numpy.MaskedArray.anom() Calculates anomalies (deviations from the arithmetic mean) along the specified axis. Returns an array of anomalies that have the same shape as the input and where the arithmetic mean is calculated along the specified axis.
numpy.MaskedArray. anom (axis = None, dtype = None)
axis: [int or None] Axis over which the anomalies are taken.
dtype: [dtype, optional] Type to use in computing the variance.
Return: [ndarray ] an array of anomalies.
Code # 1:
p> Output :
# Python program, explaining
# numpy.MaskedArray.anom () method
# import numy as geek
# and numpy.ma module as ma
numpy as geek
numpy. ma as ma
# create input array p >
1 code >
# Now we create a masked array
# making the third the entry is invalid.
ma. masked_array (in_arr, mask
# using MaskedArray.anom methods to mask the array
"Output anomalies array:"
Input array: [1 2 3 -1 5] Masked array: [1 2 - -1 5] Output anomalies array : [-0.75 0.25 - -2.75 3.25]
Code # 2:
nput array: [10 20 30 40 50] Masked array: [- 20 - 40 50] Output anomalies array: [ - -16.666666666666664 - 3.3333333333333 357 13.333333333333336]
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