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In Jupyter Notebook versions earlier than 5.0, the %matplotlib inline command ensures that Matplotlib plots are displayed inline within the notebook, directly below the code cell that produced it. However, you do not need to call plt.show () to display the plots when using %matplotlib inline1.
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58. You can switch the matplotlib's backend by %matplotlib <backend>. To switch back to your system's default backend use %matplotlib auto or just simply %matplotlib. There are many backends available such as gtk, qt, notebook, etc. I personally highly recommend the notebook (a.k.a. nbagg) backend. It is similar to inline but interactive ...
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If you are using the inline matplotlib backend in the IPython Notebook. you can set which figure formats are enabled using the following:: In [1]: from IPython.display import set_matplotlib_formats. In [2]: set_matplotlib_formats('pdf', 'svg') The default for inline figures sets `bbox_inches` to 'tight'. This can.
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Note that in current versions of JupyterLab and Jupyter Notebook, the explicit use of the %matplotlib inline directive is not needed anymore, though other third-party clients may still require it.. This will produce a figure immediately below: % matplotlib inline import matplotlib. pyplot as plt import numpy as np x = np. linspace (0, 3 * np. pi, 500) plt. plot (x, np. sin (x ** 2)) plt. title ...
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