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Python | Pandas Index.get_values ​​()

Index.get_values() Pandas Index.get_values() returns index data as numpy.ndarray ... Returns a one-dimensional array for a multi-index array.

Syntax: Index.get_values ​​()

Returns: A one- dimensional numpy array of the Index values ​​

Example # 1: Use Index.get_values ​​() to return the index value as an array.

# import pandas as pd

import pandas as pd

 
# Create an index

idx = pd.Index ([ ’Labrador’ , ’ Beagle’ , ’ Labrador’ ,

< code class = "undefined spaces">  ’Lhasa’ , ’ Husky ’ , ’ Beagle’ ])

 
# Print index
idx

Output:

Let’s use Index.get_values ​​() to return the index data as an array.

# Returns the index marks as an array
idx.get_values ​​()

Output:

As we can see in the output, Index.get_values ​​() returned index labels as a numpy array.

Example # 2: Use Index.get_values ​​() for a multi-index array.

# import pandas as pd

import pandas as pd

 
# Create MultiIndex object

midx = pd.MultiIndex.from_arrays ([[ ’Mon’ , ’Tue’ , ’ Wed’ , ’Thr’ ],

[ 10 , 20 , 30 , 40 ]], names = ( ’Days’ , ’ Target’ ))

 
# Print the MultiIndex object
midx

Output:

Let’s return the index labels to one-dimensional array format.

# Convert multi-index to one  
# array size.
midx.get_values ​​()

Output:

As we can see in the output, even the multi-index was converted to a one-dimensional array.

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