prysm.util#
Utility functions.
- prysm.util.mean(array)#
Return the mean value of the valid elements of an array.
- Parameters:
array (numpy.ndarray) – array of values
- Returns:
mean value
- Return type:
float
- prysm.util.pv(array)#
Return the PV value of the valid elements of an array.
- Parameters:
array (numpy.ndarray) – array of values
- Returns:
PV of the array
- Return type:
float
- prysm.util.rms(array)#
Return the RMS value of the valid elements of an array.
- Parameters:
array (numpy.ndarray) – array of values
- Returns:
RMS of the array
- Return type:
float
- prysm.util.Sa(array)#
Return the Ra value for the valid elements of an array.
- Parameters:
array (numpy.ndarray) – array of values
- Returns:
Ra of the array
- Return type:
float
- prysm.util.std(array)#
Return the standard deviation of the valid elements of an array.
- Parameters:
array (numpy.ndarray) – array of values
- Returns:
std of the array
- Return type:
float
- prysm.util.ecdf(x)#
Compute the empirical cumulative distribution function of a dataset.
- Parameters:
x (iterable) – Data
- Returns:
xs (numpy.ndarray) – sorted data
ys (numpy.ndarray) – cumulative distribution function of the data
- prysm.util.sort_xy(x, y)#
Sorts a pair of x and y iterables, returning arrays in order of ascending x.
- Parameters:
x (iterable) – a list, numpy ndarray, or other iterable to sort by
y (iterable) – a list, numpy ndarray, or other iterable that is y=f(x)
- Returns:
sorted_x (iterable) – an iterable containing the sorted x elements
sorted_y (iterable) – an iterable containing the sorted y elements