Differences

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--- numpy_exercises [2020/10/17 19:26] – prasanthi
+++ numpy_exercises [2020/10/18 02:55] – prasanthi
@@ Line 2: / Line 2: @@
 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>
@@ Line 33: / Line 33: @@
 </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>
@@ Line 51: / Line 51: @@
 True
 </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