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Numpy savetxt saves 1D array as column


Create ArrayList from arrayHow do I check if an array includes an object in JavaScript?How to append something to an array?PHP: Delete an element from an arrayHow to insert an item into an array at a specific index (JavaScript)?How do I empty an array in JavaScript?Loop through an array in JavaScriptHow to check if an object is an array?How do I remove a particular element from an array in JavaScript?For-each over an array in JavaScript?






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1















I use loadtxt to initialize array.



source = np.loadtxt('source.txt').astype(int)


After that I use this array in function, which body is:



file = open('johnson.txt', 'ab')
first = increase(np.argsort(source[0]))
np.savetxt(file, first, delimiter='-', fmt='%i')
file.close()


As a result, in txt file I should have this:



7-1-3-6-2-4-8-5


But I have this:



7
1
3
6
2
4
8
5


I have to open file in binary mode, because I need to append another rows to file. So, how can I fix that?
Thank you!










share|improve this question






















  • Try np.savetxt(file, np.atleast_2d(first), delimiter='-', fmt='%i') or np.savetxt(file, first.reshape(-1, 1), delimiter='-', fmt='%i')

    – Warren Weckesser
    Mar 22 at 16:24












  • np.atleast_2d(first) is working perfect! Thank you!

    – D3mark0
    Mar 22 at 16:32

















1















I use loadtxt to initialize array.



source = np.loadtxt('source.txt').astype(int)


After that I use this array in function, which body is:



file = open('johnson.txt', 'ab')
first = increase(np.argsort(source[0]))
np.savetxt(file, first, delimiter='-', fmt='%i')
file.close()


As a result, in txt file I should have this:



7-1-3-6-2-4-8-5


But I have this:



7
1
3
6
2
4
8
5


I have to open file in binary mode, because I need to append another rows to file. So, how can I fix that?
Thank you!










share|improve this question






















  • Try np.savetxt(file, np.atleast_2d(first), delimiter='-', fmt='%i') or np.savetxt(file, first.reshape(-1, 1), delimiter='-', fmt='%i')

    – Warren Weckesser
    Mar 22 at 16:24












  • np.atleast_2d(first) is working perfect! Thank you!

    – D3mark0
    Mar 22 at 16:32













1












1








1








I use loadtxt to initialize array.



source = np.loadtxt('source.txt').astype(int)


After that I use this array in function, which body is:



file = open('johnson.txt', 'ab')
first = increase(np.argsort(source[0]))
np.savetxt(file, first, delimiter='-', fmt='%i')
file.close()


As a result, in txt file I should have this:



7-1-3-6-2-4-8-5


But I have this:



7
1
3
6
2
4
8
5


I have to open file in binary mode, because I need to append another rows to file. So, how can I fix that?
Thank you!










share|improve this question














I use loadtxt to initialize array.



source = np.loadtxt('source.txt').astype(int)


After that I use this array in function, which body is:



file = open('johnson.txt', 'ab')
first = increase(np.argsort(source[0]))
np.savetxt(file, first, delimiter='-', fmt='%i')
file.close()


As a result, in txt file I should have this:



7-1-3-6-2-4-8-5


But I have this:



7
1
3
6
2
4
8
5


I have to open file in binary mode, because I need to append another rows to file. So, how can I fix that?
Thank you!







python arrays file numpy






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Mar 22 at 16:09









D3mark0D3mark0

112




112












  • Try np.savetxt(file, np.atleast_2d(first), delimiter='-', fmt='%i') or np.savetxt(file, first.reshape(-1, 1), delimiter='-', fmt='%i')

    – Warren Weckesser
    Mar 22 at 16:24












  • np.atleast_2d(first) is working perfect! Thank you!

    – D3mark0
    Mar 22 at 16:32

















  • Try np.savetxt(file, np.atleast_2d(first), delimiter='-', fmt='%i') or np.savetxt(file, first.reshape(-1, 1), delimiter='-', fmt='%i')

    – Warren Weckesser
    Mar 22 at 16:24












  • np.atleast_2d(first) is working perfect! Thank you!

    – D3mark0
    Mar 22 at 16:32
















Try np.savetxt(file, np.atleast_2d(first), delimiter='-', fmt='%i') or np.savetxt(file, first.reshape(-1, 1), delimiter='-', fmt='%i')

– Warren Weckesser
Mar 22 at 16:24






Try np.savetxt(file, np.atleast_2d(first), delimiter='-', fmt='%i') or np.savetxt(file, first.reshape(-1, 1), delimiter='-', fmt='%i')

– Warren Weckesser
Mar 22 at 16:24














np.atleast_2d(first) is working perfect! Thank you!

– D3mark0
Mar 22 at 16:32





np.atleast_2d(first) is working perfect! Thank you!

– D3mark0
Mar 22 at 16:32












1 Answer
1






active

oldest

votes


















0














savetxt iterates on the input array, and writes each 'row' to a new line. For the typical 2d array that would be a row. But for a 1d array that would be an element.



So change your write to saving a 2d array:



np.savetxt('test.txt', [first], delimiter=..., fmt=...)


Assuming first is a 1d array, then np.array([first]) is 1 row 2d, first[None,:] would also work (or a reshape).



To append lines, open the file in 'a' append mode. 'wb'` binary doesn't help.






share|improve this answer























  • Perfect answer, thank you! It became much clearer for me.

    – D3mark0
    Mar 22 at 16:37











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1 Answer
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active

oldest

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1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes









0














savetxt iterates on the input array, and writes each 'row' to a new line. For the typical 2d array that would be a row. But for a 1d array that would be an element.



So change your write to saving a 2d array:



np.savetxt('test.txt', [first], delimiter=..., fmt=...)


Assuming first is a 1d array, then np.array([first]) is 1 row 2d, first[None,:] would also work (or a reshape).



To append lines, open the file in 'a' append mode. 'wb'` binary doesn't help.






share|improve this answer























  • Perfect answer, thank you! It became much clearer for me.

    – D3mark0
    Mar 22 at 16:37















0














savetxt iterates on the input array, and writes each 'row' to a new line. For the typical 2d array that would be a row. But for a 1d array that would be an element.



So change your write to saving a 2d array:



np.savetxt('test.txt', [first], delimiter=..., fmt=...)


Assuming first is a 1d array, then np.array([first]) is 1 row 2d, first[None,:] would also work (or a reshape).



To append lines, open the file in 'a' append mode. 'wb'` binary doesn't help.






share|improve this answer























  • Perfect answer, thank you! It became much clearer for me.

    – D3mark0
    Mar 22 at 16:37













0












0








0







savetxt iterates on the input array, and writes each 'row' to a new line. For the typical 2d array that would be a row. But for a 1d array that would be an element.



So change your write to saving a 2d array:



np.savetxt('test.txt', [first], delimiter=..., fmt=...)


Assuming first is a 1d array, then np.array([first]) is 1 row 2d, first[None,:] would also work (or a reshape).



To append lines, open the file in 'a' append mode. 'wb'` binary doesn't help.






share|improve this answer













savetxt iterates on the input array, and writes each 'row' to a new line. For the typical 2d array that would be a row. But for a 1d array that would be an element.



So change your write to saving a 2d array:



np.savetxt('test.txt', [first], delimiter=..., fmt=...)


Assuming first is a 1d array, then np.array([first]) is 1 row 2d, first[None,:] would also work (or a reshape).



To append lines, open the file in 'a' append mode. 'wb'` binary doesn't help.







share|improve this answer












share|improve this answer



share|improve this answer










answered Mar 22 at 16:30









hpauljhpaulj

119k788162




119k788162












  • Perfect answer, thank you! It became much clearer for me.

    – D3mark0
    Mar 22 at 16:37

















  • Perfect answer, thank you! It became much clearer for me.

    – D3mark0
    Mar 22 at 16:37
















Perfect answer, thank you! It became much clearer for me.

– D3mark0
Mar 22 at 16:37





Perfect answer, thank you! It became much clearer for me.

– D3mark0
Mar 22 at 16:37



















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