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confidence_grapher_abc.py
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119 lines (100 loc) · 3.35 KB
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# Copyright 2017-2020 Spotify AB
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from abc import ABC, abstractmethod
from typing import Iterable, Union
from pandas import DataFrame
from spotify_confidence.chartgrid import ChartGrid
from ..constants import NIM_TYPE
class ConfidenceGrapherABC(ABC):
@abstractmethod
def __init__(
self,
data_frame: DataFrame,
numerator_column: str,
denominator_column: str,
categorical_group_columns: str,
ordinal_group_column: str,
):
pass
@abstractmethod
def plot_summary(self, summary_df: DataFrame, groupby: Union[str, Iterable]) -> ChartGrid:
"""Plot for each group in the data_frame:
if ordinal level exists:
line graph with area to represent confidence interval
if categorical levels:
Interval plots of confidence intervals by group
Args:
summary_df (DataFrame): A data frame produced by a
ConfidenceComputer's summary method
Returns:
ChartGrid object.
"""
pass
@abstractmethod
def plot_difference(
self,
difference_df: DataFrame,
absolute: bool,
groupby: Union[str, Iterable],
nims: NIM_TYPE,
use_adjusted_intervals: bool,
split_plot_by_groups: bool,
) -> ChartGrid:
"""Plot representing the difference between group 1 and 2 with
confidence intervals.
Args:
difference_df (DataFrame): A dataframe produced by a
ConfidenceComputer's difference method
Returns:
Chartify Chart object.
:param groupby:
"""
@abstractmethod
def plot_differences(
self,
difference_df: DataFrame,
absolute: bool,
groupby: Union[str, Iterable],
nims: NIM_TYPE,
use_adjusted_intervals: bool,
split_plot_by_groups: bool,
) -> ChartGrid:
"""Plot representing the difference between group 1 and 2 with
confidence intervals.
Args:
difference_df (DataFrame): A dataframe produced by a
ConfidenceComputer's difference method
Returns:
Chartify Chart object.
:param groupby:
"""
@abstractmethod
def plot_multiple_difference(
self,
difference_df: DataFrame,
absolute: bool,
groupby: Union[str, Iterable],
level_as_reference: bool,
nims: NIM_TYPE,
use_adjusted_intervals: bool,
split_plot_by_groups: bool,
) -> ChartGrid:
"""Compare level to all other groups or, if level_as_reference = True,
all other groups to level.
Args:
difference_df (DataFrame): A dataframe produced by a
ConfidenceComputer's multiple_difference method
Returns:
ChartGrid object.
"""