无论我做什么，我的 python 列表都不会变平......该怎么办？

Question

我正在尝试展平一个列表，该列表是两个列表之间的压缩结果。对于代码，我从 99 个不同的网页中获取了 19 个数据值。当我压缩这两个代码时，我将每个网页的标题放在嵌套数据列表 19 的前面。现在我想将整个列表展平，保持相同的顺序。我尝试了许多不同的展平代码，但没有什么能摆脱每个单独数据列表周围的方括号。帮助！ :)

我已经尝试过 itertools、chain、for 循环删除子集 - 我在过去两天通过 google 搜索找到的所有内容。

population_data = [('Billbrook', ['2350', '2354', '2032', '1783', '1526', '1528', '1235', '1117', '1133', '1210', '1357', '1476', '1452', '1398', '1428', '2176', '2198', '2097', '1992']), ('Billstedt', ['68256', '68064', '68461', '68512', '68119', '68115', '68573', '68936', '68982', '69085', '69306', '69261', '69110', '69570', '69806', '70100', '70234', '70539', '70355']), ('Borgfelde', ['6526', '6469', '6457', '6504', '6460', '6654', '6591', '6565', '6649', '6611', '6556', '6688', '6857', '7085', '6773', '6845', '7461', '7635', '7696']), ('HafenCity', ['-', '-', '-', '-', '-', '-', '-', '-', '760', '930', '1097', '1582', '1834', '1914', '2093', '2319', '3275', '3627', '4592']), ('Hamburg-Altstadt', ['1993', '1965', '1908', '1843', '1774', '1816', '1949', '2247', '1701', '1673', '1661', '1665', '1660', '1675', '1793', '1879', '2257', '2305', '2272']), ('Hamm', ['35737', '35854', '35793', '35536', '35195', '35443', '35985', '36228', '36662', '36810', '37243', '37607', '37763', '37520', '37948', '38515', '38136', '38716', '38773']), ('Hammerbrook', ['565', '572', '584', '494', '432', '418', '450', '435', '1697', '1673', '1703', '1896', '2119', '2170', '2244', '2454', '4067', '3939', '4323']), ('Horn', ['35522', '35350', '35910', '35971', '36291', '36302', '36490', '36890', '37351', '37677', '37635', '37882', '37599', '37614', '38296', '38253', '38549', '38569', '38799']), ('Kleiner Grasbrook und Steinwerder', ['1376', '1391', '1410', '1445', '1425', '1361', '1351', '1290', '1279', '1190', '1244', '1305', '1431', '1259', '1326', '1414', '1256', '1243', '1239']), ('Neustadt', ['11912', '12106', '11989', '12052', '11856', '11850', '11747', '11706', '11838', '11626', '11856', '12026', '12331', '12301', '12372', '12586', '12657', '12719', '12920']), ('Rothenburgsort', ['8006', '8047', '8063', '8092', '8181', '8180', '8241', '8660', '8938', '8650', '8637', '8751', '8876', '8992', '9092', '9138', '9137', '9225', '9268']), ('St.Georg', ['10191', '10239', '9940', '10298', '10245', '10388', '10551', '10586', '10666', '9980', '10279', '10443', '10554', '10466', '10682', '10736', '10814', '11055', '11384']), ('St.Pauli', ['26660', '26094', '26776', '26923', '26829', '27035', '27612', '27706', '21703', '21099', '21469', '21704', '22058', '22392', '22433', '22535', '22595', '22501', '22436']), ('Veddel', ['4693', '4603', '4592', '4708', '4776', '4875', '4927', '4944', '4909', '4852', '4847', '4856', '4836', '4709', '4707', '4704', '4632', '4667', '4632']), ('Waltershof und Finkenwerder', ['11833', '11685', '11689', '11637', '11578', '11600', '11634', '11633', '11709', '11666', '11690', '11709', '11718', '11662', '11721', '11733', '11729', '11765', '11808']), ('Wilhelmsburg', ['46125', '47180', '47857', '47847', '48322', '48957', '49132', '49851', '49803', '50091', '50472', '50731', '51171', '52372', '52892', '53764', '55074', '54169', '54068'])]

