本文整理汇总了Python中pandas.sparse.api.SparseDataFrame.set_value方法的典型用法代码示例。如果您正苦于以下问题：Python SparseDataFrame.set_value方法的具体用法？Python SparseDataFrame.set_value怎么用？Python SparseDataFrame.set_value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.SparseDataFrame的用法示例。
在下文中一共展示了SparseDataFrame.set_value方法的2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: TestSparseDataFrame
# 需要导入模块: from pandas.sparse.api import SparseDataFrame [as 别名]
# 或者: from pandas.sparse.api.SparseDataFrame import set_value [as 别名]
#.........这里部分代码省略.........
tm.assertIsInstance(foo.index, DatetimeIndex)
tm.assert_frame_equal(foo, self.frame * np.nan)
foo = self.empty + self.frame
tm.assert_frame_equal(foo, self.frame * np.nan)
def test_scalar_ops(self):
pass
def test_getitem(self):
# 1585 select multiple columns
sdf = SparseDataFrame(index=[0, 1, 2], columns=['a', 'b', 'c'])
result = sdf[['a', 'b']]
exp = sdf.reindex(columns=['a', 'b'])
tm.assert_sp_frame_equal(result, exp)
self.assertRaises(Exception, sdf.__getitem__, ['a', 'd'])
def test_icol(self):
# 10711 deprecated
# 2227
result = self.frame.iloc[:, 0]
self.assertTrue(isinstance(result, SparseSeries))
tm.assert_sp_series_equal(result, self.frame['A'])
# preserve sparse index type. #2251
data = {'A': [0, 1]}
iframe = SparseDataFrame(data, default_kind='integer')
self.assertEqual(type(iframe['A'].sp_index),
type(iframe.iloc[:, 0].sp_index))
def test_set_value(self):
# ok as the index gets conver to object
frame = self.frame.copy()
res = frame.set_value('foobar', 'B', 1.5)
self.assertEqual(res.index.dtype, 'object')
res = self.frame
res.index = res.index.astype(object)
res = self.frame.set_value('foobar', 'B', 1.5)
self.assertIsNot(res, self.frame)
self.assertEqual(res.index[-1], 'foobar')
self.assertEqual(res.get_value('foobar', 'B'), 1.5)
res2 = res.set_value('foobar', 'qux', 1.5)
self.assertIsNot(res2, res)
self.assert_index_equal(res2.columns,
pd.Index(list(self.frame.columns) + ['qux']))
self.assertEqual(res2.get_value('foobar', 'qux'), 1.5)
def test_fancy_index_misc(self):
# axis = 0
sliced = self.frame.ix[-2:, :]
expected = self.frame.reindex(index=self.frame.index[-2:])
tm.assert_sp_frame_equal(sliced, expected)
# axis = 1
sliced = self.frame.ix[:, -2:]
expected = self.frame.reindex(columns=self.frame.columns[-2:])
tm.assert_sp_frame_equal(sliced, expected)
def test_getitem_overload(self):示例2: TestSparseDataFrame
# 需要导入模块: from pandas.sparse.api import SparseDataFrame [as 别名]
# 或者: from pandas.sparse.api.SparseDataFrame import set_value [as 别名]
#.........这里部分代码省略.........
for op in ops:
_compare_to_dense(frame, frame[::2], frame.to_dense(), frame[::2].to_dense(), op)
for s in series:
_compare_to_dense(frame, s, frame.to_dense(), s.to_dense(), op)
_compare_to_dense(s, frame, s.to_dense(), frame.to_dense(), op)
# cross-sectional operations
series = [frame.xs(fidx[0]), frame.xs(fidx[3]), frame.xs(fidx[5]), frame.xs(fidx[7]), frame.xs(fidx[5])[:2]]
for op in ops:
for s in series:
_compare_to_dense(frame, s, frame.to_dense(), s, op)
_compare_to_dense(s, frame, s, frame.to_dense(), op)
# it works!
result = self.frame + self.frame.ix[:, ["A", "B"]]
def test_op_corners(self):
empty = self.empty + self.empty
self.assert_(not empty)
foo = self.frame + self.empty
assert_frame_equal(foo, self.frame * np.nan)
foo = self.empty + self.frame
assert_frame_equal(foo, self.frame * np.nan)
def test_scalar_ops(self):
pass
def test_getitem(self):
pass
def test_set_value(self):
res = self.frame.set_value("foobar", "B", 1.5)
self.assert_(res is not self.frame)
self.assert_(res.index[-1] == "foobar")
self.assertEqual(res.get_value("foobar", "B"), 1.5)
res2 = res.set_value("foobar", "qux", 1.5)
self.assert_(res2 is not res)
self.assert_(np.array_equal(res2.columns, list(self.frame.columns) + ["qux"]))
self.assertEqual(res2.get_value("foobar", "qux"), 1.5)
def test_fancy_index_misc(self):
# axis = 0
sliced = self.frame.ix[-2:, :]
expected = self.frame.reindex(index=self.frame.index[-2:])
assert_sp_frame_equal(sliced, expected)
# axis = 1
sliced = self.frame.ix[:, -2:]
expected = self.frame.reindex(columns=self.frame.columns[-2:])
assert_sp_frame_equal(sliced, expected)
def test_getitem_overload(self):
# slicing
sl = self.frame[:20]
assert_sp_frame_equal(sl, self.frame.reindex(self.frame.index[:20]))
# boolean indexing
d = self.frame.index[5]
indexer = self.frame.index > d
subindex = self.frame.index[indexer]
subframe = self.frame[indexer]