yt Failed to load: Trying to re-register the builtin cmap 'cubehelix'.

[Sifyrena]

Bug report

Bug summary

Hi there, I just now upgraded yt 3 to yt 4.0.5 on my system, and it fails to initially load on my system, with the following error

ValueError: Trying to re-register the builtin cmap 'cubehelix'.

Code for reproduction

import matplotlib
matplotlib.__version__ # 3.5.1
import yt

Actual outcome

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
Input In [4], in <cell line: 3>()
      1 import numpy as np
      2 import matplotlib.pyplot as plt
----> 3 import yt
      4 get_ipython().run_line_magic('matplotlib', 'notebook')

File ~/opt/anaconda3/lib/python3.9/site-packages/yt/__init__.py:63, in <module>
     46 from yt.units.unit_object import define_unit
     47 from yt.units.yt_array import \
     48     YTArray, \
     49     YTQuantity, \
   (...)
     60     savetxt, \
     61     display_ytarray
---> 63 from yt.fields.api import \
     64     field_plugins, \
     65     DerivedField, \
     66     FieldDetector, \
     67     FieldInfoContainer, \
     68     ValidateParameter, \
     69     ValidateDataField, \
     70     ValidateProperty, \
     71     ValidateSpatial, \
     72     ValidateGridType, \
     73     add_field, \
     74     derived_field, \
     75     add_xray_emissivity_field
     77 from yt.data_objects.api import \
     78     DatasetSeries, ImageArray, \
     79     particle_filter, add_particle_filter, \
     80     create_profile, Profile1D, Profile2D, Profile3D, \
     81     ParticleProfile
     83 # For backwards compatibility

File ~/opt/anaconda3/lib/python3.9/site-packages/yt/fields/api.py:19, in <module>
      7 #-----------------------------------------------------------------------------
      8 # Copyright (c) 2013, yt Development Team.
      9 #
   (...)
     12 # The full license is in the file COPYING.txt, distributed with this software.
     13 #-----------------------------------------------------------------------------
     15 from .field_plugin_registry import \
     16     register_field_plugin, \
     17     field_plugins
---> 19 from . import angular_momentum
     20 from . import astro_fields
     21 from . import cosmology_fields

File ~/opt/anaconda3/lib/python3.9/site-packages/yt/fields/angular_momentum.py:26, in <module>
     20 from .derived_field import \
     21     ValidateParameter
     23 from .field_plugin_registry import \
     24     register_field_plugin
---> 26 from .vector_operations import \
     27     create_magnitude_field
     29 from yt.utilities.lib.misc_utilities import \
     30     obtain_position_vector, \
     31     obtain_relative_velocity_vector
     33 @register_field_plugin
     34 def setup_angular_momentum(registry, ftype = "gas", slice_info = None):
     35     # Angular momentum defined here needs to be consistent with
     36     # _particle_specific_angular_momentum in particle_fields.py

File ~/opt/anaconda3/lib/python3.9/site-packages/yt/fields/vector_operations.py:32, in <module>
     20 from yt.utilities.math_utils import \
     21     get_sph_r_component, \
     22     get_sph_theta_component, \
   (...)
     25     get_cyl_z_component, \
     26     get_cyl_theta_component
     28 from yt.funcs import \
     29     just_one, \
     30     handle_mks_cgs
---> 32 from yt.geometry.geometry_handler import \
     33     is_curvilinear
     35 from yt.utilities.lib.misc_utilities import obtain_relative_velocity_vector
     37 def get_bulk(data, basename, unit):

File ~/opt/anaconda3/lib/python3.9/site-packages/yt/geometry/geometry_handler.py:29, in <module>
     27 from yt.utilities.io_handler import io_registry
     28 from yt.utilities.logger import ytLogger as mylog
---> 29 from yt.utilities.parallel_tools.parallel_analysis_interface import \
     30     ParallelAnalysisInterface, parallel_root_only
     31 from yt.utilities.exceptions import YTFieldNotFound
     33 class Index(ParallelAnalysisInterface):

File ~/opt/anaconda3/lib/python3.9/site-packages/yt/utilities/parallel_tools/parallel_analysis_interface.py:30, in <module>
     26 from yt.funcs import \
     27     ensure_list, iterable
     29 from yt.config import ytcfg
---> 30 from yt.data_objects.image_array import ImageArray
     31 import yt.utilities.logger
     32 from yt.utilities.lib.quad_tree import \
     33     QuadTree, merge_quadtrees

