想要读取一个文件并使用 python 写入现有的 excel 表

Question

[enter image description here][1]I have a text file with data delimited qith a pipe delimiter, i want to write it to an excel sheet.

I have created a code but it is taking around 700 seconds to execute since the data in the input file is large(about 45kb). Is there any way to optimize it?

Thanks

Please find the code as follows:

import csv
from time import process_time


def create_sheet():
    wb1 = Workbook()
    wb1.create_sheet("A")
    wb1.create_sheet("B")
    src_sheet = wb1.create_sheet("C")
    print(type(src_sheet))
    wb1.create_sheet("D")
    sheet = wb1['Sheet']
    wb1.remove(sheet)
    write_Data(src_sheet)
    wb1.save('outfile.xlsx')


def write_Data(src_sheet):
    csv.register_dialect('myDialect', delimiter='|', quoting=csv.QUOTE_ALL)
    data_list = []
    with open("C:/Users/atapadar/input_text.txt",
              "r") as csvfile:
        reader = csv.reader(csvfile, dialect='myDialect')
        count: int = 1
        for i in reader:
            if count == 1:
                i.append("New col")
            else:
                i.append(i[0] + i[1] + i[3])
            count = count + 1
            src_sheet.append(i)



t1_start = process_time()

create_sheet()

t1_stop = process_time()
print("Elapsed time during the whole program in seconds:", t1_stop - t1_start)


  [1]: https://i.stack.imgur.com/X9iMQ.png

Answer 1

Doing this via dataframes would be much simpler:

df = pd.read_csv("filename.csv", sep="|")
df['New col'] = int(df['C1']) + int(df['C2']) + int(df['C3'])

df.to_excel("output.xlsx", sheet_name='Sheet_name_1')