熊貓DataFrame錯誤「元組索引超出範圍」

我有一個問題，使用當前版本的熊貓向後填充numpy日期向量。相同的代碼適用於早期版本。下面演示了我的問題：熊貓DataFrame錯誤「元組索引超出範圍」

舊版本（0.7.3）的作品

C:\WINDOWS\system32>pip show pandas 
Name: pandas 
Version: 0.7.3 
Summary: Powerful data structures for data analysis and statistics 
Home-page: http://pandas.pydata.org 
Author: The PyData Development Team 
Author-email: [email protected] 
License: BSD 
Location: c:\program files\python\python27\lib\site-packages 
Requires: python-dateutil, numpy 

C:\WINDOWS\system32>python 
Python 2.7.12 (v2.7.12:d33e0cf91556, Jun 27 2016, 15:24:40) [MSC v.1500 64 bit (AMD64)] on win32 
Type "help", "copyright", "credits" or "license" for more information. 
>>> 
>>> d=np.array([None, None, None, None, dt.now(), None]) 
>>> b = DataFrame(d) 
>>> b.fillna(method='backfill') 
          0 
0 2017-04-02 12:21:18.175000 
1 2017-04-02 12:21:18.175000 
2 2017-04-02 12:21:18.175000 
3 2017-04-02 12:21:18.175000 
4 2017-04-02 12:21:18.175000 
5      None 
>>>

目前vesion（0.19.2）不工作：

C:\WINDOWS\system32>pip show pandas 
Name: pandas 
Version: 0.19.2 
Summary: Powerful data structures for data analysis, time series,and statistics 
Home-page: http://pandas.pydata.org 
Author: The PyData Development Team 
Author-email: [email protected] 
License: BSD 
Location: c:\program files\python\python27\lib\site-packages 
Requires: pytz, python-dateutil, numpy 


C:\WINDOWS\system32>python 
Python 2.7.12 (v2.7.12:d33e0cf91556, Jun 27 2016, 15:24:40) [MSC v.1500 64 bit (AMD64)] on win32 
Type "help", "copyright", "credits" or "license" for more information. 
>>> from datetime import datetime as dt 
>>> import numpy as np 
>>> from pandas import DataFrame 
>>> d=np.array([None, None, None, None, dt.now(), None]) 
>>> b = DataFrame(d) 
Traceback (most recent call last): 
    File "<stdin>", line 1, in <module> 
    File "C:\Program Files\Python\Python27\lib\site-packages\pandas\core\frame.py", line 297, in __init__ 
    copy=copy) 
    File "C:\Program Files\Python\Python27\lib\site-packages\pandas\core\frame.py", line 474, in _init_ndarray 
    return create_block_manager_from_blocks([values], [columns, index]) 
    File "C:\Program Files\Python\Python27\lib\site-packages\pandas\core\internals.py", line 4256, in create_block_manager_from_blocks 
    construction_error(tot_items, blocks[0].shape[1:], axes, e) 
    File "C:\Program Files\Python\Python27\lib\site-packages\pandas\core\internals.py", line 4230, in construction_error 
    if block_shape[0] == 0: 
IndexError: tuple index out of range 
>>>

我在做什麼像我認爲的那樣，錯誤還是它是熊貓中的一個錯誤？如果它有一個錯誤，我該如何報告？

編輯：這是作爲提起錯誤報告與大熊貓，將被固定在一個次RELASE（0.19.3）

來源

2017-04-02 Richard B

DataFrame(d)失敗，我不知道爲什麼，但Series(d)作品，所以你可以這樣做：

pd.DataFrame({0:d})

也就是說，明確地告訴熊貓是d是一個系列叫0，這是它隱含在做古代的0.7版本。

如果你想報告錯誤，你可以簡單地說，這個工程：

pd.DataFrame([None, None, datetime.datetime.now()])

但這種失敗：

pd.DataFrame([None, None, None, datetime.datetime.now()])

來源

2017-04-02 11:52:21

感謝您的回答。你能告訴我在哪裏報告嗎？你還可以解釋你的測試中發生了什麼。爲什麼一個工作，另一個不工作？ –

@RichardB：熊貓問題追蹤器在這裏：https://github.com/pandas-dev/pandas/issues –

嘗試指定（或CAST）的dtype明確：

In [18]: d=np.array([None, None, None, None, pd.datetime.now(), None]) 

In [19]: b = DataFrame(d.astype('datetime64[ms]')) 

In [20]: b 
Out[20]: 
         0 
0      NaT 
1      NaT 
2      NaT 
3      NaT 
4 2017-04-02 20:34:20.381 
5      NaT 

In [21]: b.bfill() 
Out[21]: 
         0 
0 2017-04-02 20:34:20.381 
1 2017-04-02 20:34:20.381 
2 2017-04-02 20:34:20.381 
3 2017-04-02 20:34:20.381 
4 2017-04-02 20:34:20.381 
5      NaT

來源

2017-04-02 11:55:06 MaxU

熊貓DataFrame錯誤「元組索引超出範圍」

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