Send an email based on the date in a CSV column - python-3.x

Question

I am looking to read data from a column in my CSV file.
All of the data in this column are dates. (DD/MM/YYYY).
I want my program to read the Dates column, and if the date is within 3 days of the current date, I want to add variables to all of the values in that row.
Ex.
Date,Name,LaterDate
1/1/19,John Smith, 2/21/19
If I run my program on 2/19/2019, I want an email sent that says "John Smith's case is closing on "2/21/2019".
I understand how to send an email. The part that I get stuck on is:
Reading the CSV column specifically.
If the date is within 3 days,
Assign variables to the values in the ROW,
Use those variables to send a custom email.
I see a lot of "Use Pandas" but I might need the individual steps broken down.
Thank you.

Answer 1

First things first, you need to read all the values of the csv file and store it in a variable (old_df). Then you need to save all the dates in the Series (dates). Next we create an empty DataFrame with the same columns. From here we create a simple for loop for each date in dates and it's index i. Turn date into a datetime object from the datetime library. Then we subtract amount of days between the current date and date. Take the absolute value of days so we always get a positive amount of days. Then add the index of that particular date in old_df to new_df.
import pandas as pd
from datetime import datetime
old_df = pd.read_csv('example.csv')
dates = old_df['LaterDate']
new_df = pd.DataFrame(columns=['Date', 'Name', 'LaterDate'])
for i, date in enumerate(dates):
date = datetime.strptime(date, '%m/%d/%y')
days = (datetime.now() - date).days
if abs(days) <= 3:
new_df = new_df.append(old_df.loc[i, :])
print(new_df)