To add each and every element of a masked array with a scalar value val, use the ma.MaskedArray.__add__() method. Returns the array with the value val added to every element. A masked array is the combination of a standard numpy.ndarray and a mask. A mask is either nomask, indicating that ... Read More

To return the absolute value of a masked Array, use the ma.MaskedArray.__abs__() method. If the element is negative, the abs() method negates it and returns. A masked array is the combination of a standard numpy.ndarray and a mask. A mask is either nomask, indicating that no value of the associated array ... Read More

To check which element in a masked array is not equal to a given value, use the ma.MaskedArray.__ne__() method. True is returned for every array element not equal to a given value val. A masked array is the combination of a standard numpy.ndarray and a mask. A mask is either ... Read More

To check which element in a masked array is equal to a given value, use the ma.MaskedArray.__eq__() method. True is returned for every array element equal to a given value val. A masked array is the combination of a standard numpy.ndarray and a mask. A mask is either nomask, indicating ... Read More

To check which element in a masked array is greater than or equal to a given value, use the ma.MaskedArray.__ge__() method. True is returned for every array element greater than or equal to a given value val. A masked array is the combination of a standard numpy.ndarray and a mask. ... Read More

To return the standard deviation of the masked array elements, use the ma.MaskedArray.std() in Numpy. The axis is set using the axis parameter. The axis is set to 0, for column axis.Returns the standard deviation, a measure of the spread of a distribution, of the array elements. The standard deviation is ... Read More

To return the standard deviation of the masked array elements, use the ma.MaskedArray.std() in Numpy. The axis is set using the axis parameter. The axis is set to 1, for row axis.Returns the standard deviation, a measure of the spread of a distribution, of the array elements. The standard deviation ... Read More

To return the standard deviation of the masked array elements, use the ma.MaskedArray.std() in Numpy. The axis is set using the axis parameter.Returns the standard deviation, a measure of the spread of a distribution, of the array elements. The standard deviation is computed for the flattened array by default, otherwise ... Read More

To return the standard deviation of the masked array elements, use the ma.MaskedArray.std() in Python Numpy. Returns the standard deviation, a measure of the spread of a distribution, of the array elements. The standard deviation is computed for the flattened array by default, otherwise over the specified axis.The axis parameter ... Read More

To return each element rounded to the given number of decimals, use the ma.MaskedArray.around() method in Numpy. Set the number of decimal places to round using the "decimals" parameter.The decimals parameter is the number of decimal places to round to (default: 0). If decimals is negative, it specifies the number ... Read More