pandas.TimedeltaIndex

class pandas.TimedeltaIndex

Immutable ndarray of timedelta64 data, represented internally as int64, and which can be boxed to timedelta objects

Parameters:

data : array-like (1-dimensional), optional

Optional timedelta-like data to construct index with

unit: unit of the arg (D,h,m,s,ms,us,ns) denote the unit, optional

which is an integer/float number

freq: a frequency for the index, optional

copy : bool

Make a copy of input ndarray

start : starting value, timedelta-like, optional

If data is None, start is used as the start point in generating regular timedelta data.

periods : int, optional, > 0

Number of periods to generate, if generating index. Takes precedence over end argument

end : end time, timedelta-like, optional

If periods is none, generated index will extend to first conforming time on or just past end argument

closed : string or None, default None

Make the interval closed with respect to the given frequency to the ‘left’, ‘right’, or both sides (None)

name : object

Name to be stored in the index

Attributes

T return the transpose, which is by definition self
asi8
asobject
base return the base object if the memory of the underlying data is shared
components Return a dataframe of the components (days, hours, minutes, seconds, milliseconds, microseconds, nanoseconds) of the Timedeltas.
data return the data pointer of the underlying data
days Number of days for each element.
dtype
dtype_str
flags
freq
freqstr return the frequency object as a string if its set, otherwise None
has_duplicates
hasnans
inferred_freq
inferred_type
is_all_dates
is_monotonic alias for is_monotonic_increasing (deprecated)
is_monotonic_decreasing return if the index is monotonic decreasing (only equal or
is_monotonic_increasing return if the index is monotonic increasing (only equal or
is_unique
itemsize return the size of the dtype of the item of the underlying data
microseconds Number of microseconds (>= 0 and less than 1 second) for each element.
name
names
nanoseconds Number of nanoseconds (>= 0 and less than 1 microsecond) for each element.
nbytes return the number of bytes in the underlying data
ndim return the number of dimensions of the underlying data, by definition 1
nlevels
resolution
seconds Number of seconds (>= 0 and less than 1 day) for each element.
shape return a tuple of the shape of the underlying data
size return the number of elements in the underlying data
strides return the strides of the underlying data
values return the underlying data as an ndarray

Methods