Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now! Learn more
Before I write my python script the 'Period' Column is of type Text but after I apply my script 'Period' becomes of type Date
How to I get it to stop automatically changing the data type? I want to keep it of type Text because then the script doesn't find the conditional statement that I am making.
Before:
After Script:
I've used this same code in Jupyter Notebook and it did exactly what I wanted.
Solved! Go to Solution.
Hi, @adamabdell ;
You could delete it in power query.
First open Formula Bar,
Then delete the date's type.
Best Regards,
Community Support Team _ Yalan Wu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi, @adamabdell ;
You could delete it in power query.
First open Formula Bar,
Then delete the date's type.
Best Regards,
Community Support Team _ Yalan Wu
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Change it by clicking the calendar icon then select the text type
Did I answer your question? If so, please mark my post as a solution!
Proud to be a Super User!
@mh2587 thank you for your response!
I have done that. But the issue is that the script is then not recognizing the change.
My table has 2 columns. Period and Value.
My script basically says:
if Period = 'a period':
then Value - 100
else:
then Value - 50
And with using pandas in the the return values are being stored in a new column
Does that make sense?
Check out the November 2025 Power BI update to learn about new features.
Advance your Data & AI career with 50 days of live learning, contests, hands-on challenges, study groups & certifications and more!
| User | Count |
|---|---|
| 57 | |
| 44 | |
| 42 | |
| 21 | |
| 17 |
| User | Count |
|---|---|
| 183 | |
| 114 | |
| 93 | |
| 62 | |
| 45 |