Closed
Description
The following imports in pandas/src/period.pyx significantly impact performance when dealing with multiple Period objects. A quick win, guys.
def __init__(self, value=None, freq=None, ordinal=None,
year=None, month=1, quarter=None, day=1,
hour=0, minute=0, second=0):
from pandas.tseries import frequencies
from pandas.tseries.frequencies import get_freq_code as _gfc
# freq points to a tuple (base, mult); base is one of the defined
# periods such as A, Q, etc. Every five minutes would be, e.g.,
# ('T', 5) but may be passed in as a string like '5T'Just profile the code below and observe the number of times _find_and_load gets called:
import pandas as pd
for _ in range(1000):
pd.Period('2015-04-26')bfa8066 is the commit that has introduced the problem.
I will submit a pull request that rectifies the incorrect fix to the circular dependency.