Question about Why I need to restart kernel everytime

JupyterLab
1

Hi~

I’m a beginner in programming world, and sorry for not reading enough posts and ask question directly. I often use jupyter lab and use simple functions to plot formal engineering diagram and that’s all.
My question is :
I usually import some library in the first row, import data in the second row and the plotting code in another row.
Whenever I modified the plotting code, I can’t just compile the plotting code and get the new plot. However, I need to restart kernel, and re-compile all the import codes and plotting codes and then can get new plot.
This issue drives me crazy, can someone help me with that? Please!!

2

it’d surely be helpful to see a code example which has the mentioned characteristics, cause restarting the kernel should not be necessary.

1 Like
3

Sure. Thanks for your feedback. I just post the code as follows

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib as mpl
import scienceplots

filename1 =“xxxx.csv”
filename2 =“xxxxx.csv”
df1 = pd.read_csv(filename1,comment=“!”)
df2 = pd.read_csv(filename2,comment=“!”)

y = [-10, 30]
with plt.style.context([‘science’, ‘ieee’,‘no-latex’,‘grid’]):
fig, ax = plt.subplots()
x=df1.freq
y1=df1.Gmax
y2=df1.Gumx
y3=df2.Gmax
y4=df2.Gumx
ax.set_xlabel(‘Frequency(GHz)’, fontsize=12)
ax.set_ylabel(‘Gmax/U(dB)’, fontsize=12)
ax.plot(x, y1, ‘-’, color = ‘blue’ ,label=“A”,linewidth=1)
ax.plot(x, y2, ‘-’, color = ‘red’ ,label=“B”,linewidth=1)
ax.plot(x, y3, ‘–’, color = ‘blue’ ,label=“C”,linewidth=1)
ax.plot(x, y4, ‘–’, color = ‘red’ ,label=“D”,linewidth=1)
ax.set_xlim(10,1000)
ax.set_xscale(‘log’)
ax.set_ylim(-10,30)
ax.legend(loc=3, prop={‘size’: 6})
plt.xticks(fontsize=10)
plt.yticks(np.arange(min(y), max(y)+1, 10), fontsize=10)
fig.savefig(‘ABCD.png’,bbox_inches=‘tight’)

4

i cannot reproduce this. please use markdown to correctly format your code. might be a longshot but have you tried to use plt.show() in the end?

1 Like
5

Hi~

Well, adding plt.show() in the end solves my problem!!!
Thanks for your feedback.

3 Likes