Как преобразовать список смешанного типа данных в dataframe в Python

Question

У меня есть список смешанного типа данных вида:

list = [['3D prototypes', 
    'Can print large objects', 
    'Autodesk Maya/Mudbox', 
    '3D Studio'], 
['We can produce ultra high resolution 3D prints in multiple materials.', 
    'The quality of our prints beats MakerBot, Form 1, or any other either   
    powder based or printers using PLA, ABS, Wax or Resin. This printer has 
    the highest resolution and a very large build size. It prints fully 
    functional moving parts like a chain or an engine right out of the 
    printer.', 
    'The printer is loaded with DurusWhite.', 
    'Inquire to change the material. There is a $30 surcharge for material 
    switch.', 
    "Also please mention your creation's dimensions in mm and if you need 
    expedite delivery.", 
    "Printer's Net build size:", 
    '294 x 192 x 148.6 mm (11.57 x 7.55 x 5.85 in.)', 
    'The Objet30 features four Rigid Opaque materials and one material that 
    mimics polypropylene. The Vero family of materials all feature dimensional 
    stability and high-detail visualization, and are designed to simulate 
    plastics that closely resemble the end product.', 
    'PolyJet based printers have a different way of working. These 
    technologies deliver the highest quality and precision unmatched by the 
    competition. These type of printers are ideal for professionals, for uses 
    ranging from casting jewelry to device prototyping.', 
    'Rigid opaque white (VeroWhitePlus)', 
    'Rigid opaque black (VeroBlackPlus)', 
    'Rigid opaque blue (VeroBlue)', 
    'Rigid opaque gray (VeroGray)', 
    'Polypropylene-like material (DurusWhite) for snap fit applications'], 
    'Hub can print invoices', 
    'postal service', 
    'Mar 2015', 
    'Within the hour i', 
    [u'40.7134', u'-74.0069'], 
    '4', 
    ['Customer JAMES reviewed Sun, 2015-04-19 05:17:  Awesome print! 
    Good quality, relatively fast shipping, and very responsive to my 
    questions; would certainly recommend this hub. ', 
    'Hub XSENIO replied 2 days 16 hours ago:  Thanks James! ', 
    'Customer Sara reviewed Sun, 2015-04-19 00:10:  Thank you for going 
    out of your way to get this to us in time for our shoot. ', 
'Hub XSENIO replied 2 days 16 hours ago:  Thanks ! ', 
'Customer Aaron reviewed Sat, 2015-04-18 02:36:  Great service ', 
'Hub XSENIO replied 2 days 16 hours ago:  Thanks! ', 
"Customer Arnoldas reviewed Mon, 2015-03-23 19:47:  Xsenio's Hub was 
able to produce an excellent quality print , was quick and reliable. 
Awesome printing experience! "]] 

Он имеет смешанный тип данных, глядя, как это,

<type 'list'> 
<type 'list'> 
<type 'str'> 
<type 'str'> 
<type 'str'> 
<type 'str'> 
<type 'list'> 
<type 'str'> 
<type 'list'> 

Но когда я использую

pd.DataFrame(list) 

Это показывает, что,

TypeError: Expected list, got str 

Может кто-нибудь сказать мне, что случилось с этим? Нужно ли преобразовывать все элементы в список из строки в список?

Благодаря

Answer 1

Кажется, вы должны преобразовать список в numpy array или через dict:

from pandas import DataFrame 
import numpy 
lst = numpy.array([['3D prototypes', 
     'Can print large objects', 
     'Autodesk Maya/Mudbox', 
     '3D Studio'], 
     ['We can produce ultra high resolution 3D prints in multiple materials.', 
     '''The quality of our prints beats MakerBot, Form 1, or any other either 
     powder based or printers using PLA, ABS, Wax or Resin. This printer has 
     the highest resolution and a very large build size. It prints fully 
     functional moving parts like a chain or an engine right out of the 
     printer.''', 
     'The printer is loaded with DurusWhite.', 
     '''Inquire to change the material. There is a $30 surcharge for material 
     switch.''', 
     '''Also please mention your creation's dimensions in mm and if you need 
     expedite delivery.''', 
     "Printer's Net build size:", 
     '294 x 192 x 148.6 mm (11.57 x 7.55 x 5.85 in.)', 
     '''The Objet30 features four Rigid Opaque materials and one material that 
     mimics polypropylene. The Vero family of materials all feature dimensional 
     stability and high-detail visualization, and are designed to simulate 
     plastics that closely resemble the end product.''', 
     '''PolyJet based printers have a different way of working. These 
     technologies deliver the highest quality and precision unmatched by the 
     competition. These type of printers are ideal for professionals, for uses 
     ranging from casting jewelry to device prototyping.''', 
     'Rigid opaque white (VeroWhitePlus)', 
     'Rigid opaque black (VeroBlackPlus)', 
     'Rigid opaque blue (VeroBlue)', 
     'Rigid opaque gray (VeroGray)', 
     'Polypropylene-like material (DurusWhite) for snap fit applications'], 
     'Hub can print invoices', 
     'postal service', 
     'Mar 2015', 
     'Within the hour i', 
     [u'40.7134', u'-74.0069'], 
     '4', 
     ['''Customer JAMES reviewed Sun, 2015-04-19 05:17:  Awesome print! 
     Good quality, relatively fast shipping, and very responsive to my 
     questions; would certainly recommend this hub. ''', 
     'Hub XSENIO replied 2 days 16 hours ago:  Thanks James! ', 
     '''Customer Sara reviewed Sun, 2015-04-19 00:10:  Thank you for going 
     out of your way to get this to us in time for our shoot. ''', 
     'Hub XSENIO replied 2 days 16 hours ago:  Thanks ! ', 
     'Customer Aaron reviewed Sat, 2015-04-18 02:36:  Great service ', 
     'Hub XSENIO replied 2 days 16 hours ago:  Thanks! ', 
     '''Customer Arnoldas reviewed Mon, 2015-03-23 19:47:  Xsenio's Hub was 
     able to produce an excellent quality print , was quick and reliable. 
     Awesome printing experience! ''']]) 

df = DataFrame(lst) 
print df 

Вышеприведенные гравюр

            0 
0 [3D prototypes, Can print large objects, Autod... 
1 [We can produce ultra high resolution 3D print... 
2        Hub can print invoices 
3          postal service 
4           Mar 2015 
5         Within the hour i 
6        [40.7134, -74.0069] 
7             4 
8 [Customer JAMES reviewed Sun, 2015-04-19 05:17... 

[9 rows x 1 columns] 

РОУ делает состояние в data параметр должен быть Numpy массива или словарь: http://pandas.pydata.org/pandas-docs/dev/generated/pandas.DataFrame.html

PS: Я также взял на себя смелость вмещающих многострочные строк в тройных кавычках