如何提取/分割多行注释以创建新列表
clientInfo="""James,Jose,664 New Avenue,New Orleans,Orleans,LA,8/27/200,123,[email protected],;
Shenna,Laureles, 288 Livinghood Heights,Brighton,Livingston,MI,2/19/75,[email protected],;
"""
into this kind of list
f_name = ["james","sheena"]
l_name = ["jose","Laureles"]
strt = ["664 New Avenue","288 Livinghood Heights"]
cty = ["New Orleans","Brighton"]
state = ["New Orleans","Livingston"]
如果顺序始终相同。你可以做这样的事情;
f_name = []
l_name = []
strt = []
cty = []
state = []
for client in clientData.split(";\n "):
client_ = client.split(",")
f_name.append(client_[0])
l_name.append(client_[1])
strt.append(client_[2])
cty.append(client_[3])
state.append(client_[4])
我可以在字符串的末尾添加一些异常处理来处理;
,但留给您。
您可以使用split
和zip
。
def extract(string):
lines = string.split(";")
split_lines = tuple(map(lambda line: line.split(","), lines))
no_space1 = tuple(map(lambda item: item.strip(), split_lines[0]))
no_space2 = tuple(map(lambda item: item.strip(), split_lines[1]))
return list(zip(no_space1, no_space2))
将产生
[('James', 'Shenna'), ('Jose', 'Laureles'), ('664 New Avenue', '288 Livinghood Heights'), ('New Orleans', 'Brighton'), ('Orleans', 'Living
ston'), ('LA', 'MI'), ('8/27/200', '2/19/75'), ('123', '[email protected]'), ('[email protected]', '')]
它的末尾有一些您不需要的元组,但是它相对不错。no_space
1行和2行有些重复,但是我认为将它们塞成一行比较糟糕。
您可以尝试:
clientData = """James,Jose,664 New Avenue,New Orleans,Orleans,LA,8/27/200,123,[email protected],;
Shenna,Laureles, 288 Livinghood Heights,Brighton,Livingston,MI,2/19/75,[email protected],;
"""
data = clientData.split(";\n")
f_name = []
l_name = []
strt = []
cty = []
state = []
for data_line in data:
data_line = data_line.strip()
if len(data_line) >= 5:
line_info = data_line.split(",")
f_name.append(line_info[0].strip())
l_name.append(line_info[1].strip())
strt.append(line_info[2].strip())
cty.append(line_info[3].strip())
state.append(line_info[4].strip())
print(f_name)
print(l_name)
print(strt)
print(cty)
print(state)
输出:
['James', 'Shenna']
['Jose', 'Laureles']
['664 New Avenue', '288 Livinghood Heights']
['New Orleans', 'Brighton']
['Orleans', 'Livingston']