A few days ago, I found a giant artificial intelligence learning e-book,通俗易懂,風趣幽默,無廣告,忍不住分享一下給大家.（點擊跳轉人工智能學習資料）
一、題目
附件sensor-data.txtis a sensor acquisition data file,其中,每行是一個讀數,空格分隔多個含義,分別包括日期、時間、溫度、濕度、光照和電壓.其中,光照處於第5列.請編寫程序,統計並輸出傳感器采集數據中光照部分的最大值、最小值和平均值,所有值保留小數點後2位.
二、題目分析
打開txt文件可以發現,Each row has a string containing the date、時間、溫度、Humidity light and voltage data,用空格隔開,We can use a two-dimensional list,每次讀取一行,Separate by spaces,into a one-dimensional list,Then put the one-dimensional list into a two-dimensional list.After traversing the file,We've already stored all the data in a two-dimensional list,Next, iterate over this two-dimensional list,先定義一個max=0,min=10000,Then if you encounter a ratio when traversingmaxbig number,就更新max,如果遇到比min小的數,就更新min,另外我們用sumAdd all the data,And record the number of data,最後只需要輸出max和minYou can get the maximum and minimum values,輸出sum/cnt就可以得到平均值,我們可以通過%.2fControl retains two decimal places.最後記得要關閉文件！
In fact, there is another way to do this,Pass these list data throughnumpy,然後通過numpy中的max,min和meanThe function gets the maximum, minimum and average values.
三、源碼
list=[[]]
max =avg =cnt=0
min=10000
with open("sensor-data.txt","r")as file:
for line in file.readlines():
line=line.strip('\n')
list.append(line.split(" "))
list.remove([])
for templist in list:
print(type(templist))
if max<float(templist[4]):
max=float(templist[4])
if min>float(templist[4]):
min=float(templist[4])
avg+=float(templist[4])
cnt+=1
print(max)
print(min)
print("%.2f"%(avg/cnt))
file.close()
四、實驗結果
