# Parallel Categories

**URL:** <https://community.plotly.com/t/parallel-categories/33326>\
**Category:** 📊 Plotly Python\
**Created:** [January 8, 2020, 3:22am UTC](https://community.plotly.com/t/parallel-categories/33326 "2020-01-08T03:22:35Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![Ankit\_Sachan](https://sea2.discourse-cdn.com/flex024/user_avatar/community.plotly.com/ankit_sachan/32/8992_2.png) [@Ankit\_Sachan](https://community.plotly.com/u/Ankit_Sachan)\
**Post date:** [January 8, 2020, 3:22am UTC](https://community.plotly.com/t/parallel-categories/33326/1 "2020-01-08T03:22:35Z")

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How to enable parallel categories to ignore the NaN value?

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**Author:** ![kmysiak](https://avatars.discourse-cdn.com/v4/letter/k/e480ec/32.png) [@kmysiak](https://community.plotly.com/u/kmysiak)\
**Post date:** [December 14, 2021, 9:55pm UTC](https://community.plotly.com/t/parallel-categories/33326/2 "2021-12-14T21:55:30Z")

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Were you able to find an answer? I’m working with a parallel categories plot and since not every node in my data reaches the final node, I have null values. The plot is aggregating nulls into their own category and making the plot look busy.
