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試題1：計(jì)算1-1/2 1/3-1/4… 1/99-1/100。double  sum =0;         int i =1;for(i=1;i<101;i =1){if(i%2 ==1)           {sum =1.0/i;        }else                      {sum-=1.0/i；       }}printf("sum=%lf\n",sum);           試題2：編程模擬一個(gè)計(jì)算機(jī)扔骰子，每次出現(xiàn)的骰子點(diǎn)數(shù)用隨機(jī)函數(shù)產(chǎn)生（1，2，3，4，5，6），投擲100次骰子，試分別統(tǒng)計(jì)各點(diǎn)數(shù)出現(xiàn)的次數(shù)。<span style="font-size:18px;">int num1=0, num2=0, num3=0, num4=0, num5=0, num6=0;            Random random = new Random();            for (int i = 0; i < 100; i  )            {                 int num = random.Next(1, 7);                switch (num) {                     case 1:                        num1  ;                        break;                    case 2:                        num2  ;                        break;                    case 3:                        num3  ;                        break;                    case 4:                        num4  ;                        break;                    case 5:                        num5  ;                        break;                    case 6:                        num6  ;                        break;                }                            }            Console.WriteLine(num1);            Console.WriteLine(num2);            Console.WriteLine(num3);            Console.WriteLine(num4);            Console.WriteLine(num5);            Console.WriteLine(num6);</span>試題3：用隨機(jī)數(shù)生成一個(gè)3*3矩陣，然后求對(duì)角線元素之和。import matplotlib.pyplot as pltimport pylabimport cv2import numpy as npimg = plt.imread("1.png")      #plt.imshow(img)          #pylab.show()for i in range(1,200):# fil = np.random.randint(0, 10, size=[3, 3]) fil = -1   2*np.random.random((3,3)n = [int(i) for i in str.split(' ')]  mx = []  for i in range(3):    mt = []        for j in range(3):            mt.append(n[i*3   j])    mx.append(mt)  sum1 = 0sum2 = 0for i in range(3):    sum1  = mx[i][i]    sum2  = mx[2-i][i]print('\方向?qū)蔷€3元素之和為：%s' % sum1)print('/方向?qū)蔷€3元素之和為：%s' % sum2)試題4：文件weather.csv中的數(shù)據(jù) 是2019年3月全國(guó)重點(diǎn)城市空氣質(zhì)量指數(shù)排行榜，試完成如下操作：1.統(tǒng)計(jì)“空氣質(zhì)量狀況”各種情況出現(xiàn)的頻次，例如嚴(yán)重污染、輕度污染等出現(xiàn)的次數(shù)分別是多少?3.輸出福建省、廣東省所對(duì)應(yīng)的城市的PM2.5數(shù)值，以及空氣質(zhì)量狀況。1.統(tǒng)計(jì)天氣情況from urllib.request import urlopenfrom bs4 import BeautifulSoupimport reimport numpyimport csvdef getdatawithtablehead(url):      html=urlopen(url)    bsobj=BeautifulSoup(html,"lxml")    tablelist=bsobj.findAll("tr")     Dataset=[]    tablehead=tablelist[0].get_text().strip("\n").split("\n\n")    Dataset.append(tablehead)     for datalist in tablelist[1:]:        data=datalist.get_text().replace(" ","").replace("\n\r","").        strip("\n").split("\n")        Dataset.append(data)     return Dataset

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