Incompatibility to `matplotlib<3.5.2`
Nadie ha tomado este issue todavía.
Evaluación
- Dificultad
- 3/5
- Tiempo estimado
- 1-2 días
- Aptitud para principiantes
- 35/100
- Tipo de issue
- Error
- Claridad
- Bastante claro
- Estado de actividad
- Estancado
- Stack tecnológico
- jupyter-notebook, matplotlib, python
- Área
- backend, data-visualization
Línea de trabajo
Comienza con matplotlib_inline/backend_inline.py, especialmente _enable_matplotlib_integration(), y reproduce la importación informada usando matplotlib==3.5.1, numpy==1.24.1 y jupyter. Se considera terminado cuando importar matplotlib.pyplot en un notebook funciona con versiones de matplotlib anteriores a la 3.5.2 sin el AttributeError informado.
Escrito por el modelo de indexación a partir del texto del issue.
Descripción
When trying to import matplotlib in a jupyter notebook with matplotlib version smaller than 3.5.2 I get an error with the new release version 0.2.1. I understand the insentive of not having the direct dependency but I guess something should be done to prevent this. It works with both, the older matplotlib-inline version as well as newer matplotlib versions (>=3.5.2)
To reproduce
Install dependencies
pip install matplotlib==3.5.1 numpy==1.24.1 jupyter
Then open a jupyter notebook and try
import matplotlib.pyplot as plt
which will yield the following error
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
Cell In[1], line 1
----> 1 import matplotlib.pyplot as plt
File ~\temp\venv\lib\site-packages\matplotlib\pyplot.py:2230
2228 dict.__setitem__(rcParams, "backend", rcsetup._auto_backend_sentinel)
2229 # Set up the backend.
-> 2230 switch_backend(rcParams["backend"])
2232 # Just to be safe. Interactive mode can be turned on without
2233 # calling `plt.ion()` so register it again here.
2234 # This is safe because multiple calls to `install_repl_displayhook`
2235 # are no-ops and the registered function respect `mpl.is_interactive()`
2236 # to determine if they should trigger a draw.
2237 install_repl_displayhook()
File ~\temp\venv\lib\site-packages\matplotlib\pyplot.py:267, in switch_backend(newbackend)
260 # Backends are implemented as modules, but "inherit" default method
261 # implementations from backend_bases._Backend. This is achieved by
262 # creating a "class" that inherits from backend_bases._Backend and whose
263 # body is filled with the module's globals.
265 backend_name = cbook._backend_module_name(newbackend)
--> 267 class backend_mod(matplotlib.backend_bases._Backend):
268 locals().update(vars(importlib.import_module(backend_name)))
270 required_framework = _get_required_interactive_framework(backend_mod)
File ~\temp\venv\lib\site-packages\matplotlib\pyplot.py:268, in switch_backend.<locals>.backend_mod()
267 class backend_mod(matplotlib.backend_bases._Backend):
--> 268 locals().update(vars(importlib.import_module(backend_name)))
File ~\AppData\Local\Programs\Python\Python39\lib\importlib\__init__.py:127, in import_module(name, package)
125 break
126 level += 1
--> 127 return _bootstrap._gcd_import(name[level:], package, level)
File ~\temp\venv\lib\site-packages\matplotlib_inline\__init__.py:1
----> 1 from . import backend_inline, config # noqa
3 __version__ = "0.2.1"
5 # we can't ''.join(...) otherwise finding the version number at build time requires
6 # import which introduces IPython and matplotlib at build time, and thus circular
7 # dependencies.
File ~\temp\venv\lib\site-packages\matplotlib_inline\backend_inline.py:236
231 ip.events.unregister("post_run_cell", configure_once)
233 ip.events.register("post_run_cell", configure_once)
--> 236 _enable_matplotlib_integration()
239 def _fetch_figure_metadata(fig):
240 """Get some metadata to help with displaying a figure."""
File ~\temp\venv\lib\site-packages\matplotlib_inline\backend_inline.py:218, in _enable_matplotlib_integration()
216 backend = matplotlib.get_backend(auto_select=False)
217 else:
--> 218 backend = matplotlib.rcParams._get("backend")
220 if ip and backend in ("inline", "module://matplotlib_inline.backend_inline"):
221 from IPython.core.pylabtools import activate_matplotlib
AttributeError: 'RcParams' object has no attribute '_get'
- Lenguaje dominante
- Jupyter Notebook
- Estrellas
- 31
- Forks
- 39
- Métricas de merge de PR
- Sin PR fusionados en 30 d
Guía de contribución
No hay ninguna guía de contribución indexada para este repositorio
Primeros pasos
- Lee el issue completo y luego la guía de contribución del proyecto.
- Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
- Haz un fork del repositorio y trabaja en una rama.
- Abre un pull request que haga referencia al número del issue.
Más de ipython/matplotlib-inline
-
Support animations Abierto
Dificultad 3/5 1-2 días Aptitud para principiantes 48/100
ipython/matplotlib-inline#61 ·
-
sdist is missing tests Abierto
Dificultad 3/5 1-2 días Aptitud para principiantes 35/100
ipython/matplotlib-inline#59 ·
-
Publish changelog Abierto
Dificultad 3/5 1-2 días Aptitud para principiantes 35/100
ipython/matplotlib-inline#57 · 1 reacción ·
-
Dificultad 2/5 1-3 horas Aptitud para principiantes 48/100
ipython/matplotlib-inline#44 · 1 comentario ·
-
Rewrite image-based tests Abierto
Dificultad 5/5 Más de una semana Aptitud para principiantes 25/100
ipython/matplotlib-inline#43 ·
Todos los issues de ipython/matplotlib-inline
Issues similares
-
has_tail_capacity wraps and get_writable_raw_unchecked commits raw_len before the bounds check Abierto
Dificultad 2/5 1-3 horas Aptitud para principiantes 82/100
stratum-mining/stratum#2404 ·
-
opensubtitlescom: moviehash never sent when opensubtitles (.org) is not in the provider list Abierto
Dificultad 2/5 1-3 horas Aptitud para principiantes 86/100
Diaoul/subliminal#1382 ·
-
fix(errors): EHOSTUNREACH from a happy-eyeballs connect is reported as a resolver error (STAMP-80) Abierto
Dificultad 2/5 1-3 horas Aptitud para principiantes 90/100
snapshot-labs/stamp#666 ·
-
fix(api): prevent leaderboard SSE heartbeat from starting after disconnect during initial load Abiertobug
Dificultad 2/5 1-3 horas Aptitud para principiantes 75/100
GauravKarakoti/SecureFlow#1070 · 1 comentario ·
-
triage/confirmed
Dificultad 2/5 1-3 horas Aptitud para principiantes 88/100
agentscope-ai/agentscope#2775 ·