Question

伙计们，希望得到关于处理以下任务的最佳方式的建议：
1.从CSV文件中读取数据。
2.根据步骤1中读取的数据编辑XML文件。

我是一个Python noob。到目前为止，我能够从CSV文件中读取数据。在我的Java世界中，我只是将“读取”数据传递给方法，然后迭代并编辑该方法中的XML文件。
我可以在Python中做类似的事情吗？在Python中是否有更高效，更清晰的方法来实现相同的目标？

import csv

ifile  = open('my-file.csv', "rb")
reader = csv.reader(ifile)

rownum = 0
for row in reader:
    #print row
    if rownum == 0:
        header = row
    else:
        colnum = 0
        name = row[1]
        desig = row[5]
        print("Name: ", name)
        print("Designation: ", desig)


    rownum += 1
    if rownum == 10:
        break

ifile.close()

Answer 1

你的问题有点清晰（你正在寻找的是什么）。无论如何，根据我的理解，您正在寻找一种简单的方法来阅读 csv 文件并打印 ith 特定格式的列（例如名称：...）。我假设您的文件如下所示：

blah,Name,blahblah,blahblahblah,blahblahblahblah,Designation
whatever,name1,whatever,whatever,whatever,Designation1
whatever,name2,whatever,whatever,whatever,Designation2
whatever,name3,whatever,whatever,whatever,Designation3
whatever,name4,whatever,whatever,whatever,Designation4
whatever,name5,whatever,whatever,whatever,Designation5
whatever,name6,whatever,whatever,whatever,Designation6

如果是这样的话，那就是我要做的。我会使用已知的pandas库

import pandas as pd

将csv文件读入数据框＆＃34; df＆＃34;

df = pd.read_csv('my-file.csv')

变量头将保存列名

header = list(df) # the equivilant of your "row[0]" variable

打印所需数据的方法＃1

for i, j in zip(list(df['Name'].values), list(df['Designation'].values)):
    print "Name: {} \nDesignation: {}".format(i, j)

这打印出以下内容：

Name: name1 
Designation: Designation1
Name: name2 
Designation: Designation2
Name: name3 
Designation: Designation3
Name: name4 
Designation: Designation4
Name: name5 
Designation: Designation5
Name: name6 
Designation: Designation6

打印所需数据的方法＃2

df['Name'] = df['Name'].map('Name: {}'.format)
df['Designation'] = df['Designation'].map('Designation: {}'.format)
print df[['Name', 'Designation']].head(n=10)

将打印出以下内容：

0  Name: name1  Designation: Designation1
1  Name: name2  Designation: Designation2
2  Name: name3  Designation: Designation3
3  Name: name4  Designation: Designation4
4  Name: name5  Designation: Designation5
5  Name: name6  Designation: Designation6

Answer 2

与您的解决方案非常相似，只使用merged_list = list([x for x in list_1 if x ]) merged_list.extend(x for x in list_2 if x)和enumerate代替with和open：

close

读写两个文件的最佳方法是什么？

2 个答案: