"Warning: converting a masked element to nan." No points shown.

[MikeDacre]

I am trying to use this on a plot that looks like this right now:

I am then trying to alter it with adjust_text(text), where text is:

[<matplotlib.text.Text at 0x7f6fde11d0f0>,
 <matplotlib.text.Text at 0x7f6fde11d6a0>,
 <matplotlib.text.Text at 0x7f6fde3fa4a8>,
 <matplotlib.text.Text at 0x7f6fde3f77b8>,
 <matplotlib.text.Text at 0x7f6fde3fd0f0>,
 <matplotlib.text.Text at 0x7f6fe04b4940>,
 <matplotlib.text.Text at 0x7f6fdfd3cd68>,
 <matplotlib.text.Text at 0x7f6fdfd9e208>,
 <matplotlib.text.Text at 0x7f6fde421ef0>,
 <matplotlib.text.Text at 0x7f6fde421198>,
 <matplotlib.text.Text at 0x7f6fdfe63f60>,
 <matplotlib.text.Text at 0x7f6fde0c7f98>]

Which is made up of:

4.99589203359e-05 0.136983144207 negative regulation of NF-kappaB transcription factor activity
1.42708419659e-07 0.00037604688739 regulation of I-kappaB kinase/NF-kappaB cascade
0.000122124137553 0.21743354123 LCP2 subnetwork
4.50311931626e-05 0.0790067851443 positive regulation of NF-kappaB import into nucleus
2.47281533515e-07 0.00039942634259 positive regulation of I-kappaB kinase/NF-kappaB cascade
9.8434675214e-07 0.00144148348153 B cell derived lymphoma
0.0036200813333 4.64673586023e-11 induction of apoptosis
0.00375139560284 6.10942616437e-11 induction of programmed cell death
7.12426700332e-05 4.99145223337e-12 myeloid leukocyte differentiation
0.00328031836042 3.21793224938e-09 dermatitis
0.00259303191503 4.66745286746e-09 decreased susceptibility to parasitic infection
0.181946564329 2.29179363976e-06 MCL1 subnetwork

When I try to do that though, I end up with the following error:

/usr/local/anaconda3/lib/python3.5/site-packages/numpy/ma/core.py:4185: UserWarning: Warning: converting a masked element to nan.
  warnings.warn("Warning: converting a masked element to nan.")

And no points are shown at all.

Any idea why this is happening? I am scratching my head.

Using python 3.5.2 with anaconda. Installed adjustText with pip today.

[MikeDacre]

By moving the adjust_text function up to the top and running it before any other plot modifications, I was able to eliminate this bug.

Thanks for an amazing piece of code.

[MikeDacre]

Actually, I figured out the problem:

This happens when inverting the axes prior to plotting.

It works fine if I don't invert the axes.

I can also avoid the above error by just inverting the axes after everything else is done, but the problem with that is that then the points are no longer nicely aligned:

As the error is no longer happening, I am going to close this now and open another issue to ask about the above specifically.