Python Datetime Tutorial: Manipulate Times, Dates, and Time Spans (2023)

Dealing with dates and times in Python can be a hassle. Thankfully, there’s a built-in way of making it easier: the Python datetime module.

datetimehelps us identify and process time-related elements like dates, hours, minutes, seconds, days of the week, months, years, etc. It offers various services like managing time zones and daylight savings time. It can work with timestamp data. It can extract the day of the week, day of the month, and other date and time formats from strings.

In short, it’s a really powerful way of handling anything date and time related in Python. So let’s get into it!

In this tutorial, we’ll learn about python datetime functions in detail, including:

  • Creating Date Objects
  • Getting year and month from the date
  • Getting month day and Weekday from date
  • Getting hour and minutes from the date
  • Getting Week number of the year from date
  • Converting date object into timestamp
  • Converting UNIX timestamp string to date object
  • Handling timedelta objects
  • Getting the difference between two dates and times
  • Formatting dates: strftime() and strptime()
  • Handling timezones
  • Working with Pandas datetime objects
    • Getting year, month, day, hour, and minute
    • Getting weekday and day of year
    • Converting date objects into a DataFrame index

As you work through this tutorial, we’d encourage you to run the code on your own machine. Alternatively, if you’d like to run code in your browser and learn in an interactive fashion with answer-checking to be sure you’re getting it right, ourPython intermediate coursehasa lesson on datetime in Pythonthat we recommend. You can start learning bysigning up for a free user account.

Python datetime Classes

Before jumping into writing code, it’s worth looking at the five main object classes that are used in thedatetimemodule. Depending on what we’re trying to do, we’ll likely need to make use of one or more of these distinct classes:

  • datetime– Allows us to manipulate times and dates together (month, day, year, hour, second, microsecond).
  • date– Allows us to manipulate dates independent of time (month, day, year).
  • time– Allows us to manipulate time independent of date (hour, minute, second, microsecond).
  • timedelta— Adurationof time used for manipulating dates and measuring.
  • tzinfo— An abstract class for dealing with time zones.

If those distinctions don’t make sense yet, don’t worry! Let’s dive intodatetimeand start working with it to better understand how these are applied.

Creating Date Objects

First, let’s take a closer look at adatetimeobject. Sincedatetimeis both a module and a class within that module, we’ll start by importing thedatetimeclass from thedatetimemodule.

Then, we’ll print the current date and time to take a closer look at what’s contained in adatetimeobject. We can do this usingdatetime‘ We’ll print our datetime object, and then also print its type usingtype()so we can take a closer look.

# import datetime class from datetime modulefrom datetime import datetime# get current datedatetime_object ='Type :- ',type(datetime_object))
2019-10-25 10:24:01.521881Type :- 'datetime.datetime'

We can see from the results above that datetime_objectis indeed adatetimeobject of thedatetimeclass. This includes the year, month, day, hour, minute, second, and microsecond.

Extract Year and Month from the Date

Now we’ve seen what makes up adatetimeobject, we can probably guess howdateandtimeobjects look, because we know thatdateobjects are just likedatetimewithout the time data, andtimeobjects are just likedatetimewithout the date data.

We can also antipate some problems. For example, in most data sets, date and time information is stored in string format! Also, we may notwantall of this date and time data — if we’re doing something like a monthly sales analysis, breaking things down by microsecond isn’t going to be very useful.

So now, let’s start digging into a common task in data science: extracting only the elements that we actually want from a string usingdatetime.

To do this, we need to do a few things.

Handling Date and Time Strings with strptime() and strftime()

Thankfully, datetimeincludes two methods,strptime()andstrftime(), for converting objects from strings todatetimeobjects and vice versa.strptime()can read strings with date and time information and convert them todatetimeobjects, andstrftime()converts datetime objects back into strings.

Of course,strptime()isn’t magic — it can’t turnanystring into a date and time, and it will need a little help from us to interpret what it’s seeing! But it’s capable of reading most conventional string formats for date and time data (seethe documentation for more details). Let’s give it a date string in YYYY-MM-DD format and see what it can do!

(Video) Python Pandas Tutorial (Part 10): Working with Dates and Time Series Data

my_string = '2019-10-31'# Create date object in given time format yyyy-mm-ddmy_date = datetime.strptime(my_string, "%Y-%m-%d")print(my_date)print('Type: ',type(my_date))
2019-10-31 00:00:00 Type: 'datetime.datetime'

Note that strptime()took two arguments: the string (my_string) and"%Y-%m-%d", another string that tellsstrptime()how to interpret the input stringmy_string.%Y, for example, tells it to expect the first four characters of the string to be the year.

