本文整理汇总了Python中pandas.sparse.array.BlockIndex.to_int_index方法的典型用法代码示例。如果您正苦于以下问题：Python BlockIndex.to_int_index方法的具体用法？Python BlockIndex.to_int_index怎么用？Python BlockIndex.to_int_index使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pandas.sparse.array.BlockIndex的用法示例。
在下文中一共展示了BlockIndex.to_int_index方法的5个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: _check_case
# 需要导入模块: from pandas.sparse.array import BlockIndex [as 别名]
# 或者: from pandas.sparse.array.BlockIndex import to_int_index [as 别名]
def _check_case(xloc, xlen, yloc, ylen, eloc, elen):
xindex = BlockIndex(TEST_LENGTH, xloc, xlen)
yindex = BlockIndex(TEST_LENGTH, yloc, ylen)
xdindex = xindex.to_int_index()
ydindex = yindex.to_int_index()
x = np.arange(xindex.npoints) * 10. + 1
y = np.arange(yindex.npoints) * 100. + 1
xfill = 0
yfill = 2
result_block_vals, rb_index, bfill = sparse_op(x, xindex, xfill, y,
yindex, yfill)
result_int_vals, ri_index, ifill = sparse_op(x, xdindex, xfill, y,
ydindex, yfill)
self.assertTrue(rb_index.to_int_index().equals(ri_index))
tm.assert_numpy_array_equal(result_block_vals, result_int_vals)
self.assertEqual(bfill, ifill)
# check versus Series...
xseries = Series(x, xdindex.indices)
xseries = xseries.reindex(np.arange(TEST_LENGTH)).fillna(xfill)
yseries = Series(y, ydindex.indices)
yseries = yseries.reindex(np.arange(TEST_LENGTH)).fillna(yfill)
series_result = python_op(xseries, yseries)
series_result = series_result.reindex(ri_index.indices)
tm.assert_numpy_array_equal(result_block_vals,
series_result.values)
tm.assert_numpy_array_equal(result_int_vals, series_result.values)示例2: _check_case
# 需要导入模块: from pandas.sparse.array import BlockIndex [as 别名]
# 或者: from pandas.sparse.array.BlockIndex import to_int_index [as 别名]
def _check_case(xloc, xlen, yloc, ylen, eloc, elen):
xindex = BlockIndex(TEST_LENGTH, xloc, xlen)
yindex = BlockIndex(TEST_LENGTH, yloc, ylen)
expected = BlockIndex(TEST_LENGTH, eloc, elen)
longer_index = BlockIndex(TEST_LENGTH + 1, yloc, ylen)
_check_correct(xindex, yindex, expected)
_check_correct(xindex.to_int_index(), yindex.to_int_index(),
expected.to_int_index())
_check_length_exc(xindex, longer_index)
_check_length_exc(xindex.to_int_index(), longer_index.to_int_index())示例3: test_to_int_index
# 需要导入模块: from pandas.sparse.array import BlockIndex [as 别名]
# 或者: from pandas.sparse.array.BlockIndex import to_int_index [as 别名]
def test_to_int_index(self):
locs = [0, 10]
lengths = [4, 6]
exp_inds = [0, 1, 2, 3, 10, 11, 12, 13, 14, 15]
block = BlockIndex(20, locs, lengths)
dense = block.to_int_index()
assert_equal(dense.indices, exp_inds)示例4: test_to_int_index
# 需要导入模块: from pandas.sparse.array import BlockIndex [as 别名]
# 或者: from pandas.sparse.array.BlockIndex import to_int_index [as 别名]
def test_to_int_index(self):
locs = [0, 10]
lengths = [4, 6]
exp_inds = [0, 1, 2, 3, 10, 11, 12, 13, 14, 15]
block = BlockIndex(20, locs, lengths)
dense = block.to_int_index()
tm.assert_numpy_array_equal(dense.indices,
np.array(exp_inds, dtype=np.int32))示例5: test_lookup_basics
# 需要导入模块: from pandas.sparse.array import BlockIndex [as 别名]
# 或者: from pandas.sparse.array.BlockIndex import to_int_index [as 别名]
def test_lookup_basics(self):
def _check(index):
assert (index.lookup(0) == -1)
assert (index.lookup(5) == 0)
assert (index.lookup(7) == 2)
assert (index.lookup(8) == -1)
assert (index.lookup(9) == -1)
assert (index.lookup(10) == -1)
assert (index.lookup(11) == -1)
assert (index.lookup(12) == 3)
assert (index.lookup(17) == 8)
assert (index.lookup(18) == -1)
bindex = BlockIndex(20, [5, 12], [3, 6])
iindex = bindex.to_int_index()
_check(bindex)
_check(iindex)