本文整理汇总了Python中pandas.offsets.BDay方法的典型用法代码示例。如果您正苦于以下问题：Python offsets.BDay方法的具体用法？Python offsets.BDay怎么用？Python offsets.BDay使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pandas.offsets的用法示例。
在下文中一共展示了offsets.BDay方法的3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: test_scalar
# 需要导入模块: from pandas import offsets [as 别名]
# 或者: from pandas.offsets import BDay [as 别名]
def test_scalar(self):
N = 30
rng = date_range('1/1/1990', periods=N, freq='53s')
ts = Series(np.arange(N), index=rng)
ts[5:10] = np.NaN
ts[15:20] = np.NaN
val1 = ts.asof(ts.index[7])
val2 = ts.asof(ts.index[19])
assert val1 == ts[4]
assert val2 == ts[14]
# accepts strings
val1 = ts.asof(str(ts.index[7]))
assert val1 == ts[4]
# in there
result = ts.asof(ts.index[3])
assert result == ts[3]
# no as of value
d = ts.index[0] - offsets.BDay()
assert np.isnan(ts.asof(d)) 示例2: test_construction_with_ndarray
# 需要导入模块: from pandas import offsets [as 别名]
# 或者: from pandas.offsets import BDay [as 别名]
def test_construction_with_ndarray(self):
# GH 5152
dates = [datetime(2013, 10, 7),
datetime(2013, 10, 8),
datetime(2013, 10, 9)]
data = DatetimeIndex(dates, freq=pd.tseries.frequencies.BDay()).values
result = DatetimeIndex(data, freq=pd.tseries.frequencies.BDay())
expected = DatetimeIndex(['2013-10-07',
'2013-10-08',
'2013-10-09'],
freq='B')
tm.assert_index_equal(result, expected) 示例3: test_periodindex
# 需要导入模块: from pandas import offsets [as 别名]
# 或者: from pandas.offsets import BDay [as 别名]
def test_periodindex(self):
from pandas import period_range, PeriodIndex
# array or list or dates
N = 50
rng = period_range('1/1/1990', periods=N, freq='H')
ts = Series(np.random.randn(N), index=rng)
ts[15:30] = np.nan
dates = date_range('1/1/1990', periods=N * 3, freq='37min')
result = ts.asof(dates)
assert notna(result).all()
lb = ts.index[14]
ub = ts.index[30]
result = ts.asof(list(dates))
assert notna(result).all()
lb = ts.index[14]
ub = ts.index[30]
pix = PeriodIndex(result.index.values, freq='H')
mask = (pix >= lb) & (pix < ub)
rs = result[mask]
assert (rs == ts[lb]).all()
ts[5:10] = np.nan
ts[15:20] = np.nan
val1 = ts.asof(ts.index[7])
val2 = ts.asof(ts.index[19])
assert val1 == ts[4]
assert val2 == ts[14]
# accepts strings
val1 = ts.asof(str(ts.index[7]))
assert val1 == ts[4]
# in there
assert ts.asof(ts.index[3]) == ts[3]
# no as of value
d = ts.index[0].to_timestamp() - offsets.BDay()
assert isna(ts.asof(d))