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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 Excel, TSV, CSV, JSON and many different formats to NumPy ndarray.
Here’s an example code snippet to demonstrate how to export Excel data to a NumPy array using Aspose.Cells for Python via .NET:
The output result:
[[['City' 'Region' 'Store']
['Chicago' 'Central' '3055']
['New York' 'East' '3036']
['Detroit' 'Central' '3074']]
[['City2' 'Region2' 'Store3']
['Seattle' 'West' '3000']
['Philadelphia' 'East' '3082']
['Detroit' 'Central' '3074']]
[['City3' 'Region3' 'Store3']
['Seattle' 'West' '3166']
['New York' 'East' '3090']
['Chicago' 'Central' '3055']]]
Here’s an example code snippet to demonstrate how to export worksheet data to NumPy ndarray using Aspose.Cells for Python via .NET:
The output result:
[['City' 'Region' 'Store']
['Chicago' 'Central' '3055']
['New York' 'East' '3036']
['Detroit' 'Central' '3074']]
Here’s an example code snippet to demonstrate how to export range data to NumPy ndarray using Aspose.Cells for Python via .NET:
The output result:
[['Region' 'Store']
['Central' '3055']
['East' '3036']]
Here’s an example code snippet to demonstrate how to export ListObject data to NumPy ndarray using Aspose.Cells for Python via .NET:
The output result:
[['City' 'Region' 'Store']
['Chicago' 'Central' '3055']
['New York' 'East' '3036']
['Detroit' 'Central' '3074']]
Here’s an example code snippet to demonstrate how to export row data to NumPy ndarray using Aspose.Cells for Python via .NET:
The output result:
['Detroit' 'Central' '3074']
Here’s an example code snippet to demonstrate how to export column data to NumPy ndarray using Aspose.Cells for Python via .NET:
The output result:
['Store' '3055' '3036' '3074']
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