Convert NumPy to Excel

Introduction to NumPy

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:

1. Ndarray, a multidimensional array object, is a fast, flexible, and space‑saving data structure.
2. Linear algebra operations, including matrix multiplication, transposition, inversion, etc.
3. Fourier transform, performing a fast Fourier transform on an array.
4. Fast operations on floating‑point arrays.
5. Integrate C language code into Python to make it run faster.

Using Aspose.Cells for Python via .NET API, you can convert a NumPy ndarray to Excel, OpenOffice, PDF, JSON, and many other formats.

How to Convert NumPy ndarray to Excel Workbook

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:

1. Create sample NumPy array data.
2. Traverse the NumPy array and import data using Aspose.Cells for Python via .NET.

The output:

How to Convert NumPy ndarray to Worksheet

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:

1. Create sample NumPy array data.
2. Traverse the NumPy array and import data using Aspose.Cells for Python via .NET.

The output:

How to Convert NumPy ndarray to ListObject

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:

1. Create sample NumPy array data.
2. Traverse the NumPy array and import data using Aspose.Cells for Python via .NET.
3. Create a ListObject using the sample data.

The output:

How to Convert NumPy ndarray to Range

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:

1. Create sample NumPy array data.
2. Traverse the NumPy array and import data using Aspose.Cells for Python via .NET.
3. Create a Range object using the sample data.

The output:

row count: 4
column count: 3

How to Convert NumPy ndarray to Name

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:

1. Create sample NumPy array data.
2. Traverse the NumPy array and import data using Aspose.Cells for Python via .NET.
3. Create a Name object using the sample data.

The output: