I have a Jupyter Notebook setup using AWS EMR which runs the notebook on the master node using docker containers.
There are 3 kernels available: (pyspark, python 3, spark)
kernels screenshot
Some simple code for testing the encoding issues below:
using kernel pyspark
%%pretty
import pyspark.sql.functions as F
print("哈哈")
Output is: ??
using kernel python 3:
%matplotlib inline
from matplotlib import pyplot as plt
print("哈哈")
Ouptut is: 哈哈
Anyone has any idea what could be going wrong here?
Related
Exploring Livelossplot (https://github.com/stared/livelossplot) for plotting loss and accuracy for train and val in PyTorch. Plotted.
Wanted an interactive (able to zoom in) plot. They have a Bokeh enable facility (https://github.com/stared/livelossplot/blob/master/examples/bokeh.ipynb). Tried. Not working for me!
Interface: Conda -> Jupyter notebook
OS: Linux
Browser: FireFox
Library: PyTorch
Suggest (1 or more):
Is there a way to resolve the issue?
Is there an alternative to making this livelossplot interactive?
Is there an easy alternative to livelossplot?
The kernel crashes when I run a simple code using pytorch (even though it's not used here).
import numpy as np
import matplotlib.pyplot as plt
import torch
x=np.arange(0,10,0.1)
plt.plot(x,np.sin(x))
plt.show()
When I run this code on Jupyter, it shows the kernel is dead. When I run it on Visual Code, it shows:
Canceled future for execute_request message before replies were done
The Kernel crashed while executing code in the the current cell or a previous cell. Please review the code in the cell(s) to identify a possible cause of the failure. Click here for more info. View Jupyter log for further details.
How to resolve this issue. The torch package is supposed to be used later.
This problem has been solved by updating the numpy and matplotlib packages. These packages were installed just one year ago, though.
from skimage import io
I'm trying to import but jupyter notebook dies
the kernel appears to have died. it will restart automatically.
try google colab instead, I had same issue and it got resolved with google colab.
When I try to run code using keras and numpy or keras and Matplotlib in one Jupyter notebook I always get the message: The kernel appears to have died. It will restart automatically.
When I run the code in two different notebooks it works perfectly fine. I have installed it using anaconda and I am using macOS. I would really appreciate an answer, everything else I've found and tried so far did not work. Thank you!
I just start to learn OpenCV in Python and mainly use jupyter notebook. The sample I learnt comes from course https://pythonprogramming.net/loading-images-python-opencv-tutorial/
I load an image using cv2.imread() and want to show it up using cv2.imshow(). The image was shown successfully but the program keeps running and can't be interrupted.
May I know why?
Please check following codes:
import cv2
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
img=cv2.imread('sample1.jpg',cv2.IMREAD_GRAYSCALE)
cv2.imshow('image',img)
cv2.waitKey(0)
cv2.destroyAllWindows() # This part of code keeps running.