我们从Python开源项目中，提取了以下11个代码示例，用于说明如何使用numpy.busday_count()。
def _compute_busday_offsets(announcement_dates): """ Compute expected business day offsets from a DataFrame of announcement dates. """ # Column-vector of dates on which factor `compute` will be called. raw_call_dates = announcement_dates.index.values.astype( 'datetime64[D]' )[:, None] # 2D array of dates containining expected nexg announcement. raw_announce_dates = ( announcement_dates.values.astype('datetime64[D]') ) # Set NaTs to 0 temporarily because busday_count doesn't support NaT. # We fill these entries with NaNs later. whereNaT = raw_announce_dates == NaTD raw_announce_dates[whereNaT] = make_datetime64D(0) # The abs call here makes it so that we can use this function to # compute offsets for both next and previous earnings (previous # earnings offsets come back negative). expected = abs(np.busday_count( raw_call_dates, raw_announce_dates ).astype(float)) expected[whereNaT] = np.nan return pd.DataFrame( data=expected, columns=announcement_dates.columns, index=announcement_dates.index, )
def test_datetime_busday_holidays_count(self): holidays = ['2011-01-01', '2011-10-10', '2011-11-11', '2011-11-24', '2011-12-25', '2011-05-30', '2011-02-21', '2011-01-17', '2011-12-26', '2012-01-02', '2011-02-21', '2011-05-30', '2011-07-01', '2011-07-04', '2011-09-05', '2011-10-10'] bdd = np.busdaycalendar(weekmask='1111100', holidays=holidays) # Validate against busday_offset broadcast against # a range of offsets dates = np.busday_offset('2011-01-01', np.arange(366), roll='forward', busdaycal=bdd) assert_equal(np.busday_count('2011-01-01', dates, busdaycal=bdd), np.arange(366)) # Returns negative value when reversed assert_equal(np.busday_count(dates, '2011-01-01', busdaycal=bdd), -np.arange(366)) dates = np.busday_offset('2011-12-31', -np.arange(366), roll='forward', busdaycal=bdd) assert_equal(np.busday_count(dates, '2011-12-31', busdaycal=bdd), np.arange(366)) # Returns negative value when reversed assert_equal(np.busday_count('2011-12-31', dates, busdaycal=bdd), -np.arange(366)) # Can't supply both a weekmask/holidays and busdaycal assert_raises(ValueError, np.busday_offset, '2012-01-03', '2012-02-03', weekmask='1111100', busdaycal=bdd) assert_raises(ValueError, np.busday_offset, '2012-01-03', '2012-02-03', holidays=holidays, busdaycal=bdd) # Number of Mondays in March 2011 assert_equal(np.busday_count('2011-03', '2011-04', weekmask='Mon'), 4) # Returns negative value when reversed assert_equal(np.busday_count('2011-04', '2011-03', weekmask='Mon'), -4)
def busday_count_mask_NaT(begindates, enddates, out=None): """ Simple of numpy.busday_count that returns `float` arrays rather than int arrays, and handles `NaT`s by returning `NaN`s where the inputs were `NaT`. Doesn't support custom weekdays or calendars, but probably should in the future. See Also -------- np.busday_count """ if out is None: out = empty(broadcast(begindates, enddates).shape, dtype=float) beginmask = isnat(begindates) endmask = isnat(enddates) out = busday_count( # Temporarily fill in non-NaT values. where(beginmask, _notNaT, begindates), where(endmask, _notNaT, enddates), out=out, ) # Fill in entries where either comparison was NaT with nan in the output. out[beginmask | endmask] = nan return out
def get_times(now, then): """Calculate the remaining time.""" total = then - now days = total.days weeks = total.days // 7 bus_days = np.busday_count(now, then) return weeks, days, bus_days, total
def get_time_delta(today, date_list, trading_calendar=True): delta_list = [] if trading_calendar: year = 252 calendar = USTradingCalendar() for date in date_list: trading_holidays = calendar.holidays(today, date).tolist() delta = np.busday_count(today, date, holidays=trading_holidays) + 1 delta_list.append(delta) else: year = 365 for date in date_list: delta = abs((today - date).days) + 1 delta_list.append(delta) delta_list = np.array(delta_list) normalized = delta_list / float(year) return delta_list, normalized # Get tape
