jupyter-notebook

问题 I am trying to scrape this website into a .CSV and I am getting an error that says: AssertionError: 9 columns passed, passed data had 30 columns . My code is below, it is a little messy because I exported from Jupyter Notebook. from urllib.request import Request, urlopen from bs4 import BeautifulSoup as soup import pandas as pd url = 'https://apps.azsos.gov/apps/election/cfs/search/CandidateSearch.aspx' req = Request(url , headers={'User-Agent': 'Mozilla/5.0'}) html = urlopen(req).read() soup

问题 I am trying to scrape this website into a .CSV and I am getting an error that says: AssertionError: 9 columns passed, passed data had 30 columns . My code is below, it is a little messy because I exported from Jupyter Notebook. from urllib.request import Request, urlopen from bs4 import BeautifulSoup as soup import pandas as pd url = 'https://apps.azsos.gov/apps/election/cfs/search/CandidateSearch.aspx' req = Request(url , headers={'User-Agent': 'Mozilla/5.0'}) html = urlopen(req).read() soup

问题 I'm trying to use liner_profiler library in jupyter notebook with cython function. It is working only halfway. The result I get only consist of first row of the function and no profiling results. %%cython -a # cython: linetrace=True # cython: binding=True # distutils: define_macros=CYTHON_TRACE_NOGIL=1 import numpy as np cimport numpy as np from datetime import datetime import math cpdef np.int64_t get_days(np.int64_t year, np.int64_t month): cdef np.ndarray months=np.array([31,28,31,30,31,30

问题 I have been using PaperMill for executing my python notebook periodically. To execute compute intensive notebook, I need to connect to remote kernel running in my EMR cluster. In case of Jupyter notebook I can do that by starting jupyter server with jupyter notebook --gateway-url=http://my-gateway-server:8888 and I am able to execute my code on remote kernel. But how do I let my local python code(through PaperMill) to use remote kernel? What changes do what to make in Kernel Manager to

问题 I have been using PaperMill for executing my python notebook periodically. To execute compute intensive notebook, I need to connect to remote kernel running in my EMR cluster. In case of Jupyter notebook I can do that by starting jupyter server with jupyter notebook --gateway-url=http://my-gateway-server:8888 and I am able to execute my code on remote kernel. But how do I let my local python code(through PaperMill) to use remote kernel? What changes do what to make in Kernel Manager to

问题 I have been using PaperMill for executing my python notebook periodically. To execute compute intensive notebook, I need to connect to remote kernel running in my EMR cluster. In case of Jupyter notebook I can do that by starting jupyter server with jupyter notebook --gateway-url=http://my-gateway-server:8888 and I am able to execute my code on remote kernel. But how do I let my local python code(through PaperMill) to use remote kernel? What changes do what to make in Kernel Manager to

问题 md $S$: a set of shops $I$: a set of items M wants to get I'd like to make a new line between this two sentences. We usually put " (space)" after the first sentence before a new line, but it doesn't work in Jupyter. How can I do this? Should I put "enter" twice after the first sentence? 回答1: Just add <br> where you would like to make the new line. $S$: a set of shops <br> $I$: a set of items M wants to get Because jupyter notebook markdown cell is a superset of HTML. http://jupyter-notebook

问题 I am having a problem importing modules in my iPython/Jupyter notebook. The problem fundamentally lies in where the sys.path is pointing to. From the iPython/Jupyter notebook, sys.executable returns: '/usr/bin/python' However, from the command line, it returns: '//anaconda/bin/python' I have tried un-installing and re-installing anacondas, but the problem still remains. I have also tried augmenting $PYTHONPATH in my bash_profile to include //anaconda/bin/python, but this doesn't resolve it.

问题 I am having a problem importing modules in my iPython/Jupyter notebook. The problem fundamentally lies in where the sys.path is pointing to. From the iPython/Jupyter notebook, sys.executable returns: '/usr/bin/python' However, from the command line, it returns: '//anaconda/bin/python' I have tried un-installing and re-installing anacondas, but the problem still remains. I have also tried augmenting $PYTHONPATH in my bash_profile to include //anaconda/bin/python, but this doesn't resolve it.

问题 I installed Anaconda3 having Python 3.7.3 on Windows 10. When I launch Jupyter Notebook from Anaconda3 Navigator using environment: base(root), it shows kernel error and Python 3 (which is default kernel) as dead kernel. The kernel error is: Traceback (most recent call last): File "C:\Users\Admin\AppData\Roaming\Python\Python37\site-packages\tornado\web.py", line 1699, in _execute result = await result File "C:\Users\Admin\AppData\Roaming\Python\Python37\site-packages\tornado\gen.py", line