python 如何读、写、解析CSV文件

Passenger,Id,Survived,Pclass,Name,Sex.Age
1,0,3 Braund, Mr. Owen Harris ,male, 22
2,1,1 Cumings, Mrs. John Bradley (Florence Briggs Thayer), female,38
3,1,3 Heikkinen, Miss. Laina ,female, 26
4,1,1 Futrelle, Mrs. Jacques Heath (Lily May Peel),female,35

import csv

import csv 
 
with open('Titanic.csv','r') as csv_file: #Opens the file in read mode
  csv_reader = csv.reader(csv_file) # Making use of reader method for reading the file
 
  for line in csv_reader: #Iterate through the loop to read line by line
    print(line)

import csv
 
with open('Titanic.csv', 'r') as csv_file:
  csv_reader = csv.reader(csv_file)
 
  with open('new_Titanic.csv', 'w') as new_file: # Open a new file named 'new_titanic.csv' under write mode
    csv_writer = csv.writer(new_file, delimiter=';') #making use of write method
 
    for line in csv_reader: # for each file in csv_reader
      csv_writer.writerow(line) #writing out to a new file from each line of the original file

import csv 
 
with open('Titanic.csv','r') as csv_file: #Open the file in read mode
  csv_reader = csv.DictReader(csv_file) #use dictreader method to reade the file in dictionary
 
  for line in csv_reader: #Iterate through the loop to read line by line
    print(line)

import csv 
 
mydict = [{'Passenger':'1', 'Id':'0', 'Survived':'3'}, #key-value pairs as dictionary obj
     {'Passenger':'2', 'Id':'1', 'Survived':'1'},
     {'Passenger':'3', 'Id':'1', 'Survived':'3'}]
 
fields = ['Passenger', 'Id', 'Survived'] #field names
 
filename = 'new_Titanic.csv' #name of csv file
 
with open('new_Titanic.csv', 'w')as new_csv_file: #open a new file 'new_titanic,csv' under write mode
  writer = csv.DictWriter(new_csv_file, fieldnames=fields) 
  writer.writeheader() #writing the headers(field names)
 
  writer.writerows(mydict) #writing data rows

import pandas #install pandas package
 
result = pandas.read_csv('Titanic.csv') #read the csv file
 
print(result) # print result