Pandas converts the date column to an integer and displaying the whole column as integer values

Question

I tried to pull an excel where I have a column as "ORDER LINE CREATE DATE" which consists of date values in MM/DD/YYYY format.

Now when I use the pd.read_excel(‘File path’)
it treats the date column as an integer value and displays an integer instead of date time
for ex. the date 7/15/2022 when imported is automatically converted to the value 44757 and similarly the date 7/14/2022 when imported gets automatically converted to the value 44756

What is causing this problem and how can I import the date in the same format as that in the excel,
I tried using dtype={‘ORDER LINE CREATE DATE’:"string"} and even dtype={‘ORDER LINE CREATE DATE’:"datetime64"} during the excel import but it still fails.
Thanks!

Asked By: pranshu dhyani

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Source

Answer 1

Can you try the following:

from datetime import datetime

df = pd.read_excel('File path')
df['ORDER LINE CREATE DATE'] = df['ORDER LINE CREATE DATE'].apply(
   lambda x: datetime.fromordinal(datetime(1900, 1, 1).toordinal() + int(x) - 2))

Answered By: Jeril

Pandas converts the date column to an integer and displaying the whole column as integer values

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