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Roll the specified axis backwards until it lies in a given position in Numpy
To roll the specified axis backwards, until it lies in a given position, use the numpy.moveaxis() method in Python Numpy. Here,
- The 1st parameter is the Input array
- The 2nd parameter is the axis to be rolled. The positions of the other axes do not change relative to one another.
- The 3rd parameter is the start i.e. when start <= axis, the axis is rolled back until it lies in this position.
When start > axis, the axis is rolled until it lies before this position.
Steps
At first, import the required library −
import numpy as np
Create an array with ones −
arr = np.ones((2, 3, 4, 5))
Displaying our array −
print("Array...
",arr)
Get the datatype −
print("
Array datatype...
",arr.dtype)
Get the dimensions of the Array −
print("
Array Dimensions...
",arr.ndim)
Get the shape of the Array −
print("
Our Array Shape...
",arr.shape)
To roll the specified axis backwards, until it lies in a given position, use the numpy.moveaxis() method −
print("
Result
",np.rollaxis(arr, 3, 1).shape) print("
Result
",np.rollaxis(arr, 2).shape) print("
Result
",np.rollaxis(arr, 1).shape) print("
Result
",np.rollaxis(arr, 1, 4).shape)
Example
import numpy as np # Create an array with ones arr = np.ones((2, 3, 4, 5)) # Displaying our array print("Array...
",arr) # Get the datatype print("
Array datatype...
",arr.dtype) # Get the dimensions of the Array print("
Array Dimensions...
",arr.ndim) # Get the shape of the Array print("
Our Array Shape...
",arr.shape) # To roll the specified axis backwards, until it lies in a given position, use the numpy.moveaxis() method in Python Numpy # Here, the 1st parameter is the Input array # The 2nd parameter is the axis to be rolled. The positions of the other axes do not change relative to one another. # The 3rd parameter is the start i.e. when start <= axis, the axis is rolled back until it lies in this position. # When start > axis, the axis is rolled until it lies before this position. print("
Result
",np.rollaxis(arr, 3, 1).shape) print("
Result
",np.rollaxis(arr, 2).shape) print("
Result
",np.rollaxis(arr, 1).shape) print("
Result
",np.rollaxis(arr, 1, 4).shape)
Output
Array... [[[[1. 1. 1. 1. 1.] [1. 1. 1. 1. 1.] [1. 1. 1. 1. 1.] [1. 1. 1. 1. 1.]] [[1. 1. 1. 1. 1.] [1. 1. 1. 1. 1.] [1. 1. 1. 1. 1.] [1. 1. 1. 1. 1.]] [[1. 1. 1. 1. 1.] [1. 1. 1. 1. 1.] [1. 1. 1. 1. 1.] [1. 1. 1. 1. 1.]]] [[[1. 1. 1. 1. 1.] [1. 1. 1. 1. 1.] [1. 1. 1. 1. 1.] [1. 1. 1. 1. 1.]] [[1. 1. 1. 1. 1.] [1. 1. 1. 1. 1.] [1. 1. 1. 1. 1.] [1. 1. 1. 1. 1.]] [[1. 1. 1. 1. 1.] [1. 1. 1. 1. 1.] [1. 1. 1. 1. 1.] [1. 1. 1. 1. 1.]]]] Array datatype... float64 Array Dimensions... 4 Our Array Shape... (2, 3, 4, 5) Result (2, 5, 3, 4) Result (4, 2, 3, 5) Result (3, 2, 4, 5) Result (2, 4, 5, 3)
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