A full list of these patterns is available inthe documentation, and we’ll go into these methods in more depth later in this tutorial.

You may also have noticed that a time of00:00:00has been added to the date. That’s because we created adatetimeobject, which must include a dateanda time.00:00:00is the default time that will be assigned if no time is designated in the string we’re inputting.

Anyway, we were hoping to separate out specific elements of the date for our analysis. One way can do that using the built-in class attributes of a datetime object, like.monthor.year:

print('Month: ', my_date.month) # To Get month from dateprint('Year: ', my_date.year) # To Get month from year
Month: 10 Year: 2019

Getting Day of the Month and Day of the Week from a Date

Let’s do some more extraction, because that’s a really common task. This time, we’ll try to get the day of the month and the day of the week frommy_date. Datetime will give us the day of the week as a number using its.weekday()function, but we can convert this to a text format (i.e. Monday, Tuesday, Wednesday…) using thecalendarmodule and a method calledday_name.

We’ll start by importingcalendar, and then using.dayand.weekday()onmy_date. From there, we can get the day of the week in text format like so:

# import calendar moduleimport calendarprint('Day of Month:', to get name of day(in number) from dateprint('Day of Week (number): ', my_date.weekday())# to get name of day from dateprint('Day of Week (name): ', calendar.day_name[my_date.weekday()])
Day of Month: 31 Day of Week (number): 3 Day of Week (name): Thursday

Wait a minute, that looks a bit odd! The third day of the week should be Wednesday, not Thursday, right?

Let’s take a closer look at thatday_namevariable using a for loop:

j = 0for i in calendar.day_name: print(j,'-',i) j+=1
0 - Monday 1 - Tuesday 2 - Wednesday 3 - Thursday 4 - Friday 5 - Saturday 6 - Sunday

Now we can see that Python starts weeks on Monday and counts from the index 0 rather than starting at 1. So it makes sense that the number 3 is converted to “Thursday” as we saw above.

Getting Hours and Minutes From a Python Datetime Object

Now let’s dig into time and extract the hours and minutes from datetime object. Much like what we did above with month and year, we can use class attributes.hourand.minuteto get the hours and minutes of the day.

Let’s set a new date and time using As of this writing, it’s October 25, 2019 at 10:25 AM. You’ll get different results depending on when you choose to run this code, of course!

from datetime import datetime todays_date = to get hour from datetimeprint('Hour: ', todays_date.hour)# to get minute from datetimeprint('Minute: ', todays_date.minute)
Hour: 10 Minute: 25

Getting Week of the Year from a Datetime Object

We can also do fancier things withdatetime. For example, what if we want to know what week of the year it is?

We can get the year, week of the year, and day of the week from adatetimeobject with the.isocalendar()function.

Specifically,isocalendar()returns a tuple with ISO year, week number and weekday. TheISO calendaris a widely-used standard calendar based on the Gregorian calendar. You can read about it in more detail at that link, but for our purposes, all we need to know is that it works as a regular calendar, starting each week on Monday.

# Return a 3-tuple, (ISO year, ISO week number, ISO weekday).todays_date.isocalendar()
(2019, 43, 5)

Note that in the ISO calendar, the week starts counting from 1, so here 5 represents the correct day of the week: Friday.

We can see from the above that this is the 43rd week of the year, but if we wanted to isolate that number, we could do so with indexing just as we might for any other Python list or tuple:

(Video) Python Tutorial: How to use dates & times with pandas


Converting a Date Object into Unix Timestamp and Vice Versa

In programming, it’s not uncommon to encounter time and date data that’s stored as a timestamp, or to want to store your own data inUnix timestamp format.

We can do that using datetime’s built-intimestamp()function, which takes adatetimeobject as an argument and returns that date and time in timestamp format:

#import datetimefrom datetime import datetime# get current datenow = convert current date into timestamptimestamp = datetime.timestamp(now)print("Date and Time :", now)print("Timestamp:", timestamp)
Date and Time : 2019-10-25 10:36:32.827300 Timestamp: 1572014192.8273

Similarly, we can do the reverse conversion using fromtimestamp(). This is adatetimefunction that takes a timestamp (in float format) as an argument and returns adatetimeobject, as below:

#import datetimefrom datetime import datetimetimestamp = 1572014192.8273#convert timestamp to datetime objectdt_object = datetime.fromtimestamp(timestamp)print("dt_object:", dt_object)print("type(dt_object): ", type(dt_object))
dt_object: 2019-10-25 10:36:32.827300 type(dt_object): <class 'datetime.datetime'>

Python Datetime Tutorial: Manipulate Times, Dates, and Time Spans (1)

Measuring Time Span with Timedelta Objects

Often, we may want to measure a span of time, or a duration, using Python datetime. We can do this with its built-intimedeltaclass. Atimedeltaobject represents the amount of time between two dates or times. We can use this to measure time spans, or manipulate dates or times by adding and subtracting from them, etc.

