Travailler avec les dateheure

Python intermédiaire pour la finance

Kennedy Behrman

Data Engineer, Author, Founder

Attributs des dateheure

now.year
now.month
now.day

2019
11
13

now.hour
now.minute
now.second

22
34
56

Comparer des dateheure

égal à ==

plus petit que <

plus grand que >

Comparer des dateheure

from datetime import datetime
asian_crisis = datetime(1997, 7, 2)
world_mini_crash = datetime(1997, 10, 27)

asian_crisis > world_mini_crash

False

asian_crisis < world_mini_crash

True

Comparer des dateheure

asian_crisis = datetime(1997, 7, 2)
world_mini_crash = datetime(1997, 10, 27)

text = "10/27/1997"
format_str =  "%m/%d/%Y"
sell_date = datetime.strptime(text, format_str)

sell_date == world_mini_crash

True

Différence entre des dateheure

Comparer avec <, >, ou ==.
La soustraction retourne un objet timedelta.
Attributs de timedelta : weeks, days, minutes, seconds, microseconds

Différence entre des dateheure

delta = world_mini_crash - asian_crisis

type(delta)

datetime.timedelta

delta.days

Créer des dateheure relatives

dt

datetime.datetime(2019, 1, 14, 0, 0)

datetime(dt.year, dt.month, dt.day - 7)

datetime.datetime(2019, 1, 7, 0, 0)

datetime(dt.year, dt.month, dt.day - 15)

ValueError                                Traceback (most recent call last)
<ipython-input-28-804001f45cdb> in <module>()
-> 1 datetime(dt.year, dt.month, dt.day - 15)
ValueError: day is out of range for month

Créer des dateheure relatives

delta = world_mini_crash - asian_crisis
type(delta)

datetime.timedelta

Créer des dateheure relatives

from datetime import timedelta

offset = timedelta(weeks = 1)
offset

datetime.timedelta(7)

dt - offset

datetime.datetime(2019, 1, 7, 0, 0)

Créer des dateheure relatives

offset = timedelta(days=16)
dt - offset

datetime.datetime(2018, 12, 29, 0, 0)

cur_week = last_week + timedelta(weeks=1)
# Do some work with date
# set last week variable to cur week and repeat
last_week = cur_week

source_dt = event_dt - timedelta(weeks=4)
# Use source datetime to look up market factors

Passons à la pratique !

Python intermédiaire pour la finance