jupyter-notebook

问题 I am trying to filter Data, for Excel Files in Pandas. Based on the Column Value i.e. String Value. I Have tried the following to achieve what I want :- Latest Code shown Below as of 07/08/2019 In [13]: import pandas as pd xls = pd.ExcelFile(r'C:\Users\Edward\Desktop\BBMF Schedules And Master Forum Thread Texts\BBMF Display Schedule 2009.xls') data = pd.read_excel(xls, sheet_name="Sheet1") pd.options.display.max_rows = 1000 df = pd.DataFrame(data, columns= ['Venue','A/C','DISPLAY/','Date',

问题 I'm currently dealing with some issues with Jupyter Lab. Indeed, I was working on Jupyter Lab, everything was ok at this time, until I had to save my work and reboot. Then Jupyter stops working (either Jupyter Lab and the classic version Jupyter Notebook). I've tried to fix the problem by many solutions that I've found in other issues, listed below : tried to install the last version of Python (3.7) tried to uninstall Jupyter Lab and Notebook tried to remove my miniconda install from the home

问题 I'm trying to invoke the gsutil command from a cell in a Jupyter notebook, using the bash cell magic %%bash , as such: %%bash gsutil However I am receiving the following output: bash: line 1: gsutil: command not found On the other hand, using the exclamation mark syntax gives me the expected result: !gsutil Gives... Usage: gsutil [-D] [-DD] [-h header]... [-m] [-o] [-q] [command [opts...] args...] Available commands: acl Get, set, or change bucket and/or object ACLs cat Concatenate object

问题 I'm trying to run some code with a jupyter notebook, but from the beginning, I have issues. Indeed, it looks like I can't use these commands: parser.add_argument('--lr', default=0.1, type=float, help='learning rate') parser.add_argument('--resume', '-r', action='store_true', help='resume from checkpoint') usage: ipykernel_launcher.py [-h] [--lr LR] [--resume] and ipykernel_launcher.py gives error: unrecognized arguments: -f And: args = parser.parse_args() /Library/Frameworks/Python.framework

问题 I have installed anaconda and tensorflow library in Ubuntu .Suddenly it stopped working. When i try to open it i am getting this issue.I have already googled it but unable to get the solution. Please help me on this :/tmp$ jupyter notebook [I 12:41:24.704 NotebookApp] [nb_conda_kernels] enabled, 2 kernels found [I 12:41:24.712 NotebookApp] Writing notebook server cookie secret to /home/bhavani/.local/share/jupyter/runtime/notebook_cookie_secret Traceback (most recent call last): File "/home

问题 I was hoping some heavy Jupyter and bokeh users might have a workaround for this. So I have a bunch of bokeh plots in my Jupyter notebook and I want to export the notebook to pdf . In the Jupyter Notebook file menu there is an option to download a notebook as a pdf . Also--and my preferred route--is to use nbconvert. The problem is that the bokeh plots are not exported into the final pdf file. Bokeh does not export its plots to a format that is caught by Latex to compile the pdf. In constrast

问题 I want to use https://crontab.guru/ in my nbextension, how can I include this from cdn in nbextension? 回答1: According to https://requirejs.org/docs/api.html Specify your CDN in the config - requirejs.config({ paths: { cron: '//unpkg.com/cronstrue@latest/dist/cronstrue.min' } }); Do not append .js In your AMD module which defines load_ipython_extension, define cron as dependency- define(['cron'], function(cron){ function load_ipython_extension(){ console.log(cron.toSrting("* * * * *")); }

问题 I wrote a code in jupyter notebook using keras/tensorflow. The code worked well when I ran it on my laptop that runs tensorflow on cpu but when I run the same code on my home computer that runs tensorflow on gpu I receive the message "failed to create session." I would like to keep using gpu if possible. I will include my code and the error below along with the output from the terminal. Code (I excluded other parts of the code that loads/ manipulate data): from sklearn.model_selection import

问题 I'd like to create a ssh tunnel from my computer to a remote server to a docker container running Jupyter Notebook (computer>server>Docker container) that allows me to run a Jupyter Notebook in my browser on my computer. The Docker container is hosted on a machine running OS X (El Capitan). Docker is using the default machine IP: 192.168.99.100. $ docker-machine ls NAME ACTIVE DRIVER STATE URL SWARM DOCKER ERRORS default * virtualbox Running tcp://192.168.99.100:2376 v1.11.1 I am able to

问题 Since I guess importing google.cloud.storage might be a very first step to set API connecting the firebase storage, what I did first is to install google-cloud on Ubuntu like this: $ pip install --upgrade google-cloud and it told me: Successfully installed google-cloud Then I tried to import storage from google.could on Jupyter Notebook like: from google.cloud import storage but it gave me an error message, says: ModuleNotFoundError: No module named 'google' so I am wondering what are the