python - 将重复的 "key=value"对文件读入 DataFrame

Question

我有一个包含这种格式数据的 txt 文件。前 3 行一遍又一遍地重复。

name=1
grade=A
class=B
name=2
grade=D
class=A

我想以表格格式输出数据，例如:

name | grade | class
1    | A     | B
2    | D     | A

我正在努力设置标题并循环遍历数据。到目前为止我尝试过的是:

def myfile(filename):
    with open(file1) as f:
        for line in f:
            yield line.strip().split('=',1)

def pprint_df(dframe):
    print(tabulate(dframe, headers="keys", tablefmt="psql", showindex=False,))

#f = pd.DataFrame(myfile('file1')
df = pd.DataFrame(myfile('file1'))
pprint_df(df)

输出是

+-------+-----+
| 0     | 1   |
|-------+-----|
| name  | 1   |
| grade | A   |
| class | B   |
| name  | 2   |
| grade | D   |
| class | A   |
+-------+-----+

不是我正在寻找的。

Answer 1

此解决方案假定文本格式与您所描述的一样，但您可以修改它以使用不同的词来表示新行的开头。在这里，我们假设新行以 name 开头。 field 。我已经修改了你的 myfile()下面的函数，希望它给你一些想法:)

def myfile(filename):
    d_list = []
    with open(filename) as f:
        d_line = {}
        for line in f:
            split_line = line.rstrip("\n").split('=')  # Strip \n characters and split field and value.
            if (split_line[0] == 'name'):
                if d_line:
                    d_list.append(d_line)  # Append if there is previous line in d_line.
                d_line = {split_line[0]: split_line[1]}  # Start a new dictionary to collect the next lines.
            else:
                d_line[split_line[0]] = split_line[1]  # Add the other 2 fields to the dictionary.
        d_list.append(d_line) # Append the last line.
    return pd.DataFrame(d_list)  # Turn the list of dictionaries into a DataFrame.