By default a timedelta object has all parameters set to zero. Let’s create a new timedelta object that’s two weeks long and see how that looks:

#import datetimefrom datetime import timedelta# create timedelta object with difference of 2 weeksd = timedelta(weeks=2)print(d)print(type(d))print(d.days)
14 days, 0:00:00 <class 'datetime.timedelta'> 14

Note that we can get our time duration in days by using the timedeltaclass attribute.days. As we can see inits documentation, we can also get this time duration in seconds or microseconds.

Let’s create another timedelta duration to get a bit more practice:

year = timedelta(days=365)print(year)
365 days, 0:00:00

Now let’s start doing using timedelta objects together with datetime objects to do some math! Specifically, let’s add a few diffeent time durations to the current time and date to see what date it will be after 15 days, what date it was two weeks ago.

To do this, we can use the+or-operators to add or subtract the timedelta object to/from a datetime object. The result will be the datetime object plus or minus the duration of time specified in our timedelta object. Cool, right?

(Note: in the code below, it’s October 25 at 11:12 AM; your results will differ depending on when you run the code since we’re getting ourdatetimeobject using

#import datetimefrom datetime import datetime, timedelta# get current timenow = ("Today's date: ", str(now))#add 15 days to current datefuture_date_after_15days = now + timedelta(days = 15)print('Date after 15 days: ', future_date_after_15days)#subtract 2 weeks from current datetwo_weeks_ago = now - timedelta(weeks = 2)print('Date two weeks ago: ', two_weeks_ago)print('two_weeks_ago object type: ', type(two_weeks_ago))
Today's date: 2019-10-25 11:12:24.863308 Date after 15 days: 2019-11-09 11:12:24.863308 Date two weeks ago: 2019-10-11 11:12:24.863308 two_weeks_ago object type: <class 'datetime.datetime'>

Note that the output of these mathematical operations is still a datetimeobject.

Find the Difference Between Two Dates and Times

Similar to what we did above, we can also subtract one date from another date to find the timespan between them using datetime.

Because the result of this math is aduration, the object produced when we subtract one date from another will be atimedeltaobject.

Here, we’ll create twodateobjects (remeber, these work the same asdatetimeobjects, they just don’t include time data) and subtract one from the other to find the duration:

# import datetimefrom datetime import date# Create two datesdate1 = date(2008, 8, 18)date2 = date(2008, 8, 10)# Difference between two datesdelta = date2 - date1print("Difference: ", delta.days)print('delta object type: ', type(delta))
Difference: -8 delta object type: <class 'datetime.timedelta'>

Above, we used only dates for the sake of clarity, but we can do the same thing with datetimeobjects to get a more precise measurement that includes hours, minutes, and seconds as well:

(Video) How do I work with dates and times in pandas?

# import datetimefrom datetime import datetime# create two dates with year, month, day, hour, minute, and seconddate1 = datetime(2017, 6, 21, 18, 25, 30)date2 = datetime(2017, 5, 16, 8, 21, 10)# Difference between two datesdiff = date1-date2print("Difference: ", diff)
Difference: 36 days, 10:04:20

Python Datetime Tutorial: Manipulate Times, Dates, and Time Spans (2)

Formatting Dates: More on strftime() and strptime()

We touched briefly onstrftime()andstrptime()earlier, but let’s take a closer look at these methods, as they’re often important for data analysis work in Python.

strptime()is the method we used before, and you’ll recall that it can turn a date and time that’s formatted as a text string into a datetime object, in the following format:

time.strptime(string, format)

Note that it takes two arguments:

  • string − the time in string format that we want to convert
  • format − the specific formatting of the time in the string, so that strptime() can parse it correctly

Let’s try converting a different kind of date string this time.This siteis a really useful reference for finding the formatting codes needed to helpstrptime()interpret our string input.

