Python操作CSV格式文件的方法大全

#方式一
import csv
with open("D:\\test.csv") as f:
    reader = csv.reader(f)
    rows=[row for row in  reader]
    print(rows[0])


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#方式二
import csv
with open("D:\\test.csv") as f:
    #1.创建阅读器对象
    reader = csv.reader(f)
    #2.读取文件第一行数据
    head_row=next(reader)
    print(head_row)

#1.获取文件某一列数据
import csv
with open("D:\\test.csv") as f:
    reader = csv.reader(f)
    column=[row[0] for row in  reader]
    print(column)

#1.向csv文件中写入数据
import csv
with open("D:\\test.csv",'a') as f:
     row=['曹操','23','学生','黑龙江','5000']
     write=csv.writer(f)
     write.writerow(row)
     print("写入完毕！")

import csv
with open("D:\\test.csv") as f:
    #1.创建阅读器对象
    reader = csv.reader(f)
    #2.读取文件第一行数据
    head_row=next(reader)
    print(head_row)
    #4.获取文件头及其索引
    for index,column_header in enumerate(head_row):
        print(index,column_header)

# ['姓名', '年龄', '职业', '家庭地址', '工资']
import csv
with open("D:\\test.csv") as f:
    reader = csv.reader(f)
    header_row=next(reader)
    # print(header_row)
    salary=[]
    for row in reader:
        #把第五列数据保存到列表salary中
         salary.append(int(row[4]))
    print(salary)
    print("员工最高工资为："+str(max(salary)))

import csv
f=open('test.csv')
#1.newline=''消除空格行
aim_file=open('Aim.csv','w',newline='')
write=csv.writer(aim_file)
reader=csv.reader(f)
rows=[row for row in reader]
#2.遍历rows列表
for row in rows:
    #3.把每一行写到Aim.csv中
    write.writerow(row)

 import pandas as pd
path= 'D:\\test.csv'
with open(path)as file:
    data=pd.read_csv(file)
    print(data)

import pandas as pd
path= 'D:\\test.csv'
with open(path)as file:
    data=pd.read_csv(file)
    #了解更多describe()知识，ctr+鼠标左键
    print(data.describe())

import pandas as pd
path= 'D:\\test.csv'
with open(path)as file:
    data=pd.read_csv(file)
    #读取前2行数据
    # head_datas = data.head(0)
    head_datas=data.head(2)
    print(head_datas)

import pandas as pd
path= 'D:\\test.csv'
with open(path)as file:
    data=pd.read_csv(file)
    #读取第一行所有数据
    print(data.ix[0,])

import pandas as pd
path= 'D:\\test.csv'
with open(path)as file:
    data=pd.read_csv(file)
    #读取第一行、第二行、第四行的所有数据
    print(data.ix[[0,1,3],:])

import pandas as pd
path= 'D:\\test.csv'
with open(path)as file:
    data=pd.read_csv(file)
    #读取所有行和列数据
    print(data.ix[:,:])

import pandas as pd
path= 'D:\\test.csv'
with open(path)as file:
    data=pd.read_csv(file)
    # print(data.ix[:, 4])
    print(data.ix[:,'工资'])

import pandas as pd
path= 'D:\\test.csv'
with open(path)as file:
    data=pd.read_csv(file)
    print(data.ix[[0,1,3],['姓名','职业','工资']])

import pandas as pd
path= 'D:\\test.csv'
with open(path)as file:
    data=pd.read_csv(file)
    #读取第三行的第三列
    print("职业---"+data.ix[2,2])

import pandas as pd
#1.读入数据
data=pd.read_csv(file)

import pandas as pd
#1.写出数据，目标文件是Aim.csv
data.to_csv('Aim.csv')

01.读取网络数据：
import pandas as pd 
data_url = "https://raw.githubusercontent.com/mwaskom/seaborn-data/master/tips.csv"
#填写url读取
df = pd.read_csv(data_url)


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02.读取excel文件数据
import pandas as pd 
data = pd.read_excel(filepath)

import pandas as pd
file=open('test.csv')
#1.读取file中的数据
data=pd.read_csv(file)
#2.把data写到目标文件Aim.csv中
data.to_csv('Aim.csv')
print(data)