Reputation: 289
I am trying to find the day difference between today, and dates in my dataframe.
Below is my conversion of dates in my dataframe
df['Date']=pd.to_datetime(df['Date'])
Below is my code to get today
today1=dt.datetime.today().strftime('%Y-%m-%d')
today1=pd.to_datetime(today1)
Both are converted to pandas.to_datetime, but when I do subtraction, the below error came out.
ValueError: Cannot add integral value to Timestamp without offset.
Can someone help to advise? Thanks!
Upvotes: 1
Views: 3099
Reputation: 6581
This is a simple example how you can do this:
import pandas
import datetime as dt
First, you have to get today.
today1=dt.datetime.today().strftime('%Y-%m-%d')
today1=pd.to_datetime(today1)
Then, you can construct the data frame:
df = pandas.DataFrame({'Date':'2016-11-24 11:03:10.050000', 'today1': today1 }, index = [0])
In this example I just have 2 columns, each with one value.
Next, you should check the data types:
print(df.dtypes)
Date datetime64[ns]
today1 datetime64[ns]
If both data types are datetime64[ns]
, you can then subtract df.Date
from df.today1
.
print(df.today1 - df.Date)
The output:
0 19 days 12:56:49.950000
dtype: timedelta64[ns]
Upvotes: 1