Jupyter 5.X通过添加以下代码，此设置已被禁用
pylab = Unicode('disabled', config=True,
help=_("""
DISABLED: use %pylab or %matplotlib in the notebook to enable matplotlib.
""")
)
@observe('pylab')
def _update_pylab(self, change):
"""when --pylab is specified, display a warning and exit"""
if change['new'] != 'warn':
backend = ' %s' % change['new']
else:
backend = ''
self.log.error(_("Support for specifying --pylab on the command line has been removed."))
self.log.error(
_("Please use `%pylab{0}` or `%matplotlib{0}` in the notebook itself.").format(backend)
)
self.exit(1)
在以前的版本中，它主要是警告。但这不是一个大问题，因为Jupyter使用的概念，kernels您可以通过运行以下命令来找到项目的内核
$ jupyter kernelspec list
Available kernels:
python3 /Users/tarunlalwani/Documents/Projects/SO/notebookinline/bin/../share/jupyter/kernels/python3
这给了我内核文件夹的路径。现在，如果我打开/Users/tarunlalwani/Documents/Projects/SO/notebookinline/bin/../share/jupyter/kernels/python3/kernel.json文件，我会看到类似下面的内容
{
"argv": [
"python",
"-m",
"ipykernel_launcher",
"-f",
"{connection_file}",
],
"display_name": "Python 3",
"language": "python"
}
这样您就可以看到执行了什么命令来启动内核。因此，如果您运行以下命令
$ python -m ipykernel_launcher --help
IPython: an enhanced interactive Python shell.
Subcommands
-----------
Subcommands are launched as `ipython-kernel cmd [args]`. For information on
using subcommand 'cmd', do: `ipython-kernel cmd -h`.
install
Install the IPython kernel
Options
-------
Arguments that take values are actually convenience aliases to full
Configurables, whose aliases are listed on the help line. For more information
on full configurables, see '--help-all'.
....
--pylab=<CaselessStrEnum> (InteractiveShellApp.pylab)
Default: None
Choices: ['auto', 'agg', 'gtk', 'gtk3', 'inline', 'ipympl', 'nbagg', 'notebook', 'osx', 'pdf', 'ps', 'qt', 'qt4', 'qt5', 'svg', 'tk', 'widget', 'wx']
Pre-load matplotlib and numpy for interactive use, selecting a particular
matplotlib backend and loop integration.
--matplotlib=<CaselessStrEnum> (InteractiveShellApp.matplotlib)
Default: None
Choices: ['auto', 'agg', 'gtk', 'gtk3', 'inline', 'ipympl', 'nbagg', 'notebook', 'osx', 'pdf', 'ps', 'qt', 'qt4', 'qt5', 'svg', 'tk', 'widget', 'wx']
Configure matplotlib for interactive use with the default matplotlib
backend.
...
To see all available configurables, use `--help-all`
所以现在如果我们将kernel.json文件更新为
{
"argv": [
"python",
"-m",
"ipykernel_launcher",
"-f",
"{connection_file}",
"--pylab",
"inline"
],
"display_name": "Python 3",
"language": "python"
}
如果我运行jupyter notebook图表，则会自动inline
请注意，下面的方法仍然有效，您可以在以下路径中创建文件
〜/ .ipython / profile_default / ipython_kernel_config.py
c = get_config()
c.IPKernelApp.matplotlib = 'inline'
但是这种方法的缺点是，这对于使用python的每个环境都是全球性的影响。如果您希望通过单个更改在整个环境中具有共同的行为，则也可以认为这是一种优势。
因此，请根据您的需求选择要使用的方法