Numpy Tutorial

Creating NumPy Array

NumPy Array Manipulation

Matrix in NumPy

Operations on NumPy Array

Reshaping NumPy Array

Indexing NumPy Array

Arithmetic operations on NumPy Array

Linear Algebra in NumPy Array

NumPy and Random Data

Sorting and Searching in NumPy Array

Universal Functions

Working With Images

Projects and Applications with NumPy

Split an array into multiple sub-arrays vertically in Numpy

In this tutorial, we will explore how to split a NumPy array into multiple sub-arrays vertically (along the rows) using the vsplit function and the more general split function with an axis argument.

1. Basic Setup:

To begin with, you need to have NumPy imported:

import numpy as np

2. Understanding Vertical Split:

Vertical splitting of an array refers to dividing the array along its row axis. In simpler terms, if you have a 2D matrix, vertical splitting would mean dividing the matrix into smaller matrices, slicing across rows.

3. Using vsplit:

The vsplit function is designed for vertical splitting. You provide the array and the indices where you want to split.

Example:

# Create a sample 2D array
matrix = np.array([[1, 2, 3],
                   [4, 5, 6],
                   [7, 8, 9],
                   [10, 11, 12]])

# Split the matrix into two equal parts vertically
arrays = np.vsplit(matrix, 2)

for arr in arrays:
    print(arr)
    print("---")

Output:

[[1 2 3]
 [4 5 6]]
---
[[ 7  8  9]
 [10 11 12]]
---

4. Using split with axis Argument:

The split function is more general and can be used for both horizontal and vertical splits based on the axis argument. For vertical splitting, set axis=0.

Example:

# Split the matrix into two equal parts vertically
arrays = np.split(matrix, 2, axis=0)

for arr in arrays:
    print(arr)
    print("---")

This will give the same output as the vsplit example above.

5. Uneven Splitting:

Both vsplit and split can also take a list of indices to perform uneven splits.

Example:

# Split the matrix after the first and third row
arrays = np.vsplit(matrix, [1, 3])

for arr in arrays:
    print(arr)
    print("---")

Output:

[[1 2 3]]
---
[[4 5 6]
 [7 8 9]]
---
[[10 11 12]]
---

6. Caution:

Ensure that the split points you choose result in even divisions for the array. For instance, if you have a 2D matrix with 5 rows, trying to split it equally into 2 parts using vsplit would raise an error.

7. Conclusion:

Vertical splitting in NumPy can be achieved with either vsplit or the more general split function with the right axis parameter. Knowing how to split arrays is invaluable, especially when processing large datasets or when trying to partition data for various computational tasks.

1. Splitting arrays vertically in Python with NumPy:

Splitting arrays vertically refers to dividing an array into multiple sub-arrays along the vertical axis.

import numpy as np

# Create a NumPy array for vertical splitting
array = np.array([[1, 2, 3],
                  [4, 5, 6],
                  [7, 8, 9]])

# Perform vertical splitting using vsplit
sub_arrays = np.vsplit(array, 3)

print("Original Array:")
print(array)
print("\nVertically Split Sub-Arrays:")
for sub_array in sub_arrays:
    print(sub_array)

2. How to use numpy.vsplit for vertical splitting:

Utilize numpy.vsplit to split an array vertically into sub-arrays.

# Assuming 'array' is already defined

# Perform vertical splitting using vsplit
sub_arrays = np.vsplit(array, 3)

print("Original Array:")
print(array)
print("\nVertically Split Sub-Arrays:")
for sub_array in sub_arrays:
    print(sub_array)

3. Numpy vertical split example code:

Example code demonstrating vertical splitting of a NumPy array.

# Assuming 'array' is already defined

# Perform vertical splitting using vsplit
sub_arrays = np.vsplit(array, 3)

print("Original Array:")
print(array)
print("\nVertically Split Sub-Arrays:")
for sub_array in sub_arrays:
    print(sub_array)

4. Python numpy split array by rows:

Learn how to split a NumPy array by rows using vertical splitting.

# Assuming 'array' is already defined

# Perform vertical splitting using vsplit
sub_arrays = np.vsplit(array, 3)

print("Original Array:")
print(array)
print("\nVertically Split Sub-Arrays:")
for sub_array in sub_arrays:
    print(sub_array)

5. Sample code for vertical splitting in numpy:

Sample code illustrating vertical splitting of a NumPy array.

# Assuming 'array' is already defined

# Perform vertical splitting using vsplit
sub_arrays = np.vsplit(array, 3)

print("Original Array:")
print(array)
print("\nVertically Split Sub-Arrays:")
for sub_array in sub_arrays:
    print(sub_array)

6. Numpy vertical splitting vs horizontal splitting:

Understand the difference between vertical splitting (vsplit) and horizontal splitting (hsplit) in NumPy.

# Assuming 'array' is already defined

# Perform vertical splitting using vsplit
sub_arrays_vertical = np.vsplit(array, 3)

# Perform horizontal splitting using hsplit
sub_arrays_horizontal = np.hsplit(array, 3)

print("Original Array:")
print(array)
print("\nVertically Split Sub-Arrays:")
for sub_array in sub_arrays_vertical:
    print(sub_array)
print("\nHorizontally Split Sub-Arrays:")
for sub_array in sub_arrays_horizontal:
    print(sub_array)

7. Splitting a NumPy array into sub-arrays by columns:

Explore splitting a NumPy array into sub-arrays by columns using vertical splitting.

# Assuming 'array' is already defined

# Perform vertical splitting using vsplit
sub_arrays = np.vsplit(array, 3)

print("Original Array:")
print(array)
print("\nVertically Split Sub-Arrays:")
for sub_array in sub_arrays:
    print(sub_array)

8. Python numpy vertical split usage:

Understand the usage of numpy.vsplit for vertical splitting of arrays.

# Assuming 'array' is already defined

# Perform vertical splitting using vsplit
sub_arrays = np.vsplit(array, 3)

print("Original Array:")
print(array)
print("\nVertically Split Sub-Arrays:")
for sub_array in sub_arrays:
    print(sub_array)
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