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numpy_exercises [2020/10/17 19:26] prasanthinumpy_exercises [2020/10/25 04:39] (current) prasanthi
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 Q. Given two one dimensional arrays, how to combine them into a 2d numpy array? Q. Given two one dimensional arrays, how to combine them into a 2d numpy array?
  
-A. use np.column_stack((c1, c2))+A. use <nowiki>np.column_stack((c1, c2))</nowiki>
  
 <code> <code>
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 2 2
 </code> </code>
-You can also get the same result by doing np.vstack((c1, c2)).T . But I like the column_stack() approach as it gives the correct shape right away and does not require a transpose.+You can also get the same result by doing <nowiki>np.vstack((c1, c2)).T</nowiki> . But I like the column_stack() approach as it gives the correct shape right away and does not require a transpose.
  
 <code> <code>
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 True True
 </code> </code>
 +
 +Ref:-
 +  * https://openlibrary.org/books/OL26834151M/Python_for_Data_Analysis_Data_Wrangling_with_Pandas_NumPy_and_IPython -> Appendix A "Advanced Numpy" -> "A.2 Advanced Array Manipulation" -> "Concatenating and Splitting Arrays" -> "Table A-1. Array concatenation functions" - contains a list of similar functions and their description.
 +  * https://numpy.org/doc/stable/reference/generated/numpy.array_equal.html - np.array_equal() can be used to check if two arrays are equal
 +  * https://stackoverflow.com/questions/17710672/create-2-dimensional-array-with-2-one-dimensional-array
 +
 +tags | combine two numpy arrays into 2d array
  
numpy_exercises.1602962766.txt.gz · Last modified: 2020/10/17 19:26 by prasanthi