File"C:\Users\keert\anaconda3\Lib\site-packages\spyder\dependencies.py", line389, inaddDEPENDENCIES+=[Dependency(modname, package_name, features, File"C:\Users\keert\anaconda3\Lib\site-packages\spyder\dependencies.py", line331, in__init__self.installed_version=programs.get_module_version(modname...
cython >=0.21 : None (NOK) matplotlib >=3.0.0 : 3.9.2 (OK) numpy >=1.7 : 1.26.4 (OK) pandas >=1.1.1 : 2.2.2 (OK) scipy >=0.17.0 : 1.13.1 (OK) sympy >=0.7.3 : 1.13.2 (OK) Environment Environment # packages in environment at C:\ProgramData\anaconda3: # # Name Versio...
EN我是Spyder的新手，正在使用KDD1999数据。我正在尝试基于数据集创建图表，例如srv_error rates的总量。...
> > > guiqwt.pyplot: equivalent to matplotlib's pyplot module (pylab) > > > > supported plot items: > > > > * curves, error bar curves and 1-D histograms > > > * images (RGB images are not supported), images with non-linear > > > x/y scales, images with specified pixel size...
You can decide whether figures created with Matplotlib will show ·Inline, i.e. inside the IPython Console, or ·Inside a new window, with an options toolbar. The first option is convenient to save a record of the interactive session (Ctrl-Sin the console). ...
zmq >=17 : 19.0.2 (OK) # Optional: cython >=0.21 : 0.29.21 (OK) matplotlib >=2.0.0 : 3.3.2 (OK) numpy >=1.7 : 1.19.2 (OK) pandas >=0.13.1 : 1.1.3 (OK) scipy >=0.17.0 : 1.5.2 (OK) sympy >=0.7.3 : 1.6.2 (OK)...
Completion from packages installed in an external environment are not showing in the editor. Instead, completions from the package installed in the spyder environment are showing. What steps reproduce the problem? Create an external environment with conda create --name test flask spyder-kernels Set ...
PR 21834 - PR: Fix hangs when using Matplotlib interactive backends (IPython console), by @ccordoba12 (21299) PR 21784 - PR: Do not use version in macOS artifact name and fix names for the future Spyder 6 installers (Installers), by @mrclary (21781) PR 21783 - PR: Always activate a...
import imageio import matplotlib.pyplot as plt im = imageio.mimread('image.tif') plt.figure(figsize=(2048,2048)) #int this case, 2048 inch, it's a very big image! plt.imshow(im[1]) -> Kernel died, restarting I understand why the kernel die, but the console should return a mess...
Show Matplotlib backend and Python environment information in the status bar. Make kernel restarts be much faster for the current interpreter. Add experimental support for Qt 6 and increase minimal required version to Qt 5.15. Turn runfile, debugfile, runcell and related commands into IPython magics...