Bug in Jupyter Notebook 08

[mathieuboudreau]

For some reason, the two cells for Deep GM where

plot_single_scatter(x=indexes_numbers, ...

is run, there is an error, but it doesn't occur for the three other ROI types.

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
/tmp/ipykernel_236/1609318161.py in <module>
----> 1 fig_id = plot_single_scatter(x=indexes_numbers,
      2                              y=deepgm_estimate,
      3                              y_std=deepgm_std,
      4                              title='Deep GM',
      5                              x_label='Site #',

/tmp/ipykernel_236/1687494210.py in plot_single_scatter(x, y, y_std, title, x_label, y_label, file_prefix, folder_path, fig_id, y_type)
      3                         file_prefix, folder_path, fig_id,
      4                         y_type):
----> 5     plt.errorbar(x,y, y_std, fmt='o', solid_capstyle='projecting')
      6     plt.title(title)
      7     plt.xlabel(x_label)

/opt/conda/lib/python3.9/site-packages/matplotlib/pyplot.py in errorbar(x, y, yerr, xerr, fmt, ecolor, elinewidth, capsize, barsabove, lolims, uplims, xlolims, xuplims, errorevery, capthick, data, **kwargs)
   2519         uplims=False, xlolims=False, xuplims=False, errorevery=1,
   2520         capthick=None, *, data=None, **kwargs):
-> 2521     return gca().errorbar(
   2522         x, y, yerr=yerr, xerr=xerr, fmt=fmt, ecolor=ecolor,
   2523         elinewidth=elinewidth, capsize=capsize, barsabove=barsabove,

/opt/conda/lib/python3.9/site-packages/matplotlib/__init__.py in inner(ax, data, *args, **kwargs)
   1410     def inner(ax, *args, data=None, **kwargs):
   1411         if data is None:
-> 1412             return func(ax, *map(sanitize_sequence, args), **kwargs)
   1413 
   1414         bound = new_sig.bind(ax, *args, **kwargs)

/opt/conda/lib/python3.9/site-packages/matplotlib/axes/_axes.py in errorbar(self, x, y, yerr, xerr, fmt, ecolor, elinewidth, capsize, barsabove, lolims, uplims, xlolims, xuplims, errorevery, capthick, **kwargs)
   3458             low, high = dep + np.row_stack([-(1 - lolims), 1 - uplims]) * err
   3459 
-> 3460             barcols.append(lines_func(
   3461                 *apply_mask([indep, low, high], everymask), **eb_lines_style))
   3462             # Normal errorbars for points without upper/lower limits.

/opt/conda/lib/python3.9/site-packages/matplotlib/__init__.py in inner(ax, data, *args, **kwargs)
   1410     def inner(ax, *args, data=None, **kwargs):
   1411         if data is None:
-> 1412             return func(ax, *map(sanitize_sequence, args), **kwargs)
   1413 
   1414         bound = new_sig.bind(ax, *args, **kwargs)

/opt/conda/lib/python3.9/site-packages/matplotlib/axes/_axes.py in vlines(self, x, ymin, ymax, colors, linestyles, label, **kwargs)
   1140 
   1141         if len(x) > 0:
-> 1142             minx = x.min()
   1143             maxx = x.max()
   1144             miny = min(ymin.min(), ymax.min())

/opt/conda/lib/python3.9/site-packages/numpy/ma/core.py in min(self, axis, out, fill_value, keepdims)
   5698         # No explicit output
   5699         if out is None:
-> 5700             result = self.filled(fill_value).min(
   5701                 axis=axis, out=out, **kwargs).view(type(self))
   5702             if result.ndim:

/opt/conda/lib/python3.9/site-packages/numpy/core/_methods.py in _amin(a, axis, out, keepdims, initial, where)
     42 def _amin(a, axis=None, out=None, keepdims=False,
     43           initial=_NoValue, where=True):
---> 44     return umr_minimum(a, axis, None, out, keepdims, initial, where)
     45 
     46 def _sum(a, axis=None, dtype=None, out=None, keepdims=False,

TypeError: '<=' not supported between instances of 'str' and 'float'

Commenting out these cells could be a quick temporary fix (the notebook doesn't run fully otherwise).

[agahkarakuzu]

Is the cast type of deepgm_estimate are different than the ones that work (i.e., wm_estimate)? Probably the lists or the dataframe slices contain mixed types, casting entries to a unified type would solve the issue.

[mathieuboudreau]

I looked at the values and it all looked the same to me (which they should), but maybe there's a NaN or something that I missed. Must of had a change in behaviour in one of the underlying requirement packages (numpy?) in a recent version that broke it, as the notebooks worked as-is previously.