1016 Phone Bills (25)

本文详细解析了一种基于时间的电话计费系统,系统根据不同的时间段收取不同的费用。通过输入电话记录和费率结构,系统能准确计算每个客户的月度账单,包括每次通话的开始和结束时间、持续时间和费用。

1016 Phone Bills (25)
A long-distance telephone company charges its customers by the following rules:

Making a long-distance call costs a certain amount per minute, depending on the time of day when the call is made. When a customer starts connecting a long-distance call, the time will be recorded, and so will be the time when the customer hangs up the phone. Every calendar month, a bill is sent to the customer for each minute called (at a rate determined by the time of day). Your job is to prepare the bills for each month, given a set of phone call records.

Input Specification:

Each input file contains one test case. Each case has two parts: the rate structure, and the phone call records.

The rate structure consists of a line with 24 non-negative integers denoting the toll (cents/minute) from 00:00 - 01:00, the toll from 01:00

02:00, and so on for each hour in the day.
The next line contains a positive number N (<= 1000), followed by N lines of records. Each phone call record consists of the name of the customer (string of up to 20 characters without space), the time and date (mm:dd:hh:mm), and the word “on-line” or “off-line”.

For each test case, all dates will be within a single month. Each “on-line” record is paired with the chronologically next record for the same customer provided it is an “off-line” record. Any “on-line” records that are not paired with an “off-line” record are ignored, as are “off-line” records not paired with an “on-line” record. It is guaranteed that at least one call is well paired in the input. You may assume that no two records for the same customer have the same time. Times are recorded using a 24-hour clock.

Output Specification:

For each test case, you must print a phone bill for each customer.

Bills must be printed in alphabetical order of customers’ names. For each customer, first print in a line the name of the customer and the month of the bill in the format shown by the sample. Then for each time period of a call, print in one line the beginning and ending time and date (dd:hh:mm), the lasting time (in minute) and the charge of the call. The calls must be listed in chronological order. Finally, print the total charge for the month in the format shown by the sample.

Sample Input:

10 10 10 10 10 10 20 20 20 15 15 15 15 15 15 15 20 30 20 15 15 10 10 10
10
CYLL 01:01:06:01 on-line
CYLL 01:28:16:05 off-line
CYJJ 01:01:07:00 off-line
CYLL 01:01:08:03 off-line
CYJJ 01:01:05:59 on-line
aaa 01:01:01:03 on-line
aaa 01:02:00:01 on-line
CYLL 01:28:15:41 on-line
aaa 01:05:02:24 on-line
aaa 01:04:23:59 off-line
Sample Output:

CYJJ 01
01:05:59 01:07:00 61 12.10Totalamount:12.10Totalamount:12.10
CYLL 01
01:06:01 01:08:03 122 24.4028:15:4128:16:052424.4028:15:4128:16:05243.85
Total amount: 28.25aaa0102:00:0104:23:59431828.25aaa0102:00:0104:23:594318638.80
Total amount: $638.80

解题思路:
排序以后判断有效记录,然后输出,参考算法笔记。

#include<cstdio>
#include<cstring>
#include<algorithm>
using namespace std;
const int maxn=1010;
int toll[25];   //每个小时资费 
struct Record{
    char  name[25];
    int month,dd,hh,mm;
    bool status;    //true表示online 
}rec[maxn],temp;