例如，如果我使用 itertools，它会去掉括号，但方括号始终保留。我打印了列表的长度，它是邻域标题的数量加上每个数据列表的 1。

Answer 1

您可以先将 population_data 解压缩为名称元组和包含数字元组的列表。

然后我们遍历名称和数字，并将它们连接到自己的子列表中

然后我们最终将所有子列表扁平化为一个大列表

population_data = [('Billbrook', ['2350', '2354', '2032', '1783', '1526', '1528', '1235', '1117', '1133', '1210', '1357', '1476', '1452', '1398', '1428', '2176', '2198', '2097', '1992']), ('Billstedt', ['68256', '68064', '68461', '68512', '68119', '68115', '68573', '68936', '68982', '69085', '69306', '69261', '69110', '69570', '69806', '70100', '70234', '70539', '70355']), ('Borgfelde', ['6526', '6469', '6457', '6504', '6460', '6654', '6591', '6565', '6649', '6611', '6556', '6688', '6857', '7085', '6773', '6845', '7461', '7635', '7696']), ('HafenCity', ['-', '-', '-', '-', '-', '-', '-', '-', '760', '930', '1097', '1582', '1834', '1914', '2093', '2319', '3275', '3627', '4592']), ('Hamburg-Altstadt', ['1993', '1965', '1908', '1843', '1774', '1816', '1949', '2247', '1701', '1673', '1661', '1665', '1660', '1675', '1793', '1879', '2257', '2305', '2272']), ('Hamm', ['35737', '35854', '35793', '35536', '35195', '35443', '35985', '36228', '36662', '36810', '37243', '37607', '37763', '37520', '37948', '38515', '38136', '38716', '38773']), ('Hammerbrook', ['565', '572', '584', '494', '432', '418', '450', '435', '1697', '1673', '1703', '1896', '2119', '2170', '2244', '2454', '4067', '3939', '4323']), ('Horn', ['35522', '35350', '35910', '35971', '36291', '36302', '36490', '36890', '37351', '37677', '37635', '37882', '37599', '37614', '38296', '38253', '38549', '38569', '38799']), ('Kleiner Grasbrook und Steinwerder', ['1376', '1391', '1410', '1445', '1425', '1361', '1351', '1290', '1279', '1190', '1244', '1305', '1431', '1259', '1326', '1414', '1256', '1243', '1239']), ('Neustadt', ['11912', '12106', '11989', '12052', '11856', '11850', '11747', '11706', '11838', '11626', '11856', '12026', '12331', '12301', '12372', '12586', '12657', '12719', '12920']), ('Rothenburgsort', ['8006', '8047', '8063', '8092', '8181', '8180', '8241', '8660', '8938', '8650', '8637', '8751', '8876', '8992', '9092', '9138', '9137', '9225', '9268']), ('St.Georg', ['10191', '10239', '9940', '10298', '10245', '10388', '10551', '10586', '10666', '9980', '10279', '10443', '10554', '10466', '10682', '10736', '10814', '11055', '11384']), ('St.Pauli', ['26660', '26094', '26776', '26923', '26829', '27035', '27612', '27706', '21703', '21099', '21469', '21704', '22058', '22392', '22433', '22535', '22595', '22501', '22436']), ('Veddel', ['4693', '4603', '4592', '4708', '4776', '4875', '4927', '4944', '4909', '4852', '4847', '4856', '4836', '4709', '4707', '4704', '4632', '4667', '4632']), ('Waltershof und Finkenwerder', ['11833', '11685', '11689', '11637', '11578', '11600', '11634', '11633', '11709', '11666', '11690', '11709', '11718', '11662', '11721', '11733', '11729', '11765', '11808']), ('Wilhelmsburg', ['46125', '47180', '47857', '47847', '48322', '48957', '49132', '49851', '49803', '50091', '50472', '50731', '51171', '52372', '52892', '53764', '55074', '54169', '54068'])]

#Unzip population data into list of names and numbers
name, *li = zip(*population_data)

#name = ('Billbrook', 'Billstedt', 'Borgfelde', 'HafenCity', 'Hamburg-Altstadt', '...
#li = [(['2350', '2354', '2032', '1783', '1526', '1528', '1235', '1117', '1133', '1210', '1l......

