使用 Pandas Python 编写 CSV 文件

Question

I did a python script to access a site, and on that site do a certain search for me to do a scan of the search result.

I write the return of the result as txt

clear = self.browser.find_elements_by_class_name('Whitebackground')
for scrape in clear:
    with open('result.txt', 'a') as writer:
         writer.write(scrape.text)
         writer.write('\n')
         writer.close()

I want to return the result in CSV to open in Excel

clear = self.browser.find_elements_by_class_name('Whitebackground')
    for scrape in clear:
        with open('result.csv', 'a') as writer:
             writer.write(scrape.text)
             writer.write('\n')
             writer.close()

My problem is that I have to fill 4 columns

I get my current result that way

656473930362736
The car needs to change the oil
Model: sedan
type of fuel: Gasoline

I want to receive my result in CSV in this way

'Number'; 'description'; 'Model'; 'Type of fuel'
6564...; The car needs..; sedan ; Gasoline

'Number' , 'description' , 'Model' , ' Type of fuel' would be the titles by columns

'6564...' , 'The car needs...' , 'sedan' , 'Gasoline' Would be the rows of the columns

does anyone have any idea how I can do this??

Answer 1

if you can convert your data into dictionaries, its super easy:

data = []
datapoint = {}
datapoint['Number'] = 656473930362736
datapoint['Description'] = "The car needs to change the oil."
datapoint['Model'] = "Sedan"
datapoint['Type of Fuel'] = "Gasoline"
data.append(datapoint)

fieldnames = ['Number','Description','Model','Type of Fuel']

def filewriter(filename, data, fieldnames):
        with open (filename, "w", newline='', encoding='utf-8-sig') as csvfile:
                csvfile = csv.DictWriter(csvfile, fieldnames=fieldnames, delimiter=',', dialect='excel')
                csvfile.writeheader()
                for row in data:
                        csvfile.writerow(row)

filewriter("out.csv", data, fieldnames)

converting your data into dictionaries is a separate problem, but should be no big deal if your data is structured well.

Answer 2

Simply parse your text by splitting into elements:

txt = "656473930362736\n" \
       "The car needs to change the oil\n" \
       "Model: sedan\n" \
       "type of fuel: Gasoline"

list_of_elements = txt.split('\n')
required_text = list_of_elements[0] + ';' + list_of_elements[1] + ';' list_of_elements[2].split(':')[1] + ';' + list_of_elements[3].split(':') + ';'
file.write(required_text + '\n')