Dear Plotly,

Thank you for your open source plotly.js library. We are finding it very useful for our renewable energy and meteorological data. We have found an issue and would like to report it in hopes of finding a resolution.

We have time series data for example 2 months of Clear Sky Insolation on a Horizontal Surface at a given location. We like to plot this data using a line and histrogram chart. When we have missing data, we use 'nan' to fill the missing data values to exclude from the charts. Sometimes (and we don't exactly know the threshold), if we have too many missing data values, the line chart Y axis is not sorted by value and it adds 'nan' as a value and the entire graph skews, as if it includes 'nan' as a value and sorts the y axis based on randomness. We are not sure how to resolve this other than not show a chart if we have too many missing values for a given time series and parameter, although sometimes it appears to work as expected. Here is our application power.larc.nasa.gov/data-access-viewer

I've attached 2 screen shots showing how the line charts excludes 'nan' values and removes them from the line in the first image, and in the second image how it adds 'nan' to the Y axis as if it is a value.

Thank you for your assistance with this isssue.

Feel free to reach me at tyler.d.bristow@nasa.gov