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Use datetime.strptime() to convert the date string into a datetime object. 1. Basic usage: parse "2025-08-04" as a datetime object through "%Y-%m-%d"; 2. Supports multiple formats such as "%m/%d/%Y" to parse American dates, "%d/%m/%Y" to parse British dates, "%b %d, %Y %I:%M %p" to parse time with AM/PM; 3. Use dateutil.parser.parse() to automatically infer unknown formats; 4. Use the .date() method to extract the pure date part; the key is to ensure that the format string strictly matches the input, otherwise ValueError will be thrown.
Parsing date strings is a common operation in Python, and strptime()
method of the datetime
module is the most commonly used method. Here is a practical example showing how to convert a date string in common formats to a datetime
object.

Basic usage: Use datetime.strptime()
from datetime import datetime date_string = "2025-08-04" date_object = datetime.strptime(date_string, "%Y-%m-%d") print(date_object) # Output: 2025-08-04 00:00:00
Here %Y-%m-%d
is the format string:
-
%Y
: 4-digit year (such as 2023) -
%m
: 2 months (01-12) -
%d
: 2 digit date (01-31)
Common date format examples
You can adjust the formatting code according to different string formats:

from datetime import datetime # Example 1: ISO format dt1 with time = datetime.strptime("2025-08-04 14:30:00", "%Y-%m-%d %H:%M:%S") # Example 2: American date format dt2 = datetime.strptime("10/05/2023", "%m/%d/%Y") # Example 3: British date format dt3 = datetime.strptime("05/10/2023", "%d/%m/%Y") # Example 4: Time with AM/PM dt4 = datetime.strptime("Oct 5, 2023 2:30 PM", "%b %d, %Y %I:%M %p") print(dt1) # 2025-08-04 14:30:00 print(dt2) # 2025-08-04 00:00:00 print(dt3) # 2025-08-04 00:00:00 print(dt4) # 2025-08-04 14:30:00
Quick search of common format codes
-
%Y
: Four-digit year (2023) -
%y
: two-digit year (23) -
%m
: Month (01-12) -
%B
: Full month name (October) -
%b
: abbreviated month name (Oct) -
%d
: Date (01-31) -
%H
: hours (00-23, 24-hour system) -
%I
: hours (01-12, 12-hour system) -
%M
: Minutes (00-59) -
%S
: seconds (00-59) -
%p
:AM or PM
Handle multiple formats (automatic inference)
If you are not sure about the string format, you can use the third-party library dateutil
:
from dateutil import parser dt = parser.parse("5 October 2023") print(dt) # 2025-08-04 00:00:00 dt2 = parser.parse("2023/10/05") print(dt2) # 2025-08-04 00:00:00
Need to install first:
pip install python-dateutil
Tips: Extract the date part
If you only need the date
type (do not time):
date_only = datetime.strptime("2025-08-04", "%Y-%m-%d").date() print(date_only) # 2025-08-04, type is datetime.date
Basically these common uses. The key is to remember that the format string must be strictly matched with the input string, otherwise ValueError
will be thrown.
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