COMPAT: sparse issue on compat build #12784
Description
xref #12779
https://travis-ci.org/pydata/pandas/jobs/120431675
I suspect because of numpy=1.7.1
====================================================================== ERROR: test_take (pandas.sparse.tests.test_array.TestSparseArray) ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/travis/build/pydata/pandas/pandas/sparse/tests/test_array.py", line 40, in test_take self.assertEqual(self.arr.take(2), np.take(self.arr_data, 2)) File "/home/travis/miniconda/envs/pandas/lib/python2.7/site-packages/numpy/core/fromnumeric.py", line 104, in take return take(indices, axis, out, mode) ValueError: object of too small depth for desired array on win64, python 3.5, numpy ==1.10.4
This is prob a take issue as well, I think these should always be int32 (the block locations).
====================================================================== FAIL: test_sparse_max_row (pandas.tests.test_format.TestSeriesFormatting) ---------------------------------------------------------------------- Traceback (most recent call last): File "C:\Users\conda\Documents\pandas3.5\pandas\tests\test_format.py", line 3721, in test_sparse_max_row self.assertEqual(result, exp) AssertionError: '0 [98 chars]0, 3])\nBlock lengths: array([1, 1])' != '0 [98 chars]0, 3], dtype=int32)\nBlock length s: array([1, 1], dtype=int32)' 0 1.0 1 NaN 2 NaN 3 3.0 4 NaN dtype: float64 BlockIndex - Block locations: array([0, 3]) + Block locations: array([0, 3], dtype=int32) ? +++++++++++++ - Block lengths: array([1, 1])+ Block lengths: array([1, 1], dtype=int32)? +++++++++++++