如何在 jupyter lab 中 运行 magic 命令
How to run magic command in jupyter lab
我正在尝试 运行 jupyter lab 中的魔术命令,我最近安装了一些来自这个 link 的调试器扩展:
https://github.com/jupyterlab/debugger
当我运行这个命令时:
import numpy as np
from numpy.random import randint
#A function to simulate one million dice throws.
def one_million_dice():
return randint(low=1, high=7, size=1000000)
%%time
throws = one_million_dice()
mean = np.mean(throws)
错误:
---------------------------------------------------------------------------
SyntaxError Traceback (most recent call last)
File C:\Users\****\Anaconda3\envs\jupyterlab-debugger\lib\ast.py, in parse:
Line 35: return compile(source, filename, mode, PyCF_ONLY_AST)
SyntaxError: invalid syntax (<string>, line 1)
---------------------------------------------------------------------------
如何解决?
魔法函数应该放在一个单元格中。
尝试:
import numpy as np
from numpy.random import randint
#A function to simulate one million dice throws.
def one_million_dice():
return randint(low=1, high=7, size=1000000)
移至下一个单元格
%%time
throws = one_million_dice()
mean = np.mean(throws)
>>Wall time: 40.9 ms
我正在尝试 运行 jupyter lab 中的魔术命令,我最近安装了一些来自这个 link 的调试器扩展:
https://github.com/jupyterlab/debugger
当我运行这个命令时:
import numpy as np
from numpy.random import randint
#A function to simulate one million dice throws.
def one_million_dice():
return randint(low=1, high=7, size=1000000)
%%time
throws = one_million_dice()
mean = np.mean(throws)
错误:
---------------------------------------------------------------------------
SyntaxError Traceback (most recent call last)
File C:\Users\****\Anaconda3\envs\jupyterlab-debugger\lib\ast.py, in parse:
Line 35: return compile(source, filename, mode, PyCF_ONLY_AST)
SyntaxError: invalid syntax (<string>, line 1)
---------------------------------------------------------------------------
如何解决?
魔法函数应该放在一个单元格中。 尝试:
import numpy as np
from numpy.random import randint
#A function to simulate one million dice throws.
def one_million_dice():
return randint(low=1, high=7, size=1000000)
移至下一个单元格
%%time
throws = one_million_dice()
mean = np.mean(throws)
>>Wall time: 40.9 ms