# import datetimefrom datetime import datetimedate_string = "1 August, 2019"# format datedate_object = datetime.strptime(date_string, "%d %B, %Y")print("date_object: ", date_object)
date_object: 2019-08-01 00:00:00

Now let’s do something a bit more advanced to practice everything we’ve learned so far! We’ll start with a date in string format, convert it to a datetime object, and look at a couple different ways of formatting it (dd/mm and mm/dd).

Then, sticking with the mm/dd formatting, we’ll convert it into a Unix timestamp. Then we’ll convert it back into adatetimeobject, and convertthatback into strings using a few differentstrftime patternsto control the output:

# import datetimefrom datetime import datetimedt_string = "12/11/2018 09:15:32"# Considering date is in dd/mm/yyyy formatdt_object1 = datetime.strptime(dt_string, "%d/%m/%Y %H:%M:%S")print("dt_object1:", dt_object1)# Considering date is in mm/dd/yyyy formatdt_object2 = datetime.strptime(dt_string, "%m/%d/%Y %H:%M:%S")print("dt_object2:", dt_object2)# Convert dt_object2 to Unix Timestamptimestamp = datetime.timestamp(dt_object2)print('Unix Timestamp: ', timestamp)# Convert back into datetimedate_time = datetime.fromtimestamp(timestamp)d = date_time.strftime("%c")print("Output 1:", d)d = date_time.strftime("%x")print("Output 2:", d)d = date_time.strftime("%X")print("Output 3:", d)
dt_object1: 2018-11-12 09:15:32 dt_object2: 2018-12-11 09:15:32 Unix Timestamp: 1544537732.0 Output 1: Tue Dec 11 09:15:32 2018 Output 2: 12/11/18 Output 3: 09:15:32

Here’s an image you can save with a cheat sheet for common, useful strptime and strftime patterns:

Let’s get a little more practice using these:

# current date and timenow = get year from dateyear = now.strftime("%Y")print("Year:", year)# get month from datemonth = now.strftime("%m")print("Month;", month)# get day from dateday = now.strftime("%d")print("Day:", day)# format time in HH:MM:SStime = now.strftime("%H:%M:%S")print("Time:", time)# format datedate_time = now.strftime("%m/%d/%Y, %H:%M:%S")print("Date and Time:",date_time)
Year: 2019 Month; 10 Day: 25 Time: 11:56:41 Date and Time: 10/25/2019, 11:56:41

Handling Timezones

Working with dates and times in Pythin can get even more complicated when timezones get involved. Thankfully, thepytzmodule exists to help us deal with cross-timezone conversions. It also handles the daylight savings time in locations that use that.

We can use thelocalizefunction to add a time zone location to a Python datetime object. Then we can use the functionastimezone()to convert the existing local time zone into any other time zone we specify (it takes the time zone we want to convert into as an argument).

For example:

# import timezone from pytz modulefrom pytz import timezone# Create timezone US/Easterneast = timezone('US/Eastern')# Localize dateloc_dt = east.localize(datetime(2011, 11, 2, 7, 27, 0))print(loc_dt)# Convert localized date into Asia/Kolkata timezonekolkata = timezone("Asia/Kolkata")print(loc_dt.astimezone(kolkata))# Convert localized date into Australia/Sydney timezoneau_tz = timezone('Australia/Sydney')print(loc_dt.astimezone(au_tz))
2011-11-02 07:27:00-04:00 2011-11-02 16:57:00+05:30 2011-11-02 22:27:00+11:00

This module can help make life simpler when working with data sets that include multiple different time zones.

Working with pandas Datetime Objects

Data scientists lovepandasfor many reasons. One of them is that it contains extensive capabilities and features for working with time series data. Much likedatetimeitself, pandas has bothdatetimeandtimedeltaobjects for specifying dates and times and durations, respectively.

We can convert date, time, and duration text strings into pandas Datetime objects using these functions:

(Video) Pandas Datetime Tutorial - Working with Date and Time in Pandas

  • to_datetime(): Converts string dates and times into Python datetime objects.
  • to_timedelta(): Finds differences in times in terms of days, hours, minutes, and seconds.

And as we’ll see, these functions are actually quite good at converting strings to Python datetime objects by detecting their format automatically, without needing us to define it using strftime patterns.

Let’s look at a quick example:

# import pandas module as pdimport pandas as pd# create date object using to_datetime() functiondate = pd.to_datetime("8th of sep, 2019")print(date)
2019-09-08 00:00:00

Note that even though we gave it a string with some complicating factors like a “th” and “sep” rather than “Sep.” or “September”, pandas was able to correctly parse the string and return a formatted date.

