本文整理匯總了Python中pandas.core.sparse.api.SparseDataFrame.describe方法的典型用法代碼示例。如果您正苦於以下問題：Python SparseDataFrame.describe方法的具體用法？Python SparseDataFrame.describe怎麽用？Python SparseDataFrame.describe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.describe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 describe [as 別名]
#.........這裏部分代碼省略.........
expected = sdf[:2].reindex(index).fillna(method='pad')
expected = expected.to_dense()
expected.values[-3:] = np.nan
expected = expected.to_sparse()
tm.assert_frame_equal(result, expected)
result = sdf[-2:].reindex(index)
result = result.fillna(method='backfill', limit=5)
expected = sdf[-2:].reindex(index).fillna(method='backfill')
expected = expected.to_dense()
expected.values[:3] = np.nan
expected = expected.to_sparse()
tm.assert_frame_equal(result, expected)
def test_rename(self):
result = self.frame.rename(index=str)
expected = SparseDataFrame(self.data, index=self.dates.strftime(
"%Y-%m-%d %H:%M:%S"))
tm.assert_sp_frame_equal(result, expected)
result = self.frame.rename(columns=lambda x: '%s%d' % (x, len(x)))
data = {'A1': [nan, nan, nan, 0, 1, 2, 3, 4, 5, 6],
'B1': [0, 1, 2, nan, nan, nan, 3, 4, 5, 6],
'C1': np.arange(10, dtype=np.float64),
'D1': [0, 1, 2, 3, 4, 5, nan, nan, nan, nan]}
expected = SparseDataFrame(data, index=self.dates)
tm.assert_sp_frame_equal(result, expected)
def test_corr(self):
res = self.frame.corr()
tm.assert_frame_equal(res, self.frame.to_dense().corr())
def test_describe(self):
self.frame['foo'] = np.nan
self.frame.get_dtype_counts()
str(self.frame)
desc = self.frame.describe() # noqa
def test_join(self):
left = self.frame.loc[:, ['A', 'B']]
right = self.frame.loc[:, ['C', 'D']]
joined = left.join(right)
tm.assert_sp_frame_equal(joined, self.frame, exact_indices=False)
right = self.frame.loc[:, ['B', 'D']]
pytest.raises(Exception, left.join, right)
with tm.assert_raises_regex(ValueError,
'Other Series must have a name'):
self.frame.join(Series(
np.random.randn(len(self.frame)), index=self.frame.index))
def test_reindex(self):
def _check_frame(frame):
index = frame.index
sidx = index[::2]
sidx2 = index[:5] # noqa
sparse_result = frame.reindex(sidx)
dense_result = frame.to_dense().reindex(sidx)
tm.assert_frame_equal(sparse_result.to_dense(), dense_result)
tm.assert_frame_equal(frame.reindex(list(sidx)).to_dense(),
dense_result)