6.7 8.9 9 1.3 2.3 6.9 1 3 4
>>> s='1 2 3.6 7.9 90' >>> s.split(' ') ['1', '2', '3.6', '7.9', '90'] >>>
f = open("myfile.txt", 'r') data = f.read() f.close() res = [] for n in data.split(): try: n = int(n) except ValueError: n = float(n) res.append(n) print res
>>> s = '1 2 3.6 7.9 90' >>> map(float, s.split()) [1.0, 2.0, 3.6, 7.9, 90.0]
>>> from itertools import chain >>> with open('filename.txt', 'r') as f: ... map(float, chain.from_iterable(map(lambda s: s.split(), f.read().splitlines()))) ... [1.0, 2.0, 3.6, 7.9, 90.0, 1.0, 2.0, 3.6, 7.8, 90.0, 1.0, 2.0, 3.6, 7.7, 90.0]
f = open("myfile.txt", 'r') data = f.read() f.close() res = [] for n in data.split(): try: n = int(n) except ValueError: n = float(n) res.append(n) print res
filename = ur"1.txt" # открываем файл a = [] # создаем пустой массив for line in open(filename).read().split("\n"): # читаем из файла двнные и разбираем по строкам for x in line[1:len(line)-1].split(" "): # каждую строку еще раз разбиваем по строкам a.append(map(lambda x: int(x), x.split(' '))) # добавляем элемент в массив print a # выводим весть массив
[[], [2], [], [], [5], [], [], [6], [], [], [6], [], [], [9], []] 'import sitecustomize' failed; use -v for traceback
>>> with open('filename.txt', 'r') as f: ... map(lambda s: map(float, s.split()), f.read().splitlines()) ... [[1.0, 2.0, 3.6, 7.9, 90.0], [1.0, 2.0, 3.6, 7.8, 90.0], [1.0, 2.0, 3.6, 7.7, 90.0]]
>>> numbers = [] >>> with open('filename.txt', 'r') as f: ... for line in f: ... current = [] ... for num in line.split(): ... current.append(float(num)) ... numbers.append(current) ... >>> numbers [[1.0, 2.0, 3.6, 7.9, 90.0], [1.0, 2.0, 3.6, 7.8, 90.0], [1.0, 2.0, 3.6, 7.7, 90.0]]
>>> numbers = [] >>> with open('filename.txt', 'r') as f: ... for line in f: ... numbers.append([float(num) for num in line.split()]) ... >>> numbers [[1.0, 2.0, 3.6, 7.9, 90.0], [1.0, 2.0, 3.6, 7.8, 90.0], [1.0, 2.0, 3.6, 7.7, 90.0]]
>>> numbers = [] >>> with open('filename.txt', 'r') as f: ... for line in f: ... numbers.append(map(float, line.split())) ... >>> numbers [[1.0, 2.0, 3.6, 7.9, 90.0], [1.0, 2.0, 3.6, 7.8, 90.0], [1.0, 2.0, 3.6, 7.7, 90.0]]
1 2 3 4.8 9.2 3.5 5.4 4.4 6.7 1 2 3 8.9 9.1 3 4.7 8.8
Допустим, есть такой файлВ данном примере строки не равной длины. Лучший пример типа этого:1 2 3 4.8 9.2 3.5 5.4 4.4 6.7 1 2 3 8.9 9.1 3 4.7 8.8
1 2.3 4 5.8 0 6 4 6 7.8
1 2.3 4 5.8 0 6 4 6 7.8