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numpy array [-1]

HotFlow answered on April 21, 2021 Popularity 9/10 Helpfulness 2/10

answer numpy array [-1]

related numpy array

numpy array [-1]

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print(b)
>>array([[ 0,  1,  2,  3],
       [10, 11, 12, 13],
       [20, 21, 22, 23],
       [30, 31, 32, 33],
       [40, 41, 42, 43]])

print(b[-1])       # the last row. Equivalent to b[-1,:]
>>array([40, 41, 42, 43])

Popularity 9/10 Helpfulness 2/10 Language python

Source: numpy.org

Tags: numpy python

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Contributed on Apr 21 2021

HotFlow

0 Answers Avg Quality 2/10

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numpy array

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- numpy array:
    - contains only one type (homogeneous)
    - all elements acts as a single element while doing 
      mathematical operations (broadcasting)
    - used for subsetting/ filtering
    - Faster mathematial operation (due to broadcasting)
- broadcasting: `some_array > 50`
- filtering: `x[x > 40]`
- see shape (this is an attribute, not a method): `some_array.shape`
- 2d numpy array : 
    - array that's like a list of lists
    - indexing: `some_array[row][column]` or `some_array[row,column]`
    - subsetting : `some_array[row1:row_n][column1:column_n]` 
      or `some_array[row1:row_n,column1:column_n]`

Popularity 10/10 Helpfulness 1/10 Language whatever

Source: Grepper

Tags: numpy nump

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Contributed on Oct 28 2023

Innocent Iguana

0 Answers Avg Quality 2/10

numpy array [-1]

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