Difference between revisions of "Using Python datetime with Timezones"
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=Binding with Timezone Info= | |||
<pre> | |||
cat !$ | |||
cat ./py_tz_example_01.py | |||
#!/usr/bin/env python3 | |||
import pytz | |||
from datetime import datetime | |||
def list_tz(): | |||
for tz in pytz.all_timezones: | |||
print(tz) | |||
def example(tz_name): | |||
specified_tz = pytz.timezone(tz_name) | |||
# transform to a time using a specific timezone | |||
tz_aware_dt = datetime.now(tz=specified_tz) | |||
print(f"TZ aware datetime value |{tz_aware_dt.isoformat()}| for timezone - '{tz_name}'") | |||
# list_tz() | |||
print(f"TZ naive datetime value |{datetime.now().isoformat()}|") | |||
example("America/New_York") | |||
example("America/Vancouver") | |||
example("Asia/Tokyo") | |||
example("Australia/Sydney") | |||
example("Europe/London") | |||
example("Europe/Paris") | |||
</pre> | |||
<pre> | |||
% ./py_tz_example_01.py | |||
TZ naive datetime value |2022-06-05T09:48:41.237251| | |||
TZ aware datetime value |2022-06-04T19:48:41.249310-04:00| for timezone - 'America/New_York' | |||
TZ aware datetime value |2022-06-04T16:48:41.249630-07:00| for timezone - 'America/Vancouver' | |||
TZ aware datetime value |2022-06-05T08:48:41.249701+09:00| for timezone - 'Asia/Tokyo' | |||
TZ aware datetime value |2022-06-05T09:48:41.249923+10:00| for timezone - 'Australia/Sydney' | |||
TZ aware datetime value |2022-06-05T00:48:41.250303+01:00| for timezone - 'Europe/London' | |||
TZ aware datetime value |2022-06-05T01:48:41.250543+02:00| for timezone - 'Europe/Paris' | |||
</pre> | |||
=Explicit Numerical Offsets from UTC= | =Explicit Numerical Offsets from UTC= | ||
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# Define the offset | # Define the offset | ||
offset = "+1000" | offset = "+1000" # "Australia/Melbourne" | ||
# Convert as so... | # Convert as so... | ||
Line 27: | Line 80: | ||
tz_aware_dt = dt.astimezone(datetime.strptime(offset, "%z").tzinfo) | tz_aware_dt = dt.astimezone(datetime.strptime(offset, "%z").tzinfo) | ||
print(f" TZ Aware | print(f" TZ Aware datetime value |{tz_aware_dt.isoformat()}|") | ||
</pre> | </pre> | ||
<pre> | |||
% ./py_tz_example_02.py | |||
TZ naive datetime value |2022-06-05T09:49:37.782118| | |||
dt.tzinfo |None| | |||
TZ Aware datetime value |2022-06-05T19:49:37.782118+10:00| | |||
</pre> | |||
Revision as of 20:31, 5 June 2022
Binding with Timezone Info
cat !$ cat ./py_tz_example_01.py #!/usr/bin/env python3 import pytz from datetime import datetime def list_tz(): for tz in pytz.all_timezones: print(tz) def example(tz_name): specified_tz = pytz.timezone(tz_name) # transform to a time using a specific timezone tz_aware_dt = datetime.now(tz=specified_tz) print(f"TZ aware datetime value |{tz_aware_dt.isoformat()}| for timezone - '{tz_name}'") # list_tz() print(f"TZ naive datetime value |{datetime.now().isoformat()}|") example("America/New_York") example("America/Vancouver") example("Asia/Tokyo") example("Australia/Sydney") example("Europe/London") example("Europe/Paris")
% ./py_tz_example_01.py TZ naive datetime value |2022-06-05T09:48:41.237251| TZ aware datetime value |2022-06-04T19:48:41.249310-04:00| for timezone - 'America/New_York' TZ aware datetime value |2022-06-04T16:48:41.249630-07:00| for timezone - 'America/Vancouver' TZ aware datetime value |2022-06-05T08:48:41.249701+09:00| for timezone - 'Asia/Tokyo' TZ aware datetime value |2022-06-05T09:48:41.249923+10:00| for timezone - 'Australia/Sydney' TZ aware datetime value |2022-06-05T00:48:41.250303+01:00| for timezone - 'Europe/London' TZ aware datetime value |2022-06-05T01:48:41.250543+02:00| for timezone - 'Europe/Paris'
Explicit Numerical Offsets from UTC
#!/usr/bin/env python3 from datetime import datetime, timezone dt = datetime.now() # This is a naive datetime value print(f" TZ naive datetime value |{dt.isoformat()}|") print(f" dt.tzinfo |{dt.tzinfo}|") # Cast this as UTC dt = dt.replace(tzinfo=timezone.utc) # Define the offset offset = "+1000" # "Australia/Melbourne" # Convert as so... tz_aware_dt = dt.astimezone(datetime.strptime(offset, "%z").tzinfo) print(f" TZ Aware datetime value |{tz_aware_dt.isoformat()}|")
% ./py_tz_example_02.py TZ naive datetime value |2022-06-05T09:49:37.782118| dt.tzinfo |None| TZ Aware datetime value |2022-06-05T19:49:37.782118+10:00|