API Documentation
This documentation gives you overview of the Pysuit functions and method
User Guide to Kick start a collection
The dict sort function is used to sort the dictionary based on the keys and values
Usage
Using the short forms or abbreviated forms of indices
DictCollections
from pysuit import DictCollections
dict_collection = DictCollections()
dict_collection.dict_sort(dictionary , flag)
Examples
from pysuit import DictCollections
dict_collection = DictCollections()
dict_collection.dict_sort({"b": 3, "a": 34, 67: "c", 1: 64} , keys)
Output => {1: 64, 'a': 34, 'b': 3, 67: 'c'}
NestedCollections
The nested list, nested set, nested dict, nested tuple function is used to remove nested
from pysuit import NestedCollections
nested_collection = NestedCollections()
nested_collection.nested_iterator(nested_list)
Examples of NestedCollections
from pysuit import NestedCollections
nested_collection = NestedCollections()
nested_collection.nested_iterator([[0, 4], [2, 3, 4], [0, 1, 2], [0, 1, 2, 3, 4], [0, 1, 2, 3, 4]])
Converted list is => [0, 4, 2, 3, 4, 0, 1, 2, 0, 1, 2, 3, 4, 0, 1, 2, 3, 4]
ExcludeRandom
This function is used to generate random number but except of given elements of list
from pysuit import ExcludeRandom
exclude_random = ExcludeRandom()
exclude_random.exclude_random(start, stop, [exclude numbers])
Examples of ExcludeRandom
from pysuit import ExcludeRandom
exclude_random = ExcludeRandom()
exclude_random.exclude_random(1, 10, [4, 5, 9])
Random number is => 8
DataTypeCollection
This function is works for generate fake python datatype data like - list, tuple, set, dict
from pysuit import DataTypeCollection
data_collection = DataTypeCollection()
data_collection.fake_random_datatype(datatype, length of datatype)
Examples of DataTypeCollection
from pysuit import DataTypeCollection
data_collection = DataTypeCollection()
data_collection.fake_random_datatype(list, 10)
Fake random data is => [93, 91, 9163, -1967.88203, 3, 'thousand', -197247.03, 913, 983, 'thousand']