Python dataframe 带日期（日期和事件）

Question

Using PYTHON, I am trying to sort the values in the table based on dates and the associated events. Date1 and event1 are a pair because event1 occurred on date1. The same for other dates and events. date1 is in a column of its own, and event1 is also in its own separate column.

For example, the table would include as below:

date1	event1	date2	event2	date3	event3
March 6, 2021	eventC	Jan. 1, 2020	eventX	May 11, 2020	eventB
Dec. 6, 2021	eventBB	Feb. 11, 2001	eventYY	June 13, 1990	eventSS
March 16, 2019	eventCD	Jan. 1, 1998	eventRE	May 23, 1989	eventDF
Nov. 1, 2008	eventCC	April 14, 2001	eventWQ	March 17, 1999	eventCV

I would like the result to show as follows where for each row, sort the data from oldest date to the newest, but the order of the events follow their respective dates (eg eventC that occurred on March 6, 2021 as the first in row 0 is now reordered to be the third in row 0).

date1	event1	date2	event2	date3	event3
Jan. 1, 2020	eventX	May 11, 2020	eventB	March 6, 2021	eventC
June 13, 1990	eventSS	Feb. 11, 2001	eventYY	Dec. 6, 2021	eventBB
May 23, 1989	eventDF	Jan. 1, 1998	eventRE	March 16, 2019	eventCD
March 17, 1999	eventCV	Nov. 1, 2008	eventCC	April 14, 2001	eventWQ

I would like to keep the output in the table format as above. (unless there is a good reason not to...) =)

This is actually a very small version of a much larger data. Any help would be appreciated. Thanks to all in advance!!!

Answer 1

Cast the ' Dates ' values to datetime and use the sort_values() function. Example:

import pandas as pd

df = pd.DataFrame([{"Date":"02-01-1945","Name":"event2"},{"Date":"20-11-1934", "Name":"event1"}])
print(df)

#Output:
#
#         Date    Name
#0  02-01-1945  event2
#1  20-11-1934  event1

df["Date"] = pd.to_datetime(df["Date"])
df= df.sort_values(by="Date")
print(df)

#Output:
#        Date    Name
#1 1934-11-20  event1
#0 1945-02-01  event2