search
Search
Login
Math ML
Map of Data Science
Join our weekly DS/ML newsletter
menu
menu search toc more_vert
Robocat
Guest 0reps
Thanks for the thanks!
close
Outline
Comments
Log in or sign up
Cancel
Post
account_circle
Profile
exit_to_app
Sign out
help Ask a question
Share on Twitter
search
keyboard_voice
close
Searching Tips
Search for a recipe:
"Creating a table in MySQL"
Search for an API documentation: "@append"
Search for code: "!dataframe"
Apply a tag filter: "#python"
Useful Shortcuts
/ to open search panel
Esc to close search panel
to navigate between search results
d to clear all current filters
Enter to expand content preview
icon_star
Doc Search
icon_star
Code Search Beta
SORRY NOTHING FOUND!
mic
Start speaking...
Voice search is only supported in Safari and Chrome.
Navigate to
A
A
brightness_medium
share
arrow_backShare

Adding new column containing the difference between two date columns in Pandas DataFrame

Pandas
chevron_right
Cookbooks
chevron_right
DataFrame Cookbooks
chevron_right
Time Series Cookbook
schedule Jul 1, 2022
Last updated
local_offer PythonPandas
Tags
tocTable of Contents
expand_more

Consider the following DataFrame:

dates1 = pd.date_range(start="2020/12/15", periods=3)
dates2 = pd.date_range(start="2020/12/20", periods=3, freq="2D")
df = pd.DataFrame({"A":dates1, "B":dates2})
df
A B
0 2020-12-15 2020-12-20
1 2020-12-16 2020-12-22
2 2020-12-17 2020-12-24

Pandas allows for date arithmetics using the standard binary operators (e.g. +, -):

df["C"] = df["B"] - df["A"]
df
A B C
0 2020-12-15 2020-12-20 5 days
1 2020-12-16 2020-12-22 6 days
2 2020-12-17 2020-12-24 7 days

Here, column C is of type timedelta64[ns], which explains why the term "days" is appended. To remove the "days", use dt.days to extract the day unit as an int64:

df["C"] = (df["B"] - df["A"]).dt.days
df
A B C
0 2020-12-15 2020-12-20 5
1 2020-12-16 2020-12-22 6
2 2020-12-17 2020-12-24 7
mail
Join our newsletter for updates on new DS/ML comprehensive guides (spam-free)
robocat
Published by Isshin Inada
Edited by 0 others
Did you find this page useful?
thumb_up
thumb_down
thumb_up
1
thumb_down
0
chat_bubble_outline
0
settings
Enjoy our search
Hit / to insta-search docs and recipes!