本文整理汇总了Python中pandas.sparse.api.SparseList.to_array方法的典型用法代码示例。如果您正苦于以下问题：Python SparseList.to_array方法的具体用法？Python SparseList.to_array怎么用？Python SparseList.to_array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.api.SparseList的用法示例。
在下文中一共展示了SparseList.to_array方法的7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: test_append_zero
# 需要导入模块: from pandas.sparse.api import SparseList [as 别名]
# 或者: from pandas.sparse.api.SparseList import to_array [as 别名]
def test_append_zero(self):
arr = self.zero_data
splist = SparseList(fill_value=0)
splist.append(arr[:5])
splist.append(arr[5])
splist.append(arr[6:])
sparr = splist.to_array()
assert_sp_array_equal(sparr, SparseArray(arr, fill_value=0))示例2: test_append_na
# 需要导入模块: from pandas.sparse.api import SparseList [as 别名]
# 或者: from pandas.sparse.api.SparseList import to_array [as 别名]
def test_append_na(self):
arr = self.na_data
splist = SparseList()
splist.append(arr[:5])
splist.append(arr[5])
splist.append(arr[6:])
sparr = splist.to_array()
assert_sp_array_equal(sparr, SparseArray(arr))示例3: test_append_na
# 需要导入模块: from pandas.sparse.api import SparseList [as 别名]
# 或者: from pandas.sparse.api.SparseList import to_array [as 别名]
def test_append_na(self):
with tm.assert_produces_warning(FutureWarning):
arr = self.na_data
splist = SparseList()
splist.append(arr[:5])
splist.append(arr[5])
splist.append(arr[6:])
sparr = splist.to_array()
tm.assert_sp_array_equal(sparr, SparseArray(arr))示例4: test_append_zero
# 需要导入模块: from pandas.sparse.api import SparseList [as 别名]
# 或者: from pandas.sparse.api.SparseList import to_array [as 别名]
def test_append_zero(self):
with tm.assert_produces_warning(FutureWarning):
arr = self.zero_data
splist = SparseList(fill_value=0)
splist.append(arr[:5])
splist.append(arr[5])
splist.append(arr[6:])
sparr = splist.to_array()
tm.assert_sp_array_equal(sparr, SparseArray(arr, fill_value=0))示例5: test_append_zero
# 需要导入模块: from pandas.sparse.api import SparseList [as 别名]
# 或者: from pandas.sparse.api.SparseList import to_array [as 别名]
def test_append_zero(self):
with tm.assert_produces_warning(FutureWarning):
arr = self.zero_data
splist = SparseList(fill_value=0)
splist.append(arr[:5])
splist.append(arr[5])
splist.append(arr[6:])
# list always produces int64, but SA constructor
# is platform dtype aware
sparr = splist.to_array()
exp = SparseArray(arr, fill_value=0)
tm.assert_sp_array_equal(sparr, exp, check_dtype=False)示例6: test_consolidate
# 需要导入模块: from pandas.sparse.api import SparseList [as 别名]
# 或者: from pandas.sparse.api.SparseList import to_array [as 别名]
def test_consolidate(self):
arr = self.na_data
exp_sparr = SparseArray(arr)
splist = SparseList()
splist.append(arr[:5])
splist.append(arr[5])
splist.append(arr[6:])
consol = splist.consolidate(inplace=False)
self.assertEqual(consol.nchunks, 1)
self.assertEqual(splist.nchunks, 3)
assert_sp_array_equal(consol.to_array(), exp_sparr)
splist.consolidate()
self.assertEqual(splist.nchunks, 1)
assert_sp_array_equal(splist.to_array(), exp_sparr)示例7: test_consolidate
# 需要导入模块: from pandas.sparse.api import SparseList [as 别名]
# 或者: from pandas.sparse.api.SparseList import to_array [as 别名]
def test_consolidate(self):
with tm.assert_produces_warning(FutureWarning,
check_stacklevel=False):
arr = self.na_data
exp_sparr = SparseArray(arr)
splist = SparseList()
splist.append(arr[:5])
splist.append(arr[5])
splist.append(arr[6:])
consol = splist.consolidate(inplace=False)
self.assertEqual(consol.nchunks, 1)
self.assertEqual(splist.nchunks, 3)
tm.assert_sp_array_equal(consol.to_array(), exp_sparr)
splist.consolidate()
self.assertEqual(splist.nchunks, 1)
tm.assert_sp_array_equal(splist.to_array(), exp_sparr)