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numpy.trim_zeros() in Python

  • Last Updated : 27 Sep, 2019

numpy.trim_zeros function is used to trim the leading and/or trailing zeros from a 1-D array or sequence.

Syntax: numpy.trim_zeros(arr, trim)

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Parameters:
arr : 1-D array or sequence
trim : trim is an optional parameter with default value to be ‘fb'(front and back) we can either select ‘f'(front) and ‘b’ for back.



Returns: trimmed : 1-D array or sequence (without leading and/or trailing zeros as per user’s choice)

Code 1:




import numpy as geek 
  
gfg = geek.array((0, 0, 0, 0, 1, 5, 7, 0, 6, 2, 9, 0, 10, 0, 0))
  
# without trim parameter
# returns an array without leading and trailing zeros 
  
res = geek.trim_zeros(gfg)
print(res)
Output :array([1, 5, 7, 0, 6, 2, 9, 0, 10])

Code 2:




import numpy as geek 
gfg = geek.array((0, 0, 0, 0, 1, 5, 7, 0, 6, 2, 9, 0, 10, 0, 0))
  
# without trim parameter
# returns an array without any leading  zeros 
  
res = geek.trim_zeros(gfg, 'f')
print(res)
Output :array([1, 5, 7, 0, 6, 2, 9, 0, 10, 0, 0])

Code 3:




import numpy as geek 
gfg = geek.array((0, 0, 0, 0, 1, 5, 7, 0, 6, 2, 9, 0, 10, 0, 0))
  
# without trim parameter
# returns an array without any trailing  zeros 
  
res = geek.trim_zeros(gfg, 'b')
print(res)
Output :array([0, 0, 0, 0, 1, 5, 7, 0, 6, 2, 9, 0, 10])



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