Nivo: Line xScale with time type not adding ticks as expected

[ConnorHome]

Describe/explain the bug
When using <Line xScale={{ type: 'time', precision: 'day' }} /> the ticks on the x axis are added in weird positions. I have set the axisBottom tickValues to be the length of my data array which may be an issue but even if I change it to be 10 the ticks are still in strange positions.

In the example below I have 2 values that I want to plot on the graph. Despite being 3 days apart, even if I set the tickValues to be 10 I appear to get duplicate ticks but no tick on the last result in the data.

To Reproduce
https://codesandbox.io/embed/mystifying-banzai-hfgie

Expected behavior
I would always expect the values provided in my data to have a tick (my array is already pre-filtered so it will only ever deliver one score per day).

In the example provided I would expect there to be a Aug 02 tick.

Desktop (please complete the following information):

• OS: Mac OSX
• Browser: Chrome
• Version: 75

[wyze]

I always have to add useUTC: false to the xScale and it does seem to fix it in this case as well.

[ConnorHome]

@wyze you are right, useUTC: false does fix this instance but a simple change to the data set appears to confuse things again.

Forked example here: https://codesandbox.io/embed/sweet-cohen-1ehz7
I have added useUTC: false to the xScale but changed the first data point to be a day earlier.

[wyze]

I think the problem is now there is a decent gap in your data, but you tell nivo that you only want 2 tick values, so it does exactly that.

I have a similar graph where I had to do something custom based on the data length because nivo was being crazy with it's tick values.

  const dataLength = data[0].data.length
  const tickValues =
    dataLength < 5
      ? data[0].data.map(({ x }) => new Date(x, 0))
      : `every ${Math.round(dataLength / 10)} year`

My data is on year instead of day, but it would be similar. I noticed if there was less than 5 data points it would generate points that didn't make sense, so I passed points from my data.

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