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author | kishimoto-banana <drehbleistift@gmail.com> | 2020-01-26 19:48:10 +0900 |
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committer | kishimoto-banana <drehbleistift@gmail.com> | 2020-01-26 19:48:10 +0900 |
commit | d2129869c19a9ef8deb19104dee90f25ce2fc108 (patch) | |
tree | 370f16a4cf2809f75b3aae0302f4a21253e401df /doc | |
parent | 9b7e890b014f6ad3b4288246f0565f7afd6eca84 (diff) | |
download | numpy-d2129869c19a9ef8deb19104dee90f25ce2fc108.tar.gz |
DOC: Fix Incorrect document
Diffstat (limited to 'doc')
-rw-r--r-- | doc/source/user/absolute_beginners.rst | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/doc/source/user/absolute_beginners.rst b/doc/source/user/absolute_beginners.rst index acf9a35b5..64955cd37 100644 --- a/doc/source/user/absolute_beginners.rst +++ b/doc/source/user/absolute_beginners.rst @@ -1027,20 +1027,20 @@ argument. To find the unique rows, specify ``axis=0`` and for columns, specify [ 5 6 7 8] [ 9 10 11 12]] -To get the unique rows, occurrence count, and index position, you can use:: +To get the unique rows, index position, and occurrence count, you can use:: - >>> unique_rows, occurence_count, indices = np.unique(a_2d, axis=0, + >>> unique_rows, indices, occurence_count = np.unique(a_2d, axis=0, >>> return_counts=True, return_index=True) >>> print('Unique Rows: ', '\n', unique_rows) - >>> print('Occurrence Count:', '\n', occurence_count) >>> print('Indices: ', '\n', indices) + >>> print('Occurrence Count:', '\n', occurence_count) Unique Rows: [[ 1 2 3 4] [ 5 6 7 8] [ 9 10 11 12]] - Occurrence Count: - [0 1 2] Indices: + [0 1 2] + Occurrence Count: [2 1 1] To learn more about finding the unique elements in an array, see `unique`. |