我的系统是ubuntu15.0464bit。 我的python版本:
**:~$ python
Python 2.7.11 |Anaconda custom (64-bit)| (default, Dec 6 2015, 18:08:32)
[GCC 4.4.7 20120313 (Red Hat 4.4.7-1)] on linux2
我的ipython版本:
^{pr2}$我用过conda install matplotlib
,conda install numpy
,和{
# packages in environment at /home/hust/anaconda2:
numpy 1.10.4 py27_1
matplotlib 1.5.1 np110py27_0
scipy 0.17.0 np110py27_3
在ipython
In[1] %matplotlib
Using matplotlib backend: Qt4Agg
In[2] from pylab import*
没关系。在
为了在jupyter笔记本中新建一个python2
,我使用了Kernels for Python 2中的命令
conda create -n ipykernel_py2 python=2 ipykernel
source activate ipykernel_py2
python -m ipykernel install --user
现在通过在终端中输入jupyter notebook
,并输入新的python2
。我尝试使用%matplotlib
In[1]: %matplotlib
ImportError Traceback (most recent call last)
<ipython-input-2-f64cd8484500> in <module>()
----> 1 get_ipython().magic(u'matplotlib')
/home/hust/.local/lib/python2.7/site-packages/IPython /core/interactiveshell.pyc in magic(self, arg_s)
2161 magic_name, _, magic_arg_s = arg_s.partition(' ')
2162 magic_name = magic_name.lstrip(prefilter.ESC_MAGIC)
-> 2163 return self.run_line_magic(magic_name, magic_arg_s)
2164
2165 #-------------------------------------------------------------------------
/home/hust/.local/lib/python2.7/site-packages/IPython/core/interactiveshell.pyc in run_line_magic(self, magic_name, line)
2082 kwargs['local_ns'] = sys._getframe(stack_depth).f_locals
2083 with self.builtin_trap:
-> 2084 result = fn(*args,**kwargs)
2085 return result
2086
<decorator-gen-106> in matplotlib(self, line)
/home/hust/.local/lib/python2.7/site-packages/IPython/core/magic.pyc in <lambda>(f, *a, **k)
191 # but it's overkill for just that one bit of state.
192 def magic_deco(arg):
--> 193 call = lambda f, *a, **k: f(*a, **k)
194
195 if callable(arg):
/home/hust/.local/lib/python2.7/site-packages/IPython/core/magics/pylab.pyc in matplotlib(self, line)
98 print("Available matplotlib backends: %s" % backends_list)
99 else:
--> 100 gui, backend = self.shell.enable_matplotlib(args.gui)
101 self._show_matplotlib_backend(args.gui, backend)
102
/home/hust/.local/lib/python2.7/site-packages/IPython/core/interactiveshell.pyc in enable_matplotlib(self, gui)
2937 """
2938 from IPython.core import pylabtools as pt
-> 2939 gui, backend = pt.find_gui_and_backend(gui, self.pylab_gui_select)
2940
2941 if gui != 'inline':
/home/hust/.local/lib/python2.7/site-packages/IPython/core/pylabtools.pyc in find_gui_and_backend(gui, gui_select)
258 """
259
--> 260 import matplotlib
261
262 if gui and gui != 'auto':
ImportError: No module named matplotlib
结果是错的。在
我确实在conda环境中安装了matplotlib
、scipy
和{
我发现了问题。在
终端内:
但在jupyter笔记本里系统路径是:
^{pr2}$然后我记得我使用了以下代码来创建python2内核。在
在website的描述中,如果您在Python3上运行Jupyter,那么您可以像这样设置一个Python2内核。但实际上我在python2上运行Jupyter,我不能在Jupyter笔记本中新建python2脚本的原因应该是其他原因。在
最后,我意识到最好通过pyenv来掌握Python的所有环境。我应该首先安装pyenv,然后只需要使用这些命令,}。在
pyenv install anaconda-2.4.0
,pyenv global anaconda-2.4.0
和{相关问题 更多 >
编程相关推荐