Issue
When I run the following code in PyCharm on a 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()
There were some errors:
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
I'm new in Chainer and DQN. Could anyone help me edit this code to make it work? Thank you so much!
Solution
It seems like you're trying to run plotly interactive functions (i
prefix) in a normal Python code (i.e. not IPython Notebook). iplot
provides an interactive graph with which you can play inside the notebook.
I'd start with removing iplot
import and replacing it with normal plot
. Also, remove iplot_mpl
and init_notebook_mode
from your imports.
Answered By - Lukasz Tracewski
0 comments:
Post a Comment
Note: Only a member of this blog may post a comment.