File ~/opt/anaconda3/lib/python3.9/site-packages/yt/data_objects/image_array.py:18, in <module>
     15 import numpy as np
     16 from yt.config import \
     17     ytcfg
---> 18 from yt.visualization.image_writer import write_bitmap, write_image
     19 from yt.units.yt_array import YTArray
     22 class ImageArray(YTArray):

File ~/opt/anaconda3/lib/python3.9/site-packages/yt/visualization/image_writer.py:26, in <module>
     24 from yt.units.yt_array import YTQuantity
     25 from yt.utilities.exceptions import YTNotInsideNotebook
---> 26 from .color_maps import mcm
     27 from . import _colormap_data as cmd
     28 import yt.utilities.lib.image_utilities as au

File ~/opt/anaconda3/lib/python3.9/site-packages/yt/visualization/color_maps.py:164, in <module>
    156 _h_cubehelix = 1.0
    158 _cubehelix_data = {
    159         'red': lambda x: x**_gamma_cubehelix + (_h_cubehelix * x**_gamma_cubehelix * (1 - x**_gamma_cubehelix) / 2) * (-0.14861 * np.cos(2 * np.pi * (_s_cubehelix / 3 + _r_cubehelix * x)) + 1.78277 * np.sin(2 * np.pi * (_s_cubehelix / 3 + _r_cubehelix * x))),
    160         'green': lambda x: x**_gamma_cubehelix + (_h_cubehelix * x**_gamma_cubehelix * (1 - x**_gamma_cubehelix) / 2) * (-0.29227 * np.cos(2 * np.pi * (_s_cubehelix / 3 + _r_cubehelix * x)) - 0.90649 * np.sin(2 * np.pi * (_s_cubehelix / 3 + _r_cubehelix * x))),
    161         'blue': lambda x: x**_gamma_cubehelix + (_h_cubehelix * x**_gamma_cubehelix * (1 - x**_gamma_cubehelix) / 2) * (1.97294 * np.cos(2 * np.pi * (_s_cubehelix / 3 + _r_cubehelix * x))),
    162 }
--> 164 add_colormap("cubehelix", _cubehelix_data)
    166 # The turbo colormap, by Anton Mikhailov.
    167 # from: https://gist.github.com/mikhailov-work/ee72ba4191942acecc03fe6da94fc73f
    169 _turbo_colormap_data = np.array(
    170     [[0.18995,0.07176,0.23217],[0.19483,0.08339,0.26149],
    171      [0.19956,0.09498,0.29024],[0.20415,0.10652,0.31844],
   (...)
    296      [0.51989,0.02756,0.00780],[0.50664,0.02354,0.00863],
    297      [0.49321,0.01963,0.00955],[0.47960,0.01583,0.01055]])

File ~/opt/anaconda3/lib/python3.9/site-packages/yt/visualization/color_maps.py:52, in add_colormap(name, cdict)
     50 mcm.__dict__[name] = cdict
     51 try: # API compatibility
---> 52     mcm.register_cmap(name, yt_colormaps[name])
     53 except AttributeError:
     54     pass

File ~/opt/anaconda3/lib/python3.9/site-packages/matplotlib/cm.py:245, in register_cmap(name, cmap, override_builtin)
    243 if not override_builtin and name in __builtin_cmaps:
    244     msg = f"Trying to re-register the builtin cmap {name!r}."
--> 245     raise ValueError(msg)
    246 else:
    247     msg = f"Trying to register the cmap {name!r} which already exists."

ValueError: Trying to re-register the builtin cmap 'cubehelix'.

Version Information

• Operating System: macOS 13.2
• Python Version: 3.9
• yt version: 4.0.5
• Other Libraries (if applicable): Matplotlib 3.5.1

[welcome[bot]]

Hi, and welcome to yt! Thanks for opening your first issue. We have an issue template that helps us to gather relevant information to help diagnosing and fixing the issue.

[Sifyrena]

duplicate installs on my system. Not a bug. Sorry about this.

[neutrinoceros]

For posterity, this is a known incompatibility between matplotlib>=3.4 and yt<4.0, which was resolved in #3149