防止情节显示在 jupyter notebook 中

Question

How can I prevent a specific plot to be shown in Jupyter notebook? I have several plots in a notebook but I want a subset of them to be saved to a file and not shown on the notebook as this slows considerably.

A minimal working example for a Jupyter notebook is:

%matplotlib inline 
from numpy.random import randn
from matplotlib.pyplot import plot, figure
a=randn(3)
b=randn(3)
for i in range(10):
    fig=figure()
    plot(b)
    fname='s%03d.png'%i
    fig.savefig(fname)
    if(i%5==0):
        figure()
        plot(a)

As you can see I have two types of plots, a and b. I want a's to be plotted and shown and I don't want the b plots to be shown, I just want them them to be saved in a file. Hopefully this will speed things a bit and won't pollute my notebook with figures I don't need to see.

Thank you for your time

Answer 1

Perhaps just clear the axis, for example:

fig= plt.figure()
plt.plot(range(10))
fig.savefig("save_file_name.pdf")
plt.close()

will not plot the output in inline mode. I can't work out if is really clearing the data though.

Answer 2

I was able to prevent my figures from displaying by turning interactive mode off using the function

plt.ioff()

Answer 3

To prevent any output from a jupyter notebook cell you may start the cell with

%%capture

This might be usefull in cases all other methods shown here fail.

Answer 4

From IPython 6.0 on, there is another option to turn the inline output off (temporarily or persistently). This has been introduced in this pull request .

You would use the "agg" backend to not show any inline output.

%matplotlib agg

It seems though that if you had activated the inline backend first, this needs to be called twice to take effect.

%matplotlib agg
%matplotlib agg

Here is how it would look in action

Answer 5

I'm a beginner though,off the inline mode when you don't want to see the output in your notebook by:

%matplotlib auto

or:

%matplotlib

to use it back:

%matplotlib inline

more better solution would be to use:

plt.ioff()

which says inline mode off.

hope it helps.

Answer 6

On Jupyter 6.0, I use the following snippet to selectively not display the matplot lib figures.

import matplotlib as mpl

...

backend_ =  mpl.get_backend() 
mpl.use("Agg")  # Prevent showing stuff

# Your code

mpl.use(backend_) # Reset backend

Answer 7

Building off @importanceofbeingernest's answer, one may call some function in a loop, and at each iteration, want to render a plot. However, between the each plot, you may want to render additional stuff.

Concretely:

1. Iterate a list of IDs
2. Call a function so a plot is rendered for each "ID"
3. Between each plot, render some markdown

---

# <cell begins>
def render(id):
   fig, axes = plt.subplots(2, 1)
   plt.suptitle(f'Metrics for {id}')

   df.ColA.plot.bar(ax=axes[0])
   df.ColB.plot.bar(ax=axes[1])

   return fig

# <cell ends>

# -------------------------------------

# <cell begins>
%matplotlib agg

for id in df.ID.value_counts().index:
   fig = render(id)

   display(fig)
   display(Markdown('---'))

# <cell ends>