Python 潜在错误：熊猫多重索引

我下载了最新的熊猫，

pandas-0.14.0rc1-39-g9d01fe1.win-amd64-py2.7.exe

。考虑

np.random.seed（1234）

给我输出

Out[17]: '0.14.0rc1-39-g9d01fe1'
Out[18]: -999

此外，如果我们不指定内容，我们甚至无法检查实际设置的值：

import numpy as np
from matplotlib import pyplot
import pandas as pd

np.random.seed(1234)



# params, initials
T = 100 # time
N = 80 # firms
TIndex = np.arange(0, T)
FIndex = np.arange(0, N)

index = pd.MultiIndex.from_product([TIndex, FIndex], names=['time', 'firm'])
df = pd.DataFrame(columns=['A', 'w', 'l', 'a', 'x', 'X', 'd', 'profit'], index=index)
t, n = 0, 2
someValues = np.random.randint(0, 5, size=N)
df.loc[(t,n), 'X'] = 0

pd.__version__
df.loc[(t,n), 'X']

这给了我

Out[17]: '0.14.0rc1-39-g9d01fe1'
Traceback (most recent call last):
  File "C:\Users\sdaro\AppData\Local\Enthought\Canopy\User\lib\site-packages\IPython\core\interactiveshell.py", line 2883, in run_code
    exec(code_obj, self.user_global_ns, self.user_ns)
  File "<ipython-input-18-be034dd72c0c>", line 1, in <module>
    df.loc[(t,n), 'X']
  File "C:\Users\sdaro\AppData\Local\Enthought\Canopy\User\lib\site-packages\pandas\core\indexing.py", line 1124, in __getitem__
    return self._getitem_tuple(key)
  File "C:\Users\sdaro\AppData\Local\Enthought\Canopy\User\lib\site-packages\pandas\core\indexing.py", line 649, in _getitem_tuple
    return self._getitem_lowerdim(tup)
  File "C:\Users\sdaro\AppData\Local\Enthought\Canopy\User\lib\site-packages\pandas\core\indexing.py", line 757, in _getitem_lowerdim
    return self._getitem_nested_tuple(tup)
  File "C:\Users\sdaro\AppData\Local\Enthought\Canopy\User\lib\site-packages\pandas\core\indexing.py", line 831, in _getitem_nested_tuple
    if obj.ndim < self.ndim:
AttributeError: 'float' object has no attribute 'ndim'

Out[17]：“0.14.0rc1-39-g9d01fe1”
回溯（最近一次呼叫最后一次）：
文件“C:\Users\sdaro\AppData\Local\enthund\Canopy\User\lib\site packages\IPython\core\interactiveshell.py”，第2883行，运行代码
exec（代码对象、self.user\u全局、self.user\n）
文件“”，第1行，在
测向位置[（t，n），'X']
文件“C:\Users\sdaro\AppData\Local\enthund\Canopy\User\lib\site packages\pandas\core\index.py”，第1124行，在u getitem中__
返回self.\u getitem\u元组（键）
文件“C:\Users\sdaro\AppData\Local\enthught\Canopy\User\lib\site packages\pandas\core\index.py”，第649行，在_getitem\元组中
返回self.\u getitem\u lowerdim（tup）
文件“C:\Users\sdaro\AppData\Local\enthund\Canopy\User\lib\site packages\pandas\core\index.py”，第757行，位于_getitem\u lowerdim中
返回self.\u getitem\u嵌套\u元组（tup）
文件“C:\Users\sdaro\AppData\Local\enthught\Canopy\User\lib\site packages\pandas\core\index.py”，第831行，位于\u getitem\u嵌套\u元组中
如果obj.ndim

此处未测试边缘案例：

在此提交中修复了以下问题：

---

windows二进制文件将在2小时内启动：；使用最新的截止日期。loc[（t，n），'X']返回标量。你想要df.loc[t，'X']`吗？

df.loc[t，'X']

按预期工作，只需使用

（t，n）

它不工作。我将在2小时后检查二进制文件：）=

Out[17]: '0.14.0rc1-39-g9d01fe1'
Traceback (most recent call last):
  File "C:\Users\sdaro\AppData\Local\Enthought\Canopy\User\lib\site-packages\IPython\core\interactiveshell.py", line 2883, in run_code
    exec(code_obj, self.user_global_ns, self.user_ns)
  File "<ipython-input-18-be034dd72c0c>", line 1, in <module>
    df.loc[(t,n), 'X']
  File "C:\Users\sdaro\AppData\Local\Enthought\Canopy\User\lib\site-packages\pandas\core\indexing.py", line 1124, in __getitem__
    return self._getitem_tuple(key)
  File "C:\Users\sdaro\AppData\Local\Enthought\Canopy\User\lib\site-packages\pandas\core\indexing.py", line 649, in _getitem_tuple
    return self._getitem_lowerdim(tup)
  File "C:\Users\sdaro\AppData\Local\Enthought\Canopy\User\lib\site-packages\pandas\core\indexing.py", line 757, in _getitem_lowerdim
    return self._getitem_nested_tuple(tup)
  File "C:\Users\sdaro\AppData\Local\Enthought\Canopy\User\lib\site-packages\pandas\core\indexing.py", line 831, in _getitem_nested_tuple
    if obj.ndim < self.ndim:
AttributeError: 'float' object has no attribute 'ndim'