панды серии .to_sparse() поднимает: TypeError ("не может сцепить объект без NDFrame")

Question

У меня есть объект Панды Series (LINK TO DATA EXAMPLE):

type(ts) 
Out[54]: pandas.core.series.Series 

ts.isnull().sum() 
Out[16]: 2744 

ts.size 
Out[17]: 4096 

ts.dtype 
Out[19]: dtype('float64') 

И я получаю эту ошибку, когда я пытаюсь преобразовать серию к Sparse data structure с помощью to_sparse

ts.to_sparse() 
Traceback (most recent call last): 

    File "/home/david/anaconda3/lib/python3.5/site-packages/IPython/core/formatters.py", line 699, in __call__ 
    printer.pretty(obj) 

    File "/home/david/anaconda3/lib/python3.5/site-packages/IPython/lib/pretty.py", line 383, in pretty 
    return _default_pprint(obj, self, cycle) 

    File "/home/david/anaconda3/lib/python3.5/site-packages/IPython/lib/pretty.py", line 503, in _default_pprint 
    _repr_pprint(obj, p, cycle) 

    File "/home/david/anaconda3/lib/python3.5/site-packages/IPython/lib/pretty.py", line 694, in _repr_pprint 
    output = repr(obj) 

    File "/home/david/anaconda3/lib/python3.5/site-packages/pandas/core/base.py", line 63, in __repr__ 
    return str(self) 

    File "/home/david/anaconda3/lib/python3.5/site-packages/pandas/core/base.py", line 42, in __str__ 
    return self.__unicode__() 

    File "/home/david/anaconda3/lib/python3.5/site-packages/pandas/sparse/series.py", line 287, in __unicode__ 
    series_rep = Series.__unicode__(self) 

    File "/home/david/anaconda3/lib/python3.5/site-packages/pandas/core/series.py", line 959, in __unicode__ 
    max_rows=max_rows) 

    File "/home/david/anaconda3/lib/python3.5/site-packages/pandas/core/series.py", line 1000, in to_string 
    dtype=dtype, name=name, max_rows=max_rows) 

    File "/home/david/anaconda3/lib/python3.5/site-packages/pandas/core/series.py", line 1027, in _get_repr 
    max_rows=max_rows) 

    File "/home/david/anaconda3/lib/python3.5/site-packages/pandas/core/format.py", line 144, in __init__ 
    self._chk_truncate() 

    File "/home/david/anaconda3/lib/python3.5/site-packages/pandas/core/format.py", line 158, in _chk_truncate 
    series.iloc[-row_num:])) 

    File "/home/david/anaconda3/lib/python3.5/site-packages/pandas/tools/merge.py", line 834, in concat 
    copy=copy) 

    File "/home/david/anaconda3/lib/python3.5/site-packages/pandas/tools/merge.py", line 890, in __init__ 
    raise TypeError("cannot concatenate a non-NDFrame object") 

TypeError: cannot concatenate a non-NDFrame object 

Я действительно не понимаю, почему поднимает эту ошибку, и я хотел бы знать, что происходит.

Answer 1

она отлично работает для меня (панд 0.18.1):

In [183]: ts.to_sparse() 
Out[183]: 
0  0.00200 
1  0.00116 
2  0.00138 
3  0.00141 
4  0.00138 
5  0.00121 
6  0.00134 
7  0.00148 
8  0.00134 
9  0.00119 
10  0.00136 
11  0.00136 
12  0.00114 
13  0.00122 
14  0.00146 
15  0.00222 
16  0.00132 
17  0.00060 
18  0.00058 
19  0.00049 
20  0.00067 
21  0.00064 
22  0.00066 
23  0.00051 
24  0.00065 
25  0.00055 
26  0.00077 
27  0.00066 
28  0.00062 
29  0.00066 
     ... 
4066 0.00048 
4067 0.00050 
4068 0.00074 
4069 0.00058 
4070 0.00072 
4071 0.00068 
4072 0.00060 
4073 0.00067 
4074 0.00065 
4075 0.00066 
4076 0.00061 
4077 0.00072 
4078 0.00070 
4079 0.00121 
4080 0.00206 
4081 0.00138 
4082 0.00131 
4083 0.00124 
4084 0.00116 
4085 0.00127 
4086 0.00131 
4087 0.00127 
4088 0.00134 
4089 0.00147 
4090 0.00148 
4091 0.00143 
4092 0.00121 
4093 0.00140 
4094 0.00143 
4095 0.00184 
Name: ts, dtype: float64 
BlockIndex 
Block locations: array([ 0, 287, 303, 319, 335, 351, 367, 383, 399, 415, 431, 
     447, 463, 479, 495, 543, 559, 575, 591, 607, 623, 639, 
     655, 671, 687, 703, 719, 735, 751, 799, 815, 831, 847, 
     863, 879, 895, 911, 927, 943, 959, 975, 991, 1007, 1055, 
     1071, 1087, 1103, 1119, 1135, 1151, 1167, 1183, 1199, 1215, 1231, 
     1247, 1263, 1311, 1327, 1343, 1359, 1375, 1391, 1407, 1423, 1439, 
     1455, 1471, 1487, 1503, 1519, 1567, 1583, 1599, 1615, 1631, 1647, 
     1663, 1679, 1695, 1711, 1727, 1743, 1759, 1775, 1823, 1839, 1855, 
     1871, 1887, 1903, 1919, 1935, 1951, 1967, 1983, 1999, 2015, 2031, 
     2079, 2095, 2111, 2127, 2143, 2159, 2175, 2191, 2207, 2223, 2239, 
     2255, 2271, 2287, 2335, 2351, 2367, 2383, 2399, 2415, 2431, 2447, 
     2463, 2479, 2495, 2511, 2527, 2543, 2591, 2607, 2623, 2639, 2655, 
     2671, 2687, 2703, 2719, 2735, 2751, 2767, 2783, 2799, 2847, 2863, 
     2879, 2895, 2911, 2927, 2943, 2959, 2975, 2991, 3007, 3023, 3039, 
     3055, 3103, 3119, 3135, 3151, 3167, 3183, 3199, 3215, 3231, 3247, 
     3263, 3279, 3295, 3311, 3359, 3375, 3391, 3407, 3423, 3439, 3455, 
     3471, 3487, 3503, 3519, 3535, 3551, 3567, 3615, 3631, 3647, 3663, 
     3679, 3695, 3711, 3727, 3743, 3759, 3775, 3791, 3807, 3823]) 
Block lengths: array([273, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 
     2, 34, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 
     2, 2, 34, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 
     2, 2, 2, 34, 2, 2, 2, 2, 2, 2, 2, 2, 2, 
     2, 2, 2, 2, 34, 2, 2, 2, 2, 2, 2, 2, 2, 
     2, 2, 2, 2, 2, 34, 2, 2, 2, 2, 2, 2, 2, 
     2, 2, 2, 2, 2, 2, 34, 2, 2, 2, 2, 2, 2, 
     2, 2, 2, 2, 2, 2, 2, 34, 2, 2, 2, 2, 2, 
     2, 2, 2, 2, 2, 2, 2, 2, 34, 2, 2, 2, 2, 
     2, 2, 2, 2, 2, 2, 2, 2, 2, 34, 2, 2, 2, 
     2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 34, 2, 2, 
     2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 34, 2, 
     2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 34, 
     2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 
     34, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 
     2, 273]) 

In [184]: ts.dtype 
Out[184]: dtype('float64')