#Join the name and numbers in a list
res = [[name[idx]]+li[0][idx] for idx in range(len(name))]
#res = [['Billbrook', '2350', '2354', '2032', '1783', '1526', '1....

#Join all sublists together
concat_list = [j for i in res for j in i]
print(concat_list)

输出将是

['Billbrook', '2350', '2354', '2032', '1783', '1526', '1528', '1235', '1117', '1133', '1210', '1357', '1476', '1452', '1398', '1428', '2176', '2198', '2097', '1992', 'Billstedt', '68256', '68064', '68461', '68512', '68119', '68115', '68573', '68936', '68982', '69085', '69306', '69261', '69110', '69570', '69806', '70100', '70234', '70539', '70355', 'Borgfelde', '6526', '6469', '6457', '6504', '6460', '6654', '6591', '6565', '6649', '6611', '6556', '6688', '6857', '7085', '6773', '6845', '7461', '7635', '7696', 'HafenCity', '-', '-', '-', '-', '-', '-', '-', '-', '760', '930', '1097', '1582', '1834', '1914', '2093', '2319', '3275', '3627', '4592', 'Hamburg-Altstadt', '1993', '1965', '1908', '1843', '1774', '1816', '1949', '2247', '1701', '1673', '1661', '1665', '1660', '1675', '1793', '1879', '2257', '2305', '2272', 'Hamm', '35737', '35854', '35793', '35536', '35195', '35443', '35985', '36228', '36662', '36810', '37243', '37607', '37763', '37520', '37948', '38515', '38136', '38716', '38773', 'Hammerbrook', '565', '572', '584', '494', '432', '418', '450', '435', '1697', '1673', '1703', '1896', '2119', '2170', '2244', '2454', '4067', '3939', '4323', 'Horn', '35522', '35350', '35910', '35971', '36291', '36302', '36490', '36890', '37351', '37677', '37635', '37882', '37599', '37614', '38296', '38253', '38549', '38569', '38799', 'Kleiner Grasbrook und Steinwerder', '1376', '1391', '1410', '1445', '1425', '1361', '1351', '1290', '1279', '1190', '1244', '1305', '1431', '1259', '1326', '1414', '1256', '1243', '1239', 'Neustadt', '11912', '12106', '11989', '12052', '11856', '11850', '11747', '11706', '11838', '11626', '11856', '12026', '12331', '12301', '12372', '12586', '12657', '12719', '12920', 'Rothenburgsort', '8006', '8047', '8063', '8092', '8181', '8180', '8241', '8660', '8938', '8650', '8637', '8751', '8876', '8992', '9092', '9138', '9137', '9225', '9268', 'St.Georg', '10191', '10239', '9940', '10298', '10245', '10388', '10551', '10586', '10666', '9980', '10279', '10443', '10554', '10466', '10682', '10736', '10814', '11055', '11384', 'St.Pauli', '26660', '26094', '26776', '26923', '26829', '27035', '27612', '27706', '21703', '21099', '21469', '21704', '22058', '22392', '22433', '22535', '22595', '22501', '22436', 'Veddel', '4693', '4603', '4592', '4708', '4776', '4875', '4927', '4944', '4909', '4852', '4847', '4856', '4836', '4709', '4707', '4704', '4632', '4667', '4632', 'Waltershof und Finkenwerder', '11833', '11685', '11689', '11637', '11578', '11600', '11634', '11633', '11709', '11666', '11690', '11709', '11718', '11662', '11721', '11733', '11729', '11765', '11808', 'Wilhelmsburg', '46125', '47180', '47857', '47847', '48322', '48957', '49132', '49851', '49803', '50091', '50472', '50731', '51171', '52372', '52892', '53764', '55074', '54169', '54068']

