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Several variants of integer value 1. The zero-dim integer array
behaves like an integer.
This fixture can be used to check that datetimelike indexes handle
addition and subtraction of integers and zero-dimensional arrays
of integers.
Examples
--------
dti = pd.date_range('2016-01-01', periods=2, freq='h')
dti
DatetimeIndex(['2016-01-01 00:00:00', '2016-01-01 01:00:00'],
dtype='datetime64[ns]', freq='h')
dti + one
DatetimeIndex(['2016-01-01 01:00:00', '2016-01-01 02:00:00'],
dtype='datetime64[ns]', freq='h')
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Several types of scalar zeros and length 5 vectors of zeros.
This fixture can be used to check that numeric-dtype indexes handle
division by any zero numeric-dtype.
Uses vector of length 5 for broadcasting with `numeric_idx` fixture,
which creates numeric-dtype vectors also of length 5.
Examples
--------
arr = RangeIndex(5)
arr / zeros
Index([nan, inf, inf, inf, inf], dtype='float64')
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Several timedelta-like and DateOffset objects that each represent
a 3-day timedelta
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Several timedelta-like and DateOffset objects that each represent
a 2-hour timedelta
r r
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Several timedelta-like and DateOffset instances that are _not_
compatible with Daily frequencies.
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