I have a Pandas data frame, one of the column contains date strings in the format YYYY-MM-DD
For e.g. ‘2013-10-28’
At the moment the dtype of the column is object.
How do I convert the column values to Pandas date format?
….
If only timedelta had a month argument in it’s constructor. So what’s the simplest way to do this?
EDIT: I wasn’t thinking too hard about this as was pointed out below. Really what I wanted was any day in the last month because eventually I’m going to grab the year and month only. So given a datetime object, what’s the simplest way to return an….
This question already has answers here:
How to calculate number of days between two given dates
(15 answers)
Closed 6 years ago.
What’s the shortest way to see how many full days have passed between two dates?
Here’s what I’….
What is the cleanest and most Pythonic way to get tomorrow’s date? There must be a better way than to add one to the day, handle days at the end of the month, etc.
….
I have a python method which accepts a date input as a string.
How do I add a validation to make sure the date string being passed to the method is in the ffg. format:
‘YYYY-MM-DD’
if it’s not, method should raise some sort of error
….
I am trying to get the date of the previous month with python.
Here is what i’ve tried:
str( time.strftime(‘%Y’) ) + str( int(time.strftime(‘%m’))-1 )
However, this way is bad for 2 reasons: First it returns 20122 for the February of 2012 (instead of 201202) and secondly it will return 0 instead of 12 on January.
I have solved this trouble in bas….
My data can have multiple events on a given date or NO events on a date. I take these events, get a count by date and plot them. However, when I plot them, my two series don’t always match.
idx = pd.date_range(df[‘simpleDate’].min(), df[‘simpleDate’].max())
s = df.groupby([‘simpleDate’]).size()
In the above code idx becomes a range of say 30….
I have two different dates and I want to know the difference in days between them. The format of the date is YYYY-MM-DD.
I have a function that can ADD or SUBTRACT a given number to a date:
def addonDays(a, x):
ret = time.strftime(“%Y-%m-%d”,time.localtime(time.mktime(time.strptime(a,”%Y-%m-%d”))+x*3600*24+3600))
return ret
where A is….
I am able to parse strings containing date/time with time.strptime
>>> import time
>>> time.strptime(’30/03/09 16:31:32′, ‘%d/%m/%y %H:%M:%S’)
(2009, 3, 30, 16, 31, 32, 0, 89, -1)
How can I parse a time string that contains milliseconds?
>>> time.strptime(’30/03/09 16:31:32.123′, ‘%d/%m/%y %H:%M:%S’)
Traceback (most recent call last):
File “
This is my declarative model:
import datetime
from sqlalchemy import Column, Integer, DateTime
from sqlalchemy.ext.declarative import declarative_base
Base = declarative_base()
class Test(Base):
__tablename__ = ‘test’
id = Column(Integer, primary_key=True)
created_date = DateTime(default=datetime.datetime.utcnow)
However, when I tr….