Python data visualisation
pip install datavision
Qunti (群体, groups) are lists that act
- as dictionaries that can contain duplicate keys and
- as sets for the purposes of enabling set-like operations for qunti objects, such as symmetric difference, intersection and update operations.
Qunti are composed of multiple zu (组, group) objects.
In an update operation, one qunti is used to update another. Any zus in the updating qunti that are not in the updated qunti are appended to the updated qunti. Any zus that are in the updating qunti and the updated qunti replace the corresponding zus in the updated qunti.
The following example illustrates a qunti update operation in which an alpha
zus is replaced and a delta
zus is appended:
# example qunti update:
a = [['alpha', '10'], ['beta', '20'], ['gamma', '30'], ['gamma', '15']]
b = [['delta', '40'], ['alpha', '50']]
# update of a with b:
a = [['beta', '20'], ['gamma', '30'], ['gamma', '15'], ['delta', '40'], ['alpha', '50']]
The following example illustrates qunti symmetric difference, intersection and update operations. In the update operation, two old gamma
zus are replaced by a single new gamma
zu:
# example qunti symmetric difference, intersection and update:
a = [['alpha', '10'], ['beta', '20'], ['gamma', '30'], ['gamma', '15']]
b = [['delta', '40'], ['alpha', '50'], ['gamma', '25']]
# symmetric difference of a and b:
[['beta', '20'], ['delta', '40']]
# intersection of a and b:
[['alpha', '10'], ['gamma', '30'], ['gamma', '15'], ['alpha', '50'], ['gamma', '25']]
# update of a with b:
a = [['beta', '20'], ['delta', '40'], ['alpha', '50'], ['gamma', '25']]
Datavision provides utilities for data visualisation.
│
┼+79.548 ○
│
│ ○
│
│ ○
│
│ ○
◽ ◽ ◽ ○
│ ◽ ○
│ ○ ◽
───○┼──────○───────○───────────────────────◽────────────────────────────────┼───
│ +0.046 ◽ +8.97638
│
│ ◽
│
│ ◽
┼-48.228
│ ◽
│
│
┼+75503.2
∘∘|∘
∘||||∘
||||||∘
∘|||||||
||||||||∘
∘|||||||||
||||||||||∘
∘|||||||||||
|||||||||||∘
∘||||||||||||
|||||||||||||∘
||||||||||||||∘
∘|||||||||||||||∘
∘|||||||||||||||||∘
∘|||||||||||||||||||∘
∘∘∘||||||||||┼+1603.2|||∘∘∘
──┼--------------------------------------------┼──
-4.69099 │ +4.6147
echo "0, 1, 4, 9, 16, 25, 36, 49, 64, 81" | datavision_TTY_plot.py
Datavision features some scripts for interacting with databases:
change_field_name_database_SQLite.py
duplicates_database_SQLite.py
view_database_SQLite.py