56 lines
1.9 KiB
Python
56 lines
1.9 KiB
Python
# SPDX-FileCopyrightText: Copyright (c) 2025-2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: Apache-2.0
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from typing import Dict, List
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import numpy as np
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import pandas as pd
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from tabulate import tabulate
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def calculate_and_print_statistics(metrics: Dict[str, List[float]]) -> pd.DataFrame:
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"""
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Calculate statistics for a dictionary of metrics and print them in a tabular format.
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Args:
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metrics: Dictionary where keys are metric names and values are lists of metric values
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Returns:
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pandas.DataFrame: DataFrame containing the calculated statistics
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"""
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metric_names = []
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stats_data = []
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# Calculate statistics for each metric
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for metric_name, values in metrics.items():
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metric_names.append(metric_name)
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stats_data.append(
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{
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"Mean": np.mean(values),
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"Std Dev": np.std(values),
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"Min": np.min(values),
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"P25": np.percentile(values, 25),
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"Median": np.median(values),
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"P75": np.percentile(values, 75),
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"Max": np.max(values),
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}
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)
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# Replace the printing code with tabulate
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stats_df = pd.DataFrame(stats_data, index=metric_names)
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print(tabulate(stats_df, headers="keys", tablefmt="pretty", floatfmt=".2f"), "\n")
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return stats_df
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