I have imported an excel (.xlsx) spreadsheet into my python code (using Pandas) and want to extract data from it and the spreadsheet contains the following;
DATE: Lecture1: Lecture2:
16/07/2020 09:30 11:00
17/07/2020 09:45 11:30
18/07/2020 09:45 11:00
19/07/2020 10:00 14:30
20/07/2020 09:30 14:45
How can I create the part of the code so that if "now = date.today()", then "print" the row of my lectures for that day...
I have the following;
import pandas as pd
data = pd.read_excel(r'/home/timetable1.xlsx')
data["Date"] = pd.to_datetime(data["Date"]).dt.strftime("%d-%m-%Y")
df = pd.DataFrame(data)
print (df)
This prints out the whole timetable as shown below (note the format changes slightly);
Date Lecture1 Lecture2
0 16-07-2020 09:30:00 11:00:00
1 17-07-2020 09:45:00 11:30:00
2 18-07-2020 09:45:00 11:00:00
3 19-07-2020 10:00:00 14:30:00
4 20-07-2020 09:30:00 14:45:00
So I am not sure what the part of the code will be to determine 'todays' date and show only 'todays' lecture times for example something like this maybe;
now = date.today()
now.strftime("%d-%m-%y")
if ["Date" == now]:
print ('timetable1.xlsx' index_col=now)
I am new to coding so not very good at it. The above code is wrong I know I can't think of a way to display the info.
So my desired output that I want;
Date Lecture1 Lecture2
18-07-2020 09:45:00 11:00:00
Your input would be much appreciated.
Check this:
data['Date'] = pd.to_datetime(data['Date']).dt.strftime("%d-%m-%Y")
now = pd.to_datetime('today').strftime("%d-%m-%Y")
print(data[data['Date'] == now])
Here you go:
from datetime import date
df['DATE'] = pd.to_datetime(df.DATE, format='%d/%m/%Y')
print(df[df.DATE == pd.to_datetime(date.today())])
Output (It's 19th for me)
DATE Lecture1 Lecture2
3 2020-07-19 10:00 14:30
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