I use Show
But this is really slow since I have many rows and it sort of defeats the purpose of using
jpp 152k32 gold badges256 silver badges319 bronze badges asked Apr 23, 2013 at 18:50 0 Since version
The above returns a
This keeps the
answered Dec 14, 2015 at 22:07
EdChumEdChum 351k194 gold badges776 silver badges548 bronze badges 3 Simple Solution:
answered May 20, 2019 at 10:11
Gil BaggioGil Baggio 11.7k3 gold badges47 silver badges34 bronze badges 1 While I upvoted EdChum's answer, which is the most direct answer to the question the OP posed, it does not really solve the performance problem (it still relies on
python A better performing alternative is to use
... and it is much more efficient, since the operation is vectorized. EDIT: in fact, the answer the OP's would have preferred is probably "recent versions of answered Jan 18, 2017 at 11:57
Pietro BattistonPietro Battiston 7,3773 gold badges39 silver badges44 bronze badges 5 Pandas v0.13+: Use to_csv with date_format parameterAvoid, where possible, converting your Since your concern is format when writing to CSV, just use the
See Python's answered Dec 14, 2018 at 0:19
jppjpp 152k32 gold badges256 silver badges319 bronze badges 0 Pandas You can read more about it in this answer. It can be used as
Asclepius 52.1k15 gold badges150 silver badges131 bronze badges answered Nov 2, 2016 at 12:31
j08luej08lue 1,5872 gold badges20 silver badges35 bronze badges This is a simple way to extract the date:
Nic Scozzaro 5,6151 gold badge35 silver badges44 bronze badges answered Dec 11, 2017 at 12:02
2 Just giving a more up to date answer in case someone sees this old post. Adding "utc=False" when converting to datetime will remove the timezone component and keep only the date in a datetime64[ns] data type.
You will be able to save it in excel without getting the error "ValueError: Excel does not support datetimes with timezones. Please ensure that datetimes are timezone unaware before writing to Excel." answered Nov 17, 2019 at 19:16
KatekarinKatekarin 1841 silver badge8 bronze badges 2
This will give you just the dates and NO TIME at your desired format. You can change format according
to your need If you want just the dates and DO NOT want time in
The datatype will be For
answered Aug 5, 2021 at 19:43
Talha TayyabTalha Tayyab 2,30814 gold badges16 silver badges28 bronze badges 1 Converting to
Though re-assigning that to a DataFrame col will revert it back to [ns]. If you wanted actual
answered Apr 23, 2013 at 20:07
DaleDale 3,9601 gold badge18 silver badges13 bronze badges 3 I wanted to be able to change the type for a set of columns in a data frame and then remove the time keeping the day. round(), floor(), ceil() all work
answered May 4, 2020 at 22:20
On tables of >1000000 rows I've found that these are both fast, with
or
If your index has timezones and you don't want those in the result, do:
Note that I've used the index as the date source here; if your source is another column, you would need to add answered Nov 30, 2020 at 13:02
fantabolousfantabolous 19.7k6 gold badges52 silver badges47 bronze badges This worked for me on UTC Timestamp (2020-08-19T09:12:57.945888)
answered Sep 8, 2020 at 9:45
PunnerudPunnerud 5,9822 gold badges47 silver badges41 bronze badges How do I get only the date in Python?For this, we will use the strptime() method and Pandas module. This method is used to create a DateTime object from a string. Then we will extract the date from the DateTime object using the date() function and dt. date from Pandas in Python.
How do I get only date not time in Python?We can use strftime() to easily remove the time from datetime variables. For example, if you want to print out the date in the format “YYYY-MM-DD”, we pass “%Y-%m-%d” to strfttime() and no time is printed. Below is a simple Python example of how to print the date without time using strftime().
How do I extract a date from a datetime Dataframe in Python?Method 1 : Using date function. dataframe is the input dataframe.. to_datetime is the function used to convert datetime string to datetime.. DateTime is the datetime column in the dataframe.. dt. date is used to convert datetime to date.. Date column is the new column to get the date from the datetime.. What does PD To_datetime do?Convert argument to datetime. This function converts a scalar, array-like, Series or DataFrame /dict-like to a pandas datetime object. The object to convert to a datetime.
|