jupyter-notebook

问题 I am running jupyterlab within jupyterhub on kubernetes. I am trying to display widgets using e.g. from ipywidgets import interact @interact(x=(0, 100, 10)) def p(x=50): pass Instead of the intended interactive widget, the lab notebook prints: interactive(children=(IntSlider(value=50, description='x', step=10), Output()), _dom_classes=('widget-interact... On inspection of the javascript console: default.js:129 Error: Object 'jupyter.widget' not found in registry at default.js:1474 at new

问题 I got a question in order to better understand a big data concept within Apache Hadoop Spark. Not sure if it's off-topic in this forum, but let me know. Imagine a Apache Hadoop cluster with 8 servers managed by the Yarn resource manager. I uploaded a file into HDFS (file system) that is configured with 64MB blocksize and a replication count of 3. That file is then split into blocks of 64MB. Now let's imagine the blocks are distributed by HDFS onto node 1, 2 and 3. But now I'm coding some

问题 I am trying to get output from my ipywidgets widgets in Microsoft Azure Notebooks running Jupyter Notebooks in Python 3.6. However, it does not return new values when I get them. This also applies to the event handlers/interact never being called for other widgets. I have tried putting in different initial values, using different types of widgets ( Text , Textarea , Checkbox , Button , ToggleButton ). I have tried getting the w.value , ipywidgets.interact , w.observe , and w.on_click on

问题 I am using python3.6 My jupyter notebook is crashing again and again when I try to run NUTS sampling in pymc3. My laptop has 16gb and i7 I think it should be enough. I ran same code on 8gb and i7 laptop and it worked that time. Not able to fig out what the issue is in this one. I have generated the config file for jupyter with this command $ jupyter notebook --generate-config I am not able to fig out which parameter I need to modify to tackle this issue. This is code I am using with pm.Model(

问题 I have a M x N 2D array: ith row represents that value of N points at time i. I want to visualize the points [1 row of the array] in the form of a graph where the values get updated after a small interval. Thus the graph shows 1 row at a time, then update the values to next row, so on and so forth. I want to do this in a jupyter notebook. Looking for reference codes. I tried following things but no success: http://community.plot.ly/t/updating-graph-with-new-data-every-100-ms-or-so/812 https:/

问题 I have a M x N 2D array: ith row represents that value of N points at time i. I want to visualize the points [1 row of the array] in the form of a graph where the values get updated after a small interval. Thus the graph shows 1 row at a time, then update the values to next row, so on and so forth. I want to do this in a jupyter notebook. Looking for reference codes. I tried following things but no success: http://community.plot.ly/t/updating-graph-with-new-data-every-100-ms-or-so/812 https:/

问题 Create a grid of 3D Subplots using mplot3d Polycollection (or another mplot3d library) Here is a simple mplot3d example (you can see here: https://matplotlib.org/2.0.2/examples/mplot3d/polys3d_demo.html) : from mpl_toolkits.mplot3d import Axes3D from matplotlib.collections import PolyCollection import matplotlib.pyplot as plt from matplotlib import colors as mcolors import numpy as np fig = plt.figure() ax = fig.gca(projection='3d') xs = np.arange(0, 10, 0.4) verts = [] zs = [0.0, 1.0, 2.0, 3

问题 Create a grid of 3D Subplots using mplot3d Polycollection (or another mplot3d library) Here is a simple mplot3d example (you can see here: https://matplotlib.org/2.0.2/examples/mplot3d/polys3d_demo.html) : from mpl_toolkits.mplot3d import Axes3D from matplotlib.collections import PolyCollection import matplotlib.pyplot as plt from matplotlib import colors as mcolors import numpy as np fig = plt.figure() ax = fig.gca(projection='3d') xs = np.arange(0, 10, 0.4) verts = [] zs = [0.0, 1.0, 2.0, 3

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