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Date format in pandas

I am changing date format using below code, however when I extracting this dataframe in excel, this date is appearing in text format (not date format).
new_data['Expiry']=new_data['Expiry'].dt.strftime('%d-%b-%Y')
How can I change my code so that my excel should also have date format?
PS: I don't want datetime format, need only date.

new_data['Expiry']=pd.to_datetime(new_data['Expiry'], format = '%d-%m-%Y')
new_data['Expiry']=new_data['Expiry'].dt.date

Python: Reading Excel and automatically turning a string into a Date object?

I'm using the openpyxl library in Python and I'm trying to read in the value of a cell. The cells value is a date in the format MM/DD/YYYY. I would like for the value to be read into my script simply as a string (i.e. "8/6/2014"), but instead Python is somehow automatically reading it as a date object (Result is "2014-08-06 00:00:00") I don't know if this is something I need to fix in Excel or Python, but how do I get the string I'm looking for?

I would suggest changing it in your Excel if you want to preserve what is being read in by openpyxl. That said, when a cell has been formatted to a date in Excel, it becomes altered to fit a specified format so you've lost the initial string format in either case.
For example, let's say that the user enters the date 1/1/2018 into a cell that is formatted MM/DD/YYYY, Excel will change the data to 01/01/2018 and you will lose the original string that was entered.
If you only care to see data of the form MM/DD/YYYY, an alternate solution would be to cast the date with date_cell.strftime("%m/%d/%Y")

I found out how to fix it with these lines of code:
dateString = str(ws.cell(row=row, column=column).value.date())
newDate = datetime.strptime(dateString, "%Y-%m-%d").strftime("%m/%d/%Y")
The string "newDate" gives me the format "8/6/2018"

Format Date-time column without losing the Date-time data-type in Python

I am trying to format the date-time column to the given format. The only solution I came across in Python is via using 'strftime' which convert the date-time to unicode.
original = df.date
required_date_format ='%d/%m/%Y'
formatted = df.date.dt.strftime(required_date_format)
converted_after_formatting = pd.to_datetime(\
df.date.dt.strftime(required_date_format),\
format=required_date_format)
The outputs of the above code snippet are as follows:
I want a solution that can format the date-time column without loosing it's data-type.

Column value is read as date instead of string - Pandas

I am having an excel file and in that one row of column Model is having value "9-3" which is a string value. I double-checked the excel file to have the column datatype as Plain string instead of Date. But still When I use read_excel and convert it into a data frame, the value is shown as 2017-09-03 00:00:00 instead of string "9-3".
Here is how I read the excel file:
table = pd.read_excel('ManualProfitAdjustmentUpdates.xlsx' , header=0, converters={'Model': str})
Any idea on why pandas is not treating value as string even when I set the converters as str?

The Plain string setting in the excel file affects only how the data is shown in Excel.
The str setting in the converter affects only how it treats the data that it gets.
To force the excel file to return the data as string, the cell's first character should be an apostrophe.
Change "9-3" to "'9-3".

The problem may be with excel. Make sure the entire column is stored as text and not just the singular value you are talking about. If excel had the column saved as a data at any point it will store a year in that cell no matter what is shown or what the datatype is changed too. Pandas is going to read the entire column as one data type so if you have dates above 9-3 it will be converted. Changing dates to strings without years can be tricky. It may be better to save the excel sheet as a csv once it is in the proper format you like and then use pandas pd.read_csv(). I made a test excel workbook "book1.xlsx"
9-3 1 Hello
12-1 2 World
1-8 3 Test
Then ran
import pandas as pd
df = pd.read_excel('book1.xlsx',header=0)
print(df)
and got back my data frame correctly. Thus, I am led to believe it is excel. Sorry is isn't the best answer but I don't believe it is a pandas error.

String to MMM-YY format

I am using xlrd to read a spreadsheet and write to a database. However, there is a cell value which needs to be written to a date column in the database.
The cell is a string and I read it as and trying to convert it to MON-YY as follows.
sales_month_val = curr_sheet.cell(1,5).value
print sales_month_val
current_sales_month = datetime.strptime(sales_month_val,'%MMM%-%YY%')
But I keep getting the conversion failed error message. Is the above conversion to datetime correct to convert to MON-YY format?
Thanks,
bee

You should take a look at this strftime reference.
The format you are looking for is:
%b-%y