Numpy MaskedArray.compressed() function - Python Last Updated : 26 Mar, 2020 Comments Improve Suggest changes Like Article Like Report numpy.MaskedArray.compressed() function return all the non-masked data as a 1-D array. Syntax : numpy.MaskedArray.compressed(self) Return : [ndarray] A new ndarray holding the non-masked data is returned. Code #1 : Python3 # Python program explaining # numpy.MaskedArray.compressed() function # importing numpy as geek # and numpy.ma module as ma import numpy as geek import numpy.ma as ma arr = geek.ma.array(geek.arange(10), mask =[0]*6 + [1]*4) gfg = arr.compressed() print(gfg) Output : [0 1 2 3 4 5] Code #2 : Python3 # Python program explaining # numpy.MaskedArray.compressed() function # importing numpy as geek # and numpy.ma module as ma import numpy as geek import numpy.ma as ma arr = geek.ma.array(geek.arange(7), mask =[0]*4 + [1]*3) gfg = arr.compressed() print(gfg) Output : [0 1 2 3] Comment More infoAdvertise with us Next Article Numpy MaskedArray.compressed() function - Python sanjoy_62 Follow Improve Article Tags : Machine Learning Python-numpy python Python Numpy-Masked Array Practice Tags : Machine Learningpython Similar Reads Numpy MaskedArray.cumprod() function | Python numpy.MaskedArray.cumprod() Return the cumulative product of the masked array elements over the given axis.Masked values are set to 1 internally during the computation. However, their position is saved, and the result will be masked at the same locations. Syntax : numpy.ma.cumprod(axis=None, dtype=N 3 min read Numpy MaskedArray.cumsum() function | Python numpy.MaskedArray.cumsum() Return the cumulative sum of the masked array elements over the given axis.Masked values are set to 0 internally during the computation. However, their position is saved, and the result will be masked at the same locations. Syntax : numpy.ma.cumsum(axis=None, dtype=None, o 3 min read Numpy MaskedArray.anom() 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 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 Numpy MaskedArray.argsort() 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 3 min read Numpy MaskedArray.average() function | Python numpy.MaskedArray.average() function is used to return the weighted average of array over the given axis. Syntax : numpy.ma.average(arr, axis=None, weights=None, returned=False) Parameters: arr :[ array_like] Input masked array whose data to be averaged. Masked entries are not taken into account in 3 min read Numpy MaskedArray.all() 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 arr 3 min read Numpy MaskedArray.any() 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 3 min read numpy.ma.MaskedArray.count() function - Python numpy.ma.MaskedArray.count() function count the non-masked elements of the array along the given axis. Syntax : numpy.ma.MaskedArray.count(self, axis=None, keepdims = no value) Parameters : axis : [None or int or tuple of ints, optional] Axis along which the count is performed. The default axis is N 2 min read Numpy MaskedArray.argmin() 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 3 min read Like