We can also use pandas (and some of its affiliated numpy functionality) to create date ranges automatically as pandas Series. Below, for example, we create a series of twelve dates starting from the day we defined above. Then we create a different series of dates starting from a predefined date usingpd.date_range():

# Create date series using numpy and to_timedelta() functiondate_series = date + pd.to_timedelta(np.arange(12), 'D')print(date_series)# Create date series using date_range() functiondate_series = pd.date_range('08/10/2019', periods = 12, freq ='D')print(date_series)
DatetimeIndex(['2019-09-08', '2019-09-09', '2019-09-10', '2019-09-11', '2019-09-12', '2019-09-13', '2019-09-14', '2019-09-15', '2019-09-16', '2019-09-17', '2019-09-18', '2019-09-19'], dtype='datetime64[ns]', freq=None) DatetimeIndex(['2019-08-10', '2019-08-11', '2019-08-12', '2019-08-13', '2019-08-14', '2019-08-15', '2019-08-16', '2019-08-17', '2019-08-18', '2019-08-19', '2019-08-20', '2019-08-21'], dtype='datetime64[ns]', freq='D')

Get Year, Month, Day, Hour, Minute in pandas

We can easily get year, month, day, hour, or minute from dates in a column of a pandas dataframe usingdtattributes for all columns. For example, we can usedf['date'].dt.yearto extract only the year from a pandas column that includes the full date.

To explore this, let’s make a quick DataFrame using one of the Series we created above:

# Create a DataFrame with one column datedf = pd.DataFrame()df['date'] = date_series df.head()

Now, let’s create separate columns for each element of the date by using the relevant Python datetime (accessed withdt) attributes:

# Extract year, month, day, hour, and minute. Assign all these date component to new column.df['year'] = df['date'].dt.yeardf['month'] = df['date'].dt.monthdf['day'] = df['date'].dt.daydf['hour'] = df['date'].dt.hourdf['minute'] = df['date'].dt.minutedf.head()

Get Weekday and Day of Year

Pandas is also capable of getting other elements, like the day of the week and the day of the year, from its datetime objects. Again, we can usedtattributes to do this. Note that here, as in Python generally, the week starts on Monday at index 0, so day of the week 5 isSaturday.

# get Weekday and Day of Year. Assign all these date component to new column.df['weekday'] = df['date'].dt.weekdaydf['day_name'] = df['date'].dt.weekday_namedf['dayofyear'] = df['date'].dt.dayofyeardf.head()

Convert Date Object into DataFrame Index

We can also use pandas to make a datetime column into the index of our DataFrame. This can be very helpful for tasks like exploratory data visualization, because matplotlib will recognize that the DataFrame index is a time series and plot the data accordingly.

To do this, all we have to do is redefinedf.index:

# Assign date column to dataframe indexdf.index = df.datedf.head()


In this tutorial, we’ve taken a deep dive into Python datetime, and also done some work with pandas and the calendar module. We’ve covered a lot, but remember: the best way to learn something is by actually writing code yourself!

If you’d like to practice writing datetimecode with interactive answer-checking, check out ourPython intermediate coursefora lesson on datetime in Python with interactive answer-checking and in-browser code-running.

(Video) Matplotlib Tutorial (Part 8): Plotting Time Series Data



How to manipulate time in datetime Python? ›

  1. Use the date class to represent dates.
  2. Use the time class to represent times.
  3. Use the datetime class to represent both dates and times.
  4. Use the timedelta class to represent a time delta.
  5. Use the strftime() method to format a date , a time , or a datetime object.

How different operations can be done on date & time in Python? ›

datetime includes two methods, strptime() and strftime(), for converting objects from strings to datetime objects and vice versa. strptime() can read strings with date and time information and convert them to datetime objects, and strftime() converts datetime objects back into strings.

How to get date hour and minute from datetime in Python? ›

How to Get the Current Time with the datetime Module. To get the current time in particular, you can use the strftime() method and pass into it the string ”%H:%M:%S” representing hours, minutes, and seconds.

