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Pandas | Timestamp constructor

Programming
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Python
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Pandas
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Documentation
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Datetimes
schedule Jul 1, 2022
Last updated
local_offer PythonPandas
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Timestamp is the Pandas' implementation of Python's Datetime, and their functionality and properties are nearly identical. Timestamp is the underlying data structure used for DatetimeIndex.

Parameters

1. ts_input | datetime-like or string or int or numeric

The value used to create the Timestamp.

2. freqlink | string or DateOffset | optional

The interval of the Timestamp.

3. tzlink | string or pytz.timezone or dateutil.tz.tzfile | optional

The timezone of the Timestamp.

4. unitlink | string | optional

The unit used for the timestamp:

"D", "h", "m", "s", "ms", "us" and "ns"

5. yearlink | int | optional

The year unit.

6. monthlink | int | optional

The month unit.

7. daylink | int | optional

The day unit.

NOTE

You can initialise Timestamp in two different ways:

  • specify ts_input that includes information about the year, month and day (e.g. "2020-01-15").

  • specify year, month and day.

8. hour | int | optional

By default, hour=0.

9. minute | int | optional

By default, minute=0.

10. second | int | optional

By default, second=0.

11. microsecond | int | optional

By default, microsecond=0.

Return Value

A Timestamp object.

Examples

Basic usage

To create a Timestamp object from a date string:

pd.Timestamp("2020-01-25")
Timestamp('2020-01-25 00:00:00')

To create a Timestamp with time units:

pd.Timestamp("2020-01-25 22:15:25")
Timestamp('2020-01-25 22:15:25')

Specifying freq

To create a Timestamp with a frequency of a day:

pd.Timestamp("2020-01-25", freq="D")
Timestamp('2020-01-25 00:00:00', freq='D')

The parameter freq is rarely used for individual timestamps. They are commonly used in methods such as date_range(~) that creates a sequence of timestamps.

Specifying tz

To create a Timestamp that is timezone-aware:

pd.Timestamp("2020-01-25", tz="Asia/Tokyo")
Timestamp('2020-01-25 00:00:00+0900', tz='Asia/Tokyo')

Specifying unit

To create a Timestamp using UNIX timestamp:

pd.Timestamp(1608854400, unit="s")
Timestamp('2020-12-25 00:00:00')

Here, 1608854400 represents the seconds passed since January 1st, 1970 (UTC).

Specifying year, month and day

To create a Timestamp using individual time parameters:

pd.Timestamp(year=2020, month=1, day=25)
Timestamp('2020-01-25 00:00:00')

Note that you must specify all three of these parameters, otherwise an error will be thrown.

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Published by Isshin Inada
Edited by 0 others
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