numpy.ma.fix_invalid() function | Python Last Updated : 05 May, 2020 Summarize Comments Improve Suggest changes Share Like Article Like Report numpy.ma.fix_invalid() function return input with invalid data masked and replaced by a fill value. Where invalid data means values of nan, inf, etc. Syntax : numpy.ma.fix_invalid(arr, mask = False, copy = True, fill_value = None) Parameter : arr : [array_like] Input array. mask : [sequence, optional] Must be convertible to an array of booleans with the same shape as data. True indicates a masked data. copy : [bool, optional] Whether to use a copy of a (True) or to fix a in place (False). Default is True. fill_value : [scalar, optional] Value used for fixing invalid data. Default is None, in which case the arr.fill_value is used. Return : [MaskedArray] The input array with invalid entries fixed. Code #1 : Python3 # Python program explaining # numpy.ma.fix_invalid() function # importing numpy as geek import numpy as geek arr = geek.ma.array([1., -1, geek.nan, geek.inf], mask =[1] + [0]*3) gfg = geek.ma.fix_invalid(arr) print (gfg) Output : [-- -1.0 -- --] Code #2 : Python3 # Python program explaining # numpy.ma.fix_invalid() function # importing numpy as geek import numpy as geek arr = geek.ma.array([1., -1, geek.nan, geek.inf, -1, geek.nan], mask =[1] + [0]*5) gfg = geek.ma.fix_invalid(arr) print (gfg) Output : [-- -1.0 -- -- -1.0 --] Comment More infoAdvertise with us Next Article numpy.ma.fix_invalid() function | Python S sanjoy_62 Follow Improve Article Tags : Machine Learning Python-numpy python Python Numpy-Masked Array Practice Tags : Machine Learningpython Similar Reads numpy.ma.filled() function - Python numpy.ma.filled() function return input as an array with masked data replaced by a fill value. If arr is not a MaskedArray, arr itself is returned. If arr is a MaskedArray and fill_value is None, fill_value is set to arr.fill_value. Syntax : numpy.ma.filled(arr, fill_value = None) Parameters : arr : 1 min read Numpy MaskedArray.masked_invalid() function | Python In many circumstances, datasets can be incomplete or tainted by the presence of invalid data. For example, a sensor may have failed to record a data, or recorded an invalid value. The numpy.ma module provides a convenient way to address this issue, by introducing masked arrays.Masked arrays are arra 2 min read numpy.mintypecode() function – Python numpy.mintypecode() function return the character for the minimum-size type to which given types can be safely cast. Syntax : numpy.mintypecode(typechars, typeset = 'GDFgdf', default = 'd') Parameters : typechars : [list of str or array_like] If a list of strings, each string should represent a dtyp 1 min read numpy.fix() in Python The numpy.fix() is a mathematical function that rounds elements of the array to the nearest integer towards zero. The rounded values are returned as floats. Syntax : numpy.fix(a, b = None) Parameters : a : [array_like] Input array to be floated. b : [ndarray, optional] Output array. Return : The arr 2 min read Numpy MaskedArray.astype() function | Python In many circumstances, datasets can be incomplete or tainted by the presence of invalid data. For example, a sensor may have failed to record a data, or recorded an invalid value. The numpy.ma module provides a convenient way to address this issue, by introducing masked arrays.Masked arrays are arra 2 min read Like