- Trending Categories
Data Structure
Networking
RDBMS
Operating System
Java
MS Excel
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
Physics
Chemistry
Biology
Mathematics
English
Economics
Psychology
Social Studies
Fashion Studies
Legal Studies
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
Compute the median of the masked array elements along specified axis in Numpy
To compute the median of the masked array elements along specific axis, use the MaskedArray.median() method in Python Numpy −
- The axis is set using the "axis" parameter
- The axis is axis along which the medians are computed.
- The default (None) is to compute the median along a flattened version of the array.
The overwrite_input parameter, if True, then allow use of memory of input array (a) for calculations. The input array will be modified by the call to median. This will save memory when you do not need to preserve the contents of the input array. Treat the input as undefined, but it will probably be fully or partially sorted. Default is False. Note that, if overwrite_input is True, and the input is not already an ndarray, an error will be raised.
Steps
At first, import the required library −
import numpy as np import numpy.ma as ma
Create an array with int elements using the numpy.array() method −
arr = np.array([[65, 68, 81], [93, 33, 76], [73, 88, 51], [62, 45, 67]]) print("Array...
", arr)
Create a masked array and mask some of them as invalid −
maskArr = ma.masked_array(arr, mask =[[1, 1, 0], [ 0, 0, 0], [0, 1, 0], [0, 1, 0]]) print("
Our Masked Array...
", maskArr)
Get the type of the masked array −
print("
Our Masked Array type...
", maskArr.dtype)
Get the dimensions of the Masked Array −
print("
Our Masked Array Dimensions...
",maskArr.ndim)
Get the shape of the Masked Array −
print("
Our Masked Array Shape...
",maskArr.shape)
Get the number of elements of the Masked Array −
print("
Number of elements in the Masked Array...
",maskArr.size)
To compute the median of the masked array elements along specific axis, use the MaskedArray.median() method. The axis is set using the "axis" parameter. The axis is axis along which the medians are computed. The default (None) is to compute the median along a flattened version of the array −
resArr = np.ma.median(maskArr, axis = 1) print("
Resultant Array..
.", resArr)
Example
import numpy as np import numpy.ma as ma # Create an array with int elements using the numpy.array() method arr = np.array([[65, 68, 81], [93, 33, 76], [73, 88, 51], [62, 45, 67]]) print("Array...
", arr) # Create a masked array and mask some of them as invalid maskArr = ma.masked_array(arr, mask =[[1, 1, 0], [ 0, 0, 0], [0, 1, 0], [0, 1, 0]]) print("
Our Masked Array...
", maskArr) # Get the type of the masked array print("
Our Masked Array type...
", maskArr.dtype) # Get the dimensions of the Masked Array print("
Our Masked Array Dimensions...
",maskArr.ndim) # Get the shape of the Masked Array print("
Our Masked Array Shape...
",maskArr.shape) # Get the number of elements of the Masked Array print("
Number of elements in the Masked Array...
",maskArr.size) # To compute the median of the masked array elements along specific axis, use the MaskedArray.median() method in Python Numpy # The axis is set using the "axis" parameter # The axis is axis along which the medians are computed. # The default (None) is to compute the median along a flattened version of the array. resArr = np.ma.median(maskArr, axis = 1) print("
Resultant Array..
.", resArr)
Output
Array... [[65 68 81] [93 33 76] [73 88 51] [62 45 67]] Our Masked Array... [[-- -- 81] [93 33 76] [73 -- 51] [62 -- 67]] Our Masked Array type... int64 Our Masked Array Dimensions... 2 Our Masked Array Shape... (4, 3) Number of elements in the Masked Array... 12 Resultant Array.. . [81.0 76.0 62.0 64.5]
- Related Articles
- Compute the median of the masked array elements along axis 0 in Numpy
- Compute the maximum of the masked array elements along a given axis in Numpy
- Compute the minimum of the masked array elements along a given axis in Numpy
- Compute the median of the masked array elements in Numpy
- Count the non-masked elements of the masked array along axis 0 in Numpy
- Count the non-masked elements of the masked array along axis 1 in Numpy
- Count the non-masked elements of the masked array along the given axis in Numpy
- Compute the maximum of the masked array elements over axis 0 in Numpy
- Compute the maximum of the masked array elements over axis 1 in Numpy
- Compute the minimum of the masked array elements over axis 0 in Numpy
- Compute the minimum of the masked array elements over axis 1 in Numpy
- Return the average of the masked array elements along specific axis in Numpy
- Return the variance of the masked array elements along column axis in Numpy
- Return the variance of the masked array elements along given axis in Numpy
- Repeat elements of a masked array along given axis in NumPy
