Python：如何从 csv 中分离字符串和整数的混合？

Question

import os
import csv
import pandas as pd
import itertools


data = r"C:\Users\chase\Documents\Exercise\MA Exercise_20190328-2"
for root, dirs, files in os.walk(data):
    for file in files:
        if file.endswith(".txt"):
            print(os.path.join(root, file))

    df = open("PikesPeak_Males.txt", "r")
    if df.mode == "r":
        contents = df.read()
        print(contents)

    with open("PikesPeak_Males.txt", "r") as in_file:
        stripped = (line.strip() for line in in_file)
        lines = (line.split(",") for line in stripped if line)
        with open("PikesPeak_Males.csv", "w") as out_file:
            writer = csv.writer(out_file)
            writer.writerow(("Place", "Div/Tot", "Number", "Name", "Age", "Hometown", "Gun Time", "Net Time", "Pace"))
            writer.writerows(lines)

So I have a dataset of running times for Racers. I converted the text file to a csv however, I want to split all the data into the following columns "Place", "Div/Tot", "Number", etc... But I am not sure how to do it as there isn't any commas or features to split the lines by. The main goal is to calculate the mean running time of the racers. This is how it looks now:

Example of how I want my csv to look:

PikesPeak_Male.txt

PikesPeakData

Answer 1

Check what are the separators in the .txt file. If they are tabs use tabs as separator when reading the csv:

pd.read_csv("filename.csv", header=None, delimiter=r"\t")

If separators are multiples of spaces first make one pass over the .txt file to convert multiples of spaces to single space or some other character ("\\t",",",...) and then use the chosen character as a separator.