How do I combine date and time into datetime in Python? ›

Python Combining Date & Time
  1. d = date(2016, 4, 29)
  2. t = datetime.time(15, 30)
  3. dt = datetime.combine(d, t)
  4. dt2 = datetime.combine(d, t)
  5. dt3 = datetime(year=2020, month=6, day=24)
  6. dt4 = datetime(2020, 6, 24, 18, 30)
  7. dt5 = datetime(year=2020, month=6, day=24, hour=15, minute=30)
  8. dt6 = dt5.replace(year=2017, month=10)

How to change time format in datetime Python? ›

To convert a datetime object into a string using the specified format, use datetime. strftime(format). The format codes are standard directives for specifying the format in which you want to represent datetime. The%d-%m-%Y%H:%M:%S codes, for example, convert dates to dd-mm-yyyy hh:mm:ss format.

How to convert time to timestamp in datetime Python? ›

The following steps are taken to convert a datetime to a timestamp:
  1. To begin, we use the datetime. now() function in Python to obtain the current date and time.
  2. Then, to the datetime, we pass the current datetime. timestamp() function to obtain the UNIX timestamp.

How to run a function multiple times at the same time Python? ›

Use the oml. index_apply function to run a Python function multiple times in Python engines spawned by the database environment. The times argument is an int that specifies the number of times to run the func function. The func argument is the function to run.

What is the difference between time clock () and time time () in Python? ›

time() returns the the seconds since the epoch, in UTC, as a floating point number on all platforms. On Unix time. clock() measures the amount of CPU time that has been used by the current process, so it's no good for measuring elapsed time from some point in the past.

How do you add 10 minutes to a datetime in Python? ›

Use the timedelta() class from the datetime module to add minutes to datetime, e.g. result = dt + timedelta(minutes=10) .

How do I separate date and time from timestamp in Python? ›

Solution 2
  1. Define a dataframe.
  2. Apply pd.to_datetime() function inside df['datetime'] and select date using then save it as df['date']
  3. Apply pd.to_datetime() function inside df['datetime'] and select time using dt.time then save it as df['time']
Feb 25, 2021

How do I change the hour in a datetime in Python? ›

Example1 – Replace hours of a time object:
  1. # Create a date object with today's date. d1 = print("Today's date: {}".format(d1))
  2. # Create a time object out of a date object. t1 = d1.time() print("Only the time: {}".format(t1))
  3. # Replace the time of t1 - set hours to 15. t2 = t1.replace(hour=15)

How do I convert datetime to minutes and seconds? ›

To convert time to minutes, multiply the time by 1440, which is the number of minutes in a day (24*60). To convert time to seconds, multiply the time time by 86400, which is the number of seconds in a day (24*60*60 ).

How do I concatenate date and time in datetime? ›

Addition to Combine Date and Time in a Single Cell
  • First, edit the cell and enter “=” in it.
  • After that, refer to the cell with the date (A2).
  • Next, enter the addition sign.
  • Now, refer to the cell with time (B2).
  • In the end, hit enter to get the combined date and time.

How to split datetime to date and time? ›

On the Home tab of the Excel Ribbon, at the bottom right of the Number group, click the Dialog Box Launcher (or use the keyboard shortcut, Ctrl + 1 ) In the Format Cells dialog box, click the Time category. Click on the 1:30 PM format, then click OK.

How do I change the time on a DateTime? ›

DateTime is an immutable type, so you can't change it. However, you can create a new DateTime instance based on your previous instance. In your case, it sounds like you need the Date property, and you can then add a TimeSpan that represents the time of day. Save this answer.

How to convert date and time with different timezones in Python? ›

Get the current time using the datetime. now() function(returns the current local date and time) and pass the timezone() function(gets the time zone of a specific location) with the timezone as an argument to it say 'UTC'. Format the above DateTime using the strftime() and print it.

How to format timestamp to time in Python? ›

How to Convert Timestamps to datetime Objects Using strptime()
  • %d for day of month as a zero-padded decimal like 01, 02, 03.
  • %m for month as a zero-padded decimal number.
  • %Y for year with century as a decimal number.
  • %H for 24 hour clock with a zero-padded hour value.
  • %M for zero-padded minutes, and.
Mar 1, 2021

How do I convert date and time to timestamp? ›

We can use the getTime() method of a Date instance to convert the date string into a timestamp. To use it, we write: const toTimestamp = (strDate) => { const dt = new Date(strDate). getTime(); return dt / 1000; }; console.

What is the difference between datetime and timestamp? ›

The DATETIME type is used for values that contain both date and time parts. MySQL retrieves and displays DATETIME values in ' YYYY-MM-DD hh:mm:ss ' format. The supported range is '1000-01-01 00:00:00' to '9999-12-31 23:59:59' . The TIMESTAMP data type is used for values that contain both date and time parts.

