I am doing the "Final Exam and survey section" of Data Science course. I need to draw Histograms, Box plots and Scatter Plots to answer the questions but the Jupyter notebook is removed from the AzureML studio (classic). How can I complete the
course? I appreciate your help and guidance.
I had been particularly looking for a good answer for the scenario where one thread is pumping data and we want Jupyter notebook to keep updating graph without blocking anything. After looking through about dozen or so related answers, here are some of
the findings:
Caution
Do not use below magic if you want a live graph. The graph update does not work if the notebook uses below:
%load_ext autoreload
%autoreload 2
You need below magic in your notebook before you import matplotlib:
%matplotlib notebook
Method 1: Using FuncAnimation
This has a disadvantage that graph update occurs even if your data hasn't been updated yet. Below example shows another thread updating data while Jupyter notebook updating graph through FuncAnimation.
%matplotlib notebook
from matplotlib import pyplot as plt
from matplotlib.animation import FuncAnimation
from random import randrange
from threading import Thread
import time
def thread_f(self):
x = 0
while True:
self.x_data.append(x)
x += 1
self.y_data.append(randrange(0, 100))
time.sleep(1)
g = LiveGraph()
g.show()
Method 2: Direct Update
The second method is to update the graph as data arrives from another thread. This is risky because matplotlib is not thread safe but it does seem to work as long as there is only one thread doing updates.
%matplotlib notebook
from matplotlib import pyplot as plt
from matplotlib.animation import FuncAnimation
from random import randrange
from threading import Thread
import time