TypeError:需要一个类似字节的对象,而不是python和CSV中的'str' [英] TypeError: a bytes-like object is required, not 'str' in python and CSV
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问题描述
TypeError:需要类似字节的对象,而不是'str'
而执行下面的python代码将HTML表格数据保存在Csv文件中。不知道如何获取rideup.pls帮助我。
import csv
import requests
bs4 import BeautifulSoup
url ='http://www.mapsofindia.com/districts-india/'
response = requests.get(url)
html = response.content
soup = BeautifulSoup(html,'html.parser')
table = soup.find('table',attrs = {'class':'tableizer-table'})
list_of_rows = []
for table.findAll('tr')[1:]:
list_of_cells = []
在row.findAll('td')中的单元格:
list_of_cells.append(cell.text)
list_of_rows.append(list_of_cells)
outfile = open('./ immates.csv','wb')
writer = csv。作者(outfile)
writer.writerow([SNo,States,Dist,Population])
writer.writerows(list_of_rows)
解决方案您使用的是Python 2方法,而不是Python 3.
更改:
outfile = open('./ immates.csv','wb')
outfile = open('./ immates.csv','w')
,您会得到一个包含以下输出的文件:
SNo,States,Dist,Population
1,Andhra Pradesh,13,49378776
2,Arunachal Pradesh,16,1382611
3,Assam,27,31169272
4 ,Bihar,38,103804637
5,Chhattisgarh,19,25540196
6,Goa,2,1457723
7,Gujarat,26,60383628
.....
在Python 3中,csv采用文本模式输入,而在Python 2中采用二进制模式。 / p>
已编辑为
url ='http://www.mapsofindia.com/districts-india/'
html = urllib.request.urlopen url).read()
soup = BeautifulSoup(html)
table = soup.find('table',attrs = {'class':'tableizer-table'})
list_of_rows = []
for row in table.findAll('tr')[1:]:
list_of_cells = []
用于row.findAll('td')中的单元格:
list_of_cells.append(cell.text)
list_of_rows.append(list_of_cells)
outfile = open('./ immates.csv','w')
writer = csv.writer
writer.writerow(['SNo','States','Dist','Population'])
writer.writerows(list_of_rows)
TypeError: a bytes-like object is required, not 'str'
getting above error while Executing below python code to save the HTML table data in Csv file. don't know how to get rideup.pls help me.
import csv import requests from bs4 import BeautifulSoup url='http://www.mapsofindia.com/districts-india/' response=requests.get(url) html=response.content soup=BeautifulSoup(html,'html.parser') table=soup.find('table', attrs={'class':'tableizer-table'}) list_of_rows=[] for row in table.findAll('tr')[1:]: list_of_cells=[] for cell in row.findAll('td'): list_of_cells.append(cell.text) list_of_rows.append(list_of_cells) outfile=open('./immates.csv','wb') writer=csv.writer(outfile) writer.writerow(["SNo", "States", "Dist", "Population"]) writer.writerows(list_of_rows)
on above the last line.
解决方案You are using Python 2 methodology instead of Python 3.
Change:
outfile=open('./immates.csv','wb')
To:
outfile=open('./immates.csv','w')
and you will get a file with the following output:
SNo,States,Dist,Population 1,Andhra Pradesh,13,49378776 2,Arunachal Pradesh,16,1382611 3,Assam,27,31169272 4,Bihar,38,103804637 5,Chhattisgarh,19,25540196 6,Goa,2,1457723 7,Gujarat,26,60383628 .....
In Python 3 csv takes the input in text mode, whereas in Python 2 it took it in binary mode.
Edited to Add
Here is the code I ran:
url='http://www.mapsofindia.com/districts-india/' html = urllib.request.urlopen(url).read() soup = BeautifulSoup(html) table=soup.find('table', attrs={'class':'tableizer-table'}) list_of_rows=[] for row in table.findAll('tr')[1:]: list_of_cells=[] for cell in row.findAll('td'): list_of_cells.append(cell.text) list_of_rows.append(list_of_cells) outfile = open('./immates.csv','w') writer=csv.writer(outfile) writer.writerow(['SNo', 'States', 'Dist', 'Population']) writer.writerows(list_of_rows)
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