def sparse_series_date(self):
arr, index = self.create_numpy_data_nan()
date_index = pandas.bdate_range("1/1/2011", periods=len(index))
return pandas.SparseSeries(arr,
index=date_index,
kind="block",
name="bseries")
def sparse_series_dict(self):
d = OrderedDict()
d["b"] = 1
d["a"] = 0
d["c"] = 2
return pandas.SparseSeries(d)
def sparse_series_dict_indexed(self):
constructor_dict = {1: 1.0}
index = [0, 1, 2]
# Series with index passed in
series = pandas.Series(constructor_dict)
return pandas.SparseSeries(series, index=index)
def sparse_series_dict(self):
d = OrderedDict()
d['b'] = 1
d['a'] = 0
d['c'] = 2
return pandas.SparseSeries(d)