bool cmp(Record a,Record b){
    if(strcmp(a.name ,b.name )!=0)
        return strcmp(a.name ,b.name )<0;
    else if (a.month !=b.month) 
        return a.month <b.month ;
    else if(a.dd !=b.dd )
        return a.dd<b.dd ;
    else if (a.hh !=b.hh )
        return a.hh <b.hh ;
    else
        return a.mm <b.mm ; 
}
void get_ans(int on,int off,int &time,int &money){
    temp=rec[on];
    while(temp.dd <rec[off].dd ||temp.hh <rec[off].hh ||temp.mm <rec[off].mm ){
        time++;
        money+=toll[temp.hh];
        temp.mm++;
        if(temp.mm>=60){
            temp.mm=0;
            temp.hh++;
        }
        if(temp.hh>=24){
            temp.hh=0;
            temp.dd ++;
        }
    }
}
int main(){
    for(int i=0;i<24;i++)
        scanf("%d",&toll[i]);
    int n;
    char line[10];
    scanf("%d",&n);
    for(int i=0;i<n;i++){
        scanf("%s",rec[i].name);
        scanf("%d:%d:%d:%d",&rec[i].month,&rec[i].dd ,&rec[i].hh ,&rec[i].mm  );
        scanf("%s",line);
        if(strcmp(line,"on-line")==0){
            rec[i].status =true;
        }else{
            rec[i].status =false;
        }
    }
    sort(rec,rec+n,cmp);
    int on=0,off,next;
    while(on<n){
        int needprint=0;
        next=on;
        while(next<n&&strcmp(rec[next].name ,rec[on].name)==0){
            if(needprint==0&&rec[next].status ==true)
                needprint=1;
            else if(needprint==1&&rec[next].status ==false)
                needprint=2;
            next++;
        }
        if(needprint<2) {
            on=next;
            continue;
        }
        int allmoney=0;
        printf("%s %02d\n",rec[on].name ,rec[on].month);
        while(on<next){
            while(on<next-1&&!(rec[on].status ==true&&rec[on+1].status ==false)){
                on++;
            }
            off=on+1;
            if(off==next){
                on=next;
                break;
            }
            printf("%02d:%02d:%02d ",rec[on].dd ,rec[on].hh ,rec[on].mm );
            printf("%02d:%02d:%02d ",rec[off].dd ,rec[off].hh ,rec[off].mm );
            int time=0,money=0;
            get_ans(on,off,time,money);
            allmoney+=money;
            printf("%d $%.2f\n",time,money/100.0);
            on =off+1;
        }
        printf("Total amount: $%.2f\n",allmoney/100.0);
    }
    return 0;
}
要对每月的话费金额进行分布分析并绘制图形展示,我们可以使用Python的数据分析库pandas和数据可视化库matplotlib。首先,假设你有一个包含每个月话费数据的CSV文件或列表,数据结构可能是这样的: ```python data = { 'Month': ['Jan', 'Feb', 'Mar', ..., 'Nov', 'Dec'], # 月份 'Phone_Fees': [50, 75, 100, ..., 80, 95] # 每月话费 } ``` 以下是一步步操作的示例: 1. **导入必要的库**: ```python import pandas as pd import matplotlib.pyplot as plt ``` 2. **加载数据** (这里假设已经读取了CSV文件): ```python df = pd.read_csv('monthly_phone_bill.csv') # 替换为你的文件路径 ``` 3. **检查数据**: ```python print(df.head()) # 查看前几行数据 ``` 4. **描述性统计分析**: ```python summary_stats = df['Phone_Fees'].describe() # 计算费用分布的统计数据(如平均值、标准差等) print(summary_stats) ``` 5. **绘制直方图**: ```python plt.figure(figsize=(10, 6)) # 设置图表大小 plt.hist(df['Phone_Fees'], bins=range(0, max(df['Phone_Fees']) + 50, 50), # 分布区间范围和间距 alpha=0.5, # 阴影效果 edgecolor='black', # 边框颜色 label='Monthly Phone Fees') plt.title('Distribution of Monthly Phone Bills') plt.xlabel('Amount') plt.ylabel('Frequency') plt.legend() plt.show() ``` 6. **绘制箱线图**: ```python plt.boxplot(df['Phone_Fees'], vert=False, labels=df['Month']) plt.title('Box plot of Monthly Phone Bills') plt.yticks(range(1, len(df['Month']) + 1), df['Month']) plt.grid(axis='x') plt.show() ``` 这将生成一个显示话费分布的图形,你可以根据实际需求选择合适的图表类型。如果你的数据不在CSV文件中,也可以直接使用pandas DataFrame的方式处理。
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