I have a pandas data frame my_df, where I can find the mean(), median(), mode() of a given column:
my_df[\'field_A\'].mean() my_df[\'field_A\'].median() my_d
You can even give multiple columns with null values and get multiple quantile values (I use 95 percentile for outlier treatment)
my_df[['field_A','field_B']].dropna().quantile([0.0, .5, .90, .95])