Don't miss your chance to take the Fabric Data Engineer (DP-700) exam on us!
Learn moreThe FabCon + SQLCon recap series starts April 14th at 8am Pacific. If you’re tracking where AI is going inside Fabric, this first session is a can't miss. Register now
extract name from email address without any non alpha characters for example mickey.l.mouse34@usa.com. to Mickey L Mouse in a column
Hi @preciouslife-73 ,
Thanks for reaching out to us.
You can easily do this in Power Query editor.
Here's an example.
Raw data:
Steps:
1.Split column by delimiter.
2.Add a custom to extract the letters.
= Text.Select([email.1],{"a".."z","A".."Z"})
Result:
Best Regards,
Stephen Tao
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly
yes but, they are not spaced out by the name, middle and last name. Is there anyway to combine few commands in the custom column? for example use the delimiter command for the left of @, then replace the decimal with the space, then select the values as you showed me. I tried to use the word "and" to combine all that but it is not working. the process process you provided is good but too many columns. I prefer one column added.
Hi @preciouslife-73 ,
Thanks for replying to me.
You want to replace non-letters with spaces, for example, change the text string from"mickey.l.mouse" to "mickey l mouse", right?
If so, you can refer to this similar post:
Solved: how to replace all special character with space - Microsoft Fabric Community
For the consideration you raised about adding multiple columns, this can be integrated into one, or in the last step, remove the columns you don't need.
Best Regards,
Stephen Tao
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
| User | Count |
|---|---|
| 52 | |
| 45 | |
| 44 | |
| 19 | |
| 19 |
| User | Count |
|---|---|
| 71 | |
| 70 | |
| 34 | |
| 33 | |
| 31 |