python csv dataframe_python 使用csv.reader和csv.writer读写文件并转换成dataframe格式

import csv

import pandas as pd

###csv.reader用法

'''

f=open(r"C:Usersadminpycdtestwanyueyueeceshi.csv")

readeriter=csv.reader(f)

for line in readeriter:

print(line)

'''

lines=list(csv.reader(open(r"C:Usersadminpycdtestwanyueyueeceshi.csv")))

header,values=lines[0],lines[1:]

data_dict={h:v for h,v in zip(header,zip(*values))}

#print(data_dict)

df=pd.DataFrame(data_dict)#转换成dataframe格式

'''

#定义csv.Dialect子类，应对不同新csv新格式

class my_dialect(csv.Dialect):

lineterminator='n'#行结束符标识

delimiter=','#分隔符

quotechar='"'#字符串引用约定符

readeriter=csv.reader(f,diaect=my_dialet)

#readeriter=csv.reader(f,delimiter=',')

'''

###csv.writer用法

print(df.head())

rows = df.values

with open('my.csv', 'w+', newline='') as csv_file:

writer = csv.writer(csv_file)

writer.writerow(df.columns)

for row in rows:

writer.writerow(row)