将熊猫的DateTimeIndex转换为Unix时间(可迭代)的惯用方式是什么?这可能不是要走的路:
[time.mktime(t.timetuple()) for t in my_data_frame.index.to_pydatetime()]
由于DatetimeIndex是ndarray引擎盖下,你可以做转换没有理解(要快得多)。
DatetimeIndex
ndarray
In [1]: import numpy as np In [2]: import pandas as pd In [3]: from datetime import datetime In [4]: dates = [datetime(2012, 5, 1), datetime(2012, 5, 2), datetime(2012, 5, 3)] ...: index = pd.DatetimeIndex(dates) ...: In [5]: index.astype(np.int64) Out[5]: array([1335830400000000000, 1335916800000000000, 1336003200000000000], dtype=int64) In [6]: index.astype(np.int64) // 10**9 Out[6]: array([1335830400, 1335916800, 1336003200], dtype=int64) %timeit [t.value // 10 ** 9 for t in index] 10000 loops, best of 3: 119 us per loop %timeit index.astype(np.int64) // 10**9 100000 loops, best of 3: 18.4 us per loop