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NumPy (Numerical Python) is an open-source numerical computation extension of Python. This tool can be used to store and process large matrices, which is much more efficient than Python’s nested list structure (which can also be used to represent matrices). It supports a large number of dimensional arrays and matrix operations, and also provides a large number of mathematical function libraries for array operations.
The main functions of NumPy:
Using Aspose.Cells for Python via .NET API, you can convert NumPy ndarray to Excel , OpenOffice, Pdf, Json and many different formats.
Here’s an example code snippet to demonstrate how to import data from a NumPy array to an Excel file using Aspose.Cells for Python via .NET:
The output result:

Here’s an example code snippet to demonstrate how to import data from a NumPy array to an Excel file using Aspose.Cells for Python via .NET:
The output result:

Here’s an example code snippet to demonstrate how to import data from a NumPy array to a ListObject using Aspose.Cells for Python via .NET:
The output result:

Here’s an example code snippet to demonstrate how to import data from a NumPy array to a Range using Aspose.Cells for Python via .NET:
The output result:
row count: 4
column count: 3
Here’s an example code snippet to demonstrate how to import data from a NumPy array to a Name using Aspose.Cells for Python via .NET:
The output result:
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