Answer 2

用途：

from itertools import chain

population_data = [('Billbrook', ['2350', '2354', '2032', '1783', '1526', '1528', '1235', '1117', '1133', '1210', '1357', '1476', '1452', '1398', '1428', '2176', '2198', '2097', '1992']), ('Billstedt', ['68256', '68064', '68461', '68512', '68119', '68115', '68573', '68936', '68982', '69085', '69306', '69261', '69110', '69570', '69806', '70100', '70234', '70539', '70355']), ('Borgfelde', ['6526', '6469', '6457', '6504', '6460', '6654', '6591', '6565', '6649', '6611', '6556', '6688', '6857', '7085', '6773', '6845', '7461', '7635', '7696']), ('HafenCity', ['-', '-', '-', '-', '-', '-', '-', '-', '760', '930', '1097', '1582', '1834', '1914', '2093', '2319', '3275', '3627', '4592']), ('Hamburg-Altstadt', ['1993', '1965', '1908', '1843', '1774', '1816', '1949', '2247', '1701', '1673', '1661', '1665', '1660', '1675', '1793', '1879', '2257', '2305', '2272']), ('Hamm', ['35737', '35854', '35793', '35536', '35195', '35443', '35985', '36228', '36662', '36810', '37243', '37607', '37763', '37520', '37948', '38515', '38136', '38716', '38773']), ('Hammerbrook', ['565', '572', '584', '494', '432', '418', '450', '435', '1697', '1673', '1703', '1896', '2119', '2170', '2244', '2454', '4067', '3939', '4323']), ('Horn', ['35522', '35350', '35910', '35971', '36291', '36302', '36490', '36890', '37351', '37677', '37635', '37882', '37599', '37614', '38296', '38253', '38549', '38569', '38799']), ('Kleiner Grasbrook und Steinwerder', ['1376', '1391', '1410', '1445', '1425', '1361', '1351', '1290', '1279', '1190', '1244', '1305', '1431', '1259', '1326', '1414', '1256', '1243', '1239']), ('Neustadt', ['11912', '12106', '11989', '12052', '11856', '11850', '11747', '11706', '11838', '11626', '11856', '12026', '12331', '12301', '12372', '12586', '12657', '12719', '12920']), ('Rothenburgsort', ['8006', '8047', '8063', '8092', '8181', '8180', '8241', '8660', '8938', '8650', '8637', '8751', '8876', '8992', '9092', '9138', '9137', '9225', '9268']), ('St.Georg', ['10191', '10239', '9940', '10298', '10245', '10388', '10551', '10586', '10666', '9980', '10279', '10443', '10554', '10466', '10682', '10736', '10814', '11055', '11384']), ('St.Pauli', ['26660', '26094', '26776', '26923', '26829', '27035', '27612', '27706', '21703', '21099', '21469', '21704', '22058', '22392', '22433', '22535', '22595', '22501', '22436']), ('Veddel', ['4693', '4603', '4592', '4708', '4776', '4875', '4927', '4944', '4909', '4852', '4847', '4856', '4836', '4709', '4707', '4704', '4632', '4667', '4632']), ('Waltershof und Finkenwerder', ['11833', '11685', '11689', '11637', '11578', '11600', '11634', '11633', '11709', '11666', '11690', '11709', '11718', '11662', '11721', '11733', '11729', '11765', '11808']), ('Wilhelmsburg', ['46125', '47180', '47857', '47847', '48322', '48957', '49132', '49851', '49803', '50091', '50472', '50731', '51171', '52372', '52892', '53764', '55074', '54169', '54068'])]
result = []
for elem in chain.from_iterable(population_data):
    if isinstance(elem, list):     #Check if element is list object
        result.extend(elem)        #Extend result
    else:
        result.append(elem)       
print(result)

Answer 3

我完全不知道你想如何展平它，下面的代码将按行和按列展平。

# Flattening
flattened = list(map(lambda t : [t[0]] + t[1], population_data))

# Flattened data printing
for i in flattened:
    print(i)

print('-' * 40)

# Transposed data printing
for k in zip(*flattened):
    print(k)

Answer 4

试试这个：

flattened_list = []
x = [[name] + prices for name,prices in population_data]
for inner_list in x:
    flattened_list.extend(inner_list)

print(flattened_list)

Answer 5

可以通过reduce轻松制作平面列表。

所有你需要使用 initializer - reduce 函数中的第三个参数。

reduce(
    lambda result, _list: result.append(_list[0]) or result.extend(_list[1]) or result, 
    population_data, 
    [])

以上代码适用于 python2 和 python3，但您需要将 reduce 模块导入为 from functools import reduce。详情请参考以下链接。

• for python2

• for python3