我已经下载了Python软件包statsmodels(使用pip)并运行测试,发现有几个失败了。测试命令是
>>> import statsmodels.api as sm
>>> sm.test()
有两个错误,一个失败:
=====================================================================
ERROR: statsmodels.sandbox.panel.test_sandwich.test_cov_cluster_2groups
----------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/local/lib/python2.7/site-packages/nose/case.py", line 197, in runTest
self.test(*self.arg)
File "/usr/local/lib/python2.7/site-packages/statsmodels/sandbox/panel/test_sandwich.py", line 30, in test_cov_cluster_2groups
cov01, covg, covt = sw.cov_cluster_2groups(res, group, group2=time)
File "/usr/local/lib/python2.7/site-packages/statsmodels/sandbox/panel/sandwich_covariance.py", line 555, in cov_cluster_2groups
group_intersection = Group(group)
File "/usr/local/lib/python2.7/site-packages/statsmodels/tools/grouputils.py", line 182, in __init__
uni, uni_idx, uni_inv = combine_indices(group)
File "/usr/local/lib/python2.7/site-packages/statsmodels/tools/grouputils.py", line 60, in combine_indices
return_inverse=True)
File "/usr/local/lib/python2.7/site-packages/numpy/lib/arraysetops.py", line 178, in unique
perm = ar.argsort(kind='mergesort')
TypeError: requested sort not available for type
======================================================================
ERROR: statsmodels.tsa.base.tests.test_datetools.test_infer_freq
----------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/local/lib/python2.7/site-packages/nose/case.py", line 197, in runTest
self.test(*self.arg)
File "/usr/local/lib/python2.7/site-packages/statsmodels/tsa/base/tests/test_datetools.py", line 63, in test_infer_freq
npt.assert_string_equal(_infer_freq(b), 'B')
File "/usr/local/lib/python2.7/site-packages/statsmodels/tsa/base/datetools.py", line 234, in _infer_freq
elif delta >= timedelta(28*nobs) and delta <= timedelta(31*nobs):
TypeError: ufunc 'greater_equal' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule 'safe'
======================================================================
FAIL: test_monotone_fn_inverter (statsmodels.distributions.tests.test_ecdf.TestDistributions)
----------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/local/lib/python2.7/site-packages/statsmodels/distributions/tests/test_ecdf.py", line 41, in test_monotone_fn_inverter
npt.assert_array_equal(f.y, x[::1])
File "/usr/local/lib/python2.7/site-packages/numpy/testing/utils.py", line 707, in assert_array_equal
verbose=verbose, header='Arrays are not equal')
File "/usr/local/lib/python2.7/site-packages/numpy/testing/utils.py", line 636, in assert_array_compare
raise AssertionError(msg)
AssertionError:
Arrays are not equal
(mismatch 100.0%)
x: array([ 15., 14., 13., 12., 11., 10., 9., 8., 7., 6.])
y: array([ 6, 7, 8, 9, 10, 11, 12, 13, 14, 15])
----------------------------------------------------------------------
Ran 1454 tests in 67.411s
其他可能有用的信息:
statsmodel v0.4.0
(也尝试v0.5.0
)numpy v1.6.2
scipy v0.10.1
python v2.7.3
在Mac OSX 10.8上安装brew install python
(即不是OSX本机python)。joblib v0.6.4
,nose v1.1.2
和patsy v0.1.0
。测试需要Nose
,patsy
需要import statsmodels.api
。测试套件还抱怨并行运行需要joblib
。我不确定前两个错误是什么,失败看起来有点奇怪,有点像实现改变或者什么......但我怀疑statsmodels的人/ gals之前运行过他们的测试他们称之为一天:)那么这里发生了什么?
答案 0 :(得分:1)
请尝试使用最新版本http://pypi.python.org/pypi/statsmodels/0.4.3
据我记忆,所有这些错误都已修复。
第一个错误是1.6.2中numpy行为的变化。
我认为,第二个问题与日期时间处理的变化有关,转换为在较新的pandas版本中使用新的numpy dtypes。
最后一次是测试中的错误。
邮件列表或问题跟踪器可能是报告这些测试失败的更好地方: http://groups.google.com/group/pystatsmodels https://github.com/statsmodels/statsmodels/issues