# Input Validations

**URL:** <https://community.plotly.com/t/input-validations/9665>\
**Category:** Dash Python\
**Created:** [April 13, 2018, 12:42pm UTC](https://community.plotly.com/t/input-validations/9665 "2018-04-13T12:42:11Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![Rishikesh\_007](https://avatars.discourse-cdn.com/v4/letter/r/848f3c/32.png) [@Rishikesh\_007](https://community.plotly.com/u/Rishikesh_007)\
**Post date:** [April 13, 2018, 12:42pm UTC](https://community.plotly.com/t/input-validations/9665/1 "2018-04-13T12:42:11Z")

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Hello,  
I am using dash table experiments for my app. I would like to know that can I somehow apply validations on dash data table’s input. I have one column in data table which is further used as pandas dataframe. I want to limit the user input to this column to only integers between 1 to 25. Is there any way to not allow user fromo entering any characters other than valid integers?

Thankyou!!

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<div class="post-metadata">

**Author:** ![charleyferrari](https://sea2.discourse-cdn.com/flex024/user_avatar/community.plotly.com/charleyferrari/32/3109_2.png) [@charleyferrari](https://community.plotly.com/u/charleyferrari)\
**Post date:** [April 30, 2018, 9:28pm UTC](https://community.plotly.com/t/input-validations/9665/2 "2018-04-30T21:28:58Z")

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Thanks for writing in!

There’s no automatic validation for user input in the way you’re describing. I would suggest validating the input on your own: use the datatable as an input, validate the values, and have a separate div notifying the user it’s validated or some values need to be changed.