_cnt, sku_sale_prc, yye, sku_cost_prc, lrl]
Index: []
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62、打印所有利润率不是数字的行

for i in range(len(lxw)):
    if type(lxw.iloc[i, 6]) != float:
        lm = lm.append(lxw.loc[i])
print(lm)
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运行结果为：

    Unnamed: 0 Unnamed: 0.1   create_dt  ...   yye  sku_cost_prc     lrl
0            0            1  2016-11-30  ...   8.8          6.77  30.00%
1            1            2  2016-11-30  ...   7.5          5.77  30.00%
2            2            3  2016-11-30  ...   5.0          3.85  30.00%
3            3            4  2016-11-30  ...  19.6          7.54  30.00%
4            4            5  2016-12-02  ...  13.5         10.38  30.00%
..         ...          ...         ...  ...   ...           ...     ...
751        751          752  2016-12-31  ...   1.0          0.77  30.00%
752        752          753  2016-12-31  ...   2.0          1.54  30.00%
753        753          754  2016-12-31  ...   1.0          0.77  30.00%
754        754          755  2016-12-31  ...   7.6          2.92  30.00%
755        755          756  2016-12-31  ...   3.3          2.54  30.00%
[756 rows x 8 columns]
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63、打印所有利润率为30.00%的行

print(lxw[lxw['lrl'].isin(['30.00%'])])
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运行结果为：

     Unnamed: 0  Unnamed: 0.1   create_dt  ...   yye  sku_cost_prc     lrl
0             0             1  2016-11-30  ...   8.8          6.77  30.00%
1             1             2  2016-11-30  ...   7.5          5.77  30.00%
2             2             3  2016-11-30  ...   5.0          3.85  30.00%
3             3             4  2016-11-30  ...  19.6          7.54  30.00%
4             4             5  2016-12-02  ...  13.5         10.38  30.00%
..          ...           ...         ...  ...   ...           ...     ...
751         751           752  2016-12-31  ...   1.0          0.77  30.00%
752         752           753  2016-12-31  ...   2.0          1.54  30.00%
753         753           754  2016-12-31  ...   1.0          0.77  30.00%
754         754           755  2016-12-31  ...   7.6          2.92  30.00%
755         755           756  2016-12-31  ...   3.3          2.54  30.00%
[478 rows x 8 columns]
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64、重置lxw的行号

lxw = lxw.reset_index()
print(lxw)
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运行结果为：

     index  Unnamed: 0  Unnamed: 0.1  ...   yye  sku_cost_prc     lrl
0        0           0             1  ...   8.8          6.77  30.00%
1        1           1             2  ...   7.5          5.77  30.00%
2        2           2             3  ...   5.0          3.85  30.00%
3        3           3             4  ...  19.6          7.54  30.00%
4        4           4             5  ...  13.5         10.38  30.00%
..     ...         ...           ...  ...   ...           ...     ...
751    751         751           752  ...   1.0          0.77  30.00%
752    752         752           753  ...   2.0          1.54  30.00%
753    753         753           754  ...   1.0          0.77  30.00%
754    754         754           755  ...   7.6          2.92  30.00%
755    755         755           756  ...   3.3          2.54  30.00%
[756 rows x 9 columns]
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65、删除所有利润率为30.00%的行

l = []
for i in range(len(lxw)):
    if type(lxw.iloc[i, 6]) != float:
        l.append(i)

sc = lxw.drop(labels=l, inplace=True)
print(sc)
# 运行结果为：None

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每日一言：

在某一个拥挤的地方，人挤人，你不知道方向在哪里，但如果你站的高一点，看的远一点，就知道周遭的种种拥挤对你来说其实毫无意义！！！

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