aggregate (collection, func[, points]) |
Takes a collection of Stairs instances and returns a single instance representing the aggregation. |
mean (collection) |
Takes a collection of Stairs instances and returns the mean of the corresponding step functions. |
median (collection) |
Takes a collection of Stairs instances and returns the median of the corresponding step functions. |
min (collection) |
Takes a collection of Stairs instances and returns the minimum of the corresponding step functions. |
max (collection) |
Takes a collection of Stairs instances and returns the maximum of the corresponding step functions. |
sample (collection[, points, how, expand_key]) |
Takes a dict-like collection of Stairs instances and evaluates their values across a common set of points. |
hist_from_ecdf (ecdf[, bin_edges, closed]) |
Calculates a histogram from a Stairs instance corresponding to an empirical cumulative distribution function. |
cov (collection[, lower, upper]) |
Calculates the covariance matrix for a collection of Stairs instances |
corr (collection[, lower, upper]) |
Calculates the correlation matrix for a collection of Stairs instances |
make_test_data ([dates]) |
Returns test data |