如何在numpy中设置最大输出宽度?

问题描述

我正在使用Jupyter笔记本.我有一个相当宽的屏幕，但是显示的输出(例如，当我打印numpy数组时)的格式设置得好像屏幕很窄.

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.

我找到了一种增加细胞宽度的方法，

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>")

但这似乎只影响输入，而不影响输出(请参见屏幕截图):

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

我尝试在numpy.set_printoptions中设置linewidth选项，我尝试设置numpy.core.arrayprint._line_width，什么都没有...

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

使用matplotlib可以使用命令plt.rcParams['figure.figsize']=[X,Y]设置绘图的宽度(使用魔术%matplotlib inline在笔记本中绘图).事实证明，我可以增加X来使图一直水平地填充输出单元格.这意味着(我认为)原来的问题是numpy问题.

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.

推荐答案

这已经一岁了，但也许答案会对其他人有所帮助.

This is a year old now but maybe the answer will help someone else.

numpy-arrays的显示方式取决于许多因素.使用此代码，您可以显示更多项目并使用屏幕的整个宽度:

The way numpy-arrays are displayed depends on a number of things.With this code, you can show more items and use the full width of your screen:

这是默认设置

import numpy as np
np.set_printoptions(edgeitems=3)
np.core.arrayprint._line_width = 80

>>> array([[[0, 0, 0, ..., 0, 0, 0],
>>>    [0, 0, 0, ..., 0, 0, 0],
>>>    [0, 0, 0, ..., 0, 0, 0],
>>>    ...,

使用以下代码，您可以增加每个数组边缘(开始和结束)以及行宽处显示的项目:

With the following code you increase the items shown at the edge of each array (start and end) as well as the line width:

import numpy as np
np.set_printoptions(edgeitems=10)
np.core.arrayprint._line_width = 180

>>> array([[[  0,   0,   0,   0,   0,   0,   0,   0,   0,   0, ...,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0],
>>>         [  0,   0,   0,   0,   0,   0,   0,   0,   0,   0, ...,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0],
>>>         [  0,   0,   0,   0,   0,   0,   0,   0,   0,   0, ...,   0,   0,   0,   0,   0,   0,   0,   0,   0,   0],

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