ImportError: `iplot` can only run inside an IPython Notebook

Question

当我运行下面的代码在PyCharm上了Mac：

import numpy as np 
import pandas as pd 

from subprocess import check_output
print(check_output(["ls", "../input"]).decode("utf8"))


import time
import copy
import numpy as np
import pandas as pd
import chainer
import chainer.functions as F
import chainer.links as L
from plotly import tools
from plotly.graph_objs import *
from plotly.offline import init_notebook_mode, iplot, iplot_mpl
init_notebook_mode()
data = pd.read_csv('../input/Data/Stocks/goog.us.txt')
data['Date'] = pd.to_datetime(data['Date'])
data = data.set_index('Date')
print(data.index.min(), data.index.max())
data.head()

有一些错误：

UserWarning: Accelerate has been detected as a NumPy backend library.
vecLib, which is a part of Accelerate, is known not to work correctly with Chainer.
We recommend using other BLAS libraries such as OpenBLAS.
For details of the issue, please see
https://docs.chainer.org/en/stable/tips.html#mnist-example-does-not-converge-in-cpu-mode-on-mac-os-x.

Please be aware that Mac OS X is not an officially supported OS.

  ''')  # NOQA
Traceback (most recent call last):
  File "/Users/yindeyong/Desktop/PythonProjects/pythonstock/DQNStcok.py", line 33, in <module>
    init_notebook_mode()
  File "/Users/yindeyong/Desktop/PythonProjects/envs/stockenv/lib/python3.6/site-packages/plotly/offline/offline.py", line 250, in init_notebook_mode
    raise ImportError('`iplot` can only run inside an IPython Notebook.')
ImportError: `iplot` can only run inside an IPython Notebook.

Process finished with exit code 1

我是 Chainer 和 DQN 的新手。任何人都可以帮助我编辑此代码以使其工作吗？非常感谢！

Answer 1

您似乎在尝试运行在普通 Python 代码（即不是 IPython Notebook）中绘制交互式函数（i 前缀）。 iplot 提供了一个交互式图形，您可以在笔记本中使用它。

我会先删除 iplot 导入并将其替换为正常的 plot。此外，从导入中删除 iplot_mpl 和 init_notebook_mode。

Answer 2

您可以在虚拟环境中安装 'ipython'，然后直接从终端尝试运行。

激活虚拟环境
pip3 安装ipython
python3 prog.py

在我的案例中有效。

ImportError: `iplot` can only run inside an IPython Notebook

ImportError: `iplot` can only run inside an IPython Notebook

python

ipython

pycharm

chainer