How to remove outliers from a Numpy array in Python

Removing outliers from a NumPy array results in a new array without any elements that are a specified number of standard deviations away from the mean of the array.

Solution for How to remove outliers from a Numpy array in Python : You can use np.mean() and np.std() to remove outliers from an array Find the mean and standard deviation of an array using np.mean(a) and np.std(a), with a as an array. Get a new array with the distance from the mean of each element in an array using abs(a – mean). Determine if a given element is not an outlier by checking if its distance from the mean is less than the standard deviation multiplied by a constant. The constant is the number of standard deviations away from the mean by which an outlier is defined. Subset the original array using this calculation to get a new array without any outliers.


how-to-remove-outliers-from-a-numpy-array-in-python