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Pandas DataFrame | values property

schedule Aug 10, 2023
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Return ValueExamplesBasic usageMutations
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Pandas DataFrame.values property returns the values of the DataFrame as a 2D NumPy array. Note that modifying DataFrame.values would also modify the original DataFrame, and vice versa.

NOTE

The to_numpy(~) method also returns the value of the DataFrame as a 2D NumPy array, but it allows for a bit more flexibility such as being able to specify the return type.

Return Value

A NumPy array holding all the values of the source DataFrame.

Examples

Basic usage

Consider the following DataFrame:

df = pd.DataFrame({"A":[1,2], "B":[3,4]})
df
   A  B
0  1  3
1  2  4

Its values property is as follows:

df.values
array([[1, 3],
       [2, 4]])

The return value is a NumPy array holding all the values of the source DataFrame.

Mutations

Suppose we modify the values property:

df.values[0,0] = 5
df
   A  B
0  5  3
1  2  4

Notice how the original DataFrame df reflected the modification.

Related

Pandas DataFrame | to_numpy method
Returns the values of the DataFrame as a 2D NumPy array.
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Published by Isshin Inada
Edited by 0 others
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Official Pandas Documentation
https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.values.html
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