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ndarray python

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Benja answered on October 8, 2021 Popularity 10/10 Helpfulness 3/10

answer ndarray python

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ndarray python

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# First mode, buffer is None:
>>> np.ndarray(shape=(2,2), dtype=float, order='F')
array([[0.0e+000, 0.0e+000], # random
       [     nan, 2.5e-323]])

#Second mode:
>>> np.ndarray((2,), buffer=np.array([1,2,3]),
           offset=np.int_().itemsize,
           dtype=int) # offset = 1*itemsize, i.e. skip first element
array([2, 3])

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Source: numpy.org

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Contributed on Jun 07 2022

Benja

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import numpy as np

ary=np.array([1, 2, 3, 4])

print(ary[0]) # 1
print(ary[2]) # 3
print(ary[::2]) # array([1, 3])

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Contributed on Oct 08 2021

Nazário

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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]`

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Contributed on Oct 28 2023

Innocent Iguana

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ndarray python

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