Python:append（）和extend（）

我有一个300万行的.txt文件。该文件包含的数据如下所示：

# RSYNC: 0 1 1 0 512 0
#$SOA 5m localhost. hostmaster.localhost. 1906022338 1h 10m 5d 1s
# random_number_ofspaces_before_this text $TTL 60s
#more random information
:127.0.1.2:https://www.spamhaus.org/query/domain/$
test
:127.0.1.2:https://www.spamhaus.org/query/domain/$
.0-0m5tk.com
.0-1-hub.com
.zzzy1129.cn
:127.0.1.4:https://www.spamhaus.org/query/domain/$
.0-il.ml
.005verf-desj.com
.01accesfunds.com

我正在尝试解析它，使其看起来像：

+--------------------+--------------+-------------+-----------------------------------------------------+
|    domain_name     | period_count | parsed_code |                      raw_code                       |
+--------------------+--------------+-------------+-----------------------------------------------------+
| test               |            0 | 127.0.1.2   |  :127.0.1.2:https://www.spamhaus.org/query/domain/$ |
| .0-0m5tk.com       |            2 | 127.0.1.2   |  :127.0.1.2:https://www.spamhaus.org/query/domain/$ |
| .0-1-hub.com       |            2 | 127.0.1.2   |  :127.0.1.2:https://www.spamhaus.org/query/domain/$ |
| .zzzy1129.cn       |            2 | 127.0.1.2   |  :127.0.1.2:https://www.spamhaus.org/query/domain/$ |
| .0-il.ml           |            2 | 127.0.1.4   |  :127.0.1.4:https://www.spamhaus.org/query/domain/$ |
| .005verf-desj.com  |            2 | 127.0.1.4   |  :127.0.1.4:https://www.spamhaus.org/query/domain/$ |
| .01accesfunds.com  |            2 | 127.0.1.4   |  :127.0.1.4:https://www.spamhaus.org/query/domain/$ |
+--------------------+--------------+-------------+-----------------------------------------------------+

为此，我提出了以下建议：

rows = []
raw_code = None
parsed_code = None
with open('dbl-sr-2019-06-02T23_38_27Z.txt', 'r') as f: # assumes the file name is input.txt
    for line in f:
        line = line.rstrip('\n')
        if line.startswith(':127'):
            raw_code = line
            parsed_code = re.split(":", line)[1]
            continue
        if line.startswith('#'):
            continue
        rows.append((line, parsed_code))
#         rows.append((raw_code))
#         rows.extend((line, parsed_code, raw_code))
#         rows.extend((raw_code))

import pandas as pd 
df = pd.DataFrame(rows, columns=['domain_name', "parsed_code" 'raw_spamhaus_return_code'])
print(df)

---

上面代码块中注释掉的行或者没有生成我想要的输出，或者给出了一个错误。我正在努力构建一个超过2列的熊猫数据框架。我可以得到

域名

和另一列。似乎我无法下载代码以正确使用

.append

和

.extend

函数。有人能提供指导吗？

您的问题可能是缺少逗号

这：

不同于：

df = pd.DataFrame(rows, columns=[
    'domain_name', "parsed_code" 'raw_spamhaus_return_code'])

因为（请注意缺少的逗号）：

变成一个字符串

测试代码： 结果：

---

为什么在您当前的实现中，

行

只有2列，而

len（df.columns）

只有3列？谢谢。请编辑您的答案，告诉我如何计算

域名

中的句点，好吗？我知道它看起来像：

period\u count=line.count（'..'）

，我无法准确地工作（每行数为5）

df = pd.DataFrame(rows, columns=[
    'domain_name', "parsed_code" 'raw_spamhaus_return_code'])

"parsed_code" 'raw_spamhaus_return_code'

import re

data = [x.strip() for x in """
    # RSYNC: 0 1 1 0 512 0
    #$SOA 5m localhost. hostmaster.localhost. 1906022338 1h 10m 5d 1s
    # random_number_ofspaces_before_this text $TTL 60s
    #more random information
    :127.0.1.2:https://www.spamhaus.org/query/domain/$
    test
    :127.0.1.2:https://www.spamhaus.org/query/domain/$
    .0-0m5tk.com
    .0-1-hub.com
    .zzzy1129.cn
    :127.0.1.4:https://www.spamhaus.org/query/domain/$
    .0-il.ml
    .005verf-desj.com
    .01accesfunds.com
""".split('\n')[1:-1]]

rows = []
raw_code = None
parsed_code = None
for line in data:
    line = line.rstrip('\n')
    if line.startswith(':127'):
        raw_code = line
        parsed_code = re.split(":", line)[1]
        continue
    if line.startswith('#'):
        continue
    rows.append((line, line.count('.'), parsed_code, raw_code))

import pandas as pd

df = pd.DataFrame(rows, columns=[
    'domain_name', 'period_count ', 'parsed_code',
    'raw_spamhaus_return_code'])
print(df)

         domain_name  period_count  parsed_code  \
0               test              0   127.0.1.2   
1       .0-0m5tk.com              2   127.0.1.2   
2       .0-1-hub.com              2   127.0.1.2   
3       .zzzy1129.cn              2   127.0.1.2   
4           .0-il.ml              2   127.0.1.4   
5  .005verf-desj.com              2   127.0.1.4   
6  .01accesfunds.com              2   127.0.1.4   

                            raw_spamhaus_return_code  
0  :127.0.1.2:https://www.spamhaus.org/query/doma...  
1  :127.0.1.2:https://www.spamhaus.org/query/doma...  
2  :127.0.1.2:https://www.spamhaus.org/query/doma...  
3  :127.0.1.2:https://www.spamhaus.org/query/doma...  
4  :127.0.1.4:https://www.spamhaus.org/query/doma...  
5  :127.0.1.4:https://www.spamhaus.org/query/doma...  
6  :127.0.1.4:https://www.spamhaus.org/query/doma...