1# Copyright 2017-2020 Spotify AB
2#
3# Licensed under the Apache License, Version 2.0 (the "License");
4# you may not use this file except in compliance with the License.
5# You may obtain a copy of the License at
6#
7# http://www.apache.org/licenses/LICENSE-2.0
8#
9# Unless required by applicable law or agreed to in writing, software
10# distributed under the License is distributed on an "AS IS" BASIS,
11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12# See the License for the specific language governing permissions and
13# limitations under the License.
14
15from typing import Union, Iterable
16
17from pandas import DataFrame
18
19from spotify_confidence.analysis.frequentist.confidence_computers.generic_computer import GenericComputer
20from spotify_confidence.analysis.abstract_base_classes.confidence_computer_abc import ConfidenceComputerABC
21from spotify_confidence.analysis.abstract_base_classes.confidence_grapher_abc import ConfidenceGrapherABC
22from spotify_confidence.analysis.frequentist.generic_test import GenericTest
23from spotify_confidence.analysis.confidence_utils import listify
24from spotify_confidence.analysis.constants import BONFERRONI, METHOD_COLUMN_NAME
25
26
27class BootstrapTest(GenericTest):
28 def __init__(
29 self,
30 data_frame: DataFrame,
31 bootstrap_samples_column: [],
32 categorical_group_columns: Union[str, Iterable],
33 ordinal_group_column: Union[str, None] = None,
34 interval_size: float = 0.95,
35 correction_method: str = BONFERRONI,
36 confidence_computer: ConfidenceComputerABC = None,
37 confidence_grapher: ConfidenceGrapherABC = None,
38 ):
39
40 if confidence_computer is None:
41 confidence_computer = GenericComputer(
42 data_frame=data_frame.assign(**{METHOD_COLUMN_NAME: "bootstrap"}),
43 numerator_column=None,
44 numerator_sum_squares_column=None,
45 denominator_column=None,
46 categorical_group_columns=listify(categorical_group_columns),
47 ordinal_group_column=ordinal_group_column,
48 interval_size=interval_size,
49 correction_method=correction_method.lower(),
50 method_column=METHOD_COLUMN_NAME,
51 bootstrap_samples_column=bootstrap_samples_column,
52 )
53
54 super(BootstrapTest, self).__init__(
55 data_frame.assign(**{METHOD_COLUMN_NAME: "bootstrap"}),
56 None,
57 None,
58 None,
59 categorical_group_columns,
60 ordinal_group_column,
61 interval_size,
62 correction_method,
63 confidence_computer,
64 confidence_grapher,
65 METHOD_COLUMN_NAME,
66 bootstrap_samples_column,
67 )