Use of show() function in Matplotlib library

Question

I am a beginner in Python and have a very basic question. In the matplot library we have show() function. I just want to know what is the benefit of using show() function.

For ex. if we have multiple statements such as

plt.scatter(XX,YY)
plt.plot(X,Y)
plt.show()     #3rd statement, is it necessary?

We can plot a scatter plot and can superimpose plot on it just by executing these two statements. Whether we write the 3rd statement i.e. plt.show() hardly matters. Does it matter? When do we use plt.show().

Please explain. Thank You.

I am afraid, it does not.

Navdeep
– Navdeep

2019-07-13 09:53:28 +00:00
Commented Jul 13, 2019 at 9:53 — Navdeep
– Navdeep, Commented Jul 13, 2019 at 9:53

Algopark · Accepted Answer · 2019-07-23 13:40:09Z

1

I'm afraid that i understand your question exactly.

'plt.show()' function do visualize your plot. And plt.scatter() and plt.plot() can't visualize its data independently. But you can do it, if you use jupyter-notebook with '%matplotlib inline' command. It helps to show plots without 'plt.show()' command.

answered Jul 23, 2019 at 13:40

Algopark

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3 Comments

Navdeep Over a year ago

I am able to visualize both plt.scatter() and plt.plot() without using plt.show() in Spyder. What is the use of plt.show() then?

Algopark Over a year ago

Spyder tool also helps you can see the graph without show() function.

Algopark Over a year ago

You can try the same python code at pure console (powershell or ubuntu bash) and you may see the difference.

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