python - How to set max output width in numpy?

Question

I am using a Jupyter notebook. I have a pretty wide screen, but the displayed output (say, when I print a numpy array) is formatted as if the screen was narrow.

I found a way of increasing the width of the cells, with

from IPython.core.display import HTML
HTML("<style>.container { width:95% !important; }</style>")

but this seems to influence the input only, not the output (see screenshots):

I've tried setting the linewidth option in numpy.set_printoptions, I've tried setting numpy.core.arrayprint._line_width, nothing...

EDIT: Using matplotlib I can set the width of plots (that I plot in the notebook with the magic %matplotlib inline) with the command plt.rcParams['figure.figsize']=[X,Y]. It turns out that I can increase X to have plots fill the output cell horizontally all the way. This means (I think) that the original problem it's a numpy thing.

question from:https://stackoverflow.com/questions/37149933/how-to-set-max-output-width-in-numpy

Answer 1

I found this answer helpful in creating my own:

import numpy as np
np.set_printoptions(edgeitems=30, linewidth=100000, 
    formatter=dict(float=lambda x: "%.3g" % x))

The absurd linewidth means only edgeitems and the window's width will determine when newlines/wrapping occurs.

If I shrink the window a bit, it looks like this, so you may still need to play with the edgeitems or formatting:

Here are the docs for set_printoptions, of which the following are relevant:

• edgeitems : Number of array items in summary at beginning and end of each dimension (default 3).

• linewidth : The number of characters per line for the purpose of inserting line breaks (default 75).