datatoaster

datatoaster is a Python 3 library that can convert raw data to chart data so that it can used to generate charts easily. If you like this project or find it useful please consider giving me a GitHub star. Much appreciated! :)

Suggestions are welcome!

Installation

You can install it via pip

$ pip install datatoaster

or manually install by

$ python3 setup.py install

You can run unit tests by

$ python3 ./tests/tests.py

Examples

Given a data set, I want to know how many percent of my users paid money (per OS).

>>> data = [{"PaidAmount": 0, "OS": "iOS"}, {"PaidAmount": 0, "OS": "Android"}, {"PaidAmount": 301, "OS": "Android"}, {"PaidAmount": 0, "OS": "Windows"}, {"PaidAmount": 14, "OS": "Windows"}, {"PaidAmount": 56, "OS": "iOS"}, {"PaidAmount": 2, "OS": "Windows"}, {"PaidAmount": 0, "OS": "Windows"}]
>>> datatoaster.DataSet(data) \
        .set_x(lambda i: i["OS"]) \
        .set_y(datatoaster.DataSet.PercentageWithinGroup) \
        .add_constraint(lambda i: i["PaidAmount"] != 0) \
        .get_result()
        
{'Windows': 0.5, 'iOS': 0.5, 'Android': 0.5}

I can now know 50% users in each OS paid money to me! I can also use this data to draw chart.

For more examples, you can run python3 ./demo/server.py.

Documentation

DataSet.set_x(DataSet.Single / function): Set X value

DataSet.Single: equivalent to (lambda i:"")

function: data_item -> desired_x_value

DataSet.set_y(DataSet.NumberOfAppearance/DataSet.Percentage/DataSet.PercentageWithinGroup/function): Set Y value NumberOfAppearance: Y value will be the number of appearance of X.

Percentage: Y value will be the percentage of appearance of X over the whole data set.

PercentageWithinGroup: Y value will be the percentage of appearance of X over the group.

function: [data_item] -> y_value / [y_values] Y value will be what your function returns.

DataSet.get_result(): Get the final result Example 1: {"x":y, "x2":y2} Example 2: {"x":[y11,y12], "x2":[y21,y22]}

DataSet.add_constraint(function, is_single): Add a constraint function: data_item -> boolean (indicates whether the value should be used)

is_single: indicates if the constraint applies to "whole data set"(Only makes difference when .SetY(Percentage)), defaults to False.

It may seem confusing. You can refer to unit tests or demo for more examples.

Licenses

datatoaster is released under the MIT License. See LICENSE for more information.