Numpy error at setting hue_mask

[allermat]

Hi,

I'm getting the following error when executing cell 16 in the python tutorial with my own data. I'm using numpy 1.24.3. Basically, instead of np.bool, it should be just bool in line 61 and 64 in PtitPrince.py. I tested it and it works fine that way.

Best wishes,
Máté

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
Cell In[8], line 3
      1 f, ax = plt.subplots(figsize=(7, 5))
      2 dx = 'condition'; dy = 'response_time'; ort = 'h'; pal = sns.color_palette(n_colors=1)
----> 3 ax=pt.RainCloud(x = dx, y = dy, data = rt_df_sub, palette = pal, bw = 0.3,
      4                 order=['match', 'total_mismatch', 'partial_mismatch_onset', 'partial_mismatch_offset'],
      5                 width_viol=0.7, ax = ax, orient = ort, move = 0.2)
      6 f.savefig('../../results/figure_rt_raincloud.svg')

File [~/.conda/envs/my_mne1.4_fix/lib/python3.11/site-packages/ptitprince/PtitPrince.py:779](https://vscode-remote+ssh-002dremote-002blogin-002dj01.vscode-resource.vscode-cdn.net/imaging/davis/Projects/SpeechMisperceptionMEEG/code/analysis/~/.conda/envs/my_mne1.4_fix/lib/python3.11/site-packages/ptitprince/PtitPrince.py:779), in RainCloud(x, y, hue, data, order, hue_order, orient, width_viol, width_box, palette, bw, linewidth, cut, scale, jitter, move, offset, point_size, ax, pointplot, alpha, dodge, linecolor, **kwargs)
    776     _ = plt.setp(ax.collections + ax.artists, alpha = alpha)
    778 # Draw rain/stripplot
--> 779 ax =  stripplot (x = x, y = y, hue = hue, data = data, orient = orient,
    780                 order = order, hue_order = hue_order, palette = palette,
    781                 move = move, size = point_size, jitter = jitter, dodge = dodge,
    782                 width = width_box, ax = ax, **kwrain)
    784 # Add pointplot
    785 if pointplot:

File [~/.conda/envs/my_mne1.4_fix/lib/python3.11/site-packages/ptitprince/PtitPrince.py:671](https://vscode-remote+ssh-002dremote-002blogin-002dj01.vscode-resource.vscode-cdn.net/imaging/davis/Projects/SpeechMisperceptionMEEG/code/analysis/~/.conda/envs/my_mne1.4_fix/lib/python3.11/site-packages/ptitprince/PtitPrince.py:671), in stripplot(x, y, hue, data, order, hue_order, jitter, dodge, orient, color, palette, move, size, edgecolor, linewidth, ax, width, **kwargs)
    666     edgecolor = plotter.gray
    667 kwargs.update(dict(s=size ** 2,
    668                    edgecolor=edgecolor,
    669                    linewidth=linewidth))
--> 671 plotter.plot(ax, kwargs)
    672 return ax

File [~/.conda/envs/my_mne1.4_fix/lib/python3.11/site-packages/ptitprince/PtitPrince.py:98](https://vscode-remote+ssh-002dremote-002blogin-002dj01.vscode-resource.vscode-cdn.net/imaging/davis/Projects/SpeechMisperceptionMEEG/code/analysis/~/.conda/envs/my_mne1.4_fix/lib/python3.11/site-packages/ptitprince/PtitPrince.py:98), in _StripPlotter.plot(self, ax, kws)
     96 def plot(self, ax, kws):
     97     """Make the plot."""
---> 98     self.draw_stripplot(ax, kws)
     99     self.add_legend_data(ax)
    100     self.annotate_axes(ax)

File [~/.conda/envs/my_mne1.4_fix/lib/python3.11/site-packages/ptitprince/PtitPrince.py:61](https://vscode-remote+ssh-002dremote-002blogin-002dj01.vscode-resource.vscode-cdn.net/imaging/davis/Projects/SpeechMisperceptionMEEG/code/analysis/~/.conda/envs/my_mne1.4_fix/lib/python3.11/site-packages/ptitprince/PtitPrince.py:61), in _StripPlotter.draw_stripplot(self, ax, kws)
     58 if self.plot_hues is None or not self.dodge:
     60     if self.hue_names is None:
---> 61         hue_mask = np.ones(group_data.size, np.bool)
     62     else:
     63         hue_mask = np.array([h in self.hue_names
     64                              for h in self.plot_hues[i]], np.bool)

File [~/.conda/envs/my_mne1.4_fix/lib/python3.11/site-packages/numpy/__init__.py:305](https://vscode-remote+ssh-002dremote-002blogin-002dj01.vscode-resource.vscode-cdn.net/imaging/davis/Projects/SpeechMisperceptionMEEG/code/analysis/~/.conda/envs/my_mne1.4_fix/lib/python3.11/site-packages/numpy/__init__.py:305), in __getattr__(attr)
    300     warnings.warn(
    301         f"In the future `np.{attr}` will be defined as the "
    302         "corresponding NumPy scalar.", FutureWarning, stacklevel=2)
    304 if attr in __former_attrs__:
--> 305     raise AttributeError(__former_attrs__[attr])
    307 # Importing Tester requires importing all of UnitTest which is not a
    308 # cheap import Since it is mainly used in test suits, we lazy import it
    309 # here to save on the order of 10 ms of import time for most users
    310 #
    311 # The previous way Tester was imported also had a side effect of adding
    312 # the full `numpy.testing` namespace
...

AttributeError: module 'numpy' has no attribute 'bool'.
`np.bool` was a deprecated alias for the builtin `bool`. To avoid this error in existing code, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

[saurabhr]

pip install and conda install both lead to this error, even though the issue seems to be resolved on the github repo.

[ranggakd]

@allermat I'm getting the same error here. Just like @saurabhr said, it was solved like that here too #36. Is there a way to update the PyPi package so we don't have to clone the repo directly?

AttributeError: module 'numpy' has no attribute 'bool'.
np.bool was a deprecated alias for the builtin bool. To avoid this error in existing code, use bool by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use np.bool_ here.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

[pog87]

solved in version 0.2.7.