How to Convert NumPy Arrays to Python Lists: tolist() vs. list()?

Converting NumPy Arrays to Python Lists: A Straightforward Approach

When working with data manipulation, it's often necessary to convert data types for analysis or integration into other tools. One common conversion is transforming NumPy arrays into Python lists. NumPy arrays offer powerful numerical operations, while lists provide flexibility and compatibility with various Python modules.

The Simple Solution: Using tolist()

To effortlessly convert a NumPy array into a Python list, rely on the convenient tolist() method. This method is designed to extract the values from the NumPy array and represent them as a list, preserving the original arrangement.

>>> import numpy as np
>>> np.array([[1, 2, 3], [4, 5, 6]]).tolist()
[[1, 2, 3], [4, 5, 6]]

Preserving NumPy Data Types

By default, tolist() converts the NumPy array values to Python types, potentially resulting in a loss of data precision. If preserving the NumPy data types is crucial, consider utilizing the list() method instead. This approach creates a list of NumPy scalars, ensuring the retention of data types.

Additional Considerations

• Data Transformation: tolist() doesn't modify the original NumPy array.
• Data Types: list() doesn't convert the NumPy array values to Python types, maintaining their original data representation.
• Accuracy Preservation: list() is suitable when the precision of the NumPy values is essential, while tolist() is preferred when the data is intended for non-numerical purposes.

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