在 Python 中将特定模式从普通文件复制到 CSV 文件

Question

如果我在如下文件 (my.txt) 中有数据：

Version 3.1
# fruitstall name
# first-file
* i fruits friutname N 1 name S
* i fruits  friutname N 1  N 
+ x apple
+ y 1
+ z 23
+ a 51
+ x banana
+ y 2
+ z 68
+ a 27
+ x mango
+ y 3
+ z 46
+ a 49 
+ x orange
+ y 4
+ z 15
+ a 54
+ x butterfruit
+ y 5
+ z 76
+ a 86

如何使用 Python 将其写入 CSV 文件，该文件将包含这样的数据？

apple 1  23 51 
banana 2 68 27
mango 3 46 49
orange 4 15 54
butterfruit 5 76 86

我试过用这个：

with open(Unzipped_file_name) as f:
    for line in f:

在此之后，您能建议如何进行吗？

作为上述数据的图像格式的附加输入文本格式不正确：

input.jpg

上述数据格式的附加输出文本格式不正确：

output.jpg

Answer 1

with open('file.txt') as f:  # open file in read mode
    data = {e: [] for e in ['x', 'y', 'z', 'a']}  # init data dict like this
    data = defaultdict(list)  # or like this. from collections import defaultdict
    for line in f:
        line = line.strip()  # remove new line char
        if line.startswith('+'):  # if line marked with plus
            _, t, v = line.split()  # get 't' (one of x, y, z, a) and v (fruit or num) 
            data[t].append(v)  # append to corresponded list
with open('out.txt', 'w') as f:  # open file in write mode
    for x, y, z, a in zip(data['x'], data['y'], data['z'], data['a']):
        f.write('{} {} {} {}\n'.format(x, y, z, a))

Answer 2

path = 'Path to Text.txt'
file = open(path, "r") 
lines = " ".join(file.readlines()[5:])
lines = lines.split("+ x")
res = []
for i in lines:
    val = filter(None, i.replace("\n", "").replace("+", "").split(" "))
    if val:
        stringVal = val[0]
        for iVal in val[1:]:
            if iVal.isdigit():
                stringVal += " {}".format(iVal)
        res.append(stringVal)
print res

结果：

['apple 1 23 51', 'banna 2 68 27', 'mango 3 46 49', 'orange 4 15 54', 'butterfruit 5 76 86']