How to convert time string to timestamp in Python? ›

If you want to format to another format like "July 9, 2015" , here a good cheatsheet.
  1. Import the datetime library.
  2. Use the datetime. ...
  3. Use the strptime method to convert a string datetime to a object datetime.
  4. Finally, use the timestamp method to get the Unix epoch time as a float.

How do you iterate two times in Python? ›

Use a third loop: for x in List1: for _ in [0,1]: for y in x: ... This iterates over each element of List1 twice, as in the original code, without explicit index wrangling.

How to calculate time difference between two times in Python? ›

To get a time difference in seconds, use the timedelta. total_seconds() methods. Multiply the total seconds by 1000 to get the time difference in milliseconds. Divide the seconds by 60 to get the difference in minutes.

How do you repeat a function 5 times in Python? ›

The itertools module provides a repeat() function in order to practice repeat in Python. In repeat(), we provide the data as well as the number of times the data will be repeated. Similar to the loops, it is necessary to specify the number, else the function won't be terminated and will end up in an indefinite loop.

What is the replacement for time clock in Python? ›

Note: The clock() function of the time module has been deprecated since Python version 3.3. The users can use the time perf_counter() and time process_time() functions instead, depending on their requirements.

What does time time () do in Python? ›

Python time.time() Function

In Python, the time() function returns the number of seconds passed since epoch (the point where time begins). For the Unix system, January 1, 1970, 00:00:00 at UTC is epoch.

What does time clock () do in Python? ›

Python time clock() Method

Pythom time method clock() returns the current processor time as a floating point number expressed in seconds on Unix. The precision depends on that of the C function of the same name, but in any case, this is the function to use for benchmarking Python or timing algorithms.

How do I add 1 minute to datetime? ›

The DateTime. AddMinutes() method in C# is used to add the specified number of minutes to the value of this instance. It returns the new DateTime.

How do you increment datetime in Python? ›

If we want to add days to a datetime object, we can use the timedelta() function of the datetime module. The previous Python syntax has created a new data object containing the datetime 2024-11-24 14:36:56, i.e. 18 days later than our input date.

How do you add hours and minutes to a datetime object in Python? ›

Use the timedelta() class from the datetime module to add hours to datetime, e.g. result = dt + timedelta(hours=10) . The timedelta class can be passed a hours argument and adds the specified number of hours to the datetime. Copied!

How to convert timedelta to hours and minutes in Python? ›

There are two different ways of doing this conversion:
  1. the first one you divide the total_seconds() by the number of seconds in a minute, which is 60.
  2. the second approach, you divide the timedelta object by timedelta(minutes=1)
Nov 14, 2020

How do you format time in Python? ›

To format strings, given a struct_time or Python time tuple, you use strftime() , which stands for “string format time.” strftime() takes two arguments: format specifies the order and form of the time elements in your string. t is an optional time tuple.

How to remove hours minutes and seconds from datetime in Python? ›

Using the datetime. strftime() function to remove time from datetime in Python. We can also use the strftime() function to remove time from datetime in Python. The strftime() function is used to return a string based on a datetime object.

How do I extract hours and minutes from a timestamp? ›

hour – function hour() extracts hour unit from Timestamp column or string column containing a timestamp.
  1. Syntax : hour(e: Column): Column. Copy.
  2. Syntax : minute(e: Column): Column. Copy.
  3. Syntax : second(e: Column): Column. Copy.
Dec 30, 2022

How to convert timestamp to seconds in datetime? ›

To convert a datetime to seconds, subtracts the input datetime from the epoch time. For Python, the epoch time starts at 00:00:00 UTC on 1 January 1970. Subtraction gives you the timedelta object. Use the total_seconds() method of a timedelta object to get the number of seconds since the epoch.

How to format hour and minute in datetime? ›

YYYY-MM-DD – is the date: year-month-day. The character "T" is used as the delimiter. HH:mm:ss.sss – is the time: hours, minutes, seconds and milliseconds.

How do you insert a dynamic date and a time in a cell? ›

Press Ctrl+; (semi-colon), then press Space, and then press Ctrl+Shift+; (semi-colon). Sometimes you may want to insert a date or time whose value is updated automatically. You will use a formula – the “TODAY” and “NOW” functions – to return a dynamic date or time.

What is a combination of date and time called? ›

Explanation: A timestamp is a combination of date and time with date first.

How do I combine date and time columns in Python? ›

A Timestamp object in pandas is an equivalent of Python's datetime object. It is a combination of date and time fields. To combine date and time into a Timestamp object, we use the Timestamp. combine() function in pandas .

