The numpy.std() function calculates the statistical measure of how the data in a NumPy array or list is spread out from the mean. It returns the standard deviation, which is a measure of the amount of variation or dispersion of the data in the array. By default, the function calculates the standard deviation of the entire array.
Example
We can also calculate the standard deviation across different axis such as rows or columns by specifying the axis parameter. Specifying axis = 0 means the standard deviation will be calculated along the column and axis = 1 specifies to find the standard deviation across the rows.
Example