The standard error is the standard deviation of the distribution of a sample statistic, most often the mean. For a mean, it equals s / square root of n: it decreases as the sample size increases. It measures the precision of the estimate and is used to build confidence intervals.
Example
se = df['x'].std() / len(df) ** 0.5