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Reshape (-1,1)

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Juan Rubiales answered on April 25, 2020 Popularity 10/10 Helpfulness 2/10

answer Reshape (-1,1)

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Reshape (-1,1)

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np_scaled = scaler.fit_transform(data.values.reshape(-1,1))

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Source: stackoverflow.com

Tags: python reshape

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Contributed on Jun 13 2022

Juan Rubiales

0 Answers Avg Quality 2/10

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reshape python

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>>> np.reshape(a, (2, 3)) # C-like index ordering
array([[0, 1, 2],
       [3, 4, 5]])
>>> np.reshape(np.ravel(a), (2, 3)) # equivalent to C ravel then C reshape
array([[0, 1, 2],
       [3, 4, 5]])
>>> np.reshape(a, (2, 3), order='F') # Fortran-like index ordering
array([[0, 4, 3],
       [2, 1, 5]])
>>> np.reshape(np.ravel(a, order='F'), (2, 3), order='F')
array([[0, 4, 3],
       [2, 1, 5]])

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Source: docs.scipy.org

Tags: python py

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Contributed on Apr 25 2020

Xerothermic Xenomorph

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np reshape

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np.reshape(a, (3,-1))       # the unspecified value is inferred to be 2
array([[1, 2],
       [3, 4],
       [5, 6]])

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Source: numpy.org

Tags: np n

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Contributed on Aug 18 2022

Athul Mathew

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reshape (n ) to (n 1)

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'''
This code is contributed by :
Tanishq Vyas (github : https://github.com/tanishqvyas )
'''

actual = actual.reshape((actual.shape[0], 1))

Popularity 10/10 Helpfulness 3/10 Language python

Source: Grepper

Tags: python py

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Contributed on Nov 16 2020

Tanishq Vyas

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.reshape(-1,1)

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z.reshape(-1,1)
array([[ 1],
   [ 2],
   [ 3],
   [ 4],
   [ 5],
   [ 6],
   [ 7],
   [ 8],
   [ 9],
   [10],
   [11],
   [12]])

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Source: stackoverflow.com

Tags: whatever whateve

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Contributed on Jan 12 2022

Vast Vendace

0 Answers Avg Quality 2/10

np.reshape()

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a = np.array([[1,2,3], [4,5,6]])
>>> np.reshape(a, 6)
array([1, 2, 3, 4, 5, 6])
>>> np.reshape(a, 6, order='F')
array([1, 4, 2, 5, 3, 6])

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Source: numpy.org

Tags: python py

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Contributed on May 07 2022

Vast Vendace

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reshape

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# Python Program illustrating
# numpy.reshape() method
 
import numpy as geek
 
# array = geek.arrange(8)
# The 'numpy' module has no attribute 'arrange'
array1 = geek.arange(8)
print("Original array : \n", array1)
 
# shape array with 2 rows and 4 columns
array2 = geek.arange(8).reshape(-1, 1)
print("\narray reshaped with 2 rows and 4 columns : \n",
      array2)
 
# shape array with 4 rows and 2 columns
array3 = geek.arange(8).reshape(4, 2)
print("\narray reshaped with 2 rows and 4 columns : \n",
      array3)
 
# Constructs 3D array
array4 = geek.arange(8).reshape(2, 2, 2)
print("\nOriginal array reshaped to 3D : \n",
      array4)

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Source: www.geeksforgeeks.org

Tags: python py

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Contributed on May 14 2022

MALESELA MARCUS

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Reshape (-1,1)

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