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Traceback (most recent call last):
File "/home/woodri/build/out/lib/python2.7/site-packages/pandas-0.10.0-py2.7-linux-x86_64.egg/pandas/io/tests/test_parsers.py", line 109, in test_read_csv
assert(False), "read_csv should accept unicode objects as urls"
AssertionError: read_csv should accept unicode objects as urls
Traceback (most recent call last):
File "/home/woodri/build/out/lib/python2.7/site-packages/pandas-0.10.0-py2.7-linux-x86_64.egg/pandas/io/tests/test_parsers.py", line 109, in test_read_csv
assert(False), "read_csv should accept unicode objects as urls"
AssertionError: read_csv should accept unicode objects as urls
Traceback (most recent call last):
File "/home/woodri/build/out/lib/python2.7/site-packages/pandas-0.10.0-py2.7-linux-x86_64.egg/pandas/io/tests/test_parsers.py", line 109, in test_read_csv
assert(False), "read_csv should accept unicode objects as urls"
AssertionError: read_csv should accept unicode objects as urls
Ran 2934 tests in 193.600s
FAILED (SKIP=44, failures=3)
I have compiled python, cython, numpy, etc. myself. Are there any dependencies or compile options that I am likely to be missing?
Please let me know if there is any other information I can provide to help identify the problem.
Thank you
The text was updated successfully, but these errors were encountered:
It looks like a red herring, something specific to your system is causing this function to not work:
def test_read_csv(self):
if not py3compat.PY3:
fname=u"file:///"+unicode(self.csv1)
try:
df1 = read_csv(fname, index_col=0, parse_dates=True)
except IOError:
assert(False), "read_csv should accept unicode objects as urls"
Try loading a CSV from from a unicode HTTP link, e.g.:
In [34]: read_csv(u'https://raw.github.com/pydata/pandas/master/pandas/io/tests/test1.csv')
Out[34]:
index A B C D
0 2000-01-03 00:00:00 0.980269 3.685731 -0.364217 -1.159738
1 2000-01-04 00:00:00 1.047916 -0.041232 -0.161812 0.212549
2 2000-01-05 00:00:00 0.498581 0.731168 -0.537677 1.346270
3 2000-01-06 00:00:00 1.120202 1.567621 0.003641 0.675253
4 2000-01-07 00:00:00 -0.487094 0.571455 -1.611639 0.103469
5 2000-01-10 00:00:00 0.836649 0.246462 0.588543 1.062782
6 2000-01-11 00:00:00 -0.157161 1.340307 1.195778 -1.097007
Please try that and report back here if it does not work. We'll have to figure out how to make the unit test more portable to other platforms (this is the first failure I've seen)
Hi,
I have tried the following with
pandas-f014b01af7bd2d03266697e672c2d41daded3fca.zip
and
pandas-0.10.0.tar.gz
The unit tests on my Pandas build are failing with:
FAIL: test_read_csv (pandas.io.tests.test_parsers.TestCParserHighMemory)
Traceback (most recent call last):
File "/home/woodri/build/out/lib/python2.7/site-packages/pandas-0.10.0-py2.7-linux-x86_64.egg/pandas/io/tests/test_parsers.py", line 109, in test_read_csv
assert(False), "read_csv should accept unicode objects as urls"
AssertionError: read_csv should accept unicode objects as urls
FAIL: test_read_csv (pandas.io.tests.test_parsers.TestCParserLowMemory)
Traceback (most recent call last):
File "/home/woodri/build/out/lib/python2.7/site-packages/pandas-0.10.0-py2.7-linux-x86_64.egg/pandas/io/tests/test_parsers.py", line 109, in test_read_csv
assert(False), "read_csv should accept unicode objects as urls"
AssertionError: read_csv should accept unicode objects as urls
FAIL: test_read_csv (pandas.io.tests.test_parsers.TestPythonParser)
Traceback (most recent call last):
File "/home/woodri/build/out/lib/python2.7/site-packages/pandas-0.10.0-py2.7-linux-x86_64.egg/pandas/io/tests/test_parsers.py", line 109, in test_read_csv
assert(False), "read_csv should accept unicode objects as urls"
AssertionError: read_csv should accept unicode objects as urls
Ran 2934 tests in 193.600s
FAILED (SKIP=44, failures=3)
I have compiled python, cython, numpy, etc. myself. Are there any dependencies or compile options that I am likely to be missing?
Please let me know if there is any other information I can provide to help identify the problem.
Thank you
The text was updated successfully, but these errors were encountered: