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* waterfall chart setup * added total bar to chart
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# Copyright 2016-present CERN – European Organization for Nuclear Research | ||
# | ||
# 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 matplotlib import pyplot as plt | ||
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from qf_lib.containers.series.qf_series import QFSeries | ||
from qf_lib.plotting.charts.waterfall_chart import WaterfallChart | ||
from qf_lib.plotting.decorators.data_element_decorator import DataElementDecorator | ||
from qf_lib.plotting.decorators.title_decorator import TitleDecorator | ||
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def waterfall_demo_without_total(): | ||
data = DataElementDecorator(QFSeries([4.55, 5.23, -3.03, 6.75], | ||
['Value 1', 'Value 2', 'Value 3', 'Value 4'])) | ||
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chart = WaterfallChart() | ||
chart.add_decorator(data) | ||
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chart_title = TitleDecorator("Waterfall Chart Without Total") | ||
chart.add_decorator(chart_title) | ||
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chart.plot() | ||
plt.show(block=True) | ||
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def waterfall_demo_with_total(): | ||
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data_element = DataElementDecorator(QFSeries([4.55, 5.23, -3.03], | ||
['Value 1', 'Value 2', 'Value 3'])) | ||
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chart = WaterfallChart() | ||
chart.add_decorator(data_element) | ||
chart.add_total(6.75, title="Value 4") | ||
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chart_title = TitleDecorator("Waterfall Chart With Total") | ||
chart.add_decorator(chart_title) | ||
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chart.plot() | ||
plt.show(block=True) | ||
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def waterfall_demo_flag_total(): | ||
data_element = DataElementDecorator(QFSeries([4.55, 5.23, -3.03, 6.75], | ||
['Value 1', 'Value 2', 'Value 3', 'Value 4'])) | ||
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chart = WaterfallChart() | ||
chart.add_decorator(data_element) | ||
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chart.flag_total("Value 4") | ||
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chart_title = TitleDecorator("Waterfall Chart Flagged Total") | ||
chart.add_decorator(chart_title) | ||
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chart.plot() | ||
plt.show(block=True) | ||
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def waterfall_demo_with_percentage(): | ||
data_element_1 = DataElementDecorator(QFSeries([4.55, 5.23], | ||
['Value 1', 'Value 2'])) | ||
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data_element_2 = DataElementDecorator(QFSeries([-3.03, 6.75], | ||
['Value 3', 'Value 4'])) | ||
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chart = WaterfallChart(percentage=True) | ||
chart.add_decorator(data_element_1) | ||
chart.add_decorator(data_element_2) | ||
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chart_title = TitleDecorator("Waterfall Chart With Percentage") | ||
chart.add_decorator(chart_title) | ||
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chart.plot() | ||
plt.show(block=True) | ||
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def main(): | ||
waterfall_demo_without_total() | ||
waterfall_demo_with_total() | ||
waterfall_demo_flag_total() | ||
waterfall_demo_with_percentage() | ||
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if __name__ == '__main__': | ||
main() |
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# Copyright 2016-present CERN – European Organization for Nuclear Research | ||
# | ||
# 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 typing import Tuple, Optional, List | ||
from itertools import chain | ||
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import numpy as np | ||
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from qf_lib.plotting.decorators.coordinate import DataCoordinate | ||
from qf_lib.plotting.decorators.data_element_decorator import DataElementDecorator | ||
from qf_lib.plotting.decorators.text_decorator import TextDecorator | ||
from qf_lib.containers.series.qf_series import QFSeries | ||
from qf_lib.plotting.charts.chart import Chart | ||
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class WaterfallChart(Chart): | ||
def __init__(self, percentage: Optional[bool] = False): | ||
super().__init__() | ||
self.total_value = None | ||
self.cumulative_sum = None | ||
self.percentage = percentage | ||
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def plot(self, figsize: Tuple[float, float] = None) -> None: | ||
self._setup_axes_if_necessary(figsize) | ||
self._configure_axis() | ||
self._add_text() | ||
self._apply_decorators() | ||
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def _configure_axis(self): | ||
data_element_decorators = self.get_data_element_decorators() | ||
indices = list(chain.from_iterable(d.data.index for d in data_element_decorators)) | ||
self.axes.set_xlim(0, len(indices)) | ||
self.axes.tick_params(axis='both', which='major', labelsize=10) | ||
self.axes.set_xticks(range(len(indices) + 2)) | ||
self.axes.set_xticklabels(['', *indices, '']) | ||
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def _add_text(self): | ||
data_element_decorators = self.get_data_element_decorators() | ||
self.cumulative_sum = np.cumsum(np.concatenate([d.data.values for d in data_element_decorators])) | ||
for index, value in enumerate([value for data_element in data_element_decorators | ||
for value in data_element.data.items()]): | ||
y_loc = value[1] if index == 0 or value[0] == self.total_value else self.cumulative_sum[index] | ||
text = "{:.2f}%".format(value[1]) if self.percentage else value[1] | ||
self.add_decorator(TextDecorator(text, y=DataCoordinate(y_loc + 0.02), | ||
x=DataCoordinate(index + 1), | ||
verticalalignment='bottom', | ||
horizontalalignment='center', | ||
fontsize=10)) | ||
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def _plot_waterfall(self, index, value): | ||
if index == 0 or value[0] == self.total_value: | ||
color = '#A6A6A6' if value[0] == self.total_value else '#4472C4' if value[1] > 0 else '#ED7D31' | ||
bottom = 0 | ||
else: | ||
color = '#4472C4' if value[1] > 0 else '#ED7D31' | ||
bottom = self.cumulative_sum[index - 1] | ||
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self.axes.bar(index + 1, value[1], bottom=bottom, color=color) | ||
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def add_total(self, value, title: Optional[str] = "Total"): | ||
series = QFSeries([value], [title]) | ||
self.add_decorator(DataElementDecorator(series)) | ||
self.total_value = series.index | ||
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def flag_total(self, value): | ||
self.total_value = value | ||
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def apply_data_element_decorators(self, data_element_decorators: List["DataElementDecorator"]): | ||
for index, value in enumerate([value for data_element in data_element_decorators | ||
for value in data_element.data.items()]): | ||
self._plot_waterfall(index, value) |
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