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 = SparseTimeSeries(arr, index=date_index, kind='block')
bseries.name = 'btsseries'
return bseries
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 = SparseTimeSeries(arr, index=date_index, kind='block')
bseries.name = 'btsseries'
return bseries
def _create_sp_tsseries():
import numpy as np
from pandas import bdate_range, SparseTimeSeries
nan = np.nan
# nan-based
arr = np.arange(15, dtype=np.float64)
index = np.arange(15)
arr[7:12] = nan
arr[-1:] = nan
date_index = bdate_range('1/1/2011', periods=len(index))
bseries = SparseTimeSeries(arr, index=date_index, kind='block')
bseries.name = 'btsseries'
return bseries
def _create_sp_tsseries():
import numpy as np
from pandas import bdate_range, SparseTimeSeries
nan = np.nan
# nan-based
arr = np.arange(15, dtype=np.float64)
index = np.arange(15)
arr[7:12] = nan
arr[-1:] = nan
date_index = bdate_range('1/1/2011', periods=len(index))
bseries = SparseTimeSeries(arr, index=date_index, kind='block')
bseries.name = 'btsseries'
return bseries
