Python 实训 1 计算 iris 数据值的均值python小聂的奋斗之旅-

又得到徒弟的求救，让我帮他做作业，现在的大学生到底是怎么了？？？

Python这门课，学起来挺有意思的，自己咋不学着敲代码呢？老是来让我帮

你写，那就再写一次吧，帮你写个作业没问题，看完答案给个赞啊要记得！

答案源码：

复制拿走,

留下你的赞 ！！！

谢谢。。。

注：在此提醒各大学生，复制拿走之后修改一下里面的变量什么的，至少把一些名字改了吧，要不然你们班太多学生拿了这答案怕你们老师发现雷同就不好了呢~

其实是收到粉丝的求助，要我写这题的答案，我就找我徒弟要了题目。来帮你们完成。

import csv import numpy as np fileN = 'C:\Users\HP\Desktop\iris.csv' with open(fileN,'r') as FileN:     reader = csv.DictReader(FileN)     Sepal1 = [row['Sepal.Length'] for row in reader]     Sepal_1 = [] for col1 in Sepal1:         Sepal_1.append(float(col1))     FileN.close() print(np.mean(Sepal_1)) with open(fileN, 'r') as FileN:     reader = csv.DictReader(FileN)     Sepal2 = [row['Sepal.Width'] for row in reader]     Sepal_2 = [] for col2 in Sepal2:         Sepal_2.append(float(col2))     FileN.close() print(np.mean(Sepal_2)) with open(fileN, 'r') as FileN:     reader = csv.DictReader(FileN)     Petal1 = [row['Petal.Length'] for row in reader]     Petal_1 = [] for col3 in Petal1:         Petal_1.append(float(col3))     FileN.close() print(np.mean(Petal_1)) with open(fileN, 'r') as FileN:     reader = csv.DictReader(FileN)     Petal2 = [row['Petal.Width'] for row in reader]     Petal_2 = [] for col4 in Petal2:         Petal_2.append(float(col4))     FileN.close() print(np.mean(Petal_2)) with open(fileN, 'r') as FileN:     reader = csv.DictReader(FileN)     iris1 = [iris_item for iris_item in reader]  file_name = 'C:\Users\HP\Desktop\my_iris.csv' my_key = [] for i in iris1[0].keys():     my_key.append(i) with open(file_name, 'w', newline = '') as f:     write_csv = csv.DictWriter(f, my_key)     write_csv.writeheader()     write_csv.writerows(iris1)   csvFile = open("C:\Users\HP\Desktop\my_iris.csv", "a") fileheader = ["Sepal.Length平均值"] dict_writer = csv.DictWriter(csvFile, fileheader) dict_writer.writerow(dict(zip(fileheader, fileheader))) dict_writer.writerow({"Sepal.Length平均值": np.mean(Sepal_1)})  fileheader = ["Sepal.Width平均值"] dict_writer = csv.DictWriter(csvFile, fileheader) dict_writer.writerow(dict(zip(fileheader, fileheader))) dict_writer.writerow({"Sepal.Width平均值": np.mean(Sepal_2)})  fileheader = ["Petal.Length平均值"] dict_writer = csv.DictWriter(csvFile, fileheader) dict_writer.writerow(dict(zip(fileheader, fileheader))) dict_writer.writerow({"Petal.Length平均值": np.mean(Petal_1)})  fileheader = ["Petal.Width平均值"] dict_writer = csv.DictWriter(csvFile, fileheader) dict_writer.writerow(dict(zip(fileheader, fileheader))) dict_writer.writerow({"Petal.Width平均值": np.mean(Petal_2)}) csvFile.close() 

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