Umformen (-1,1)
np_scaled = scaler.fit_transform(data.values.reshape(-1,1))
Juan Rubiales
np_scaled = scaler.fit_transform(data.values.reshape(-1,1))
'''
This code is contributed by :
Tanishq Vyas (github : https://github.com/tanishqvyas )
'''
actual = actual.reshape((actual.shape[0], 1))
# 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)