本文整理匯總了Python中pandas.core.sparse.api.SparseDataFrame.set_value方法的典型用法代碼示例。如果您正苦於以下問題：Python SparseDataFrame.set_value方法的具體用法？Python SparseDataFrame.set_value怎麽用？Python SparseDataFrame.set_value使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類pandas.core.sparse.api.SparseDataFrame的用法示例。
在下文中一共展示了SparseDataFrame.set_value方法的1個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: TestSparseDataFrame
# 需要導入模塊: from pandas.core.sparse.api import SparseDataFrame [as 別名]
# 或者: from pandas.core.sparse.api.SparseDataFrame import set_value [as 別名]
#.........這裏部分代碼省略.........
foo = self.frame + self.empty
assert isinstance(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)
pytest.raises(Exception, sdf.__getitem__, ['a', 'd'])
def test_iloc(self):
# 2227
result = self.frame.iloc[:, 0]
assert 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')
tm.assert_class_equal(iframe['A'].sp_index,
iframe.iloc[:, 0].sp_index)
def test_set_value(self):
# ok, as the index gets converted to object
frame = self.frame.copy()
with tm.assert_produces_warning(FutureWarning,
check_stacklevel=False):
res = frame.set_value('foobar', 'B', 1.5)
assert res.index.dtype == 'object'
res = self.frame
res.index = res.index.astype(object)
with tm.assert_produces_warning(FutureWarning,
check_stacklevel=False):
res = self.frame.set_value('foobar', 'B', 1.5)
assert res is not self.frame
assert res.index[-1] == 'foobar'
with tm.assert_produces_warning(FutureWarning,
check_stacklevel=False):
assert res.get_value('foobar', 'B') == 1.5
with tm.assert_produces_warning(FutureWarning,
check_stacklevel=False):
res2 = res.set_value('foobar', 'qux', 1.5)
assert res2 is not res
tm.assert_index_equal(res2.columns,
pd.Index(list(self.frame.columns) + ['qux']))
with tm.assert_produces_warning(FutureWarning,
check_stacklevel=False):
assert res2.get_value('foobar', 'qux') == 1.5
def test_fancy_index_misc(self):
# axis = 0