Description
For example:
dr = pandas.date_range('03/06/2012 00:00', periods=25, freq='W-FRI', tz='US/Eastern')
<class 'pandas.tseries.index.DatetimeIndex'>
[2012-03-09 00:00:00, ..., 2012-08-24 00:00:00]
Length: 25, Freq: W-FRI, Timezone: US/Easterndr + pandas.datetools.BDay()
<class 'pandas.tseries.index.DatetimeIndex'>
[2012-03-12 05:00:00, ..., 2012-08-27 04:00:00]
Length: 25, Freq: None, Timezone: US/Eastern
Contrast with a timezone-naive DatetimeIndex:
dr = pandas.date_range('03/06/2012 00:00', periods=25, freq='W-FRI')
<class 'pandas.tseries.index.DatetimeIndex'>
[2012-03-09 00:00:00, ..., 2012-08-24 00:00:00]
Length: 25, Freq: W-FRI, Timezone: Nonedr + pandas.datetools.BDay()
<class 'pandas.tseries.index.DatetimeIndex'>
[2012-03-12 00:00:00, ..., 2012-08-27 00:00:00]
Length: 25, Freq: W-MON, Timezone: None