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    <p>Of course, you can change the print threshold of the array as <a href="https://stackoverflow.com/q/1987694/1730674">answered elsewhere</a> with:</p> <pre><code>np.set_printoptions(threshold=np.nan) </code></pre> <p>But depending on what you're trying to look at, there's probably a better way to do that. For example, if your array truly is mostly zeros as you've shown, and you want to check whether it has values that are nonzero, you might look at things like:</p> <pre><code>import numpy as np import matplotlib.pyplot as plt In [1]: a = np.zeros((100,100)) In [2]: a Out[2]: 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.]]) </code></pre> <p>Change some values:</p> <pre><code>In [3]: a[4:19,5:20] = 1 </code></pre> <p>And it still looks the same:</p> <pre><code>In [4]: a Out[4]: 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.]]) </code></pre> <p>Check some things that don't require manually looking at all values:</p> <pre><code>In [5]: a.sum() Out[5]: 225.0 In [6]: a.mean() Out[6]: 0.022499999999999999 </code></pre> <p>Or plot it:</p> <pre><code>In [7]: plt.imshow(a) Out[7]: &lt;matplotlib.image.AxesImage at 0x1043d4b50&gt; </code></pre> <p>Or save to a file:</p> <pre><code>In [11]: np.savetxt('file.txt', a) </code></pre> <p><img src="https://i.stack.imgur.com/VtzFS.png" alt="array"></p>
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    1. POPrinting FULL contents of numpy array
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    1. COAwesome, the np.savetxt command will definitely come in handy. Thank you.I tried using .write but it ended up just saving the truncated version shown above.
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    2. COYou're welcome @user2275931, and Welcome to [SO]! If this answers your question, you can click the checkmark by it to 'accept' the answer.
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    3. CO@user2275931 Great, also note that [`np.savetxt`](http://docs.scipy.org/doc/numpy/reference/generated/numpy.savetxt.html) takes all sorts of formatting options as well.
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