Python 3.5 | 拆分列表并导出到Excel或CSV

Question

I scrape a website with Python 3.5 (BeautifulSoup) and the result is a list. The values are stored in a variable called "project_titles".

The values look like:

project_titles = ['I'm Back. Raspberry Pi unique Case for your Analog Cameras', 'CitizenSpring - App to crowdsource & map safe drinking water', 'Shoka Bell: The Ultimate City Cycling Tool']

I want to split the values at the comma and export this to an Excel file or CSV.

I need the values in an Excel like:

• Cell A1: I'm Back. Raspberry Pi unique Case for your Analog Cameras
• Cell B1: CitizenSpring - App to crowdsource & map safe drinking water
• Cell C1: Shoka Bell: The Ultimate City Cycling Tool

Answer 1

Since you already have a list of strings conforming to the columns required in your CSV file you can simply write the list out using the csv module:

import csv

project_titles = ["I'm Back. Raspberry Pi unique Case for your Analog Cameras", 'CitizenSpring - App to crowdsource & map safe drinking water', 'Shoka Bell: The Ultimate City Cycling Tool']

with open('projects.csv', 'w') as f:
    csv.writer(f).writerow(project_titles)

After running this code the output CSV file would contain:

I'm Back. Raspberry Pi unique Case for your Analog Cameras,CitizenSpring - App to crowdsource & map safe drinking water,Shoka Bell: The Ultimate City Cycling Tool

which you can import into Excel.

Answer 2

Since project_titles is already a list containing the strings you want, it's easy to use pandas (can be installed together with one of the scientific Python distributions, see scipy.org ) with the following short code:

import pandas as pd

project_titles = ["I'm Back. Raspberry Pi unique Case for your Analog Cameras", 
               'CitizenSpring - App to crowdsource & map safe drinking water', 
               'Shoka Bell: The Ultimate City Cycling Tool']


d = pd.DataFrame(project_titles)
writer = pd.ExcelWriter('data.xlsx') 
d.to_excel(writer, 'my_data', index=False, header=False) 
writer.save()

Answer 3

You can try a very simple code

project_titles = ["I'm Back. Raspberry Pi unique Case for your Analog Cameras", 'CitizenSpring - App to crowdsource & map safe drinking water', 'Shoka Bell: The Ultimate City Cycling Tool']

with open('data.csv',"w") as fo:
    fo.writelines(",".join(project_titles))