blocks|key|1587194|text|只是|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1587195|'+'.join(a)|code-block|syntax|javascript|1587196|并将此输出写入一个文件。|1587197|entityMap^0|0|0|0^^$0|@$1|2|3|4|5|6|7|K|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|L|8|@]|9|@]|A|$E|F]]|$1|G|3|H|5|6|7|M|8|@]|9|@]|A|$]]|$1|I|3|-4|5|6|7|N|8|@]|9|@]|A|$]]]|J|$]]

just

<pre><code>' '.join(a)
</code></pre>

and write this output to a file.

blocks|key|1587199|text|import+numpy
a+=+numpy.array([1,2,3])

with+open(r'test.txt',+'w')+as+f:
++++f.write("+".join(map(str,+a)))|type|code-block|depth|inlineStyleRanges|entityRanges|data|syntax|javascript|1587200|unstyled|entityMap^0|0^^$0|@$1|2|3|4|5|6|7|G|8|@]|9|@]|A|$B|C]]|$1|D|3|-4|5|E|7|H|8|@]|9|@]|A|$]]]|F|$]]

<pre><code>import numpy
a = numpy.array([1,2,3])

with open(r'test.txt', 'w') as f:
 f.write(" ".join(map(str, a)))
</code></pre>

blocks|key|1587202|text|另一种方法是重塑数组的形状，使其具有维度(1,+N)，如下所示：|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|1587203|savetext(filename,+a.reshape(1,+a.shape[0]))|code-block|syntax|javascript|1587204|entityMap^0|K|6|0|0^^$0|@$1|2|3|4|5|6|7|M|8|@$9|N|A|O|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|P|8|@]|D|@]|E|$I|J]]|$1|K|3|-4|5|6|7|Q|8|@]|D|@]|E|$]]]|L|$]]

An alternative answer is to reshape the array so that it has dimensions <code>(1, N)</code> like so:

<pre><code>savetext(filename, a.reshape(1, a.shape[0]))
</code></pre>

blocks|key|1587206|text|我发现接受答案中的第一个解决方案对于仍然需要换行符的情况是有问题的。对这个问题最简单的解决方案是这样做：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1587207|numpy.savetxt(filename,+[a],+delimiter='\t')|code-block|syntax|javascript|1587208|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|I|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|J|8|@]|9|@]|A|$E|F]]|$1|G|3|-4|5|6|7|K|8|@]|9|@]|A|$]]]|H|$]]

I found that the first solution in the accepted answer to be problematic for cases where the newline character is still required. The easiest solution to the problem was doing this:

<pre><code>numpy.savetxt(filename, [a], delimiter='\t')
</code></pre>

blocks|key|1587212|text|import+numpy+as+np

a+=+[1,2,3]++++
b+=+np.array(a).reshape((1,3))++++
np.savetxt('a.txt',b,fmt='%25d')|type|code-block|depth|inlineStyleRanges|entityRanges|data|syntax|javascript|1587213|unstyled|entityMap^0|0^^$0|@$1|2|3|4|5|6|7|G|8|@]|9|@]|A|$B|C]]|$1|D|3|-4|5|E|7|H|8|@]|9|@]|A|$]]]|F|$]]

<pre><code>import numpy as np

a = [1,2,3] 
b = np.array(a).reshape((1,3)) 
np.savetxt('a.txt',b,fmt='%d')
</code></pre>

blocks|key|1801766|text|非常非常简单:+1,2,3|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1801767|列表就像一列。|1801768|1
2
3|code-block|syntax|javascript|1801769|如果你想要一个像行一样的列表，你可以使用两次corchete：|1801770|[[1,+2,+3]]++--->++++1,+2,+3|1801771|和|1801772|[[1,+2,+3],+[4,+5,+6]]++--->+1,+2,+3
+++++++++++++++++++++++++++++4,+5,+6|1801773|最后：|1801774|np.savetxt("file",+[['r1c1',+'r1c2'],+['r2c1',+'r2c2']],+delimiter=';',+fmt='%25s')|1801775|请注意，方括号之间的逗号，内部列表是外部列表的元素|1801776|entityMap^0|0|0|0|0|0|0|0|0|0|0^^$0|@$1|2|3|4|5|6|7|Y|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|Z|8|@]|9|@]|A|$]]|$1|D|3|E|5|F|7|10|8|@]|9|@]|A|$G|H]]|$1|I|3|J|5|6|7|11|8|@]|9|@]|A|$]]|$1|K|3|L|5|F|7|12|8|@]|9|@]|A|$G|H]]|$1|M|3|N|5|6|7|13|8|@]|9|@]|A|$]]|$1|O|3|P|5|F|7|14|8|@]|9|@]|A|$G|H]]|$1|Q|3|R|5|6|7|15|8|@]|9|@]|A|$]]|$1|S|3|T|5|F|7|16|8|@]|9|@]|A|$G|H]]|$1|U|3|V|5|6|7|17|8|@]|9|@]|A|$]]|$1|W|3|-4|5|6|7|18|8|@]|9|@]|A|$]]]|X|$]]

Very very easy:
[1,2,3]

A list is like a column. 

<pre><code>1
2
3
</code></pre>

If you want a list like a row, double corchete:

<pre><code>[[1, 2, 3]] ---&gt; 1, 2, 3
</code></pre>

and

<pre><code>[[1, 2, 3], [4, 5, 6]] ---&gt; 1, 2, 3
 4, 5, 6
</code></pre>

Finally:

<pre><code>np.savetxt("file", [['r1c1', 'r1c2'], ['r2c1', 'r2c2']], delimiter=';', fmt='%s')
</code></pre>

Note, the comma between square brackets, inner list are elements of the outer list

blocks|key|1587229|text|我知道这很老，但这些答案都没有解决numpy没有按行保存数组的根本问题。我发现这一行帮了我大忙：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1587230|b+=+np.matrix(a)
np.savetxt("file",+b)|code-block|syntax|javascript|1587231|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|I|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|J|8|@]|9|@]|A|$E|F]]|$1|G|3|-4|5|6|7|K|8|@]|9|@]|A|$]]]|H|$]]

I know this is old, but none of these answers solved the root problem of numpy not saving the array row-wise. I found that this one liner did the trick for me:

<pre><code>b = np.matrix(a)
np.savetxt("file", b)
</code></pre>

I have an numpy array of form

<pre><code>a = [1,2,3]
</code></pre>

which I want to save to a .txt file such that the file looks like:

<pre><code>1 2 3
</code></pre>

If I use numpy.savetxt then I get a file like:

<pre><code>1
2
3
</code></pre>

There should be a easy solution to this I suppose, any suggestions?

Saving numpy array to txt file row wise

我有一个numpy数组的表单a = [1,2,3]我希望将其保存到.txt文件中，使该文件看起来如下所示：1 2 3如果我使用numpy.savetxt，我会得到一个类似这样的文件：123我想应该有一个简单的解决方案，有什么建议吗？

问按行将numpy数组保存到txt文件
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