gendas package¶

Subpackages¶

Basic statistic algorithms computed over an iterable collection without loading all the values into memory.

gendas.statistics.count(iterator)¶

Counts the length of an iterator iterating it

Parameters:	iterator – An iterable collection
Returns:	How many elements you have in the iterator

gendas.statistics.empty(fn, values, default=None)¶

Returns ‘default’ value if ‘values’ list is empty. Otherwise calls ‘fn’ with the ‘values’ list.

Parameters:	fn – The function to call if the list is not empty values – Values to pass to the ‘fn’ function default – The value to return if the list is empty
Returns:	‘default’ if ‘values’ is empty, ‘fn(values)’ otherwise.

gendas.statistics.max(values)¶

Computes the maximum value

Parameters:	values – An iterable collection
Returns:	The maximum value or None if values it’s empty

gendas.statistics.mean(values)¶

Computes the mean value

Parameters:	values – An iterable collection
Returns:	The mean or None if values it’s empty

gendas.statistics.min(values)¶

Computes the minimum value

Parameters:	values – An iterable collection
Returns:	The minimum value or None if values it’s empty

gendas.statistics.peek(iterable)¶

Get the first value of an iterator without iterating two times an iterator

Parameters:	iterable – An iterable
Returns:	The first value and an iterator to iterate all the values included the first one.

Help functions used in several modules.

gendas.utils.flatten(iterable)¶

A generator that iterates a collection of nested lists as a single collection

Parameters:	iterable – An iterable collection with nested lists