本文整理汇总了Python中pandas.SparseSeries类的典型用法代码示例。如果您正苦于以下问题：Python SparseSeries类的具体用法？Python SparseSeries怎么用？Python SparseSeries使用的例子？那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。
在下文中一共展示了SparseSeries类的10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: _create_sp_series
def _create_sp_series():
nan = np.nan
# nan-based
arr = np.arange(15, dtype=np.float64)
arr[7:12] = nan
arr[-1:] = nan
bseries = SparseSeries(arr, kind='block')
bseries.name = u'bseries'
return bseries示例2: _create_sp_tsseries
def _create_sp_tsseries():
nan = np.nan
# nan-based
arr = np.arange(15, dtype=np.float64)
arr[7:12] = nan
arr[-1:] = nan
date_index = bdate_range('1/1/2011', periods=len(arr))
bseries = SparseSeries(arr, index=date_index, kind='block')
bseries.name = u'btsseries'
return bseries示例3: test_where_with_numeric_data_and_other
def test_where_with_numeric_data_and_other(data, other):
# GH 17386
lower_bound = 1.5
sparse = SparseSeries(data)
result = sparse.where(sparse > lower_bound, other)
dense = Series(data)
dense_expected = dense.where(dense > lower_bound, other)
sparse_expected = SparseSeries(dense_expected, fill_value=other)
tm.assert_series_equal(result, dense_expected)
tm.assert_sp_series_equal(result, sparse_expected)示例4: test_where_with_numeric_data
def test_where_with_numeric_data(data):
# GH 17386
lower_bound = 1.5
sparse = SparseSeries(data)
result = sparse.where(sparse > lower_bound)
dense = Series(data)
dense_expected = dense.where(dense > lower_bound)
sparse_expected = SparseSeries(dense_expected)
tm.assert_series_equal(result, dense_expected)
tm.assert_sp_series_equal(result, sparse_expected)示例5: test_where_with_bool_data_and_other
def test_where_with_bool_data_and_other(other):
# GH 17386
data = [False, False, True, True, False, False]
cond = True
sparse = SparseSeries(data)
result = sparse.where(sparse == cond, other)
dense = Series(data)
dense_expected = dense.where(dense == cond, other)
sparse_expected = SparseSeries(dense_expected, fill_value=other)
tm.assert_series_equal(result, dense_expected)
tm.assert_sp_series_equal(result, sparse_expected)示例6: test_where_with_bool_data
def test_where_with_bool_data():
# GH 17386
data = [False, False, True, True, False, False]
cond = True
sparse = SparseSeries(data)
result = sparse.where(sparse == cond)
dense = Series(data)
dense_expected = dense.where(dense == cond)
sparse_expected = SparseSeries(dense_expected)
tm.assert_series_equal(result, dense_expected)
tm.assert_sp_series_equal(result, sparse_expected)示例7: _create_sp_series
def _create_sp_series():
import numpy as np
from pandas import SparseSeries
nan = np.nan
# nan-based
arr = np.arange(15, dtype=np.float64)
arr[7:12] = nan
arr[-1:] = nan
bseries = SparseSeries(arr, kind='block')
bseries.name = 'bseries'
return bseries示例8: _create_sp_series
def _create_sp_series():
import numpy as np
from pandas import bdate_range, SparseSeries
nan = np.nan
# nan-based
arr = np.arange(15, dtype=float)
index = np.arange(15)
arr[7:12] = nan
arr[-1:] = nan
date_index = bdate_range('1/1/2011', periods=len(index))
bseries = SparseSeries(arr, index=index, kind='block')
bseries.name = 'bseries'
return bseries示例9: time_sparse_series_from_coo
def time_sparse_series_from_coo(self):
self.ss = SparseSeries.from_coo(self.A)示例10: time_sparse_series_from_coo
def time_sparse_series_from_coo(self):
SparseSeries.from_coo(self.matrix)