Exemplo n.º 1
0
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 = 'bseries'
    return bseries
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
Exemplo n.º 3
0
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 = '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 = SparseSeries(arr, index=date_index, kind='block')
    bseries.name = u'btsseries'
    return bseries
Exemplo n.º 5
0
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
Exemplo n.º 6
0
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
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