本文整理匯總了Python中pandas.SparseSeries.name方法的典型用法代碼示例。如果您正苦於以下問題：Python SparseSeries.name方法的具體用法？Python SparseSeries.name怎麽用？Python SparseSeries.name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.SparseSeries的用法示例。
在下文中一共展示了SparseSeries.name方法的4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: _create_sp_series
# 需要導入模塊: from pandas import SparseSeries [as 別名]
# 或者: from pandas.SparseSeries import name [as 別名]
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
# 需要導入模塊: from pandas import SparseSeries [as 別名]
# 或者: from pandas.SparseSeries import name [as 別名]
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: _create_sp_series
# 需要導入模塊: from pandas import SparseSeries [as 別名]
# 或者: from pandas.SparseSeries import name [as 別名]
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4: _create_sp_series
# 需要導入模塊: from pandas import SparseSeries [as 別名]
# 或者: from pandas.SparseSeries import name [as 別名]
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