As the title says.
In an article related to deep learning using Python, I sometimes feel lonely when I run the sample code at hand and the image is not displayed.
From experience, I remember or forgot that it would appear if I added plt.show (). .. ..
** Is it a difference in module version? ?? ?? Some people think that **.
I did some research, so I'll share the information.
I think there are many good articles already, but I've narrowed it down to plt.show ().
The following answer was given in the following article. (Source: https://stackoverflow.com/questions/54422714/when-is-plt-show-required-to-show-a-plot-and-when-is-it-not)
To require or not required depending on where your script is.
There are 2 contexts.(
Matplotlib is used in a terminal or scripts, plt.show() is a must.
Matplotlib is used in a IPython shell or a notebook (ex: Kaggle), plt.show() is unnecessary.
Did you bother to quote this article because the cause is "only" related to ** jupyter notebook **? I thought, but ** I realized that it could be in another environment. ** **
The following article
https://docs.pyq.jp/python/pydata/jupyter/matplotlib.html
Excerpt and quote
(Citation) ** Jupyter Notebook outputs the object evaluated at the end of the cell. ** **
It seems.
** It seems that the evaluated object is output at the end of the cell **. So that's it. Then you don't have to bother to show.
Nothing in particular. If you have any comments, please let us know. : candy: (I used single quotes for the first time in the article.)