jupyter

问题 When i am using the magic %matplotlib notebook it shows the follwing warning: Warning: Cannot change to a different GUI toolkit: notebook. Using gtk3 instead. What is the reason for this warning and how to get rid of it. 来源： https://stackoverflow.com/questions/61625435/matplotlib-magic-in-jupyter-notebook

问题 Over the weekend I had some long processes running in a Jupyter notebook, but the browser window was closed at some point. According to this answer, the process shouldn't have been canceled, but whatever output I would have gotten would be lost. This is okay, as I only need access to the resulting objects from the process. My goal is to connect to the running kernel in the console, and work from there. According to Jupyter's documentation, I should be able to do this with jupyter console -

问题 I am new to PySpark and EMR. I am trying to access Spark running on EMR cluster through Jupyter notebook, but running into errors. I am generating SparkSession using following code: spark = SparkSession.builder \ .master("local[*]")\ .appName("Carbon - SingleWell parallelization on Spark")\ .getOrCreate() Tried following to access Remote cluster, but it errored out: spark = SparkSession.builder \ .master("spark://<remote-emr-ec2-hostname>:7077")\ .appName("Carbon - SingleWell parallelization

问题 I am running into a display problem in Jupyter (both Classic and JupyterLab) for lists that include Arabic string elements and Latin Alphanumeric string elements. For example, if you run: en = '7X' print (en) ar = 'عربي' print (ar) print ([en, ar]) print ([ar, en]) Here is what you get: Obviously, where Arabic is the first element, Jupyter follows an RTL alignment displaying the ar element first on the right, but I don't know why the 'X' jumps from the alphanumeric element or how to fix that.

问题 I've configured jupyter to be used from a remote computer and set a password to it while initial anaconda setup. Then after fixing this issue, I am trapped in another one. sys.path and sys.executable is incorrect in jupyter , but correct in python and ipython . Please see the details below. Anaconda3 is installed for all users in /opt/anaconda3 and I am using an environment zud for my programs. Background Once the above-mentioned problem is fixed, I tried to import igraph in jupyter but it

问题 I followed this blog here and here's the code that I'm trying to run on my Jupyter Notebook - essentially a simple scatter plot from the iris dataset. from IPython.core.display import display, HTML from string import Template import pandas as pd import json, random HTML('<script src="./d3.min.js"></script>') filename = 'https://gist.githubusercontent.com/mbostock/3887118/raw/2e68ffbeb23fe4dadd9b0f6bca62e9def6ee9e17/data.tsv' iris = pd.read_csv(filename,sep="\t") iris_array_of_dicts = iris.to

问题 I have a question on how to programmatically clear\clean the output from all the Cells in my Jupyter notebook after notebook is done loading (when Kernel is ready), and prior to the user, myself, manually executing code. Basically, I would like the notebook to look clean when it is done loading, and I would like to do it automatically. How can I impose a command like clear_output() from a single initialization cell on to all other cells in the notebook? Thank you. 回答1: For a trusted notebook

问题 I have a question on how to programmatically clear\clean the output from all the Cells in my Jupyter notebook after notebook is done loading (when Kernel is ready), and prior to the user, myself, manually executing code. Basically, I would like the notebook to look clean when it is done loading, and I would like to do it automatically. How can I impose a command like clear_output() from a single initialization cell on to all other cells in the notebook? Thank you. 回答1: For a trusted notebook

问题 Is there any plotting option in Python (IPython-Jupyter notebook) which accepts generators ? AFAIK matplotlib doesn't support that. The only option I discovered is plot.ly with their Streaming API, but I would prefer not to use online solution due to big amount of data I need to plot in real-time. 回答1: A fixed length generator can always be converted to a list. vals_list = list(vals_generator) This should be appropriate input for matplotlib . Guessing from your updated information, it might

问题 I am trying to split a column with comma delimited values into 2 columns but the str.split function returns columns with 0's and 1's instead of the split string values I have a dataframe with a column 'Full Name' which has a full name with a comma separating last name from first name. I used the str.split function which works when I execute it for display only. But: when I try to use the same function to add 2 new columns to the same dataframe with the split data, I get 2 new columns with the