A PyQT GUI application for converting InfoLease report outputs into Excel files. Handles parsing and summarizing. Learns where files are meant to be store and compiles monthly and yearly summaries.
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
InfoLeaseExtract/venv/Lib/site-packages/pandas/_config/dates.py

23 lines
632 B

"""
config for datetime formatting
"""
from pandas._config import config as cf
pc_date_dayfirst_doc = """
: boolean
When True, prints and parses dates with the day first, eg 20/01/2005
"""
pc_date_yearfirst_doc = """
: boolean
When True, prints and parses dates with the year first, eg 2005/01/20
"""
with cf.config_prefix("display"):
# Needed upstream of `_libs` because these are used in tslibs.parsing
cf.register_option(
"date_dayfirst", False, pc_date_dayfirst_doc, validator=cf.is_bool
)
cf.register_option(
"date_yearfirst", False, pc_date_yearfirst_doc, validator=cf.is_bool
)