Which of the following command is used to combine both date and time? ›

datetime is a combination of a date and a time .

How to convert datetime datetime object to timestamp? ›

We can convert a datetime object into a timestamp using the timestamp() method. If the datetime object is UTC aware, then this method will create a UTC timestamp. If the object is naive, we can assign the UTC value to the tzinfo parameter of the datetime object and then call the timestamp() method.

What is the formula to convert timestamp to datetime? ›

Convert Timestamp to Date
  1. In a blank cell next to your timestamp list and type this formula =R2/86400000+DATE(1970,1,1), press Enter key.
  2. Select the cell that uses the formula and in the Ribbon change format from. General to Short Date.
  3. Now the cell is in a readable date.
Dec 21, 2021

How do you split date and time in a query? ›

You can also use the DATE_FORMAT() function to format the date and time parts in a specific way. For example: SELECT DATE_FORMAT(datetime_column, '%Y-%m-%d') AS date, DATE_FORMAT(datetime_column, '%H:%i:%s') AS time FROM table_name; This will return the date in the YYYY-MM-DD format and the time in the HH:MM:SS format.

Can DateTime tool convert multiple date time columns at once? ›

DateTime Tool Enhancements: Convert Multiple FIelds & Overwrite Existing Field. The DateTime tool is a great way to convert various string arrangements into a Date/Time field type. However, this tool has two simple, but annoying, shortcomings : Convert Multiple Fields: Each DateTime tool only lets you convert one field ...

How to convert DateTime to string date and time? ›

The ToString() method of the DateTime class is used to convert a DateTime date object to string format. The method takes a date format string that specifies the required string representation.

How to increase time in datetime Python? ›

Approach: You can add time to the datetime object in a two-step process:
  1. Create a. datetime. timedelta. datetime. object by calling datetime. timedelta(duration=n) . ...
  2. Add the timedelta object to the datetime object to create a new datetime object with the added time.

What is the %% time in Python? ›

We use %%time command to calculate the time elapsed by the program. This command is basically for the users who are working on Jupyter Notebook. This will only capture the wall time of a particular cell.

How to get the time in datetime Python? ›

Python includes a datetime. now() method that is used to get the current time. It is a part of the built-in datetime module that simplifies dealing with dates and times. This will print the current date and time in the style YYYY-MM-DD HH:MM:SS.

How to drop time in datetime Python? ›

To remove time from datetime in Python, we will use the %Y-%m-%d format within the function.

How do you increment time in Python? ›

As it turns out, there two straightforward ways to increment a number in Python. First, we could use direct assignment: `x = x + 1`. Alternatively, we could use the condensed increment operator syntax: `x += 1`.

How do I add 15 minutes to a datetime in Python? ›

Use the timedelta() class from the datetime module to add minutes to datetime, e.g. result = dt + timedelta(minutes=10) . The timedelta class can be passed a minutes argument and adds the specified number of minutes to the datetime object. Copied!

How do you add 5 hours to a datetime in Python? ›

Use the timedelta() class from the datetime module to add hours to datetime, e.g. result = dt + timedelta(hours=10) . The timedelta class can be passed a hours argument and adds the specified number of hours to the datetime. Copied!

What is the difference between time and DateTime? ›

Almost certainly you'll want to use Time since your app is probably dealing with current dates and times and it has support for timezones (system/local and utc), whereas DateTime just has offsets from UTC.

What is the difference between time and DateTime in Python? ›

time – refers to time independent of the day (hour, minute, second, microsecond). datetime – combines date and time information.

How do you get the time in a specific timezone in Python? ›

Get the current time using the datetime. now() function(returns the current local date and time) and pass the timezone() function(gets the time zone of a specific location) with the timezone as an argument to it say 'UTC'. Format the above DateTime using the strftime() and print it.

How to extract date and time from string in Python? ›

To extract the date, simply use a regular expression and "datetime. datetime. strptime" to parse it. For example, if you have a date in the format YYYY−MM−DD in a string, you may extract and parse it using the code below.

How to convert a string into datetime? ›

Converting a String to a datetime object using datetime.strptime() The datetime.strptime() method returns a datetime object that matches the date_string parsed by the format. Both arguments are required and must be strings.

How do you round down to hour in datetime Python? ›

In order to round a DateTime object to the nearest hour, you need to use the round operation from Pandas on the DateTime column and specify the frequency that you want to use. For rounding to the nearest hour you will need to use round("H") .


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