How to get the n-largest values of an array using NumPy?

Addition and Subtraction on TimeDelta objects using Pandas – Python

Last Updated : 29 Aug, 2020

TimeDelta module is used to represent the time in the pandas module and can be used in various ways. Performing operations like addition and subtraction are very important for every language but performing these tasks on dates and time can be very valuable.

Operations on TimeDelta dataframe or series –

1) Addition –

df['Result'] = df['TimeDelta1'] + df['TimeDelta2']

2) Subtraction –

df['Result'] = df['TimeDelta1'] - df['TimeDelta2']

Return: Return the dataframe after operations is performed.

Example #1 :

In this example, we can see that by using various operations on date and time, we are able to get the addition and subtraction on the dataframe having TimeDelta object values.

Python3

# import pandas and numpy 
import pandas as pd 
import numpy as np 
  
# Perform addition operation 
a = pd.Series(pd.date_range('2020-8-10', periods=5, freq='D')) 
b = pd.Series([pd.Timedelta(days=i) for i in range(5)]) 
  
gfg = pd.DataFrame({'A': a, 'B': b}) 
gfg['Result'] = gfg['A'] + gfg['B'] 
  
print(gfg)

Output :

A B Result

0 2020-08-10 0 days 2020-08-10

1 2020-08-11 1 days 2020-08-12

2 2020-08-12 2 days 2020-08-14

3 2020-08-13 3 days 2020-08-16

4 2020-08-14 4 days 2020-08-18

Example #2 :

Python3

# import pandas and numpy 
import pandas as pd 
import numpy as np 
  
# Perform addition operation 
a = pd.Series(pd.date_range('2020-8-10', periods=4, freq='D')) 
b = pd.Series([pd.Timedelta(days=i) for i in range(4)]) 
  
gfg = pd.DataFrame({'A': a, 'B': b}) 
gfg['Result'] = gfg['A'] - gfg['B'] 
  
print(gfg)

Output :

A B Result

0 2020-08-10 0 days 2020-08-10

1 2020-08-11 1 days 2020-08-10

2 2020-08-12 2 days 2020-08-10

3 2020-08-13 3 days 2020-08-10

How to get the n-largest values of an array using NumPy?

J

Jitender_1998

Improve

Article Tags :

Practice Tags :

python

Similar Reads

Date Calculator for adding and subtracting days Using Tkinter - Python

Prerequisite: Tkinter, tkcalendar in Tkinter, and DateTime Python offers multiple options for developing GUI (Graphical User Interface). Out of all the GUI methods, Tkinter is the most commonly used method. It is a standard Python interface to the Tk GUI toolkit shipped with Python. Python with Tkin

How to add and subtract days using DateTime in Python?

As we know date and time are used in programs where we have to keep track of date and time, so it is necessary to have a module to manipulate date and time. In Python, a DateTime module deals with dates and times. Datetime module is built into Python standard library. Datetime module consists of the

Python | Pandas TimedeltaIndex.asobject

Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier. Pandas TimedeltaIndex.asobject attribute return object Index which contains boxed valu

Python | Pandas TimedeltaIndex.nanoseconds

Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier. Pandas TimedeltaIndex.nanoseconds attribute return the number of nanoseconds for each

Python | Pandas Timedelta.nanoseconds

Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier. Timedelta is a subclass of datetime.timedelta, and behaves in a similar manner. It is

Python | Pandas TimedeltaIndex.set_names

Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier. Pandas TimedeltaIndex.set_names() function is used to set new names on the given Timed

Python | Pandas TimedeltaIndex.dtype_str

Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier. Pandas TimedeltaIndex.dtype_str attribute return the data type of the TimedeltaIndex o

Pandas - Generating ranges of timestamps using Python

A timestamp is a string of characters or encrypted or encoded data that identifies the time and date of an event, usually indicating the time and date of day, and is often accurate to a fraction of a second. timestamps are used to maintain track of information. When information was created, transmit

Python | Pandas TimedeltaIndex.get_slice_bound

Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier. Pandas TimedeltaIndex.get_slice_bound() function calculate slice bound that correspond

Python | Pandas TimedeltaIndex.is_monotonic

Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric python packages. Pandas is one of those packages and makes importing and analyzing data much easier. Pandas TimedeltaIndex.is_monotonic attribute checks if the given TimedeltaIndex object